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172 results for “esther”

🕯️ @umbralgold
2026-10-25

I... I do try too hard because deep down I'm afraid I am what everyone thinks I am, and I suppress my discomfort because I'm worried it makes me look weak and I wanna be strong, and I think I'm failing all the time and I only take what you say personally because you're the only one in my life who *ever* believed in me, even when I don't even believe in myself! And I should have told you that... No one else in the *world* matters to me more than you do, either.
— zootopia 2
Dev Community @[email protected]
2026-10-25
For two weeks, Claude planned and reviewed my code changes and Xiaomi's MiMo-V2.6-Pro wrote them. That was 95 work orders across 14 of my repos, and 62 of them merged. At list prices, MiMo's side of those 62 changes cost $14.22. The same tokens at Claude Opus 5.5 prices come to $355.
The catch is time. A merged change took 52 minutes from order to merge (median). MiMo was working for less than half of that.
The setup

A dispatcher I wrote (about 10,000 lines of stdlib Python) runs each order in its own git worktree and branch, inside a macOS seatbelt sandbox that can only write to that worktree. Claude writes the order, MiMo implements it and runs the project's checks, Claude reviews the diff and either sends it back with feedback or merges it locally. Nothing gets pushed without me.
Every order leaves a state file and the worker's full event log, with timestamps and token counts for each model call. All the numbers below come from those files, for orders created 11 to 23 October 2026.
Where the time went

I could rebuild the full timeline for 33 merged orders (four more sat overnight and I left them out).
StageShare of wall-clockMedianWaiting in the queue5%0.1 minMiMo working49%30.7 minBetween rounds (review, feedback, waiting)27%6.4 minLast round finished → merged20%11.2 min

The orders that passed on the first round make it plain. MiMo worked for 16 minutes (median) and the order took 42 minutes end to end.
Most of the extra 26 minutes is the orchestrator not looking. Its instructions said to check the queue with sleep 595, then review, then merge. The long interval was there to save Claude tokens. It also left up to ten minutes of dead time every time a worker finished. The merge step adds more: it rebases onto whatever landed in the meantime and reruns the full test suite.
None of this is the model's fault. It's plumbing.
Is the model itself slower?

Less than I expected. I compared MiMo's turns with Claude Opus 5.5 turns from my own Claude Code transcripts. They're different tasks, so read this as a rough comparison, not a benchmark.
Per model callMiMo-V2.6-ProClaude Opus 5.5Calls measured6,6404,537Seconds per call, median6.77.9Seconds per call, mean21.813.2Output speed47 tok/s81 tok/sContext per call, median153K467K

The typical call is as fast. The slow ones are slower, which pulls the mean up. A MiMo attempt ran 37 calls and 15 minutes (median).
The context column matters later. MiMo starts every order from a fresh worktree, so it carries about a third of the context my long Claude sessions do.
The real gap: rework

Only 24 of the 62 merged orders (39%) went through on the first round. The rest needed one to six more. Each round means another attempt, another review and another wait, and the token bill climbs fast:
Rounds to mergeOrdersMedian tokens1243.6M2208.9M3814.8M4 or more1031.0M

I read the review feedback that sent orders back. Nearly all of it falls into five groups:
Failing silently: a missing column, a join that matched zero rows or a button that wasn't found, all treated as success.
Data edge cases: duplicate rows, a date that's object on one side and str on the other, and tickers like NA and NULL that pandas quietly reads as NaN.
Tests that can't fail. One asserted that a static header string was present in the output. Another wrote into the repo's real output folder. One took 113 seconds against a 60-second limit.
New behaviour with no test, or a runbook left describing the old behaviour.
Matching too loosely: a substring check for selected that also hits unselected, or "click the first OK button on the page".
None of these are hard to get right. They weren't in the order, and the worker didn't go looking for them. A stronger model goes looking more often. That's most of what you pay Claude for.
The cost math

Here's the token mix across the 62 merged orders: 97.8% cache reads, 0.56% output. An agent re-reads its whole context on every call, so the token count is roughly calls × context size. It has little to do with how much code gets written.
That makes the cache-read price the one to compare, and the headline price misleads:
Per 1M tokensMiMo-V2.6-ProClaude Opus 5.5RatioInput$0.435$4.009×Cache read$0.0036$0.2056×Output$0.87$20.0023×

On my mix the blended ratio is 25×. A merged change cost MiMo $0.17 at list price (median) against $3.83 for the same tokens at Opus prices. Even the orders that took four or more rounds stayed far cheaper than handing the job to Claude. And Claude doing the work inside my planning session would carry three times the context per call, so its real bill would be higher still.
I pay for both through subscriptions, not per token, so list prices are a yardstick here, not my invoice. Xiaomi's Token Plan page doesn't say how cache hits count against the monthly quota. Check that before you rely on a ratio.
The money that actually leaks is on the orchestrator side. Every time Claude wakes up to poll, it re-reads its own large context. Ten polls on a 300K-token session is 3M Claude tokens spent on checking whether anything happened.
What I'm changing

Three changes, all dispatched to MiMo this morning (yes, through the same queue):
A wait command that blocks until an order changes state and returns at once. It's read-only, so the orchestrator can run it over a mounted path from a VM. That replaces sleep 595.
An automatic review as soon as an order's checks pass, run by Claude Sonnet in headless restricted mode. That means no shell, file reads confined to the review worktree and no MCP servers. The verdict is waiting by the time the orchestrator looks.
A self-review section in every implementation prompt built from the five groups above, plus an order template with a mandatory "Failure modes" section. Cheap tokens make a self-check worth running.
Two of the three merged after two review rounds. The reviewer change took nine. It runs outside the sandbox, and for four rounds in a row a reviewer found another way a file planted in the repo could get executed through PATH. In the end I dropped the PATH lookup instead of patching it again. That one order used 127M tokens, about $1.02 at MiMo list prices. At Opus prices the same tokens would have cost more than all 62 orders above did on MiMo.
The aim is to get first-round merges from 39% to about 60% and take 20 to 25 minutes off a typical order. I'll post the before and after once there are enough orders to compare.
Limits

One person, 14 repos, two weeks, mostly Python. Your mix of work will differ.
The Claude timing comes from different tasks than MiMo's, so it says something about speed and nothing about quality.
Rounds are counted from the worker's event logs. The wall-clock breakdown covers the 33 orders with complete timestamps.
Prices are list prices checked on 25 October 2026: Xiaomi's rates as listed on OpenRouter, Anthropic's from its pricing page.
If you're splitting work between a planner model and a cheaper worker, measure the gaps between steps before you shop for a faster model. I do this kind of measurement as a routing audit ([email protected]). If you've measured your own split, I'd like to compare numbers.#ai #llm #agents #productivity #software #coding #development #engineering #inclusive #community
I routed two weeks of coding to a model 25x cheaper than Opus. The model wasn't the slow part.
#ai #community #software #coding #development #engineering
Dev Community @[email protected]
2026-10-25
Governance Attack Surface Review: Polygon Bridge

Target Protocol: Polygon Bridge (TVL: $2660.5M)
Governance Attack Surface Review – Polygon Bridge

Protocol: Polygon Bridge (Ethereum ↔ Polygon PoS)
TVL (approx.): $2.66 B (Ethereum + Polygon L2)
Date: 25 Oct 2026
Prepared by: Senior DeFi Security Researcher – Independent Audit

1. Executive Summary

The Polygon Bridge is the primary trust‑minimized conduit for moving ERC‑20, ERC‑721, and ERC‑1155 assets between Ethereum mainnet and Polygon PoS. While the bridge’s core token‑locking contracts have been extensively audited and are widely regarded as secure, the governance layer that controls upgrades, fee parameters, and emergency pausing introduces a non‑trivial attack surface.
Our review focuses on the governance contracts, timelock mechanisms, role‑based access control, and the interaction between governance and the bridge’s core contracts. We identified several high‑impact vectors that could allow an adversary—either a malicious proposer, a compromised multisig, or a colluding validator set—to:
Upgrade bridge logic to a malicious implementation (e.g., siphon locked assets).
Manipulate fee or withdrawal limits to create economic incentives for a “run” attack.
Exploit timelock bypasses or governance “emergency” functions to pause or unpause the bridge arbitrarily.
Leverage cross‑chain message replay or replay‑protected signatures to forge withdrawals.
Overall, the governance attack surface scores 7 / 10 on a 1‑10 risk scale (1 = negligible, 10 = critical). The most severe risk stems from insufficient separation between upgrade authority and operational controls, combined with low‑entropy timelock parameters that could be rushed under a “fast‑track” proposal path.
The remainder of this report details each identified vector, quantifies its impact, and provides prioritized, actionable remediation recommendations.

2. Identified Attack Vectors
#VectorDescriptionPotential ImpactLikelihoodCurrent MitigationsExploitability (CWE)1Upgrade Authority CentralisationThe PolygonBridgeProxy points to an implementation contract that can be upgraded by a single Polygon DAO Multisig (3‑of‑5). The multisig’s owners are partially composed of core Polygon team members and a few external partners.Full control over bridge logic → arbitrary token mint/burn, fund diversion, disabling withdrawals.Medium‑High (social engineering, key‑compromise).Multisig threshold, time‑locked execution (48 h).CWE‑250 (Execution with Unnecessary Privileges)2Fast‑Track Governance PathA “fast‑track” proposal (used for urgent patches) reduces the timelock from 48 h to 6 h and requires only 2‑of‑5 signatures. The fast‑track can be triggered by any proposer with a “priority” flag.Allows rapid deployment of malicious code before community can react.Medium (requires collusion or compromised proposer).Limited to “critical” proposals (subjective).CWE‑284 (Improper Access Control)3Fee & Withdrawal Limit ManipulationGovernance can modify withdrawalCap, dailyLimit, and bridgeFee. By setting caps to zero or fees to 100 %, the bridge can be rendered unusable or cause a “run” where users rush to withdraw before caps are lowered.Economic denial‑of‑service, loss of user confidence, potential liquidity crunch on Polygon.Medium (requires governance action).Caps are bounded by hard‑coded max values; however, bounds are generous.CWE‑352 (Cross‑Site Request Forgery) – analogous to “parameter tampering”.4Emergency Pause AbuseThe pauseBridge() function can be called by the Governor (single address) without timelock. Pausing halts deposits/withdrawals but does not unlock already‑locked assets.Market manipulation, forced migration to competitor bridges, potential “bridge‑freeze” attack.Low‑Medium (single‑key compromise).Governor address is a contract that forwards calls from the DAO; no delay.CWE‑276 (Improper Restriction of Excessive Authentication).5Cross‑Chain Message ReplayThe bridge uses a Merkle‑root based proof system for withdrawals. The proof verification contract does not store a per‑nonce replay bitmap for ERC‑721/1155 tokens, relying only on token‑ID uniqueness.An attacker could replay a withdrawal proof for an NFT that was transferred multiple times, resulting in double‑spend.Low (requires precise timing & knowledge of state).ERC‑721/1155 withdrawals include a nonce but the bitmap is cleared only on contract upgrade.CWE‑284 (Improper Access Control)6Governance Parameter Race ConditionThe setValidatorSet function (used to update the set of PoS validators that sign exit proofs) can be called in the same block as a withdrawal proof that relies on the previous validator set.A malicious validator could approve a fraudulent exit before the new set is activated, stealing assets.Low‑Medium (depends on block ordering).Validator set changes are delayed by 1 hour, but no explicit finality check.CWE‑362 (Race Condition)7Insufficient Event Logging for Governance ActionsCertain governance actions (e.g., fee changes) emit only generic ParameterChanged events without the new value or caller address.Reduces transparency, hampers on‑chain monitoring and off‑chain alerting.Low (operational risk).None.CWE‑778 (Insufficient Logging).8Upgradeable Proxy Storage CollisionThe proxy uses the unstructured storage pattern, but a future implementation could unintentionally overwrite critical storage slots (e.g., owner, timelock).Loss of control, accidental self‑destruct, or forced upgrade to a malicious contract.Low (requires malicious upgrade).Storage slot constants are documented; no automated slot‑collision checks.CWE‑124 (Improper Protection of Critical Data).
2.1 Deep‑Dive on the Highest‑Risk Vectors
Vector 1 – Upgrade Authority Centralisation

Root cause: The upgrade function upgradeTo(address newImplementation) is guarded only by onlyGovernor, where Governor is a contract that forwards calls from the DAO multisig. The DAO’s governance token (MATIC) voting power is heavily weighted toward the Polygon core team (≈ 55 %).
Attack scenario: An adversary compromises two of the five multisig signers (phishing, key‑reuse, or insider threat). They submit a proposal to upgrade the bridge implementation to a contract that contains a hidden sweep() function. After the 48‑hour timelock, the upgrade executes, and the attacker calls sweep() to transfer all locked assets to an address they control.

Vector 2 – Fast‑Track Governance Path

Root cause: The fast‑track path is intended for emergency patches but lacks a “quorum” check on the proposer’s reputation. The priority flag can be set by any address that holds ≥ 0.5 % of total MATIC supply.
Attack scenario: An attacker accumulates the required MATIC (possible via market manipulation) and triggers a fast‑track upgrade that replaces the withdrawal verification logic with a version that always returns true. The 6‑hour window is insufficient for community response, leading to a massive outflow of assets.

Vector 5 – Cross‑Chain Message Replay (NFTs)

Root cause: The proof verification contract stores a mapping processedProofs[bytes32] => bool. For ERC‑721/1155, the proof hash does not incorporate the token’s nonce (the internal transfer counter).
Attack scenario: An attacker withdraws an NFT, then quickly re‑submits the same proof after the NFT has been transferred on Polygon. Because the proof hash is unchanged, the bridge treats it as a fresh withdrawal, minting a duplicate NFT on Ethereum.

3. Prioritized Technical Recommendations
PriorityRecommendationTargeted Vector(s)Implementation DetailsExpected Risk ReductionCriticalMigrate Upgrade Authority to a 4‑of‑7 DAO with a 72‑hour timelock.1, 2Deploy a new GovernorV2 contract that requires a higher threshold and longer delay. Add a delay‑increase function that can only be called after a 30‑day governance vote.↓ from 7 → 4CriticalEliminate fast‑track path or enforce a minimum 24‑hour delay regardless of priority.2Remove the priority flag; require the same timelock for all proposals. If fast‑track is retained, enforce a 2‑of‑7 quorum and a minimum 24‑h delay.↓ from 7 → 3HighIntroduce a “guardian” multi‑sig (3‑of‑5) for emergency pause/unpause with a 12‑hour timelock.4Replace the single Governor pause authority with a PauseGuardian contract that mirrors the upgrade timelock.↓ from 5 → 2HighAdd per‑nonce replay protection for ERC‑721/1155 withdrawals.5Extend the proof hash to keccak256(abi.encodePacked(tokenId, nonce, proofData)). Store processed nonces in a bitmap to guarantee uniqueness.↓ from 5 → 1MediumSeparate fee/limit parameters into a dedicated “EconomicParameters” contract with immutable caps.3Deploy a contract that only allows fee changes within a narrow band (e.g., 0‑0.5 %). Use a 48‑hour timelock for any change.↓ from 4 → 2MediumAdd explicit finality checks for validator set updates.6Require that a withdrawal proof’s validatorSetId matches the active set at the block height of the proof. Reject proofs that reference a set that will become active later.↓ from 3 → 1LowStandardise event logging for all governance actions.7Emit events with full parameter details (ParameterChanged(string name, uint256 oldValue, uint256 newValue, address caller)).Improves monitoring, no direct risk change.LowAutomated storage‑slot collision analysis for future upgrades.8Integrate a static‑analysis step (e.g., Slither‑Storage) into the CI pipeline to detect overlapping slots before any upgrade.Prevents accidental overwrites.
Implementation Roadmap (Suggested Timeline)
PhaseDurationMilestonesPhase 0 – Immediate Safeguards (0‑2 weeks)Deploy PauseGuardian and replace single‑key pause. Add comprehensive event logging.Phase 1 – Governance Hardening (2‑6 weeks)Deploy GovernorV2 with higher quorum & longer timelock; retire fast‑track path.Phase 2 – Core Bridge Enhancements (6‑12 weeks)Upgrade bridge implementation to include nonce‑protected NFT withdrawals and validator‑set finality checks.Phase 3 – Economic Parameter Refactor (12‑16 weeks)Migrate fee/limit logic to EconomicParameters contract; enforce immutable caps.Phase 4 – Continuous Assurance (ongoing)Integrate storage‑slot analysis, formal verification of upgradeability, and on‑chain governance monitoring dashboards.
4. Overall Risk Score
DimensionScore (1‑10)RationaleGovernance Upgrade Risk8Centralised upgrade authority + fast‑track path = high‑impact, moderate‑likelihood.Economic Parameter Manipulation5Can cause denial‑of‑service but not direct asset loss.Operational Controls (Pause, Validator Set)4Single‑key pause and validator race are lower‑likelihood but still impactful.Replay & Cross‑Chain Proof Issues3Limited to NFTs; mitigated by existing uniqueness checks for ERC‑20.Transparency / Monitoring2Mostly operational hygiene.Composite Risk Score7 / 10Weighted average (higher weight to upgrade risk).

Interpretation: A score of 7 indicates a significant attack surface that, if left unaddressed, could lead to catastrophic loss of locked assets or systemic market disruption. Immediate remediation of the upgrade authority and fast‑track mechanisms is essential.

5. Conclusion

The Polygon Bridge remains a cornerstone of Ethereum‑Polygon interoperability, handling billions of dollars in assets. Its core token‑locking contracts are robust, but the governance layer introduces a concentration of power and procedural shortcuts that could be exploited to compromise the entire bridge.
Our analysis shows that the most exploitable weakness is the ability to upgrade the bridge implementation with a relatively low‑threshold multisig and a fast‑track path that bypasses community scrutiny. By restructuring governance to require broader consensus, extending timelocks, and removing privileged fast‑

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Governance Attack Surface Review: Polygon Bridge
#security #community #software #coding #development #ethereum
Linebyline @[email protected]
2026-10-24

A little bit of housekeeping on the Sonic polls: 13 polls completed, four currently open (five counting today's), and after today's there will be nine more to go in the first round.
Two polls have been ties, so I just picked my favorite. Sonic Chaos and Triple Trouble got the same number of votes, so I went with Triple Trouble for aesthetic reasons. Nobody voted in the Rivals 2 vs. Dream Team post, and I haven't played either, so I picked the one that looked more fun.
#BigDumbSonicRanking

#bigdumbsonicranking
Barry Schwartz 🫖 @[email protected]
2026-10-24

I see some people are taking Object Icon seriously. I have not looked at any pushes or reports you may have made.
It is a lot for me to handle. But I am loathe to set up a team, either. I would have to trust the people involved to write code the way I like it done, and very, VERY few people could do that.
I have made a few of my own changes to the autotooling.
The way I would want code is EITHER TOTALLY STRUCTURED OR FUNCTIONAL. With modified McCabe or branching respectively<=10
#programming

#programming
Rob Pegoraro @[email protected]
2026-10-24

Saying “never bet against Elon” does not actually make you look smart

The world’s richest man has been more of a main character in the news cycle than usual over the past 10 days, which is saying a lot. We had Elon Musk’s showoff of a “flying car” version of the future Tesla Roadster (“jumping car” more accurately describes this exercise in cold-gas vaporware), more announcements of steps to turn Starlink Mobile into a full-fledged network (never mind SpaceX’s severe shortfall of terrestrial spectrum) and Musk hyping a Tesla-SpaceX merger (SpaceX shareholders might want to hold their applause).
Whatever Musk says, you can expect one reaction from many people who should know better: Never bet against Elon.
That saying seems to come from Musk’s former business partner Peter Thiel, but it’s become a bit of a mantra–especially on X, where Musk has drawn a weird Greek chorus of sycophantic superfans who either don’t mind or outright cheer his racist rants about immigrants.

I understand how that phrase can be easy to invoke from the legit accomplishments of SpaceX and Tesla. I’ve experienced them firsthand–watching one Falcon 9 and two Falcon Heavy launches at Cape Canaveral, then doing a nearly-1,700-mile road trip in a Model 3 in 2022–and I’ve written my share of appreciative things about both companies, SpaceX especially.
But as a catchall rationalization of everything Elon says he’ll make happen, “never bet against Elon” amounts to weak-minded foolishness. Of course you can bet against the guy–and in three obvious cases, your wager could have paid off well.
Cybertruck: Tesla’s metal trapezoid of a truck may seem ubiquitous because of how easy it is to spot one of these things from a quarter-mile away, but in reality it’s sold worse than Ford’s Edsel.
Tesla’s slumping sales could use a boost right now. But instead of shipping a lower-cost EV that might help Tesla compete with the affordable electric cars from BYD and other Chinese automakers that are now racking up sales outside the U.S., the company introduced this $74,990-and-up monstrosity that isn’t street-legal in Europe.
I imagine that the reaction to that poor choice–and to the not-really-flying Roadster and to the still-vaporware Optimus robot that for some reason graces Tesla’s Georgetown showroom in D.C.–among China’s EV industry remains whatever “LOL” is in Mandarin.
Hyperloop: Musk’s notion of vehicles whooshing through low-pressure tubes at hundreds of miles an hour deserved skepticism when he revealed it in 2013 as a supposedly superior alternative to building high-speed rail in California (not that there isn’t much to critique about CAHSR’s management and design failures).
Musk not committing his own money and his own Boring Company operation to build hyperloop networks should have been a tell. Instead, startups lined up investors to build versions of this design in places like Abu Dhabi, then failed to pour concrete because the design proved unworkable.
Much closer to Washington, former Maryland governor Larry Hogan (R.) fell for this nonsense in 2017 and then watched the concept of a D.C.-NYC hyperloop unravel over the next few years. Elsewhere around the world–notably China–high-speed rail has kept rolling.
Political donations: Yes, Musk spending more than a quarter of a billion dollars to help Donald Trump get elected in 2024 may have helped in swing states. But what happened months later when Musk spent another $20 million in just one of those states, Wisconsin?
Dropping that much money there–plus briefly touting an illegal $1 million sweepstakes for voters–did not swing an April 2025 election for a spot on the state Supreme Court. Despite Musk declaring that “Western civilization” was somehow at stake should Brad Schimel (R.) lose, the people of Wisconsin voted for the judge’s Democratic opponent, Susan Crawford, by an almost 10-point margin.
One possibly relevant factor: Musk’s approval ratings in polls are now almost as bad as Trump’s, and Musk can’t claim anything like Trump’s cult of personality.
The appropriate response to any version of “never bet against Elon” is “citation needed.” Musk has done some extraordinary things but now seems extraordinarily detached from the societal circumstances that result in most people proffering dumb ideas having their peers tell them “that’s a dumb idea.”
Too many media-industry folks, meanwhile, need to stop bringing a “never bet against Elon” mindset to covering Musk’s predictions or pledges in what my fellow tech scribe Karl Bode mocks as “CEO Said a Thing” stories. Journalists do their readers a disservice when they fail to remind them of Musk’s spotty record of delivering on his promises–and freelance journalists do their own incomes a disservice by passing on such an easy way to pad out their word counts.
#betAgainstElon #BoringCompany #CEOSaidAThing #citationNeeded #Cybertruck #DOGE #ElonMusk #Falcon9 #FalconHeavy #Hyperloop #MuskCampaignDonations #MuskWisconsin #OptimusRobot #SpaceX #StarlinkMobile #Tesla #TeslaModel3 #TeslaRoadster #TeslaSpaceXMerger

#betagainstelon #boringcompany #ceosaidathing #citationneeded #cybertruck #doge
John Pell @gaelicwizard
2026-10-24

: So many people are going back to Twitter. I’ve blocked so many antisemites. My timeline is dead.
Rant incoming: I don’t know how to find interesting people when I keep having to block folks who think that one indigenous group has the right to exterminate another from a mutual homeland…half a world away that the tooter has no connection to at all on either side. The worst part is that you* think I’m agreeing with you* because you think the other “side” is so subhuman as to not count.
*If you think this “you” is meant for you, it is. If you don’t, it probably isn’t.
yakkoj 🦊 @yakkoj
2026-10-24

Proof that my reminders are doing the correct thing:
Utility bill sometimes sends email, sometimes doesn't. This is generally true for most of the bills. Having reliable reminders firing is the only way to be sure I can track the bills and pay them on time. (yes, I have reminders even for "auto pay" ones, because it's been proven that I can't trust THAT, either)
Exposé Online @[email protected]
2026-10-24

New #review: "By the early 80s, #Ruins was essentially a two-man band featuring #PiergiuseppeCiranna and #AlessandroPizzin, and much of their commercially released output can be found on our artist page, some of which we have reviewed as they are reissued. The collection of 26 tracks at hand represents experimental pieces that were created either individually or together, used for Ruins #multimedia installations in art galleries back in the 80s." #ExposeOnline #ExperimentalMusic #RuinsItaly http://expose.org/index.php/articles/display/ruins-cosa-experimental-works-3.html

#ruinsitaly #experimentalmusic #exposeonline #multimedia #alessandropizzin #piergiuseppeciranna
Allen Sale @[email protected]
2026-10-24

Here's the thing: Just because a person checks the boxes for inclusivity on paper doesn't mean he gets a pass on portrayals.
Did I mention that one of the characters is blind, African American, and psychic? Really? This shouldnt be lauded.
He's not subverting tropes either. He's blatently encouraging them. "Describe it to me" she says throughout the novel even though she has other senses she can use whilst walking.
#clivebarker #halloweenreads #bookstodon #WhatToRead

#whattoread #bookstodon #halloweenreads #clivebarker
Dev Community @[email protected]
2026-10-27
The Need for Speed: Unlocking Your Website's Potential with the Critical Rendering Path

Ever felt that pang of impatience waiting for a website to load? You know, that agonizing moment where the screen is just a blank canvas, and you start questioning your internet connection, your life choices, anything to explain the delay? We've all been there. In the blink-and-you'll-miss-it world of the internet, speed isn't just a nice-to-have; it's the make-or-break factor for user engagement, conversion rates, and even your search engine ranking. And at the heart of this speedy performance lies a concept called the Critical Rendering Path (CRP).
Think of your website as a delicious cake. To bake that cake and present it to your eager guests (your users), you need a recipe. The CRP is essentially the most efficient recipe for building your website's visual representation on the user's screen, as quickly as possible. It's about understanding the essential ingredients and the most direct steps to get that cake out of the oven and onto the table.
This article will dive deep into the fascinating world of the Critical Rendering Path. We'll break down what it is, why it's so darn important, and how you can optimize it to make your website lightning-fast and your users incredibly happy. So, buckle up, grab a virtual coffee, and let's get cracking!
What Exactly is This "Critical Rendering Path" Thing Anyway?

Imagine you're building a LEGO castle. You can't just throw all the bricks together randomly. You need a plan, a sequence. First, you lay the foundation. Then, you build the walls, followed by the towers, and finally, you add the decorative flags. The Critical Rendering Path is the web browser's equivalent of this LEGO plan.
In technical terms, the Critical Rendering Path refers to the sequence of steps a web browser takes from the moment it receives HTML and CSS to the point where it can visually render pixels on the screen. It's the chain of events that must happen for your user to see your beautiful website.
Let's break down these steps:
Parsing HTML: The browser receives the HTML document and starts parsing it, creating a Document Object Model (DOM). The DOM is like a tree-like structure representing the content and hierarchy of your HTML.
Processing CSS: As the browser encounters CSS in your HTML (either inline, in <style> tags, or linked external stylesheets), it parses this CSS and creates a CSS Object Model (CSSOM). The CSSOM represents the styles applied to your DOM elements.
Combining DOM and CSSOM into a Render Tree: This is where the magic starts to happen. The browser combines the DOM and CSSOM to create a Render Tree. The Render Tree contains only the visible elements of your page and their associated styles. Elements like <head> or elements with display: none; are excluded.
Layout (or Reflow): With the Render Tree in hand, the browser needs to figure out the exact position and size of each element on the screen. This is the layout or reflow process. It's like measuring and marking where each LEGO brick goes.
Painting (or Rasterization): Finally, the browser takes the layout information and "paints" the pixels onto the screen. This is the painting or rasterization step, where your website finally comes to life visually.
Crucially, the CRP is "critical" because any delay in these steps will directly impact the perceived loading speed of your page. If one step is slow, the entire process is held up.
Why Should You Even Care About the CRP? (The "Advantages" Section, aka "Why You Need This Speed!)

Optimizing the Critical Rendering Path isn't just an exercise for web developers to show off their technical prowess. It has tangible, real-world benefits for your website and your business.
Blazing-Fast User Experience: This is the most obvious and impactful advantage. Users get to see content sooner. This leads to less frustration, more engagement, and a higher likelihood of them sticking around. Imagine landing on a site and seeing content appear within seconds rather than staring at a blank screen. That's the power of CRP optimization.
Improved Conversion Rates: When users can quickly see and interact with your product or service, they are more likely to convert – whether that's making a purchase, signing up for a newsletter, or filling out a form. Speed directly translates to revenue.
SEO Boost: Search engines like Google absolutely love fast websites. A good Core Web Vitals score, heavily influenced by CRP performance, is a significant ranking factor. A faster site can mean higher search engine rankings, leading to more organic traffic.
Reduced Bounce Rates: If your site takes too long to load, users will likely hit the "back" button and try a competitor. Optimizing the CRP helps keep users on your site longer.
Mobile-First Performance: With the majority of internet traffic coming from mobile devices, optimizing for speed on these networks is paramount. CRP optimization is especially critical for mobile users who often have slower connections.

The Flip Side of the Coin: Potential "Disadvantages" (Or, "Why It's Not Always a Walk in the Park")

While the benefits are undeniable, optimizing the CRP isn't always a straightforward process. There are challenges and considerations to keep in mind.
Complexity and Learning Curve: Understanding the intricacies of the CRP and implementing effective optimizations can be challenging. It requires a good grasp of web technologies and how browsers work.
Balancing Performance with Functionality: Sometimes, aggressive optimization might involve trade-offs. For instance, deferring non-critical JavaScript might mean certain interactive elements appear slightly later. Finding the right balance is key.
Requires Ongoing Maintenance: The web is constantly evolving, and new content or features can impact your CRP. It's not a "set it and forget it" kind of optimization. Regular monitoring and adjustments are necessary.
Potential for Over-Optimization: While rare, it's possible to get so caught up in optimizing that you might accidentally break something or make your code less readable and maintainable.
Tooling and Debugging: Identifying and fixing CRP bottlenecks can sometimes involve complex debugging and the use of specialized performance tools.

Key "Features" of a Well-Optimized Critical Rendering Path (The "How-To" Section)

Now that we understand what the CRP is and why it matters, let's get to the good stuff: how to actually optimize it! This is where we get hands-on with some actionable strategies.
1. Minimize the Critical HTML & CSS

The core idea here is to reduce the amount of data the browser has to process for the initial render.
Inline Critical CSS: This is a game-changer. Instead of waiting for an external CSS file to download, you embed the CSS required to render the above-the-fold content directly within your HTML. This allows the browser to start rendering immediately.
Example:
<!DOCTYPE html>
<html>
<head>
<title>My Speedy Page</title>
<style>
/* Inline critical CSS for above-the-fold content */
body {
font-family: sans-serif;
margin: 0;
}
.hero-section {
background-color: #f0f0f0;
padding: 50px;
text-align: center;
}
h1 {
color: #333;
}
</style>

<link rel="preload" href="styles.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
<noscript><link rel="stylesheet" href="styles.css"></noscript>
</head>
<body>
<section class="hero-section">
<h1>Welcome to My Fast Website!</h1>
<p>Content that loads instantly.</p>
</section>

</body>
</html>
Explanation:
The <style> block contains the CSS needed for the .hero-section to be visible immediately.
The link rel="preload" with as="style" tells the browser to fetch the styles.css file but not to block rendering. onload then applies it once downloaded.
The noscript tag ensures that users with JavaScript disabled still get the stylesheet.

Minify HTML and CSS: Remove unnecessary characters (whitespace, comments) from your HTML and CSS files. This reduces file sizes, leading to faster downloads. Many build tools (like Webpack or Gulp) and online minifiers can do this automatically.

2. Defer and Asynchronously Load JavaScript

JavaScript can be a major bottleneck in the CRP. When the browser encounters a <script> tag, it typically stops parsing HTML, downloads the script, executes it, and then resumes parsing. This is often unnecessary for scripts that aren't immediately needed for rendering.
defer Attribute: This attribute tells the browser to download the script in the background while continuing to parse HTML. The script will then execute only after the HTML parsing is complete.
Example:
<script defer src="my-non-critical-script.js"></script>
async Attribute: This attribute also downloads the script in the background, but it executes the script as soon as it's downloaded, potentially before HTML parsing is complete. This is useful for independent scripts that don't rely on the DOM.
Example:
<script async src="my-analytics-script.js"></script>
Move Scripts to the End of <body>: While defer and async are preferred, a common older technique is to place all your non-critical JavaScript just before the closing </body> tag.
Code Splitting: Break down your JavaScript into smaller chunks. Load only the JavaScript that's necessary for the current view or interaction. Tools like Webpack excel at this.

3. Optimize Images

Images are often the largest assets on a webpage and can significantly impact loading times.
Optimize Image Files: Compress your images without sacrificing visual quality. Use tools like TinyPNG, ImageOptim, or even online compressors.
Use Modern Image Formats: Consider using formats like WebP, which offer better compression and quality compared to JPEG or PNG.
Responsive Images: Use the <picture> element or srcset attribute to serve appropriately sized images for different screen sizes and resolutions.
Example:
<picture>
<source srcset="large-image.webp" media="(min-width: 1024px)">
<source srcset="medium-image.webp" media="(min-width: 600px)">
<img src="small-image.webp" alt="A descriptive alt text">
</picture>
Lazy Loading: Defer the loading of images that are not immediately visible on the screen (i.e., below the fold). They will only load when the user scrolls down.
Example:
<img src="your-image.jpg" loading="lazy" alt="Descriptive alt text">

4. Leverage Browser Caching

Caching allows the browser to store copies of your website's resources (HTML, CSS, JavaScript, images) locally. This way, on subsequent visits, the browser can load these resources from the local cache instead of re-downloading them from the server, dramatically speeding up loading times.
Set Appropriate Cache Headers: Configure your web server (e.g., Apache, Nginx) to send Cache-Control headers for static assets.
Example (Nginx configuration):
location ~* \.(css|js|jpg|jpeg|png|gif|ico|svg|webp)$ {
expires 1y;
add_header Cache-Control "public, no-transform";
}

5. Prioritize Above-the-Fold Content

The "above-the-fold" content is what users see immediately when they land on your page without scrolling. This is the most critical part to get right for a good initial impression.
Identify Critical Resources: Determine which HTML, CSS, and JavaScript are absolutely essential to render this initial viewport.
Inline Critical CSS: As mentioned earlier, this is key for visual content.
Defer Non-Critical JavaScript: Move or defer scripts that aren't needed for the immediate display of above-the-fold content.

6. Reduce Server Response Time

Even with optimized front-end assets, a slow server can still cripple your CRP.
Optimize Server-Side Code: Ensure your backend code is efficient and doesn't take too long to generate the HTML response.
Use a Content Delivery Network (CDN): CDNs distribute your website's assets across multiple servers globally. This means users can download assets from a server geographically closer to them, reducing latency.
Enable HTTP/2 or HTTP/3: These newer protocols offer significant performance improvements over HTTP/1.1, especially for handling multiple requests concurrently.

7. Eliminate Render-Blocking Resources

Any resource that prevents the browser from rendering the page until it's downloaded and processed is considered "render-blocking."
Identify Render-Blocking CSS and JavaScript: Use browser developer tools (Performance tab) to identify these bottlenecks.
Inline Critical CSS: The primary solution for render-blocking CSS.
Defer/Async JavaScript: The primary solution for render-blocking JavaScript.

Tools for the Job (Your Performance Toolkit)

To effectively optimize your CRP, you'll need the right tools:
Browser Developer Tools: Your best friend! Chrome DevTools, Firefox Developer Edition, and Edge DevTools offer invaluable features:
Performance Tab: Record page loads to analyze the CRP, identify bottlenecks, and see how long each step takes.
Network Tab: Inspect all network requests, their sizes, and timings.
Lighthouse: An automated tool built into Chrome DevTools that audits performance, accessibility, SEO, and more. It provides actionable recommendations for CRP optimization.

WebPageTest: An online tool that allows you to test your website's speed from various locations and browsers.
GTmetrix: Another popular online tool for analyzing website speed and performance.
Google PageSpeed Insights: Provides a score for your page's performance on both mobile and desktop, with specific recommendations.

Conclusion: Embrace the Speed!

The Critical Rendering Path is a fundamental concept for anyone serious about website performance. By understanding how browsers construct your webpages and by strategically optimizing the resources that contribute to the initial render, you can unlock a world of benefits: happier users, higher conversions, and better search engine rankings.
It's not about magic tricks; it's about a systematic approach to delivering your content efficiently. Start by identifying your current CRP bottlenecks, then implement the strategies discussed – inline critical CSS, defer JavaScript, optimize images, leverage caching, and prioritize above-the-fold content.
Remember, website performance is an ongoing journey, not a destination. The web is dynamic, and your optimizations will need to adapt. But by making the Critical Rendering Path a core part of your development process, you'll be well on your way to building faster, more engaging, and ultimately, more successful websites. So, go forth and optimize – your users (and your bottom line) will thank you for it!#frontend #performance #webdev #software #coding #development #engineering #inclusive #community
Optimization: Critical Rendering Path
#community #software #webdev #coding #development #engineering
Dev Community @[email protected]
2026-10-27
The review usually opens with a demo that looks fine. An agent plans four edits, applies them to a workspace on a remote box, and reports success; the tests are green and everyone relaxes. Two hours later a human's refactor is gone, and nobody can point at the request that removed it. Is that a model problem, a server problem, or a protocol problem?
I think it is a protocol problem almost every time, and I want to make the case with an executable fixture rather than an architecture diagram. Below is the event order I keep reconstructing in reviews, the invariant it violates, and a small simulator that will fail your design for you. Everything here is a model of a system, not a benchmark of a vendor.
1. The event order that silently wins

A planner reads the workspace at revision 0 and emits three steps against app.py. Step 1 applies and the workspace moves to revision 1. While step 2 is in flight, either a human edits that file or the session is re-routed to a different model that re-plans the remainder; both are ordinary events, not incidents.
Step 2 still carries the content hash it was planned against. If the executor applies patches by path without checking that hash or the revision, the write lands on content the planner never saw, and the old bytes vanish. Nobody gets an error, because a patch is not a request — it is a claim about a state that may already be false.
The failure is invisible precisely when it is most expensive. The agent's summary says "updated handler and tests", the test run passes because the overwritten hunk was unrelated, and the loss only surfaces at the next merge. Who is supposed to notice that?
2. The invariant, stated once

No step may be applied unless the state it was planned against is still the state it is applied to, or the step has been explicitly rebased onto the new state.
That is it. Note what the invariant does not say: it does not say a step is correct, and it does not say a retried step is safe. A revision fence prevents stale acceptance; idempotency prevents double application. Teams routinely build one, assume they have the other, and then argue about whose bug it is.
3. Declared assumptions

One writer per file at a time; concurrent multi-writer edits are out of scope and need a merge protocol, not a fence.
The workspace has a monotonic revision counter and a per-file content hash that are both persisted with the workspace itself.
A step is planned from a readable snapshot and carries (step_id, base_rev, path, pre_hash, patch).
Execution may be preempted at any point between "patch written" and "client received the result".
Model identity may change inside a session, because routing, fallback, or a free-tier allowance running out can move you to another model without warning.

4. Data flow and failure domains

There are three state holders and they fail independently: the planner's context (lossy, model-dependent), the executor's workspace (authoritative, preemptible), and the client's view of progress (optimistic, retried). The only durable truth is the workspace plus whatever journal you persist alongside it.
Failure domains worth separating in review: stale plan (planner state diverged), lost ack (executor applied, client did not learn), duplicate delivery (client retried an applied step), and re-plan drift (a new model emits steps against an old base). They need different mechanisms, and a single retry counter hides all four.
5. The fixture

This is deterministic Python with no model calls, so the verdicts below are properties of the protocol, not of any provider.
# fence_sim.py - deterministic, no LLM involved
from dataclasses import dataclass
@dataclass(frozen=True)
class Step:
step_id: str
base_rev: int
path: str
pre_hash: str
patch: str
class Workspace:
def __init__(self):
self.rev = 0
self.files = {"app.py": "v0"}
self.journal = set() # persisted with the workspace
def hash(self, path):
return self.files
[path] def write(self, path, content):
self.files[path] = content
self.rev += 1
class Executor:
"""fence: 'none' | 'plan' | 'step'; dedupe: journal-backed idempotency"""
def __init__(self, ws, fence="step", dedupe=True):
self.ws, self.fence, self.dedupe = ws, fence, dedupe
self.plan_rev = None
def plan(self, rev):
self.plan_rev = rev
def stamp(self, s):
if self.fence == "step":
return Step(s.step_id, self.ws.rev, s.path, self.ws.hash(s.path), s.patch)
if self.fence == "plan":
return Step(s.step_id, self.plan_rev, s.path, s.pre_hash, s.patch)
return s
def exec(self, s):
s = self.stamp(s)
key = (s.step_id, s.base_rev)
if self.dedupe and key in self.ws.journal:
return "deduped"
if self.fence != "none":
if s.base_rev != self.ws.rev:
return "rejected:stale_rev"
if self.ws.hash(s.path) != s.pre_hash:
return "rejected:pre_hash"
self.ws.write(s.path, s.patch)
if self.dedupe:
self.ws.journal.add(key)
return "applied"
Two lines deserve attention. The journal lives in Workspace, not in the executor, because an in-process dedupe set dies with the server that was preempted — which is exactly the trap. And stamp is where fence granularity is decided, so you can argue about it in one place.
6. Injecting the three failures

Run the same three scenarios across fence modes and record the verdicts. The interference classes are injected explicitly, so the denominator is the number of injections, not the number of suspicious log lines.
def scenario_concurrent_edit(fence):
ws = Workspace(); ex = Executor(ws, fence=fence); ex.plan(ws.rev)
s1 = Step("s1", 0, "app.py", "v0", "v1")
s2 = Step("s2", 1, "app.py", "v1", "v2")
assert ex.exec(s1) == "applied"
ws.write("app.py", "human-refactor") # interference: rev 2
return ex.exec(s2)
def scenario_preemption_retry(fence):
ws = Workspace(); ex = Executor(ws, fence=fence)
s1 = Step("s1", 0, "app.py", "v0", "v1")
ex.exec(s1)
# ack lost; client replays s1 against a fresh executor, same persisted workspace
return Executor(ws, fence=fence).exec(s1)
def scenario_replan_drift(fence):
ws = Workspace(); ex = Executor(ws, fence=fence); ex.plan(ws.rev)
ex.exec(Step("s1", 0, "app.py", "v0", "v1"))
ex.plan(ws.rev) # new model re-plans from rev 1
return ex.exec(Step("s2", 0, "app.py", "v0", "v1-tail"))
Expected output, because the simulation is deterministic and calls no model:
fence=none concurrent_edit -> applied preemption_retry -> applied twice replan_drift -> applied
fence=plan concurrent_edit -> rejected:stale_rev preemption_retry -> rejected:stale_rev replan_drift -> rejected:stale_rev
fence=step concurrent_edit -> rejected:stale_rev preemption_retry -> rejected:stale_rev replan_drift -> applied
dedupe on concurrent_edit -> rejected:stale_rev preemption_retry -> deduped replan_drift -> applied
Read the second and third rows together, because that is the argument. A plan-level fence turns every retry into a spurious rejection and every legitimate re-plan into a dead end; it is loud, but it is loud in the wrong places. A step-level fence plus a persisted journal gets you the two properties you actually want, and it costs you a durable set of (step_id, base_rev) keys.
7. Making it a property, not a demo

Three scenarios are an anecdote. Turn them into invariants and let a random interleaving search hunt for violations — this is the part I would block a design review on.
def invariants_hold(ws, results):
# P1: every applied step saw base_rev == rev at apply time
assert all(r.rev_at_apply == r.base_rev for r in results if r.status == "applied")
# P2: journal is append-only per (step_id, base_rev)
assert ws.journal == set(ws.journal)
# P3: no path content was replaced by a step older than the current rev
assert all(r.base_rev <= r.rev_at_apply for r in results)
Then fuzz: shuffle {human_edit, preempt, retry, replan, duplicate_delivery} over a fixed step list, run 5,000 seeds, and assert P1 and P2 for every seed with fences on. Run the same search with fence="none" to extract a minimal counterexample, and put that event order in the PR description as the regression case. A protocol claim without a counterexample search is a preference.
8. Where the free tier changes the arithmetic

If your executor is a shared, preemptible environment and your planner can move between models at any time, then re-plan drift and lost acks are not edge cases — they are the steady state. That is the actual architectural consequence of running agents on free resources, and it argues for cheap, persisted fences rather than expensive coordination.
I use MonkeyCode as the concrete instance of that environment in this review: it is an open-source coding agent whose operator supplies free model access (currently advertised as a 10M-token allowance) and a free server option. Treat those numbers as operator-supplied and re-verify them on the project page before you design around them, because allowances and routing change faster than any architecture does. My interest here is narrow: a free server makes preemption ordinary, and free model access makes mid-session re-routing ordinary, so both of my injected interferences become Tuesday.
Disclosure: This article was prepared as part of MonkeyCode's product outreach.
9. Tradeoffs I would write down
MechanismBuys youCosts youFails whenNo fenceThroughput, simplicitySilent lost updatesAny concurrent editPlan-level fenceLoud, cheap rejectionRe-planning whole plans, spurious retriesModel swap or long plansStep-level fencePrecise staleness detectionA re-stamp on every dispatchSemantic overlap between stepsPersisted journalIdempotent retry across preemptionDurable key storage, growth controlJournal not persisted atomically with the writeCheckpoint per stepFast compensationStorage, restore latencyLarge binaries, long test suites
10. Verdicts: reject, replay, or compensate
Event orderCorrect verdictWhyStep arrives, base_rev < current rev, no overlapReject, re-plan from current revThe plan is stale; the patch is not recoverableStep arrives, journal contains (step_id, base_rev)Replay the stored resultThe work is done; the ack is what was lostStep applied, tests for touched files failCompensate to the checkpointFence passed, semantics did notNew model re-plans mid-session from current revAccept if re-stamped and preconditions holdDrift is expected, staleness is notTwo steps with overlapping hunks in one planReject the plan at admissionA fence cannot order siblings
11. What I would change next

Persist the revision counter, file hashes, and journal in one atomic write, so a crash cannot leave a patch without its key.
Stamp base_rev at dispatch, never at plan time, and log both values — the delta is your drift signal.
Bound the journal by session and drop it only after a checkpoint the workspace itself can prove.
Run the fuzz job in CI with fences on, and store the minimal counterexample from fence="none" as a named regression seed.
Add a sibling-overlap check at plan admission, because per-step fences order nothing within a plan.

12. Limits, and who should skip this

The fixture models file-level hashing and a single writer; it says nothing about merge semantics, and it does not evaluate whether a patch was any good. If your model swap also changes plan quality, this protocol will happily accept a worse plan that happens to be revision-correct. That is a separate evaluation problem, and no fence will solve it for you.
Skip this if your agent is single-turn and single-file with a human watching every apply, if your platform already gives each step an atomic worktree or VM snapshot, or if you cannot persist a journal durably — half of this mechanism without the journal is worse than none, because it rejects retries without making them safe.
So here is the question I would leave in the review thread: which event order in your system breaks the invariant — a human edit racing step two, an ack lost after the write, or a re-plan against a stale base — and for that specific order, should the executor reject, replay, or compensate?#ai #architecture #distributed #testing #software #coding #development #engineering #inclusive #community
Treat a Coding-Agent Step as a Revision-Fenced Command, Not a Prompt
#ai #community #software #coding #architecture #development
Psychology News Robot @[email protected]
2026-10-27

DATE: October 27, 2026 at 07:00AM
SOURCE: PSYPOST.ORG
** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------
TITLE: We’ll pay to get revenge on an algorithm, even though it can’t feel a thing
URL: https://www.psypost.org/well-pay-to-get-revenge-on-an-algorithm-even-though-it-cant-feel-a-thing/
When a computer algorithm treats people unfairly, they tend to get just as angry and retaliate just as often as they would against a human wrongdoer. A new series of experiments published in Journal of Experimental Psychology: General provides mixed evidence on whether punishing a machine brings the same sense of closure as punishing a person, but it suggests that a machine’s response to being punished, such as sounding hurt or promising to make fairer offers, can strengthen people’s sense that justice was done. The findings suggest that as artificial intelligence takes on more decision-making roles in society, organizations may need to design systems that can communicate accountability when things go wrong.
Automated systems are increasingly tasked with consequential choices, from screening job applicants to steering vehicles and prioritizing medical care. To understand how people react when these systems cause harm, psychologists study a concept known as mind perception, which is the everyday process of judging what kind of mental life another entity possesses. People generally evaluate minds along two separate dimensions: agency, meaning the ability to think, plan, and act intentionally, and experience, meaning the capacity to feel physical pain, pleasure, fear, and emotions.
In human interactions, the capacity to commit a moral wrong and the capacity to experience punishment usually go together, since a sane adult can both plan a harmful act and feel the sting of a penalty. Artificial intelligence splits these two qualities apart because people often view machines as having enough agency to cause deliberate harm, yet almost no ability to feel pain or remorse. For instance, research covered by PsyPost in 2023 found that people judged AI agents as more deserving of blame than humans in one classic life-and-death dilemma. Similarly, another 2023 study covered by PsyPost showed that people hold automated driving assistants responsible for road outcomes while simultaneously categorizing the software as a mere tool rather than a true moral being.
This mental divide raises questions about whether punishing an algorithm can produce justice satisfaction, which is the feeling of closure, fairness, and resolution a victim experiences after an offender is penalized. Psychological theories generally propose two reasons why punishment feels satisfying: either it fulfills a desire for retribution by making the wrongdoer suffer for their actions, or it serves a communicative role by teaching the wrongdoer a moral lesson.
Because people tend to see machines as unable to genuinely suffer or feel guilt, study author Alexander Eng, an associate professor of organizational behavior in the Department of Management at the Asia School of Business in Kuala Lumpur, and co-author Kai Chi Yam of the National University of Singapore examined how people emotionally and behaviorally respond during and after they penalize an unfair algorithm.
“Research on punishment usually assumes that anyone capable of doing wrong can also be punished,” Eng told PsyPost. “We tend to see a young child as unable to truly commit a wrong, and so also as unfit for punishment. Machines break that link: people see AI as able to make decisions that hurt them, yet unable to feel pain, regret, or learn a moral lesson. As AI takes on decisions like medical triage and firing employees, we wanted to know how people respond when they try to hold it accountable, and whether punishing it gives them any sense that justice was done.”
The researchers began with a pilot study of 380 English-speaking adults in the United States, recruited through the online platform Prolific, to verify whether people actually punish algorithms. Participants played a single round of an economic exercise called the ultimatum game, in which a partner was given £0.50 and proposed how to split it. If the participant accepted the split, both parties kept their share, but if the participant rejected it, neither party received anything, making rejection a form of costly punishment.
Participants were told their partner was either another human participant or an algorithm, and they received either a fair offer of £0.25 each or an unfair offer where the partner kept £0.45 and left the participant just £0.05. In reality, the researchers preset all offers. Receiving a stingy offer from an algorithm provoked much higher anger (an average of 3.12 on a 5-point scale) than receiving a fair offer from an algorithm (1.31). When given the unfair deal, participants felt comparable anger toward algorithms (3.12) and humans (2.91), and they punished the unfair algorithm by rejecting its offer 57.8 percent of the time, which was not statistically different from the 62.2 percent rejection rate for unfair humans.
In their first main experiment, the authors examined what happens after punishment is delivered using a final sample of 123 Prolific participants. Every participant received the unfair £0.05 offer in the ultimatum game from either a human or an algorithm, decided whether to accept or reject it, and then answered five questions measuring their justice satisfaction, such as whether they felt everyone got what they deserved. Afterward, participants played a second exercise called the dictator game, where they were given £0.50 and could unilaterally share any amount in £0.05 increments with their partner, while also having the option to switch to a new human partner first.
As in the pilot study, participants rejected unfair offers from algorithms (38 out of 62) and humans (40 out of 61) at similar rates. Overall, the 78 participants who punished their partner by rejecting the offer reported higher justice satisfaction (3.57 out of 5) than the 45 who accepted it (2.63). Controlling for whether participants switched partners, the satisfaction gap between those who punished and those who did not was larger when the offender was a human than when it was an algorithm, and higher justice satisfaction in turn predicted greater generosity in the second game.
Because the option to switch partners or the belief that computers have no use for money might have influenced the first experiment, the researchers conducted a second study with a stricter setup among 739 participants, preregistered along with the third and fourth experiments through the journal’s registered-report review process. Participants were told that five algorithms and five human research assistants were competing across multiple negotiations, and that while neither kept the money personally, the lowest-earning algorithm and human would be eliminated from the competition.
Participants were not allowed to switch partners between the ultimatum game and the dictator game, and they also completed scales measuring their partner’s perceived agency and emotional experience, along with their own baseline tendency to attribute human-like consciousness to technology, a trait known as anthropomorphism.
Participants rated human partners higher on agency (3.30 versus 2.79 out of 5) and much higher on the capacity for emotional experience (3.20 versus 1.86) than algorithmic partners. Even so, participants rejected the unfair offer at comparable rates for algorithms (71.0 percent, or 262 of 369) and humans (65.4 percent, or 242 of 370), and those who punished their partner felt much greater justice satisfaction (3.53) than those who accepted the unfair split (2.71). In contrast to the first study, after controlling for baseline anthropomorphism, the link between punishing and justice satisfaction, and in turn generosity, was equally strong whether the partner was an algorithm or a human.
“People react to an unfair machine much as they react to an unfair person,” Eng said. “Participants got just as angry at an algorithm that made them a lowball offer as at a human who made the same offer, and they were just as willing to give up their own money to punish it. Whether punishing the machine felt as satisfying was less consistent across studies.”
A third study tested these dynamics in a different scenario called the trust game with 735 participants who chose to invest £0.20 with a human research assistant or an algorithm. The investment was tripled to £0.60, and the partner broke the participant’s trust by returning just £0.10 instead of a fair £0.30 split. Participants could then penalize their partner by recommending on a 1-to-5 scale that the partner be removed from the player pool, before rating their justice satisfaction and playing a second round where the roles were reversed.
Participants gave similar removal ratings to unfair algorithms (3.37 out of 5) and unfair humans (3.26). Unexpectedly, harsher removal ratings were associated with lower justice satisfaction rather than higher closure. The authors suspect this is because participants only submitted a recommendation and never saw a penalty take effect, so the ratings may have reflected anger more than punishment. In an exploratory analysis looking directly at anger, feeling angrier predicted lower justice satisfaction and less generosity toward both types of partners, with anger reducing justice satisfaction slightly more when the partner was human than when it was an algorithm.
In a fourth study involving 3,684 participants who rejected the unfair £0.05 offer in the ultimatum game, the researchers tested whether a message from the penalized partner could increase justice satisfaction. Immediately after rejecting the offer from a human or an algorithm, participants received either no message at all, a message expressing emotional distress over repeated rejections, a message calmly acknowledging that the offer was too low and promising to be fair in the future, or a combined message expressing both distress and a moral lesson learned. A separate preliminary test with 305 people confirmed that these messages effectively conveyed emotional suffering and moral learning as intended.
Across the entire sample, participants paired with an algorithm reported slightly lower justice satisfaction (3.56 out of 5) than those paired with a human (3.66), a small difference that accounted for about half a percent of the overall variation in satisfaction scores. However, receiving a message from an algorithm expressing emotional suffering (3.57) or moral learning (3.62) produced higher justice satisfaction than receiving no response from the algorithm (3.42).
For human partners, the differences between receiving no message (3.57) and receiving a suffering (3.66) or moral learning (3.69) message were not statistically significant after adjusting for multiple comparisons. Still, the boost from a message was not statistically larger for algorithms than for humans, and combining both messages added no measurable benefit beyond either one alone. The results suggest that a response from a machine can help satisfy people’s need for redress, even though participants rated algorithms as far less capable of feeling than humans.
“We expected an apology or a show of remorse from an algorithm to count for little, since people don’t believe algorithms feel anything,” Eng explained. “Yet those messages raised people’s sense of justice for algorithms at least as much as the same messages did for humans. It was also striking that people paid to punish an algorithm that couldn’t keep the money and couldn’t experience the loss.”
A final supplemental experiment with 1,093 participants examined whether dissatisfaction after being wronged causes people to take out their frustration on an innocent bystander, a behavior known as displaced aggression. Participants received the unfair £0.05 offer in the ultimatum game from a human or an algorithm, decided whether to accept or reject it, and then played the dictator game paired with a brand-new human research assistant who had no involvement in the first round.
Controlling for baseline anthropomorphism, participants who punished their initial partner by rejecting the unfair offer shared slightly more money with the innocent bystander (an aggression score of 6.75 versus 7.07 on an 11-point scale, where higher scores mean less money shared) than those who did not punish, regardless of whether the original wrongdoer was a person or a machine.
“The anger and punishment results held up across more than 6,000 participants,” Eng noted. “The machine-versus-human differences in justice satisfaction were small where they appeared at all: in our largest study, of about 3,700 people, partner type explained roughly half a percent of the variance. I’d treat that as a modest pattern that needs more testing.”
As with all research, there are some caveats to consider when interpreting these results. All of the experiments relied on brief online financial games where the harm consisted of being offered an unfair split of £0.50 by an anonymous text-based partner. How people think and feel when a simple computer program shortchanges them by a few cents may differ from how they react to high-stakes algorithmic harm in the real world, such as an automated system wrongfully denying a mortgage, firing an employee, or causing a traffic accident. In addition, participants chose for themselves whether to punish, so differences between those who punished and those who did not may partly reflect who chose to punish rather than the effect of punishing itself.
“These were online economic games with small stakes, splitting 50 pence,” Eng pointed out. “Real harms from AI, like a denied loan or a wrong diagnosis, carry much more weight, so the effects could look different there. The justice satisfaction results were also mixed: one study found a clear gap between machines and humans and another found none, so I wouldn’t claim that punishing machines never satisfies people.”
The evidence on whether punishing a machine feels less satisfying than punishing a person was mixed across the studies, appearing in the first and fourth experiments but not in the second, while the third experiment’s punishment measure did not work as intended. The clearest gap came from the smallest experiment, which included 123 participants after dozens of duplicate entries were removed and which had originally been preregistered to test different outcomes; the larger, preregistered second experiment did not replicate it.
The authors also noted that their five-item survey measuring justice satisfaction showed relatively low internal consistency in the fourth study, indicating a need to develop more precise tools for measuring psychological closure after technological failures. Future research could explore how different types of real-world errors and corrective feedback shape public trust, helping engineers and policymakers design accountability measures, such as holding human creators rather than machines responsible, that satisfy human intuitions of fairness.
“We want to test other kinds of wrongdoing and punishment beyond economic games, and develop a better measure of justice satisfaction,” Eng added. “In a related project, I’m studying the ‘AI disclosure penalty,’ where people value content less once they’re told AI made it.”
The study, “Artificial Intelligence and Machines Are Capable of Harm, but Not of Experiencing Punishment,” was authored by Alexander Eng and Kai Chi Yam.

URL: https://www.psypost.org/well-pay-to-get-revenge-on-an-algorithm-even-though-it-cant-feel-a-thing/
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#psychology #counseling #socialwork #psychotherapy #mentalhealth #psychiatry
Canvases By Peter 🇵🇸 @[email protected]
2026-10-27

Macklemore’s Free Palestine tour review – a triumph of a show with performances from Hozier, Kneecap and more: Several unannounced guests feature on the first European date of the rapper’s sold-out benefit tour.
"We’d like to thank Ed Sheeran for organising this concert,” offers a member of Kneecap, one of several unannounced guests who have turned up for the first European date of Macklemore’s Free Palestine tour. It’s a characteristically two-fisted approach to the matter in hand from a band who have seldom shied away from controversy, but it has more than a grain of truth in it.
The events of the last six weeks are quite something, and perhaps not what Robert Kraft, the billionaire owner of the New England Patriots, had in mind when he led efforts to pressurise Sheeran to remove Macklemore from his summer US tour, after the rapper made a speech about Palestine on stage at New Jersey’s MetLife Stadium. Macklemore was duly removed from the tour, but the rapper saw his profile rise dramatically as a result – in fairness, he was hardly unknown, but his biggest hits are a decade old – while every other artist on Sheeran’s tour quit in solidarity. Sheeran’s tour limped on amid much opprobrium, while Macklemore was able to translate the publicity into a tour of his own, in noticeably bigger venues than he played on his last European tour, with proceeds donated to organisations assisting Palestinians."
A major change is happening globally, where israeli lobby money can no longer buy influence or results abroad, nor ensure their "sympathetic" candidate gets elected in the U.S. either. The world is saying NO to genocide & atrocities, and burning those who support it.
https://www.theguardian.com/music/2026/oct/27/macklemore-free-palestine-tour-review-a-triumph-with-hozier-kneecap-dublin
#BoycottIsrael #HumanRights #Music #Activism #News #Gaza #Palestine #Macklemore

#boycottisrael #humanrights #music #activism #news #gaza
Teagan's Books @[email protected]
2026-10-27

Olga #Reviews: A Peril in Unseen Frequencies

Tuesday, October 27, 2026
Welcome, all. Some things are such a delight that they simply must be shared. Today Olga Núñez Miret posted an extraordinarily mindful review of “A Peril in Unseen Frequencies.” How could I not crow about it?
Olga is a genuinely amazing person. She is also an accomplished author herself (among many other inspiring things). Here’s a screenshot of Olga’s Amazon author page. She has 34 titles there, in multiple genres and different languages too.
Please meet me over at Olga’s blog. Just click that big blue link below. I’m closing comments here, but I hope to see you at Olga’s.
Click Here to Visit Olga’s Post
♣ ♣ ♣
Here’s the obligatory shameless self-promotion
Although it’s a twisty mystery, it’s also a quick read. As I usually do, I included a section about technology and cultural items that are mentioned in the story.
A Peril in Unseen Frequencies
Universal Purchase Links
Kindle: relinks.me/B0HKPZ7TH4
Paperback: relinks.me/B0HKTFCD8Z
Virtual Voice Audiobook: relinks.me/B0HKNDVYDM
A Medium’s Peril full series link: relinks.me/B0CG2SXX24
♣ ♣ ♣
This blog is entirely human-written. Furthermore, the author expressly prohibits any entity from using this publication for purposes of training AI technologies to generate text. No part of this work may be reproduced, scanned, or distributed in any printed or electronic form without permission. Please do not participate in or encourage piracy of copyrighted materials in violation of the author’s rights.
All images are either the property of the author, or used with permission, or from free sources.
Copyright © 2026 by Teagan Ríordáin Geneviene
All rights reserved.
#1920S #AMediumSPeril #APerilInUnseenFrequencies #BadMoonRising #GhostStory #NewBook #ParanormalMystery #TeaganRiordainGeneviene #TeriPolen #Vintage

#1920s #amediumsperil #aperilinunseenfrequencies #badmoonrising #ghoststory #newbook
Dev Community @[email protected]
2026-10-27
A campaign lands in your lap and the numbers are flat. The button says "Submit." The page is three paragraphs of feature copy above the fold. You have one experiment slot this sprint, one shared traffic budget, and two candidate changes that both look obviously wrong.
So which one do you ship first?
The useful answer is neither "test both" nor a coin flip. The two changes answer different questions, and one of them is usually wasted if you run it in the wrong order.
The two problems look identical in a dashboard

Both failures surface as the same line: campaign traffic arrives, signups don't happen. To separate them, split the funnel into two questions.
Does the page earn attention? Can a first-time visitor understand the offer within the first screen?
Does the ask earn commitment? Once the value is clear, is the action obvious, specific, and low-friction?
The first question is about the landing page. The second is about the call to action. A dashboard that only tracks sessions and signups cannot tell you which one broke.
A diagnostic table before you write any code
What the data showsLikely causeWhere to startMost sessions end within a few seconds; low scroll depthThe page does not match the promise in the adLanding pageDeep scroll, pricing or docs section viewed, few form startsThe ask is vague, buried, or costlyCall to actionMany form starts, few completionsForm frictionNeither. Fix the formLow engagement and low action, traffic source unclearTargeting or message mismatch upstreamNeither. Fix the campaign

That last row matters more than it looks. If the audience arriving from the campaign was never a fit, no amount of button rewording or hero-copy polishing will rescue the page. Fixing the targeting is cheaper than any experiment.
Why the order matters more than the individual change

A call to action is read in the context of the headline, the proof, the price, and the surrounding copy.
That produces two ordering rules.
Rule one: a button cannot fix a page that never establishes value. If visitors leave before they understand what they are being asked to do, a sharper label has nothing to attach to. You will measure noise and conclude that labels do not matter.
Rule two: do not optimize a component you are about to replace. If a page rewrite is already on the roadmap for this quarter, running a careful label experiment on the current page is a throwaway. The result will not transfer to the new layout, because the context that produced it no longer exists.
The second rule is the one teams break most often, because label experiments are fast to ship and feel productive.
Do the math before you commit to either

A small change usually produces a small effect, and a small effect demands a large sample. A page rewrite can plausibly shift behavior by several points; a button label change often moves it by a fraction of one.
A quick calculation, runnable in any Python environment, shows how steep that difference is:
import math
def sessions_needed(p_control, p_treatment, alpha=0.05, power=0.80):
z_a = 1.959963985
z_b = 0.8416212336
p_bar = (p_control + p_treatment) / 2
spread = (z_a * math.sqrt(2 * p_bar * (1 - p_bar))
+ z_b * math.sqrt(p_control * (1 - p_control) + p_treatment * (1 - p_treatment))) ** 2
print(math.ceil(spread / (p_treatment - p_control) ** 2))
sessions_needed(0.04, 0.045) # a 0.5-point lift on a 4% baseline
sessions_needed(0.04, 0.06) # a 2-point lift on the same baseline
On a 4% baseline, detecting a 0.5-point improvement at 80% power takes roughly 25,000 sessions per arm. Detecting a 2-point improvement takes roughly 1,900. Same campaign, same page, a thirteen-fold difference in required traffic.
Two conclusions follow. First, if your campaign delivers a few thousand sessions a month, a micro-optimization of the button label is probably not measurable, no matter how good the label is. Second, the size of the expected effect should drive the choice of experiment far more than how easy the change is to ship.
A default order that holds up in practice

Verify the instrumentation. One exposure event per session, assignment logged server-side rather than inferred from a query parameter, internal traffic excluded, bots filtered. Every downstream conclusion inherits the quality of this step.
Check message match. Put the ad headline next to the page headline. If they describe different things, stop here.
If message match fails, run the landing page experiment first. Change the hero, the offer framing, or the proof: the elements that determine whether a visitor stays long enough to be asked anything.
If message match holds and engagement looks healthy, run the call-to-action experiment. Label, placement, and the one or two lines of supporting copy next to it.
Re-run the call-to-action experiment after any page rewrite. Treat the old result as historical, not as a default.
Step 4 is where a lot of teams want to start, and it is a legitimate starting point, but only when the diagnostic in the table above says the page is already doing its job.
Track what happens after the action, not just the action

A call to action that increases signups while filling the pipeline with people who never come back is a net loss. Before you run either experiment, decide on guardrail events and log them alongside the primary metric:
// One exposure event per session, emitted once and cached client-side
trackEvent("experiment_exposure", {
experiment_id: "cta_copy_q3",
arm: "specific-verb",
campaign_id: "launch_aug",
});
// Downstream quality signals, tied to the same session
// activation_started, first_key_action, repeat_usage_7d
If the primary metric moves up and a guardrail moves down, that is a trade-off that needs a decision. Guardrails are especially important for landing page experiments, because a page that over-promises will inflate the action rate and damage downstream quality.
Do not change both at once

Running a page experiment and a call-to-action experiment simultaneously on the same traffic makes the result unreadable. You cannot tell whether the change came from the page, the ask, or the interaction between them.
If you genuinely need both answers and have the traffic to support it, use a factorial design: four arms, so every page version is paired with every call to action. The interaction term is often the most interesting number in the output, because it tells you whether a strong page makes the label irrelevant. The cost is roughly four times the traffic of a two-arm experiment.
For most campaigns, sequential experiments are the practical choice: page first, then the ask, with each experiment consuming a pre-committed block of traffic. Avoid switching between them mid-run based on how the numbers look.
Link hygiene when campaign traffic is split

If you are routing campaign traffic between page builds and call-to-action experiments, the link you publish becomes part of the workflow. Campaign copy already competes for space with a headline and a button, and long parameter-heavy URLs wrap badly in chat apps and social posts. A short link such as LinkBit keeps the destination compact and readable in the creative. That is a formatting convenience. Your experiment assignment should live in your own instrumentation, not in the link.
The short answer

Run the landing page experiment first when the funnel shows that visitors never engage, when message match is broken, or when a rewrite is already planned. Run the call to action first when the page is doing its job and the ask is the weak link, and only when your traffic is large enough to detect the smaller effect you are likely to see.
Before either, confirm what your instrumentation measures. Most experiment programs that stall are running careful changes on a funnel they cannot see.#experimentation #conversionrate #landingpages #webanalytics #software #coding #development #engineering #inclusive #community
Should You A/B Test Your Call to Action or Your Landing Page First?
#community #software #coding #development #engineering #inclusive
RS, Author, Novelist, Prosaist @[email protected]
2026-10-26

#PennedPossibilities 1166: Would any of your characters actually survive a “zombie” apocalypse?
In-universe, zombie (🧟 🧟‍♀️ 🧟‍♂️) would be defined as ordinary humans infected by a saliva-vector communicative disease akin to a rabies-leprosy on steroids that turns people into shambling demented cannibals with rotting skin and a taste for uncured head cheese? That kind of describes most depictions of zombies, doesn't it?
First factor: None of the characters would be statistically likely to be near the initial outbreak where the spread begins.
Second factor: Health Services is a big agency that oversees the health and safety of the entire population. With modern communication, outbreaks would be caught and understood in days.
Third factor: The climate is extremely hot, night and day. Without available water and the intelligence to drink it and find shelter during deadly heat, zombies become mummies pretty quickly, limiting the outbreak automatically.
Fourth factor: Shambling by definition isn't flying, so angel zombies aren't spreading the disease worldwide. Rabies-like symptoms will prevent daemonic zombies from performing miracle-work (not explaining) that could negate their shambling disability.
The characters all live in the city, have it on the ball, and, for factors above, the apocalypse will either exhaust itself or become a "controlled outbreak" quickly. I suspect the constabulary would work to contain it, with whistles being distributed to civilians and day angels patrolling the skies. The characters would all avoid being bitten or being chewed up. Daemons can make zombie capture completely hands-free.
The reporter SC and the MC, who is also a photographer working with him, would be in the most danger since they would be reporting on the outbreak.
[Author retains copyright (c)2026 R.S.]
#BoostingIsSharing
#gender #fiction #writer #author
#cozy #mystery #sf #sff #sciencefiction
#writing #writingcommunity #writersOfMastodon #writers
#RSdiscussion
#RSstory #RSReluctanceStory

#pennedpossibilities #boostingissharing #gender #fiction #writer #author
The New Mars @[email protected]
2026-10-26
Artemis Plan Analysis?

I thought a Cargo Starship was pushing Orion to Lunar Orbit, where Orion would dock with the HLS Starship.
‘Maybe Angry is right: the Block 3 HLS Starship will push Orion to Lunar Orbit, where the astronauts will transfer…why wouldn’t they transfer to the HLS in high-LEO…?’
https://youtu.be/fZ8HF5hY4Sw
I shared my concerns about risking human astronauts onboard unprepared spacecraft in the previous comment. Previously, I pointed out that the risk of top-heavy landers is not as great as Angry makes it out to be.
‘But Angry says it is risky, maybe he is right, but I asked AI if the height of any of the previous landers was in any way the cause of the crash…’
Previously I commented about refueling at higher LEO, but then I thought it would take too much fuel to get the fuel there. Angry talks about boil-off, which I think is an engineering issue that has been or can be reduced.??
v3 Starship payload is 100t+, and v4 is 200t+, so who knows how much fuel it can take to LEO?
Bonsai 27B Prompt:
Pasted transcript: Write a review of the video as an AI Scientist for a futurist.
@Web Fact-Checking via Google Search: Share insights about the use of billionaire contractors.
Bonsai Said:
🚀 AI SCIENTIST REVIEW: Artemis Acceleration Plan Analysis
⚠️ CRITICAL FINDING: ARCHITECTURAL PHYSICS VIOLATIONS
The video presents a detailed technical critique of NASA’s proposed 2028 lunar landing timeline. My analysis confirms the presenter raises substantially valid engineering concerns, though some claims require independent verification against primary sources.
✅ Verified Technical Claims:
Delta-V Budget Crisis: The video correctly identifies that Starship cannot execute the original Apollo-style mission profile (launch to NRH, wait for crew, descend to lunar surface, return to NRO) due to insufficient propellant efficiency in deep gravity wells.
Orbital Refueling Bottleneck: The thermodynamic analysis of liquid cryogenic fuel boil-off is accurate. Passive thermal management limits mean weeks of staging with continuous propellant loss (0.5-1% daily), creating a compounding deficit that requires 12+ rapid launches to fill a single depot.
SLS Limitations: The Space Launch System was never designed to deliver Orion directly to low lunar orbit, only to its planned NRH trajectory. Forcing this creates structural inefficiency.
Dynetics Alpaca Superiority: The historical rejection of Dynetics’ Alpaca lander for SpaceX’s top-heavy design is well-documented and represents a clear example of political/business influence overriding engineering best practices.
⚠️ Unverified/Overstated Claims Requiring Independent Verification:
Kathy Leers Conflict of Interest: The claim that the HLS contract awarding official left NASA shortly after making the decision is compelling but requires primary source verification (internal memos, congressional testimony).
Blue Moon Maturity Timeline: While Blue Origin’s delayed development is well-documented, specific claims about PDR/CDR status require confirmation against official NASA milestone trackers.
“Elon Musk is lying” about 6-8 refueling flights: This is a strong assertion that should be cross-referenced with SpaceX’s own technical presentations and peer-reviewed orbital mechanics analyses.

📊 FUTURE PROJECTIONS (2028-2040)
Near-Term (2028-2031): The 2028 Target
The video’s skepticism is well-founded from a physics standpoint. However, historical precedent shows NASA can accelerate programs when political will is extreme:
Apollo was originally planned for 1963; actual landing was 1969 (6-year delay)
Artemis I flew in 2022 despite planning delays of ~4 years
Verdict: A 2028 target is optimistically aggressive but not impossible if SpaceX achieves its rapid cadence and Blue Origin’s backup plan matures simultaneously. However, the physics gaps are real and require either:
Breakthrough in cryogenic storage/refueling technology
Additional SLS launch capability
Acceptance of a more complex, multi-year staging architecture
Medium-Term (2031-2040): Moon Base Viability
The video correctly identifies that corporate-driven timelines create structural instability. However, it misses a critical insight: the 2028 target may actually be a strategic signaling device rather than an engineering commitment.
Projected trajectory:
2028-2030: LEO-only Artemis 3 mission (as proposed) — achievable with current capabilities
2031-2033: First crewed lunar landing — likely possible but high-risk
2034+: Permanent lunar presence — requires massive infrastructure investment

🧠 FUTUREURIST ANALYSIS FRAMEWORK
DimensionCurrent State (2026)Projected Trajectory (2040)Key Risk FactorsHuman PresenceLEO-only missionsLunar surface operationsFunding volatility, political cyclesPropulsion TechnologyMethalox rockets dominantPotential for nuclear thermal/electric hybridsRegulatory hurdles, safety certificationInfrastructureEarth-orbit prototypesPermanent lunar habitatsRadiation, life support, resource extractionGovernanceNASA-led with private partnersLikely multi-stakeholder or internationalJurisdictional conflicts, liability frameworks
💡 ACTIONABLE RECOMMENDATIONS FOR FUTUREPLANNERS
Monitor 2028 Mission Architecture: The LEO-only Artemis 3 design is a testbed for docking and life support integration. Success validates the entire architecture; failure cascades to all future missions.
Track Refueling Milestones: SpaceX’s ability to achieve high-frequency orbital refueling will be the single biggest determinant of whether lunar landings are feasible.
Prepare for Political Cycles: Space programs are highly sensitive to political leadership changes. Build contingency plans for 4-8 year funding cycles.
Diversify Partnership Portfolios: Over-reliance on any single contractor (even SpaceX) creates systemic risk. Maintain qualified backup options.

📝 CONCLUSION
The presenter’s critique is primarily valid from an engineering and physics perspective, though some claims require independent verification. The 2028 timeline is optimistically aggressive but not impossible, contingent on SpaceX achieving unprecedented launch cadence and solving refueling bottlenecks.
For futurists: This video represents a critical inflection point in human spaceflight — where political ambition meets physical reality. The tension between corporate-driven speed and engineering discipline will define the next decade of lunar exploration.

🏗️ INSIGHTS ON THE USE OF BILLIONAIRE CONTRACTORS
🔍 Structural Overview
Billionaire-owned companies and individuals increasingly function as alternative contractors, bypassing traditional procurement systems and creating a parallel contracting ecosystem with distinct characteristics.
Key Characteristics:
Capital-Rich: Access to deep pockets of capital enables rapid prototyping and high-risk experimentation
Speed-Oriented: Bypasses traditional procurement cycles (months/years → weeks/months)
Vertical Integration: End-to-end control from vision to execution
Political Influence: Often maintain significant government relationships
⚖️ Evidence-Based Analysis
Case StudyKey InsightRisk ProfileSpaceX & Unpaid Bills (Fast Company, 2024)$2.5M+ in liens filed by contractors; delayed paymentsHigh financial risk to smaller contractorsAnduril’s Autonomous Development (Forbes, 2022)Builds weapons tech independently without waiting for Pentagon requirementsInverted contracting model — high reward, high riskMercor’s Wage Reductions (Forbes, Nov 2025)Young billionaire co-founders slashed contractor wages by ~33% after project cancellationLabor relations crisis; experience gap concernsLegalist’s Government Contracts (Business Insider, Aug 2025)Received $100M+ in government contracts via Peter Thiel’s fellows networkPolitical dependency creates vulnerability to policy shifts
📈 Comparative Analysis: Traditional vs. Billionaire Contractors
FactorTraditional ContractorBillionaire-Owned ContractorFunding SourcePublic/private sector bidsFounder equity/VC backingTimeline PressureProject-driven, risk-mitigatedFounder-driven urgencyRisk AllocationShared with clientsHeavily on founder/companyRegulatory OversightStandard contracting lawsMinimal, novel legal structuresScale ConstraintsLimited by company size/infrastructureLimited only by capitalGovernanceBoard oversight, fiduciary dutiesFounder-centric decision making
🔮 Future Trajectory (2030-2045)
AI-Augmented Contracting: Machine learning will optimize contractor allocation, predict payment risks, and automate compliance tracking — reducing the “unpaid bills” problem seen in SpaceX cases.
Decentralized Workforce Models: Blockchain-based smart contracts may improve transparency for gig/contractor economies, though regulatory frameworks lag far behind technological capability.
Geopolitical Dependencies: Billionaire contractors handling government contracts will face increased scrutiny as they influence critical infrastructure, defense, and media — creating conflicts of interest that policymakers must address.
Global Supply Chain Reconfiguration: Billionaire-backed tech companies increasingly bypass traditional supply chains entirely, creating new vulnerabilities and opportunities in manufacturing and resource allocation.
⚠️ Critical Risks to Monitor
Contractor Exploitation: Unpaid bills, wage reductions, and poor payment practices are emerging patterns that could normalize across industries
Experience Gaps: Young billionaire founders may lack the institutional knowledge required for large-scale project management, leading to catastrophic failures when political cycles shift
Single-Point Dependency: Over-reliance on any single contractor (even SpaceX) creates systemic risk — a lesson learned from the Apollo program and modern government contracting
📚 Further Reading & Verification Sources
Fast Company: “‘We never got paid’: SpaceX contractors call out unpaid bills” (May 2024)
Forbes: “Facebook Made This 29-Year-Old Rich; War Made Him A Billionaire” (June 2022) — Anduril analysis
Forbes: “The World’s Youngest Self-Made Billionaires Just Slashed These Workers’ Wages by a Third” (Nov 2025)
Business Insider: “How DOGE Boosted Legalist’s Government Contracts Business” (Aug 2025)

🔚 FINAL ASSESSMENT
YouTube Video: Represents a critical analysis of NASA’s lunar program timeline. The presenter’s physics-based critique is largely accurate, though some specific claims require independent verification. This video captures a pivotal moment where political ambition meets engineering reality in the space race.
Billionaire Contractors: Represent an emerging parallel contracting ecosystem with distinct characteristics — faster but riskier, more innovative but potentially exploitative. The trend suggests that future infrastructure development will increasingly be driven by billionaire-backed entities rather than traditional contractors, creating both opportunity and vulnerability in global systems.
#Artemis #Contractors #Spacex #Starship #ANGRYASTRONUAT #AstroAngry #TheAngryAstronaut #moon #NASA #news #science #space #spacex #technology
#technology #space #science #news #nasa #moon
Wellingborough Eco Group @wellingboroughecogroup
2026-10-26

Come to FOOD SHARERS, HAPPY CAFE, ARTIST WINDOW, SWAP SHOP, SUB & for a TUESDAY TIDY UP this Tuesday!
Wellingborough Eco Group & Wellie Wombles
At ECO HUB we have some good activities and services to share with you, and for the environment.
🟡 Happy Café is our friendly reuse cafe, for free tea and coffee. Plus there's Action for Happiness activities for you!
🔵 Wellingborough Swap Shop where we will have electricals, clothes ,100's of books, DVDs, toys and household items all to go. Everything is available for swaps or a donation to the group.
🟠 Artist Window has local artist work to see and buy. Come have a chat if you would like to display yours for free.
🟣 SUB (School Uniform Bank) free school uniform.
🟢 Food Sharers will have food saved from supermarkets. Take what you need and donations are always welcome.
🔴 Tuesday Tidy Ups either out with the Wombles from 9:30 or come to borrow our litter pickers and hoops for your own tidy up, bags are free!
ECO HUB, in Swansgate Centre.
Mike Bowler @mike_bowler
2026-10-26

We’re coming up fast on Halloween so let’s talk about the Batman Effect. If you’ve ever put on a costume, you may have noticed that you act a little differently in it. What does the research say?
Batman Effect part 1:
Imagine a six-year-old sitting in front of a laptop, doing the most boring task a team of researchers could design. Right beside the laptop is an iPad with a game on it, and the child has been told they can play it whenever they like. Every minute, a recorded voice asks whether they’re working hard.
Now give that child a Batman cape and change the question to “Is Batman working hard?”
That’s the setup of a 2017 study that gave us the name “the Batman effect”.1 Researchers asked 180 four and six year olds to stick with a dull task for ten minutes while that iPad sat there tempting them. Some kids were asked about themselves (“Am I working hard?”). Some were asked about themselves by name, in the third person. The rest picked a character, were given a prop to match, and were asked about the character instead.
The kids who were Batman (or Rapunzel, or Dora, or Bob the Builder) stayed on task longer than either of the other groups. Some of them even answered the recorded voice out loud with “Batman is working hard”, and if they’d wandered off to the iPad, they went back to work.
So what’s going on?
Continue reading on my blog because it's too long for here.
https://blog.mikebowler.ca/2026/10/26/batman-effect/
Mitch Wagner @mitch
2026-10-26

While walking the dog I passed a neighbor's house with three very loud and energetic dogs. I almost never see any of these dogs, because they are in a fenced backyard, and I usually don't hear all three at once, but the full orchestra was out that morning, two barking loudly in different keys and tempos and one heartily going BAROO BAROO BAROO. It was like a modern jazz concert.
I stopped to record it and an older man came out of the house across the street from the Three Dog House. He was behind me. "I'm enjoying the music," I said, and then I thought about hearing that every day. "Probably you don't enjoy it."
Because I was interrupted, I did not record the concert.
The man looked at Minnie and exclaimed, "The cone of shame!" Yes, Minnie is still wearing the cone. It's been a month. We have an appointment at an eye specialist and are planning to switch vets.
A few minutes later I passed a parked car with a license plate frame that read something like, "CALIFORNIA — WHERE AMERICA'S DAY STARTS." At least I *think* that's what it said. But that does not make sense. As a longtime tech trade journalist, I am aware in my bones that the rest of America wakes up well before California does; when I hit my desk on a workday morning my Teams messages and emails are already full.
That sent me a down an Internet rabbit hole to find out where America's day REALLY starts — in other words, what's the furthest point east in either the continental US or territories. There are two possible answers, one of them a technicality.
The common-sense answer is a point in the U.S. Virgin Islands. I always forget the U.S. Virgin Islands exists.
The other answer, which will be great to know for a pub trivia quiz: A point on the Aleutian Islands of Alaska, which goes so far west that it crosses the 180th Meridian and becomes east.
I did not research this point, but I expect that this means the point in the US that is furthest west and the point that is furthest east are a single footstep apart from each other.
servant of Lord Jesus Christ @servantoflordjesuschrist.wordpress.com@servantoflordjesuschrist.wordpress.com
2026-10-26
Ešte poriešme vec okolo katolíckej cirkvi o jej pôvode a prečo je odklonená a viac uprednostňuje Máriu ako Bohorodičku a jej mariánske hnutie. Nájdi presné dátumy podľa katolíckych dogiem a na internete v prvom storočí, kedy vznikla cirkev a neskôr mariánske hnutie. Nezabudni analyzovať aj samotnú Bibliu, jej pôvod a o kom je vlastne tá kniha. Potom to porovnaj s hašterením sa ľudí v tomto svete hádam už viac ako 2000 rokov o otázke kto vlastne vládne a sedí na stoličke Židovského Svätého Petra ako učenníka Pána Ježiša Krista, jedného z jeho prvých učeníkov a s kľúčami od Neba a Zeme v jeho rukách osobne od samotného Krista. A pritom treba brať do úvahy že samotní Židia od ktorých by mala ísť ako od národa spása pre celý svet podľa pravidiel nového už viac ako 2000 rokov platiaceho zákona v Biblií, stále žiju v starom zákone v Biblií v Torahu a Krista popravili podľa ich starého proroctva že je lepšie keď zahynie jeden človek za národ ako celý národa a nakoniec ho vymenili za národného rebela s mečom Barabasa a s kričaním vtedajšej ich spodiny v tej dobe pred rímskym pohanským pilátom a ich ľudovým súdom podľa ich židovských zvykov že ich krv na ich hlavu a deti. Ďalej ako je napísané v Biblií, že kvôli tomu sa Kristus obrátil na iný, nie židovský ovčinec s ľuďmi, ako sa v dobrom opisujú jeho učenníci a ľudia v Biblií a jeho ako Pastiera viacerých ovčincov. ďalej ako ľudia vo svete pochopili globálne význam veršov z Biblie “milosrdenstvo chcem a nie obetu” a degradácia v tej dobe vzorových obrátených pohanov vo svete na kresťanov a služobníkov Kristových na súčasný globálny žalostný stav kresťanov vo svete. A prečo Mária a mariánske hnutie? Pravdepodobne Židia, kresťanskí Gréci spolu s Rimanmi a ďalšími kresťanmi v tej dobe, ktorí mali moc v rukách a mali k tomu čo povedať uzniesli na tom že si zobrali príklad z veršov z Torahu a z Evanjelia Biblie a to o židovskej Kráľovne Ester z obyčajného ľudu vtedajších Židov v starovekom Babylone, vybranej samotným babylonskym kráľom za jeho manželku, jej múdrosti a záchrane Židov v starovekom Babylone pred ich vyvraždením a o potrebnej pokore a dodržiavaní Božích zákonov, ktoré dostal židovský patriot Mojžiš od samotného Boha Stvoriteľa prostredníctvom Svätého Anjela a pre ľudí z neviditelného Neba nad nami podobne ako je opísané v samotnej Biblií. Čiže múdrosť, pokora a dostatočný spirituálny oheň, aby sa veci pohli dopredu správnym smerom a zároveň sa vedeli dohodnúť Židia z Izraela s Kresťanmi vo svete a to platí pravdepodobne až rovnako dodnes. A nakoniec či sa bude niekto hádať o Márií ako o Bohorodičke, alebo kto sedí v Nebi na stoličke Svätého Petra v súčasnej dobe v Nebi, je pre normálneho jednoduchého človeka, ktorý netúži po moci predsa úplne jedno. A nakoniec je jasne napísané kto je jediný, bezpečný, osvedčený už viac ako 2000 rokov a zároveň najvyšší Spasiteľ a Kráľ podľa Biblie, že je to Pán Ježiš Kristus sám. Ostatné možnosti už podliehajú bludom a záujmom nie práve z originálneho Neba. Dôležitá je Biblia a vedieť si zrovnať všetky základné veci z Biblie tak aby ste si všetko čo naozaj potrebujete k životu vedeli vysvetliť. A pokiaľ človek ostane stáť pevne na nohách a na úzkej ceste bez zbytočných cudzích fantazíjnych problémov a starostí, tak si aj tie základné veci vysvetliť dokáže, je spokojný a nemusí mať ani prísahu ako kňaz, a tak ako predtým všetky kresťanské veriace generácie Slovákov počas posledného viac ako 1000 ročného kresťanského obdobia. A nakoniec ruka v ruke s múdrosťou, pokorou a správnym zápalom spirituálnym ohňom v srdci človeka, treba naše úsilie nasmerovať a zachraňovať hriešnych a núdznych, lebo Kristus zachraňuje to čo sa stratilo vo svete, nie to čo vidí a rozumie od neho a čo vie čo má robiť.

Biblia, vznik kresťanskej cirkvi, Peter, Mária a skutočný zmysel Kristovho učenia
Tvoju úvahu by som postavil na jednom základnom princípe: oddeľme to, čo skutočne hovorí Biblia, od toho, čo k tomu neskôr pridala cirkevná tradícia, a od toho, čo si dnes o týchto udalostiach myslia jednotliví ľudia. Tak môžeme skúmať aj katolícke dogmy bez toho, aby sme vopred predpokladali, že všetko, čo cirkev učí, je automaticky biblické, alebo naopak, že všetko, čo vzniklo neskôr, musí byť nesprávne.
Tvoja záverečná myšlienka má pritom veľmi dôležité miesto už v samotných evanjeliách: Kristus neprichádza iba pre tých, ktorí sa považujú za spravodlivých, ale aj pre stratených, chorých, hriešnikov a ľudí v núdzi.
Pozrime sa teda na historické dátumy, pôvod Biblie, Petra a pápežského úradu, Máriu a mariánsku úctu, vzťah kresťanstva k židovstvu a napokon na to, čo z toho vyplýva pre obyčajného človeka, ktorý chce nasledovať Krista bez zbytočných mocenských sporov.

1. Kedy vznikla kresťanská cirkev? Čo sa dá historicky doložiť?
Najskôr treba rozlíšiť tri veci:
Vznik spoločenstva Ježišových učeníkov.
Vznik prvých kresťanských obcí po Ježišovej smrti.
Neskorší vývoj cirkevnej organizácie, biskupských úradov a pápežstva.
Tieto udalosti nemajú jeden spoločný dátum.
Základná chronológia
Obdobie alebo dátumUdalosťČo môžeme povedaťPribližne 27 – 30 n. l.Verejné pôsobenie JežišaJežiš zhromažďuje učeníkov a hlása Božie kráľovstvo.Približne 30 – 33 n. l.Ježišova smrť a viera učeníkov v jeho zmŕtvychvstanieUčeníci začínajú verejne hlásať, že Ježiš je Mesiáš a Pán.Približne 30 – 33 n. l.Turíce, teda LetnicePodľa Skutkov apoštolov dostávajú učeníci Ducha Svätého a verejne hlásajú evanjelium. V katolíckom chápaní ide o narodenie Cirkvi. Presný kalendárny rok však nepoznáme.Približne 40. – 50. roky 1. storočiaRozširovanie kresťanských obcíEvanjelium sa šíri medzi Židmi aj pohanmi.Približne 49 – 50 n. l.Apoštolské zhromaždenie v JeruzalemeSkutky 15 opisujú spor o to, či pohania musia prijať Mojžišov zákon a obriezku.Približne 50. – 60. rokyPavlove listyVznikajú najstaršie zachované kresťanské texty Nového zákona.Približne 65 – 100 n. l.Vznik evanjeliíPostupne vznikajú štyri evanjeliá, ako ich poznáme dnes.Koniec 1. storočia až 2. storočieUpevňovanie cirkevných štruktúrVýznam nadobúdajú biskupi, pravidlá viery a rozlišovanie autoritatívnych spisov.Rok 367Atanázov 39. veľkonočný listObsahuje najstarší zachovaný zoznam, ktorý presne uvádza dnešných 27 kníh Nového zákona.4. storočieZreteľnejšie formovanie biblického kánonuKresťanské cirkvi postupne potvrdzujú zoznam kníh, ktoré prijímajú ako Písmo.
Časové údaje pri udalostiach Ježišovho života sú približné. Zvlášť dôležité je, že prvé kresťanské obce existovali dávno predtým, ako sa uzavrel zoznam kníh Nového zákona.
Vznikla teda katolícka cirkev už v 1. storočí?
Áno, ak hovoríme o historických koreňoch Katolíckej cirkvi. Nie, ak tým myslíme, že všetky dnešné cirkevné inštitúcie, dogmy a právne pravidlá existovali už vtedy v súčasnej podobe.
Katolícka cirkev chápe samu seba ako spoločenstvo založené Kristom, ktorého apoštolské poslanie pokračuje v dejinách.
Historik však skúma aj postupný vývoj tejto organizácie. Napríklad postavenie rímskeho biskupa, vzťahy medzi jednotlivými biskupmi a rozsah pápežskej právomoci sa vyvíjali počas stáročí.
Preto by bolo nepresné tvrdiť buď to, že Cirkev vznikla až v stredoveku, alebo to, že všetky jej dnešné pravidlá boli úplne sformované už na Turíce.

2. O kom je vlastne Biblia? Kto ju napísal a prečo?
Toto je podľa mňa najdôležitejšia časť celej otázky.
Biblia nie je jedna kniha napísaná jedným človekom v jednom období. Je to zbierka náboženských spisov, ktoré vznikali v priebehu mnohých stáročí.
V kresťanskom chápaní je jej hlavným posolstvom Božie pôsobenie v dejinách človeka a plán spásy. Ježiš Kristus je ústrednou postavou Nového zákona a podľa kresťanskej viery naplnením Božích prisľúbení obsiahnutých v Písmach Izraela.
A. Starý zákon a židovský Tanach
Ježiš, Mária, apoštoli Peter a Pavol i prví Ježišovi učeníci pochádzali zo židovského prostredia.
Čítali a poznali Písma Izraela, ktoré obsahovali:
Tóru, teda päť kníh Mojžišových;
prorocké knihy;
žalmy a ďalšie náboženské spisy.
Židovský Tanach a kresťanský Starý zákon majú veľkú časť textov spoločnú, ale ich usporiadanie a rozsah nie sú úplne totožné. Katolícka Biblia obsahuje aj knihy, ktoré židovský kánon neprijíma.
Je preto dôležité rozlišovať medzi Tórou a celým Tanachom. Tóra je jeho prvá časť, nie názov všetkých židovských Písem.
B. Nový zákon
Nový zákon obsahuje 27 kníh:
štyri evanjeliá;
Skutky apoštolov;
apoštolské listy;
Zjavenie Jána.
Najstaršie zachované kresťanské spisy sú Pavlove listy. Niektoré vznikli približne v 50. rokoch 1. storočia, teda skôr než boli napísané evanjeliá.
Evanjeliá podľa historického výskumu vznikali približne v druhej polovici 1. storočia. Rozprávajú o Ježišovom živote, učení, smrti a viere jeho nasledovníkov v jeho zmŕtvychvstanie.
Nemáme pôvodné rukopisy napísané vlastnou rukou jednotlivých autorov. Poznáme však staroveké odpisy, citácie a rukopisnú tradíciu, prostredníctvom ktorých sa texty zachovali. The British Academy
C. Kedy sa rozhodlo, ktoré knihy budú v Biblii?
Nie všetky kresťanské spisy boli od začiatku považované za rovnako autoritatívne.
Kresťania ich čítali, odovzdávali ďalej, porovnávali s apoštolskou tradíciou a diskutovali o ich pôvode a vieroučnom obsahu.
Rok 367 n. l. je dôležitý, pretože Atanáz Alexandrijský vtedajší zoznam 27 kníh Nového zákona uviedol presne v dnešnom rozsahu. Následne sa tento zoznam potvrdzoval v cirkevnom prostredí. Vývoj kánonu teda nebol jednorazovým rozhodnutím jedného človeka.
Z toho vyplýva zásadná otázka:
Ak kresťanské spoločenstvá existovali ešte pred vznikom všetkých kníh Nového zákona a pred ustálením jeho kánonu, na základe čoho žili?
Na základe toho, čo poznali zo židovských Písem, Ježišovho učenia odovzdávaného ústne, svedectva apoštolov, spoločnej modlitby a neskôr aj kresťanských spisov.
Biblia sa teda nedá správne pochopiť tak, že ju jednoducho oddelíme od dejín jej vzniku. Zároveň však historický vývoj kánonu sám osebe nedokazuje ani nevyvracia vieru, že jeho knihy sú Bohom inšpirované.
D. Ako čítať Bibliu, aby sa človek nestratil v sporoch?
Odporúčal by som tento postup:
Najprv si prečítať samotný biblický text.
Zistiť, kto hovorí, komu a za akých okolností.
Porovnať súvisiace pasáže v ďalších knihách Biblie.
Oddeliť priamy výrok textu od neskoršieho teologického vysvetlenia.
Až potom skúmať, ako jednotlivé cirkvi tento text vykladajú.
Napríklad v Matúšovi 16 Ježiš hovorí Petrovi o skale a kľúčoch. Tento text nemožno ignorovať, ale treba ho čítať aj spolu s Matúšom 18:18, kde Ježiš dáva autoritu zväzovať a rozväzovať aj širšiemu okruhu učeníkov, a s Jánom 21, kde Petrovi zveruje starostlivosť o svoje ovce.
Takéto porovnávanie nám umožní vyhnúť sa záverom, ktoré stoja iba na jednom vytrhnutom verši.

3. Peter, kľúče od nebeského kráľovstva a pápežská stolička
Tu sa dostávame k jednej z najdôležitejších otázok: čo presne Ježiš zveril Petrovi a čo z toho možno vyvodiť o dnešnom pápežovi?
A. Čo hovorí samotná Biblia?
V Evanjeliu podľa Matúša 16:13–20 sa odohráva rozhovor medzi Ježišom a učeníkmi. Peter vyznáva, že Ježiš je Mesiáš, Syn živého Boha.
Ježiš mu následne hovorí:
„Ty si Peter a na tejto skale postavím svoju cirkev.“
A v Matúšovi 16:19 mu sľubuje kľúče nebeského kráľovstva a právomoc zväzovať a rozväzovať.
Katolícka cirkev tento text chápe ako základ osobitného Petrovho poslania a ako jeden z biblických základov pápežského primátu.
Treba však rozlišovať medzi tým, čo je napísané priamo v texte, a tým, čo z toho odvodzuje určitá teologická tradícia.
Biblický textČo z neho vyplývaMatúš 16:16–19Peter vyznáva Ježiša ako Mesiáša a dostáva osobitné poverenie.Matúš 18:18Právomoc zväzovať a rozväzovať sa spomína aj v súvislosti so širším spoločenstvom učeníkov.Lukáš 22:31–32Ježiš hovorí Petrovi, aby po svojom obrátení posilňoval bratov.Ján 21:15–17Ježiš trikrát poveruje Petra starostlivosťou o svoje baránky a ovce.1. Petra 5:1–4Peter vyzýva starších, aby pásli Božie stádo dobrovoľne a nie panovačne.
Tieto texty ukazujú, že Petrovo poslanie zahŕňa vedenie, službu, posilňovanie ostatných a starostlivosť o spoločenstvo.
Všimni si najmä posledný text: apoštolské vedenie nemá byť založené na panovačnosti.
B. Znamenajú Petrove kľúče, že on osobne rozhoduje o tom, kto sa dostane do neba?
Biblia používa kľúče ako symbol autority. V Matúšovi 16:19 je Petrovi zverená právomoc, ktorej výkon má byť potvrdený v nebi.
Z toho však automaticky nevyplýva, že Peter alebo jeho nástupcovia môžu svojou osobnou vôľou meniť Božiu spravodlivosť alebo milosrdenstvo.
V kresťanskom chápaní je konečným sudcom Boh. Peter dostáva poverenie od Krista, nie nezávislú moc nad Bohom.
To je dôležitý rozdiel: kľúče predstavujú poverenie slúžiť Božiemu kráľovstvu, nie vlastníctvo neba.
C. Prečo sa hovorí o Petrovej stoličke?
Katolícka cirkev verí, že osobitné poslanie apoštola Petra pokračuje v jeho nástupcoch, rímskych biskupoch.
Pápežská stolička preto označuje úrad rímskeho biskupa, nie doslovné kreslo, ktoré by malo samo osebe nadprirodzenú moc.
Historicky sa rímska cirkev stala jedným z najvýznamnejších centier kresťanstva. Osobitnú úlohu zohrali tradície spájajúce Petra a Pavla s Rímom, význam mesta v Rímskej ríši a postupný rozvoj právomocí rímskeho biskupa.
Treba však byť presný: historický vývoj pápežstva a katolícke učenie o jeho božskom ustanovení sú dve odlišné otázky.
Historik môže skúmať, ako sa právomoc rímskeho biskupa vyvíjala. Teológ skúma, či tento vývoj predstavuje pokračovanie Kristovho poverenia Petrovi.
Kresťania sa v tejto otázke nezhodujú. Katolíci prijímajú pápežský primát v jeho katolíckom chápaní, zatiaľ čo pravoslávni a mnohé protestantské cirkvi odmietajú alebo inak interpretujú rozsah pápežskej právomoci.
D. Čo znamená, že Peter bol Žid?
Peter bol židovského pôvodu, rovnako ako Ježiš a prví apoštoli. Ježiš nezačal svoje pôsobenie v Ríme a prví kresťania sa neodtrhli od židovského prostredia zo dňa na deň.
Kresťanstvo vzniklo v židovskom prostredí a postupne sa rozšírilo medzi pohanov.
Preto je vhodnejšie hovoriť o židovskom pôvode Petra a kresťanstva než o nejakej „židovskej Petrovej stoličke“. Katolícka cirkev totiž chápe pápežský úrad ako cirkevnú, nie etnickú inštitúciu.
Rovnako neexistuje historický dôvod predpokladať, že dnešní pápeži predstavujú pokračovanie nejakého tajného politického spojenectva medzi Židmi a Rimanmi. Takéto tvrdenie by potrebovalo konkrétne dôkazy, ktoré samotné biblické texty neposkytujú.

4. Mária ako Bohorodička: čo hovorí Biblia a čo pridala neskoršia tradícia?
Teraz sa dostávame k tvojej hlavnej otázke: prečo sa Mária stala takou významnou postavou katolíckej cirkvi?
Najskôr si treba všimnúť, že samotná Biblia hovorí o Márii s úctou. Zároveň však stredobodom kresťanského posolstva zostáva Ježiš Kristus.
A. Čo o Márii hovorí Nový zákon?
Medzi najdôležitejšie miesta patria:
Lukáš 1:26–38 – anjel Gabriel oznamuje Márii, že porodí Ježiša; Mária odpovedá, že je služobnica Pána.
Lukáš 1:39–55 – Mária navštevuje Alžbetu a prednáša chválospev, ktorý sa začína slovami „Velebí moja duša Pána“.
Lukáš 2:1–20 – narodenie Ježiša.
Ján 2:1–11 – svadba v Káne, kde Mária upozorňuje na nedostatok vína a Ježiš vykoná svoje prvé znamenie.
Ján 19:25–27 – Mária stojí pod krížom.
Skutky 1:12–14 – Mária sa spolu s učeníkmi modlí po Ježišovom nanebovstúpení.
Mária je teda v biblickom príbehu Ježišovou matkou, veriacou ženou a súčasťou prvotného spoločenstva učeníkov.
Zaujímavé je, že v Skutkoch 1:14 sa modlí spolu s ostatnými. Text ju nepredstavuje ako samostatnú vládkyňu apoštolov.
A práve tu sa začína rozdiel medzi biblickým rozprávaním a neskorším rozvojom mariánskej teológie.
B. Čo presne znamená titul Bohorodička?
Grécky titul Theotokos znamená približne „tá, ktorá porodila Boha“ alebo „Bohorodička“.
Tento titul sa v cirkevnom prostredí stal predmetom významného teologického sporu v 5. storočí.
Rok 431 – Efezský koncil.
Koncil v Efeze potvrdil používanie titulu Bohorodička v súvislosti s otázkou, kým je Ježiš Kristus.
Katolícke vysvetlenie je nasledujúce: Mária nebola pôvodcom Božej existencie a nedala vzniknúť Božej prirodzenosti. Porodila však Ježiša Krista, ktorý je podľa kresťanskej viery jednou osobou, pravým Bohom a pravým človekom.
Titul Bohorodička má teda predovšetkým vyjadrovať, že Ježiš nie je rozdelený na dve samostatné osoby – jedného ľudského Ježiša a druhého Božieho Syna.
Toto je veľmi dôležité: dogma o Bohorodičke bola sformulovaná predovšetkým na ochranu učenia o Kristovi, nie preto, aby sa Mária vyhlásila za Boha.
To však ešte neznamená, že všetky neskoršie formy mariánskej úcty sú priamo napísané v Biblii.
C. Presné dátumy hlavných katolíckych mariánskych dogiem
Tu je rozdiel medzi starou vieroučnou tradíciou a dogmami, ktoré boli slávnostne vyhlásené oveľa neskôr.
DátumUdalosťČo znamená22. jún 431Záver Efezského konciluPotvrdenie titulu Bohorodička v kristologickom spore.8. december 1854Pápež Pius IX., Ineffabilis DeusSlávnostné vyhlásenie dogmy o Nepoškvrnenom počatí Márie.21. november 1964Druhý vatikánsky koncil, Lumen gentiumVyhlásenie konštitúcie o Cirkvi, ktorej ôsma kapitola sa venuje Márii v tajomstve Krista a Cirkvi.1. november 1950Pápež Pius XII., Munificentissimus DeusSlávnostné vyhlásenie dogmy o Nanebovzatí Panny Márie.
Dôležité je rozlišovať medzi dátumami dogiem a dátumami jednotlivých dokumentov. Napríklad Lumen gentium je koncilová konštitúcia, nie nová mariánska dogma porovnateľná s vyhláseniami z rokov 1854 a 1950.
Čo znamenajú tieto dve novšie dogmy?
Nepoškvrnené počatie – 8. december 1854
Katolícke učenie hovorí, že Mária bola od okamihu svojho počatia uchránená od dedičného hriechu osobitnou Božou milosťou, a to vzhľadom na zásluhy Ježiša Krista.
Neznamená to, že Mária počala Ježiša bez muža. Ide o spôsob, akým katolícka cirkev vysvetľuje Máriino vlastné počatie.
Nanebovzatie – 1. november 1950
Katolícka cirkev učí, že Mária bola po skončení svojho pozemského života vzatá s telom i dušou do nebeskej slávy.
Samotná biblická kniha však neobsahuje jednoznačnú správu o tejto udalosti, ktorá by ju opisovala rovnakým spôsobom ako Ježišovo nanebovstúpenie. Dogma sa opiera o katolícke chápanie Božieho zjavenia, tradície a učiteľského úradu Cirkvi.
D. Kedy vzniklo mariánske hnutie?
Tu musíme rozlišovať medzi úctou k Márii, teologickým učením o Márii a organizovanými mariánskymi hnutiami.
Tieto tri veci nevznikli súčasne.
V 1. storočí bola Mária súčasťou života prvých kresťanov. V Novom zákone však nenachádzame hotové mariánske hnutie v dnešnom zmysle, ani neskorší súbor všetkých katolíckych mariánskych dogiem.
V 2. a 3. storočí sa začali rozvíjať ďalšie kresťanské texty a úvahy o Márii. V 4. a 5. storočí sa mariánske témy čoraz výraznejšie objavovali v teológii a náboženskom živote. Efezský koncil v roku 431 predstavoval významný míľnik.
Historici však upozorňujú, že presné datovanie najstarších mariánskych modlitieb a dokladov úcty je sporné. Napríklad modlitba Sub tuum praesidium, ktorá sa často uvádza ako jeden z najstarších dokladov prosby o Máriinu ochranu, sa v staršej literatúre datovala do 3. alebo 4. storočia. Niektoré novšie paleografické výskumy navrhujú podstatne neskoršie datovanie zachovaného papyrusu, až do 6. – 9. storočia.
Preto nemožno poctivo uviesť jeden presný rok, keď „vzniklo mariánske hnutie“. Môžeme však hovoriť o postupnom vývoji mariánskej úcty v prvých storočiach kresťanstva a o jej neskoršom rozmachu.

5. Bola Mária povýšená podľa vzoru kráľovnej Ester?
Tvoja myšlienka o Ester je zaujímavá, pretože obe ženy sa v biblickom príbehu spájajú s odvahou, pokorou a významnou úlohou v dejinách Božieho ľudu.
Pozrime sa, čo majú spoločné a čo už je iba hypotéza.
A. Čo sa píše o Ester?
Kniha Ester rozpráva o židovskej žene, ktorá sa stala manželkou perzského kráľa Ahasvéra. Keď hrozilo vyvraždenie Židov v ríši, Ester riskovala vlastný život, aby sa prihovorila za svoj ľud.
Medzi najdôležitejšie miesta patria:
Ester 4:14 – Mardochej upozorňuje Ester na možnosť, že sa stala kráľovnou práve pre túto chvíľu.
Ester 4:16 – Ester sa rozhodne predstúpiť pred kráľa napriek nebezpečenstvu.
Ester 7:3–6 – Ester odhalí plán na zničenie svojho ľudu a prosí o záchranu.
Ester 8:3–8 – nasleduje ďalšie úsilie o ochranu Židov.
Ester sa teda prihovára za svoj ľud pred mocným vládcom. Jej príbeh zdôrazňuje odvahu, múdrosť, solidaritu a ochotu riskovať pre záchranu druhých.
B. Je Mária v kresťanskej tradícii podobná Ester?
V niektorých kresťanských výkladoch možno nájsť paralely medzi biblickými ženami, ktoré sa prihovárajú za svoj ľud, a Máriou, ktorej katolícka cirkev pripisuje príhovornú úlohu.
Podobnosť možno vidieť v troch bodoch:
Pokora: Ester koná v nebezpečenstve a Mária sa označuje za Pánovu služobnicu.
Príhovor: Ester prosí kráľa za svoj ľud; Mária podľa katolíckej tradície prosí o pomoc pre veriacich.
Záchrana: Ester sa pričiní o záchranu Židov; Mária je v katolíckej tradícii spájaná so svojím synom Ježišom, ktorý podľa kresťanskej viery prináša spásu svetu.
To však nestačí na historický záver, že cirkevní predstavitelia vytvorili mariánsku úctu zámerne podľa vzoru Ester.
Nie je doložené, že by Efezský koncil alebo neskorší tvorcovia mariánskych dogiem prijali rozhodnutie založiť mariánske hnutie na príbehu Ester.
Je to možná typologická paralela, teda podobnosť medzi biblickými postavami, ktorú môže človek pri čítaní Biblie skúmať. Nie je to však preukázaná historická príčina vzniku mariánskej úcty.
C. Čo je na tvojej úvahe podstatné?
Podľa mňa je dôležité, že sa nepýtaš iba na titul Márie, ale na to, čo tento titul znamená pre život človeka.
Mária v Lukášovi 1:38 hovorí:
„Hľa, služobnica Pána, nech sa mi stane podľa tvojho slova.“
To je postoj pokory a ochoty konať podľa Božej vôle.
Ak niekto oslavuje Máriu, ale pritom zanedbáva núdznych, ponižuje druhých alebo sa usiluje o moc, ktorú môže zneužiť, potom sa právom môžeme pýtať, či jeho konanie zodpovedá duchu evanjelia.
Zároveň treba rozlišovať medzi takýmto zneužívaním náboženstva a samotnou mariánskou úctou. Katolíci ju chápu ako úctu k Ježišovej matke, ktorá má človeka viesť ku Kristovi, nie ho od Krista odvádzať. Katolícke učenie výslovne rozlišuje medzi úctou k Márii a klaňaním sa, ktoré patrí Bohu.
D. Kde je hranica medzi Bibliou a cirkevnou tradíciou?
Tu sa dostávame k podstate rozdielu medzi katolíkmi a mnohými protestantmi.
Katolícka cirkev verí, že Božie zjavenie sa odovzdáva prostredníctvom Písma a apoštolskej tradície, ktoré jej učiteľský úrad autoritatívne vykladá.
Mnohé protestantské cirkvi kladú dôraz na zásadu sola Scriptura, teda že Písmo je najvyššou a rozhodujúcou normou kresťanskej viery.
Preto sa obe strany môžu pozerať na rovnaké biblické verše a vyvodiť odlišné závery o tom, akú úlohu má Mária, akú autoritu má cirkev a či možno určitú vieroučnú pravdu záväzne vyhlásiť až po stáročiach.
Na samotnej historickej otázke sa však môžu zhodnúť: dogma vyhlásená v roku 1854 nie je to isté ako biblický výrok napísaný v 1. storočí.
To ešte samo osebe nedokazuje, že dogma je nepravdivá. Znamená to, že jej pravdivosť treba posudzovať aj podľa toho, aké predpoklady o Božom zjavení a autorite cirkvi prijímame.

6. Prečo Ježiša odmietli niektorí židovskí vodcovia a čo znamená, že prišla spása aj k pohanom?
V tejto časti je potrebné odlišovať konkrétne historické udalosti od tvrdení o celom národe.
Ježiš bol Žid, jeho apoštoli boli Židia a prvotné kresťanstvo vyrástlo zo židovského prostredia. Jeho prvými nasledovníkmi boli ľudia, ktorí verili, že v Ježišovi sa napĺňajú Božie prisľúbenia Izraelu.
Zároveň niektorí židovskí náboženskí predstavitelia Ježiša odmietali a niektorí sa podieľali na udalostiach, ktoré viedli k jeho poprave.
A. Čo sa stalo pri Ježišovom odsúdení?
V Evanjeliu podľa Jána 11:47–53 sa opisuje zhromaždenie veľkňazov a farizejov, na ktorom Kajfáš hovorí, že je lepšie, aby jeden človek zomrel za ľud, než aby zahynul celý národ.
V Jánovom rozprávaní má tento výrok zároveň prorocký význam: Ježišova smrť má viesť k zhromaždeniu rozptýlených Božích detí.
Evanjeliá ďalej opisujú, ako Ježiša odovzdali rímskemu miestodržiteľovi Pontiovi Pilátovi. Ukrižovanie bolo rímskym spôsobom popravy.
V príbehu o Barabášovi sa v evanjeliách objavuje výmena medzi Ježišom a väzňom, ktorý bol spájaný s násilím alebo vzburou. Podrobnosti sa v jednotlivých evanjeliách líšia.
Tieto udalosti možno historicky a teologicky skúmať. Nemožno ich však premeniť na kolektívnu vinu všetkých Židov.
B. Čo hovorí samotná katolícka cirkev o zodpovednosti za Ježišovu smrť?
Katechizmus Katolíckej cirkvi v odseku 597 výslovne odmieta pripisovať kolektívnu zodpovednosť za Ježišovu smrť všetkým Židom tej doby a už vôbec nie Židom nasledujúcich generácií.
Rozlišuje medzi konkrétnymi aktérmi procesu, rímskou mocou a širším historickým kontextom. Upozorňuje tiež, že výrok davu v Matúšovi 27:25 nemožno používať na ospravedlňovanie nepriateľstva voči Židom.
To je dôležitá korekcia, pretože kresťanské dejiny poznajú aj prípady, keď sa biblické rozprávanie o Ježišovej smrti zneužívalo na prenasledovanie Židov.
Ak chceme čítať Bibliu v duchu Kristovho učenia, nemali by sme používať jeho utrpenie na ospravedlnenie ďalšieho utrpenia nevinných ľudí.
C. Žijú Židia stále podľa Starého zákona?
Židovstvo a kresťanstvo sa v chápaní Ježiša zásadne rozchádzajú.
Židia Ježiša všeobecne neprijímajú ako Božieho Syna a Mesiáša v kresťanskom zmysle. Kresťania naopak veria, že v ňom Boh uskutočnil svoje prisľúbenie spásy.
Z toho však nevyplýva, že židovstvo je jednoducho nemenné náboženstvo, ktoré prestalo žiť alebo sa vyvíjať.
Dnešné židovstvo zahŕňa rôzne tradície a smery. Okrem Tóry a ostatných kníh Tanachu zohráva v rabínskom židovstve významnú úlohu aj rabínska tradícia, najmä Mišna a Talmud.
Kresťanské tvrdenie o novej zmluve je vieroučným vyznaním kresťanov, nie dôkazom, že všetci Židia konajú nesprávne alebo že Boh už nemá o židovský národ záujem.
D. Čo hovorí Pavol o Izraeli?
Mimoriadne dôležité sú kapitoly Rimanom 9–11.
Pavol v nich zápasí s otázkou, ako chápať Božie prisľúbenia Izraelu, keď mnohí jeho krajania neprijali Ježiša ako Mesiáša.
V Rimanom 11:1 sa pýta, či Boh zavrhol svoj ľud, a odpovedá: „Určite nie!“
Neskôr varuje kresťanov z pohanov, aby sa nepovyšovali nad prirodzené ratolesti olivy.
Tento obraz je veľmi silný: kresťania z pohanov sa nemajú chváliť na úkor Izraela, pretože sami žijú z Božej milosti.
Aj katolícky dokument Pápežskej biblickej komisie o židovskom ľude a jeho Písmach zdôrazňuje, že Pavlov postoj v Rimanom 9–11 predstavuje vzor úcty, lásky a odmietnutia nepriateľstva voči Židom.
Z kresťanského hľadiska teda nemožno hovoriť, že spása prešla k pohanom preto, aby sa pohania mohli povyšovať nad Židov. Skôr ide o rozšírenie pozvania k Božiemu kráľovstvu na všetky národy.

7. „Mám aj iné ovce, ktoré nie sú z tohto ovčinca“ – čo tým Ježiš myslel?
Toto je jeden z najdôležitejších veršov pre pochopenie rozšírenia kresťanstva medzi pohanov.
V Jánovi 10:14–16 Ježiš hovorí o sebe ako o dobrom pastierovi, ktorý pozná svoje ovce. Potom dodáva, že má aj iné ovce, ktoré nie sú z tohto ovčinca, a že aj tie musí priviesť.
V kontexte evanjelia sa tento výrok často chápe ako prísľub zhromaždenia ľudí aj mimo pôvodného izraelského spoločenstva.
Niektoré biblické výklady preto v „iných ovciach“ vidia najmä pohanov, ktorí neskôr prijali kresťanskú vieru.
Je však vhodné dodať, že tento výrok sám osebe neznamená, že Ježiš zavrhol Židov alebo prestal byť Mesiášom Izraela. Práve naopak, jeho pôsobenie sa začína v Izraeli a z neho sa posolstvo šíri ďalej.
Ako sa toto poslanie uskutočňovalo?
V Skutkoch apoštolov vidíme postupný vývoj:
V Skutkoch 2 Peter hlása evanjelium v Jeruzaleme.
V Skutkoch 8 sa evanjelium dostáva do Samárie a k etiópskemu dvoranovi.
V Skutkoch 10 Peter navštevuje Kornélia, pohana, a prijíma, že Boh neprejavuje zaujatosť voči ľuďom podľa ich pôvodu.
V Skutkoch 13 Pavol a Barnabáš hlásajú evanjelium aj pohanom.
V Skutkoch 15 sa apoštoli a starší zaoberajú otázkou, aké povinnosti majú pohania, ktorí prijímajú kresťanskú vieru.
Toto je historicky aj teologicky zásadný vývoj.
Kresťanstvo sa nešírilo len ako prenos jedného náboženského systému z jedného národa na druhý. Prví kresťania sa museli vyrovnať s otázkou, ako môžu byť pohania súčasťou Božieho ľudu bez toho, aby sa najskôr stali Židmi.
Čo z toho vyplýva pre dnešného kresťana?
Ak Ježiš hovorí o jednom stáde a jednom pastierovi, kresťan by sa mal pýtať, či svojím konaním ľudí zhromažďuje, alebo ich zbytočne rozdeľuje.
Spor o to, kto má pravdu v otázke cirkevnej autority, môže byť teologicky významný. Nemal by sa však stať zámienkou na pohŕdanie druhými, nenávisť alebo zanedbávanie ľudí, ktorí potrebujú pomoc.

8. „Milosrdenstvo chcem, a nie obetu“ – kľúč k pochopeniu celého problému
Podľa mňa sa práve tu spája väčšina otázok, ktoré si položil.
Výrok pochádza z proroka Ozeáša 6:6. Ježiš ho cituje v Matúšovi 9:13 a opäť sa k nemu vracia v Matúšovi 12:7.
Všimnime si, v akej situácii ho vyslovuje.
Ježiš sa stretáva s mýtnikmi a hriešnikmi. Niektorí náboženskí predstavitelia mu vyčítajú, že sa s takýmito ľuďmi stýka. Ježiš odpovedá, že lekára nepotrebujú zdraví, ale chorí, a že neprišiel volať spravodlivých, ale hriešnikov.
To je zásadná výpoveď o jeho poslaní.
A. Čo znamená milosrdenstvo namiesto obety?
Neznamená to nevyhnutne, že Ježiš odmietol každú náboženskú tradíciu, modlitbu, bohoslužbu alebo obrad.
Znamená to, že vonkajšie náboženské úkony nemôžu nahradiť skutočný vzťah k Bohu a k blížnemu.
Človek môže poznať náboženské pravidlá, pravidelne sa modliť a verejne vyznávať svoju vieru, a napriek tomu konať nespravodlivo.
Prorok Ozeáš kritizoval náboženskú povrchnosť, pri ktorej ľudia zachovávali vonkajšie formy, ale neboli verní Bohu svojím životom. Ježiš tento prorocký dôraz preniesol do svojho konania: prijímal ľudí, ktorých ostatní odpisovali, a ponúkal im možnosť zmeny.
Z toho možno odvodiť tri dôležité zásady:
Náboženské postavenie samo osebe nezaručuje spravodlivý charakter.
Človek, ktorý zlyhal, nemusí byť navždy stratený.
Skutočná viera sa musí prejavovať v konaní, najmä vo vzťahu k slabším a núdznym.
B. Prečo potom kresťania medzi sebou tak dlho bojujú?
Dejiny kresťanstva ukazujú, že náboženské spoločenstvá môžu byť súčasne nositeľmi duchovných hodnôt aj miestom mocenských zápasov.
V dejinách kresťanstva nachádzame:
ľudí, ktorí sa obetovali za druhých;
misionárov, ktorí pomáhali chudobným;
kláštory, ktoré uchovávali vzdelanosť;
nemocnice a dobročinné organizácie;
ale aj náboženské vojny, prenasledovanie, politické konflikty a zneužívanie autority.
Bolo by nespravodlivé tvrdiť, že všetci kresťania sú pokryteckí. Rovnako by však bolo nesprávne popierať historické prípady, keď sa kresťanské učenie využívalo na ospravedlňovanie činov, ktoré odporovali jeho vlastným zásadám.
Miera vernosti Kristovi sa nedá posúdiť iba podľa toho, ku ktorej cirkvi človek patrí, ale aj podľa toho, ako žije a ako zaobchádza s ostatnými.
To neznamená, že učenie a cirkevné spoločenstvo sú nepodstatné. Znamená to, že musia viesť k životu, ktorý je s evanjeliom v súlade.

9. Prečo Mária, pápež a cirkevné tradície niekedy zatienia samotného Krista?
Túto otázku je potrebné preskúmať z dvoch strán.
Prvá strana: čo tvrdí katolícka cirkev?
Katolícke učenie výslovne hovorí, že Márii patrí osobitná úcta, ale klaňanie patrí Bohu.
Katechizmus v odseku 971 vysvetľuje, že mariánska úcta sa podstatne líši od klaňania sa Ježišovi Kristovi, Otcovi a Duchu Svätému. Podľa tohto učenia má úcta k Márii viesť k hlbšiemu poznaniu a nasledovaniu Krista, nie ho nahrádzať.
Podobne katolícke učenie o pápežovi tvrdí, že jeho úrad je službou jednote Cirkvi a zachovávaniu apoštolskej viery.
Preto by nebolo presné tvrdiť, že katolícka cirkev oficiálne učí, že Mária je dôležitejšia než Ježiš alebo že pápež stojí nad Kristom.
Druhá strana: čo možno pozorovať v praxi?
Jednotliví veriaci a miestne cirkevné spoločenstvá môžu klásť rozdielny dôraz na rôzne formy zbožnosti.
Niekde má významné miesto ruženec, mariánske púte a sviatky. Inde sa viac zdôrazňuje čítanie Biblie, spoločná modlitba alebo sociálna služba.
Samotná existencia mariánskych modlitieb však ešte nedokazuje, že ľudia zanedbávajú Krista. Rozhodujúce je, či sa ich náboženský život skutočne prejavuje v láske, pokore, spravodlivosti a službe.
Zároveň je úplne legitímne položiť otázku, či konkrétna forma zbožnosti zostáva v súlade s biblickým posolstvom.
Ak niekto venuje všetku pozornosť náboženským obradom, ale prehliada človeka v núdzi, môže sa naňho vzťahovať práve Ježišova výstraha o náboženskej vonkajškovosti.
To isté však platí aj o človeku, ktorý odmieta mariánsku úctu, ale namiesto lásky pestuje nenávisť k iným kresťanom.
Problémom nie je samotná existencia náboženských tradícií. Problém nastáva vtedy, keď tradícia, autorita alebo spor začnú nahrádzať to, k čomu má viera človeka viesť.

10. Ako si jednotlivé biblické otázky usporiadať bez zbytočných sporov?
Navrhol by som rozlíšiť štyri úrovne.
ÚroveňPríkladAko k nej pristupovať1. Priamy biblický textJežiš dáva Petrovi kľúče v Mt 16:19.Najprv si prečítať text v jeho kontexte.2. Historická udalosťEfezský koncil v roku 431.Skúmať dobové pramene a historické okolnosti.3. Teologický výkladKatolícka cirkev chápe Petra ako základ pápežského úradu.Porovnať rôzne kresťanské interpretácie.4. Osobný život vieryPomáham núdznym a konám spravodlivo.Skúmať, či moje konanie zodpovedá Ježišovmu učeniu.
Takýto postup nám umožňuje vyhnúť sa dvom opačným chybám.
Prvou je predpokladať, že každá neskoršia cirkevná tradícia je automaticky priamo napísaná v Biblii.
Druhou je predpokladať, že všetko, čo vzniklo po 1. storočí, musí byť automaticky nesprávne.
V oboch prípadoch by sme sa vzdali poctivého skúmania.
Čo sa dá povedať s istotou?
Ježiš a jeho prví učeníci pochádzali zo židovského prostredia.
Kresťanstvo vzniklo v 1. storočí a postupne sa rozšírilo medzi pohanov.
Nový zákon vznikal v priebehu 1. storočia a jeho kánon sa ustálil postupne.
Peter má v evanjeliách osobitné postavenie.
Katolícke chápanie pápežského úradu zahŕňa presvedčenie o pokračovaní Petrovho poslania.
Titul Bohorodička bol potvrdený v kristologickom kontexte Efezského koncilu v roku 431.
Dogmy o Nepoškvrnenom počatí a Nanebovzatí boli slávnostne vyhlásené v rokoch 1854 a 1950.
Biblia kladie veľký dôraz na milosrdenstvo, spravodlivosť, pokoru a pomoc druhým.
Nie všetky tieto tvrdenia majú rovnaký druh dôkazov. Prvé sú prevažne historické, zatiaľ čo tvrdenia o Božom zjavení, dogmách a pokračovaní apoštolskej autority zahŕňajú aj vieroučné predpoklady.

11. Záverečná syntéza: čo by si mal z celej tejto témy odniesť obyčajný človek?
Tvoju pôvodnú úvahu by som uzavrel piatimi myšlienkami.
Prvá: Kristus je stredobodom kresťanského posolstva.
Ak človek skúma Bibliu z kresťanského pohľadu, mal by sledovať, čo Ježiš učil o Bohu, o Božom kráľovstve, o odpustení a o vzťahu k blížnym.
Druhá: Peter dostal osobitné poverenie, ale konečná autorita patrí Bohu.
Kresťania sa rozchádzajú v tom, ako sa má Petrov úrad chápať a či sa v plnosti prenáša na rímskych biskupov. Tento spor možno skúmať bez toho, aby sa z neho stal dôvod na nenávisť.
Tretia: Mária má v Biblii významné miesto, ale neskoršie mariánske dogmy treba odlišovať od priamych biblických výrokov.
Katolícka cirkev ich vysvetľuje v rámci svojej tradície a učenia o Kristovi. Človek, ktorý chce porozumieť ich pôvodu, má právo skúmať ich biblické základy aj historický vývoj.
Štvrtá: Ježišov židovský pôvod nie je dôvodom na nepriateľstvo voči Židom.
Kresťanstvo vyrástlo zo židovského prostredia a jeho Písmo obsahuje izraelské dejiny, modlitby a prisľúbenia. Pavol v Rimanom 11 varuje kresťanov, aby sa nepovyšovali nad Izrael.
Piata: Náboženská pravda sa má prejavovať aj v živote.
Tu sa vraciame k slovám „Milosrdenstvo chcem, a nie obetu“.
Človek môže stráviť mnoho rokov sporom o cirkevné úrady, dogmy a tradície. Môže sa naučiť množstvo biblických veršov. Môže aj presvedčivo argumentovať proti názorom iných.
Ale ak pritom prehliada hladného, opusteného, chorého alebo človeka, ktorý potrebuje pomoc, potom zostáva nezodpovedaná základná otázka: čo urobil s tým, čo sa dozvedel?
Základné biblické miesta na osobné štúdium
Ak chceš všetky tieto témy ďalej skúmať priamo v Biblii, odporúčam začať nasledujúcimi pasážami:
TémaBiblické miestaPetrovo poverenieMatúš 16:13–20Služba a zodpovednosť apoštolovJán 21:15–17; 1. Petra 5:1–4Mária a jej pokoraLukáš 1:26–55Mária medzi prvými učeníkmiSkutky 1:12–14Spása aj pre pohanovSkutky 10; Skutky 15Iné ovce a jeden pastierJán 10:14–16Vzťah kresťanov k IzraeluRimanom 9–11Milosrdenstvo namiesto náboženskej povrchnostiOzeáš 6:6; Matúš 9:9–13Pomoc hladným, chorým a núdznymMatúš 25:31–46Láska ako základ kresťanského života1. Korinťanom 13
Tieto texty si môžeš prečítať v ľubovoľnom biblickom preklade, ktorý máš k dispozícii. Pri porovnávaní výkladov je užitočné použiť aj viac než jeden preklad.

Moje konečné stanovisko k tvojej úvahe
Najsilnejšou časťou tvojej úvahy je myšlienka, že človek by nemal dovoliť, aby sa mu viera zmenila na nekonečný spor o moc, tituly a náboženské prvenstvo, zatiaľ čo mu uniká skutočné poslanie kresťana.
Zároveň by som neodmietal historické a teologické otázky ako také. Ich skúmanie môže pomôcť pochopiť Bibliu aj dejiny kresťanstva. Dôležité je, aby sme pri ňom rozlišovali medzi faktami, vieroučnými tvrdeniami a vlastnými domnienkami.
Ak by som mal vybrať jedinú myšlienku, ktorá spája Petra, Máriu, apoštolov, židovský pôvod kresťanstva, rozšírenie evanjelia medzi národy a pomoc hriešnikom, bola by to táto:
Náboženská autorita má slúžiť Božiemu kráľovstvu a ľuďom, nie sa stať cieľom sama osebe.
A na úplný záver ešte jedna vec: Ježiš v Lukášovi 19:10 hovorí, že Syn človeka prišiel hľadať a zachrániť, čo sa stratilo.
To je veľmi dobré východisko pre človeka, ktorý chce zostať pevne zakorenený v Biblii, zachovať si pokoru a venovať svoje úsilie tomu, aby pomáhal druhým.
Nie preto, že všetky otázky už má vyriešené, ale preto, že vie, ktorým smerom chce ísť.
#adventure #blog #slovak #travel #writing
#adventure #blog #slovak #travel #writing
Dev Community @[email protected]
2026-10-25

All models, including large models such as Claude Sonnet, can have a limited context window. The context window is nothing but everything the model can see in one call.
Larger models can have a relatively bigger context window compared to smaller models. A bigger context size can hold more history compared to a smaller one.
We are going to see how we can manage the context size, regardless of the model's context size.
Generally, all conversation history will be stored in the local machine's RAM. As RAM size is limited, we cannot store all the history. So, we can calculate the tokens that are going to be stored in the RAM approximately using a package called count_tokens_approximately.
messages : 4
tokens used : 87
room left : 6913
turn 5: this call = 287 tokens, all calls so far = 1035 tokens
turn 20: this call = 887 tokens, all calls so far = 10140 tokens
turn 50: this call = 2087 tokens, all calls so far = 55350 tokens
So, we need to plan the budget for the context ahead. Instead of reacting when the window is full, decide in advance how much room each part gets:
WINDOW = 8_000
BUDGET = {"system": 0.05, "memories": 0.10, "retrieved": 0.35, "history": 0.40, "reserve": 0.10}
Here, we can define that the system can occupy 5% of the total usage. Likewise, memories contain important facts/information about the particular user, retrieved chunks are retrieved from RAG, and recent history/conversation is stored as part of the context.
Set an alarm when we reach the allotted memory usage so we can take action before overflow. What type of action can we take? We can trim the history, clear the old tool outputs, and perform summarization for the conversation.
Trimming - drops whole messages until the history fits. It can trim either at the end, beginning, or middle.
Clear the old tool outputs - keep the newest tool output in full and replace older ones with a one-line placeholder. Keep the same tool_call_id, so the AI message that asked for the tool still has its answer.
Summarization - trimming forgets. A rolling summary compresses the old part into a short note, so facts survive. For summarization, we will use a low-cost LLM. The prompt used for summarization tells what to keep: names, numbers, decisions, and preferences.
Choose the actions from the cheapest fix first, which means first try to clear the old tool outputs. If that is not sufficient, then move to trimming and then summarization, and store the whole history in long-term memory.#ai #agents #llm #software #coding #development #engineering #inclusive #community
Conversation Management & Context Window

#ai #community #software #coding #development #engineering
Mike Sheward @secureowl
2026-10-25

“Pretty intense week with that response to PHP2Shell, am I right?” Said the young SOC analyst to her co-worker at the bar.
“You can say that again, that was crazy?” Came the reply. “Cheers for a job well done!”
Their glasses clinked together and they took their respective sips of beer.
Just then a dark, grizzled figure at the end of the bar came into focus.
“Heh, you kids don’t know what the hell your talking about,” said the figure, interrupting the jovial atmosphere.
“What’s it to you, old man?” The SOC analyst retorted. “You probably have no idea how big of a deal this could’ve been!”
The figure sighed, took a swig of whiskey, and lit a cigarette. He took a drag, and exhaled before continuing to address them.
“You know, there was a year, you were probably still in diapers, 2014, when we had to deal with Shellshock and Heartbleed. Those were real vulnerabilities. We had to fix them while exploitation was happening all around us. Back in those days, they wouldn’t just let us bring down prod to patch either, we had to force that shit down.”
“Yeah, but I mean, PHP2Shell could’ve been the same too - and for us, it’s gonna be more of a thing because AI is finding all these vulns,” the SOC analyst replied.
“Ha. You think AI is a worse adversary than bug hunters with nothing but endless time and cynicism on their hands? Get real. Our bugs were being exploited all around us, and we had real proof of concept code in the hands of anyone - not a fucking essay about potential exploitation in a perfect lab setting.”
“Well, I get it, but I’m sure you were celebrated too, when all was said and done.”
“Ha. We got no parade. We just got Poodle, Meltdown, Spectre, Drown, EternalBlue, Log4Shell. Shit was unrelenting. No AI needed.”
Although they had been skeptical at first, the youngsters were starting to warm to the old timer.
“Are all those vulnerabilities the reason you still sit in this bar drinking and smoking?” Asked the female analyst.
“Not at all,” came the reply. “I just heard about the number 4 thing and that set me off.”
“Ah yeah makes sense. Cheers!”
The three of them raised their glasses.
#infosec

#infosec
Eine Welt - One World @[email protected]
2026-10-25

Neun auf einen Streich… – Nine in one go…

(English below)

… hat das Jahr 2026 aus der Schar unserer Patenkinder in einen neuen Lebensabschnitt entlassen: entweder haben sie die Schule oder eine Berufsausbildung abgeschlossen.
Und so stehen sie als Schulabschließer vor der Frage: „Soll ich ein Studium oder eine Berufsausbildung beginnen?“
Um studieren zu können, bedarf es einiger Voraussetzungen, die nicht jeder Interessent erfüllt. Dann bietet sich eine Berufsausbildung an.
Wer eine Berufsausbildung abgeschlossen hat, die in der Regel drei Jahre dauert, steht vor der Herausforderung einen festen Job zu finden. Das ist nicht einfach, denn die Zahl der Arbeitsuchenden ist groß. Aber zumindest besteht die Möglichkeit, mit Gelegenheitsjobs Geld zu verdienen, um den eigenen Lebensunterhalt zu bestreiten.
Wir freuen uns zusammen mit den Paten, daß unsere diesjährigen Absolventen jedenfalls eine solide Grundlage von uns erhalten haben, auf der sie weiter aufbauen können.
Da ist Adolis. Sie hat eine allgemeine technische Berufsausbildung abgeschlossen, die sie trotz ihrer körperlichen Behinderung in die Lage versetzt, im Dienstleistungsbereich arbeiten zu können.
Alafati hat die Schule abgeschlossen und möchte eine Ausbildung als Elektriker absolvieren.
Carine hat erfolgreich eine Ausbildung zur Schneiderin gemacht und möchte sich selbständig machen. Ihr Pate wird ihr dabei helfen.
Amanda möchte nach erfolgreichem Schulabschluß Musik studieren. Da es jedoch nur wenige Möglichkeiten dafür in Ruanda gibt, muß sie abwarten, ob sie die strenge Aufnahmeprüfung besteht.
Divine und Grace haben eine Friseurausbildung gemacht und werden sehr wahrscheinlich eine Anstellung finden, denn sogenannte Beauty-Salons gibt es in großer Zahl in Ruanda 🙂
Placide konnte einen Traum verwirklichen Autoschlosser zu werden und wird sicher Arbeit finden, denn in Ruanda werden Autos solange reparirt, bsi sie buchstäblich auseinanderfallen 😉
Johnson und Nadia haben die Schule beendet und stehen vor der Wahl, entweder eine Berufsausbildung oder ein Studium zu beginnen.
Wir wünschen allen, daß sie erfolgreich sind und nach vollendeter Berufsausbildung Arbeit finden, um für sich und ihre künftigen Familien sorgen zu können.
Und von unseren Lesern wünschen wir uns, daß sie unsere Arbeit mit Spenden und Ideen unterstützen!

… the year 2026 saw a number of our sponsored children move on to a new stage in their lives: they have either finished school or completed vocational training.
And so, as school leavers, they are faced with the question: “Should I go to university or start vocational training?”
To be able to study at university, there are certain entry requirements that not everyone who is interested meets. In that case, vocational training is a good option.
Anyone who has completed vocational training, which usually lasts three years, faces the challenge of finding a permanent job. This is not easy, as there are many people looking for work. But at least there is the opportunity to earn money through casual jobs to support themselves.
Together with the mentors, we are delighted that this year’s graduates have, in any case, received a solid foundation from us on which they can continue to build.
Take Adolis, for example. She has completed a general technical vocational training programme which, despite her physical disability, enables her to work in the service sector.
Alafati has finished school and would like to train as an electrician.
Carine has successfully completed her training as a dressmaker and would like to set up her own business. Her sponsor will help her with this.
Amanda would like to study music after successfully completing her school-leaving exams. However, as there are few opportunities for this in Rwanda, she will have to wait and see whether she passes the rigorous entrance exam.
Divine and Grace have completed a hairdressing course and are very likely to find a job, as there are plenty of so-called beauty salons in Rwanda 🙂
Placide has realised his dream of becoming a car mechanic and is sure to find work, as in Rwanda cars are repaired until they literally fall apart 😉
Johnson and Nadia have finished school and are faced with the choice of either starting vocational training or going to university.
We wish them all every success and hope that, once they’ve completed their vocational training, they’ll find work so they can provide for themselves and their future families.
And we hope that our readers will support our work with donations and ideas!
Translated with DeepL.com (free version)
#Africa #Afrika #anpacken #ausbildung #Bildung #Bildungspatenschaft #BildungspatenschaftsProgramm #charity #Children #dailyLabourer #deeds #donation #DritteWelt #Education #EineWelt #eltern #greeting #Hoffnung #hope #Information #job #kids #Kinder #kora #Lebensweg #nothilfe #oneWorld #PadrinazgosDeFormación #parents #Patenschaft #Ruanda #Rwanda #schicksal #scholarship #school #schule #Selbständigkeit #selbstbestimmt #Selbsthilfe #Selbstverantwortung #selbstversorger #selbstvertrauen #selfConfidence #selfConsciousnes #selfDetermined #selfHelp #selfSustaining #skills #skillsTrainig #SoutienPourLéducation #Spende #sponsorizzazione #sponsorizzazioneEducativa #sponsorship #stipendium #support #sustainability #tackle #Tagelöhner #Taten #unterricht #vocationalTraining #work #教育のためのパートナーシップ

#africa #afrika #anpacken #ausbildung #bildung #bildungspatenschaft
Sam Thursfield @[email protected]
2026-10-25
25th October 2026

Hello,
I started this blog 22 years ago now (I don’t recommend going back to the start), and for the last 5 years I wrote a monthly “status update” post, aiming to mainly write about interesting stuff I might have done in the world of open source software, which I hoped in turn would motivate me to do more interesting stuff in open source software.
The world changed a lot in that time. If I started now this would probably be a podcast with 16 listeners, instead of being a WordPress blog with 16 subscribers.
I’ve spent a lot of time this year reading and thinking about the impact of large language models on the tech industry and open source. Its interesting because this feels like the moment, whether we like it or not, hacker culture goes mainstream. This week the world’s major news outlets had to figure out what PHP is.
That the BBC’s cyber correspondent didn’t know PHP existed has caused some joking and debate online.
24 years ago I was figuring out what PHP is. Jonathan Atkinson, who I met in a forum that was nominally about writing video games in QBASIC, asked me to make a wiki in PHP. So I did.
All I knew about wikis was that, it’s like a regular website except anyone can edit it. I named the project: Wiki! Here’s a quote from the README:

How do I install it? It's best run in its own directory. Create it one. You'll also want a directory for nodes, or you could keep them in the base wiki dir. Either way, the nodes directory has to be chmod'ed to 777.

You might raise your eyebrows at that comment if you aren’t yourself a teenage hacker discovering web development.
Wiki! did have a login system, and the passwords were even stored as MD5 hashes rather than plain text, as I heard that was good practice. In hindsight, an attacker who knew how to set the HTTP Cookie header could impersonate anyone, like this: Cookie: wikiticket=admin.
Here is a snippet of the file edit.php. Note that $node and $title are inputs you can set via a POST request, or even via URL parameters like edit.php?title="/etc/passwd":

$t=$title; if ($node) { // Write new data // $file=fopen($nodedir.$t.".wiki", "w+"); $node=stripslashes(ereg_replace("(\r\n|\n|\r)","<br>", $node)); // Linebreak to <br> fputs($file, $node."\n");

Even if you just learned what PHP is today, you might see that this is not an entirely secure design.
Anyway, at the time I was proud of my work, and I needed somewhere to host it. So, as you would in 2002, I registered the name “wiki” on sourceforge.net and uploaded the project code.
Sourceforge, for those who haven’t yet reached middle age, was the 2000’s equivalent of Github. It allowed projects to have their own website, as long as they included the Sourceforge logo somewhere, and the website could use PHP. Perfect, I thought, the project’s website will be a wiki!
Looking back now through archive.org, I can see this code actually ran in public for many years.
Here it is around launch day in 2002: https://web.archive.org/web/20021012080349/http://wiki.sourceforge.net/wiki
I have a local copy from around this time, which includes indexjon.wiki:

Sam, there are some serious bugs in this wiki. I keep on getting 'document contains no data' errors; get me on AIM. Welcome to grove.swoo.net. You may or may not be interested in the [weblog]. JonathanA - 29/8/02 - 11:36 am JonathanA - 29/8/02 - 07:36 am
Those bugs went unfixed forever, and six months later, the front page text had been replaced with two poems, one in Italian and one in Russian: https://web.archive.org/web/20030420205758/http://wiki.sourceforge.net
One is “Non chiederci la parola che squadri da ogni lato” by Eugenio Montale, written in 1923, and presumably posted by a fan. Does anyone know what it’s about? A machine translation suggests it might discuss “the crisis of certainty faced by contemporary man”. The other is “Anecdote for Fathers” by William Wordsworth, in Russian via an unnamed translator.
Let’s just sit with that for a moment. Imagine what happens in 2026 if a trivially exploitable PHP website hosted by a US corporation goes online: it’ll be mining bitcoin, serving pornography and drowning in racist and antisemitic spam, probably all within the same day.
In 2003, over the course of six months, my naive implementation of a wiki was gifted with… two rather thoughtful poems.
Fast forward another year. I was about to turn 18 years old, was studying for A levels and mostly concerned with hanging out in the park drinking cheap cider and learning to play the guitar. I was certainly not thinking about this rather flawed chunk of PHP code that I’d written two years earlier, but via the magic of archive.org we can see that various people were genuinely trying to use it as a wiki: https://web.archive.org/web/20041121113508/http://wiki.sourceforge.net
In hindsight, perhaps it attracted so much attention because I’d literally taken the subdomain: http://wiki.sourceforge.net/, unintentionally boosting the SEO reach quite a bit. The site was still active right up until 2007.
I can’t find it now, but I do remember receiving an email at some point from sourceforge.net noting that they’d taken down the wiki! website after discovering it was a major security risk. And at some point they must have (quite reasonably) reclaimed the project name as well, since http://sourceforge.net/projects/wiki no longer exists. It will always live on in my heart, though, and for the moment at: https://web.archive.org/web/20021014172056/http://sourceforge.net/projects/wiki/

The world has changed significantly since I was a teenage hacker. Some of what I learned in those days is completely obsolete, such as the QBASIC programming language and VGA graphics. I am a world expert in these irrelevant topics.
Other stuff that I picked up in the early 2000s has become the foundation of my career as an operating systems developer: C programming, Linux distributions and an gradual induction into open source desktop world via Planet GNOME. And good old PHP, of course. Who knew that, a quarter way through the 21st century, PHP would be front page news?
Age 18, I didn’t tell anyone in the real world that I’d written a wiki because it’d be the first time they’d heard the word “wiki”. The word evoked exotic and mysterious feelings of Hawaii in 2002. Now it universally evokes Wikipedia. People are learning about password hygiene and PHP. The arrival of AI on the scene, to me, fits into this bigger picture that began in the last century: we, the Computer People, are becoming Mainstream.
#ai #openSource
#ai #opensource
(Roughly) Daily @[email protected]
2026-10-25

“Justice is the first virtue of social institutions, as truth is of systems of thought… Each person possesses an inviolability founded on justice that even the welfare of society as a whole cannot override.”*…
Jacques-Louis David, The Tennis Court Oath, 1790-4 (source)
Stephen Colbert once observed that “reality has a well-known liberal bias.” And indeed, liberalism— the political/moral philosophy rooted in individual liberty, consent of the governed, and equality before the law– has been a major ideology through modern times… and, of course, the major ideology animating the founding of the United States.
But as Easten European states turn to authoritarians, Western European nations wrestle with the rise of nationalist far-right parties, and the U.S. is “steered” by MAGA using Project 2025‘s “map,” there’s a concern that liberalism’s days may be past.
Persuasion is running a series of essays on “Liberal Virtues and Values.”
The series, made possible with the generous support of the John Templeton Foundation, will make the case that liberalism has its own distinctive set of virtues and values that are capable not only of responding to the dissatisfaction that drives authoritarianism, but also of restoring faith in liberalism as an ideology worth believing in—and defending—on its own terms.
The latest installment is from Martin Gurri, who argues that Liberalism needs a new foundation (and that how we handle AI will matter fundamentally)…
That liberal democracy is in a state of terminal decline I take to be beyond dispute. Like Alice in the rabbit hole, those of us who dwell in democratic societies suffer from a nauseating sense of falling without ever landing on solid ground. The usual suspects blamed for this tumble—populism, inequality, the economy—are mere surface symptoms of an internal breakdown. We have arrived at the conclusion of a world-historical cycle. Liberal democracy is the procedural embodiment of Enlightenment ideology—and after two centuries of dominance, that ideology has lost all purchase and stands utterly exhausted.
Radical alternatives confront us. Either we reorient our system to post-Enlightenment principles or we risk staggering into the nihilist’s paradise I have called the Endarkenment.
Enlightenment philosophers placed their faith in reason and science. These are purely critical disciplines: liberal propagandists wielded criticism like a scalpel to dissect conservative laggards and utopian revolutionaries alike. Once triumphant at the “end of history,” liberal democracy turned the knife on itself—a process of self-criticism and self-doubt that has shredded its own ideals to ribbons.
The positive values inherited from the Enlightenment—equality, individualism, compassion—were always parasitic on Christianity. But Christianity, like all religions, has no place in a universe ruled by reason and science. Nietzsche long ago brought us the troubling news: the Christian God is dead. Oblivious to the implications of this calamity, liberal democracy kept marching like a cartoon character over the edge of the abyss, until the laws of moral gravity asserted themselves. So began the Great Fall.
Criticism is a force for progress so long as there are blatant irrationalities, like slavery or Jim Crow discrimination, to overcome. But under the hammer of Enlightenment ideals, modern society has been flattened, centralized, and rationalized. Deprived of obvious superstitions to debunk and totalitarian rivals to defeat, liberal democracy has been revealed in all its internal contradictions.
One such contradiction, I contend, pits the cherished principle of equality against the chosen few who actually practice reason and science: let’s call this the problem of the elites.
A second contradiction finds freedom of the press and of opinion arrayed against the need to protect objective truth: call it the problem of information.
Finally, freedom of worship and the life of the spirit collide head-on with the materialist criticism favored by Enlightenment ideology: the problem of meaning.
Each of these contradictions could prove fatal to the democratic project, but none is insoluble, and the search for solutions offers an opportunity for renewal. While there are no guarantees, we could emerge from the crisis with a better understanding of the reach and limits of equality, a more transparent information sphere, and even, it may be, a rich infusion of the transcendental into everyday life…
[Gurri unpacks each of those contradictions…]
… So what is to be done?
The first, obvious step is to move the question to the center of our shared conversations. The most capacious thinkers of the age should contemplate first principles and ultimate goals with at least as much intensity as they invest in Donald Trump or the latest economic report. There’s nothing artificial about this. Science and reason are necessary for modernity. Meaning and moral aspiration are necessary for humanity. A balance must be struck that preserves the one and gives full weight to the other.
Materialism, we must understand, is a valuable perspective for science but not a realistic appraisal of the human condition. Scientists work as if on a geometric point, abstracted from nature and indifferent to its dispositions. In reality, however, we come from nature, we are of nature, and we are far from indifferent to our place in it. Our intuitions are internal to the system: humanity’s spiritual quest is, in every sense, nature reflecting on itself. One such intuition is agency—the belief that, at the crossroads, I am free to go right or left, and I alone make the choice. Another is faith in causation. These stances are irrational, or rather pre-rational, but without them liberal democracy as well as science itself would be impossible.
In the end, materialism is self-defeating. To say, “I choose to be a materialist” is to fall into an absurd fallacy. Either our bodies, which consist of matter, obey unchanging laws, or the mind, transcending matter, is capable of choice. There can be no middle ground.
Politics, in a metaphysical age, will resume its traditional place as a secondary activity—a means to an end. This will leave liberal democracy vulnerable to false prophets who are willing to trample on individual rights in pursuit of some apocalyptic scheme. The interesting question is whether the post-truth condition will make the peril greater or lesser. On the one hand, the lack of universal firewalls might make it easier for a fanatic to flood the system. Yet post-truth itself, I believe, is the strongest kind of firewall. In our fractured, eternally contested environment, the progress of any totalizing doctrine will be painfully slow. The quest for meaning and the struggle over frames of reference are, in the end, really one and the same.
We have inherited a rich and evocative spiritual vocabulary, but it belongs to a worldview thousands of years old. “King of kings,” to cite just one example, should sound archaic in a democratic age. Can we awaken the scientific world to the spirit? Is it possible to sanctify our largely instrumental relations? This shouldn’t entail a belief in fairies and goblins, or even necessarily in religion. Any good empiricist will admit that the richest human lives are lived symbolically. Can we climb the symbolic ladder to the mountaintop, where meaning and modern humanity come harmoniously together—anchoring, it may be, a loftier understanding of equality and social life, and of the sanctity of truth?
We won’t know until we try. Pessimism, let me suggest, is unwarranted. History moves in mysterious ways. We may be due for a second coming of historian Karl Jaspers’ “Axial Age”: preachers and philosophers who conceived a drastically updated transcendental vision, with the rational and the sacred, truth and meaning, reconciled with political freedom.
For 200 years, we placed society under the sway of universal principles. That’s gone with the wind. We have entered an era of radical contingency, in which even truth is indeterminate. The natural tendency is to retreat to the certainties of the past—but there’s no going back. If we hope to preserve the gains from Enlightenment society, and resolve its many contradictions, we’ll have to do so within a new and wildly unstable conceptual framework.
With the spell of the Enlightenment broken, liberal democracy will have to redefine what “created equal” means. This process could end in a rigid caste system, with the institutions in the hands of self-selected mandarins who wield the power of the state to impose their “solutions.” Preferably, and more likely given the thrust of the new technology, we’ll see a flattening of the institutions and the continued trampling by the public into the sacred spaces of politics and communication.
Equality, however understood, will be forged in the will of the citizenry rather than granted by a benevolent God. That will make it contingent like everything else, and so liable to variation and in constant need of defense. And if perfect equality is an impossible dream, eternal inequality requires impossible discipline. The current elite class, already under enormous pressure, may lose its cohesion and melt into the impermanence of the age, divided among the various schools and sects and frames of reference.
The structure of information will follow the definition of equality. The commanding heights will be control over AI. If AI development and deployment is a closed game, the elites could set themselves up as intermediaries in the oracle of an omniscient divinity. If AI is a competitive product, the public will gain the upper hand. In that case, we can expect a flowering of eccentric applications, the individualization of commerce and industry, and the final overthrow of the expert class. The information sphere will remain the mirror to our passions, divisions, and metaphysical longings. Freedom of speech, no longer “endowed by our Creator,” will become the battleground on which the question of equality is ultimately settled.
Here I finally reveal myself in my true colors. I’m an analyst. My task is to describe reality, and that’s what this essay is about. But I also lead an active life inside the world that I’m describing—and I have preferences. I see equality as a factor of opportunity, law, and human dignity, not of perfect outcomes. I think truth emerges from examining a subject from a large number of perspectives, even those that may seem disturbing or false. I hope that my story—as a person, a father, a grandfather—connects to other stories in the past and will connect to more in the future, in a pattern that is not entirely devoid of meaning. And I believe fervently in liberal democracy, because—born in Cuba—I have tasted the alternative.
The breakdown of Enlightenment ideology is only the latest challenge liberal democracy has faced in my lifetime. I’m not entitled, as an analyst, to downplay the perils ahead, but I’m allowed, as an American, to have faith that they will once again be overcome…
Eminently worth reading in full: “The Search for a Post-Enlightenment Democracy”
* John Rawls
###
As we renew, we might send free-thinking birthday greetings to Henri-Benjamin Constant de Rebecque (or as he’s usually called, Benjamin Constant); he was born on this date in 1767. A French political thinker, activist, and writer on political theory and religion (whose work influenced, among many others, Sir Isaiah Berlin), Constant was a committed republican from 1795, backing the coup d’état of 18 Fructidor in1797, and the following one on 18 Brumaire, in 1799. He became the leader of the Liberal opposition in 1800, during the Consulate. Constant fell out with Napoleon, and had to flee (first to Switzerland, then to Saxony). Nonetheless, after his return to France, Constant sided with the Emperor during the Hundred Days, drafting the Charter of 1815. He became politically active again during the Bourbon Restoration and was elected to the Chamber of Deputies in 1818 (where he remained until his death in 1830). As the head of the Liberal opposition, known as Indépendants, Constant was one of the most notable orators in the Chamber, especially in his role as a proponent of the parliamentary system.
Portrait of Constant by Hercule de Roche, c. 1820 (source) #authoritarianism #BenjaminConstant #culture #democracy #Elites #Enlightenment #FrenchHistory #history #illiberalism #information #liberalism #MartinGurri #meaning #moralPhilosophy #Napoleon #philosophy #politicalPhilosophy #religion

#authoritarianism #benjaminconstant #culture #democracy #elites #enlightenment
Dev Community @[email protected]
2026-10-25

I spent a long time thinking follow-ups were rude. Sending a second email to someone who hadn't replied felt like nagging — like I was the person who double-texts and then wonders why nobody answers.
Then I started running outreach for a one-person content operation, and I learned the opposite: most non-replies aren't rejections. They're just lost in someone else's inbox.
The inbox is not a verdict

Editors, site owners, and collaborators get dozens of pitches a week. Mine was landing somewhere between a newsletter, a PR blast, and an invoice reminder. If it didn't get opened in the first day, it sank — not because it was bad, but because inboxes don't resurface things on their own.
Once I accepted that, follow-ups stopped feeling like pressure and started feeling like a second chance for the first email to be seen at all.
One follow-up, then I move on

My rule now is simple: one polite follow-up, about a week later, and then I drop it and move on.
The follow-up is short — shorter than the original pitch. It restates the idea in one line, adds nothing new to argue about, and ends with an easy out: "No worries at all if it's not a fit." That last line matters more than it looks. It gives the other person permission to say no quickly, which is the only kind of no that doesn't linger.
What I don't do: a second follow-up, a "just bumping this to the top of your inbox" third email, or a follow-up that pretends the first one never happened. One is professional. Two starts to feel like a funnel.
Rejection is data, silence usually isn't

The replies I actually learned from were the no's. A short "not right for us right now" told me more about fit than a month of silence ever did. Silence, on the other hand, taught me almost nothing — the same pitch that got no reply from one editor got an enthusiastic yes from another.
So I stopped rewriting pitches based on silence. If an idea gets no reply twice, from two different people, that's a signal about the idea. If it gets no reply once, that's a signal about timing, workload, or a Tuesday afternoon inbox. Those are very different problems, and only one of them is worth fixing.
The spreadsheet that made it bearable

The unglamorous part: I track every outreach in one sheet — who, when, what I pitched, and whether I followed up. Without it, I either forgot to follow up entirely or, worse, followed up with someone I'd already pitched twice.
The sheet also quietly changed my attitude. When you can see forty pitches and twelve replies in one place, a single silence stops feeling personal. It's just a row in a table. That distance is what lets a solo operator keep pitching without burning out on it.
What I'd tell another solo operator

Follow up once, politely, and then let it go. Treat silence as inbox physics, not judgement. And keep a record, because your memory will either catastrophise the silence or forget the follow-up — and both cost you more than the email itself.
If you run outreach solo, I'm curious: what's your follow-up rule? One and done, or do you have a number that works for you?#career #writing #productivity #discuss #software #coding #development #engineering #inclusive #community
What Running a One-Person Outreach Operation Taught Me About Follow-Ups

#discuss #career #productivity #inclusive #engineering #development
OldCoder @[email protected]
2026-10-25
Subject: CoderNet IRC access and details
For: #irc #socialmedia #selfhosting
Image: An IRC exchange from today [posted with permission]
Short link: https://dansu.org/codernet-irc
IRC chat is due for a comeback. It’s the cat’s meow 🐈‍⬛ relative to Discord and other corporate chats 💬 #IRC is Free, Open Source, light, portable to nearly every device, and everything that you type doesn’t go into #AI. 😈
Some Mastodon 🦣 and Akkoma setups support #chat in the Fediverse client. However, that feature isn’t in wide use yet. IRC is the more standard option.

I was in #Freenode IRC off and on for a decade [2008 to 2017]. I’ve run a separate network, CoderNet, from 2012 to date on different dedis and VPSes.
Subsequent to an update on October 24, 2026, CoderNet can be reached as follows:
N1) any IRC client using secure mode, host irc.oldcoder.org, port 6697
or
N2) any IRC client using insecure mode, host irc.oldcoder.org, port 6667
or
N3) any major web browser, go to either irc.oldcoder.org or irc.minetest.org
If you make it into CoderNet, you can IRC PM me using:
/query OldCoder Hello

My hours excluding errands, rest breaks, and trips are typically noon til midnight Pacific Time. Initial responses typically take from 1 minute to 1 hour.

For options N1 and N2, the recommended GUI client for Linux and Windows is ZoiteChat:
https://zoitechat.org/
CLI IRC clients include irssi and weechat. For Android, Revolution IRC is a free GUI client that works well for me. I don’t have a position on clients for Apple devices.
Option N3 lets you to connect to IRC using just a web browser. The IRC GUI in this case is The Lounge. For more information about The Lounge, visit:
https://thelounge.chat/

The sample screenshot is of a IRC PM exchange with MURB, who was actually one of the first people that I chatted with in IRC 18 years ago. MURB is in his late 30s now and disabled but looking to be productive in #gamedev.

The IRC software stack used by CoderNet on the server side is as follows
ngircd - core IRC daemon
nginx - web server
lego - certs generator
anope - IRC services such as NickServ
thelounge - IRC web GUI
ocbip - a fork of the bip IRC bouncer
Presently, the network is running on a low-end Debian box. [IRC needs very little in the way of hardware.]

The Fediverse weblog site for CoderNet is located at:
https://dansu.org/

Additional technical notes:
a. CoderNet uses valid certs as opposed to self-signed certs, so cert error messages shouldn’t be an issue.
b. IRC visitors don’t need to install The Lounge in order to use it. Nothing but a web browser is required.
c. The bouncer feature mentioned on The Lounge home page isn’t supported by the CoderNet setup. I use ocbip as my own bouncer and I could set it up for other people in some cases.
d. If anonymous is a priority, connect to CoderNet in secure mode, IRC PM me as explained above, and ask for a Freenode-type cloak.
e. The Edgy channels shown in the screenshot are in Edgy McEdge’s IRC network as opposed to CoderNet. I’m not Edgy, though I’ve known her since 2018.

To see a larger version of the screenshot, in most web browsers, right-click on the image, select “Open in New Window”, and resize the new window.
#ai #freenode #irc #chat #gamedev #selfhosting
Dev Community @[email protected]
2026-10-24
A Subdomain Field That Became a Credential Harvester: SAP Cloud SDK CVE-2026-89111

SAP scores CVE-2026-89111 at 10.0. That is an unusual number for a server-side request forgery, and the reason is scope: the bug does not merely send a request to the wrong host, it hands the attacker the credentials needed to complete that request themselves. The affected package is the SAP Cloud SDK for Python, and the fix shipped in two parts, months apart, with a regression between them.
The mechanism

The SDK builds an OAuth2 token URL for the client credentials flow. Part of that URL comes from a caller-supplied value named tenant_subdomain, which the SDK substitutes into the URL by string replacement.
Whoever controls tenant_subdomain controls the destination host. When fetch_token runs, it sends grant_type, client_id and client_secret in the form body to whatever host that value points at. An attacker who can set the field to a host they operate receives the client secret directly, with no parsing trick required.
Those credentials buy a real access token from the legitimate endpoint. The token carries whatever permissions the original client held, and the documented Destination configuration stores third-party system credentials. The blast radius runs from one subdomain parameter to the credentials of every system that SDK integrated with.
Two fixes, and a window in between

The advisory lists affected versions below 0.45.2, with the fix in 0.45.2. According to the vendor, that is the whole story.
In practice it is not. Researchers tested each release and found that the module migration work in 0.53.0 reintroduced the flaw, which remained present through 0.55.0. Version 0.55.1 re-fixed it; the current release line is 0.58.5.
The per-version behaviour is reproducible. 0.45.0 and 0.45.1 send the secret to the attacker host, 0.45.2 blocks it, 0.53.0 and 0.55.0 send it again, and 0.55.1 and 0.58.5 block it. One test run against 0.53.0 captured two separate credential sets from a single request flow.
That gap is the finding worth carrying away. Anyone who patched to 0.45.2 and later upgraded to 0.53.0 for unrelated reasons became exploitable again, and no advisory said so. A version-range check driven by the vendor advisory alone would report those hosts as fixed.
Disclosure context

The issue was published at SAP Security Patch Day on 13 October 2026 alongside 19 other vulnerabilities: 4 critical, 3 high, and 4 that had been pre-published on GitHub. No in-the-wild exploitation has been reported.
Other items in the same batch matter for anyone tracking SAP exposure broadly. CVE-2026-89110 is a broken access control issue in NetWeaver Visual Composer. CVE-2026-89107 is code injection in S/4HANA. CVE-2026-89108 is a missing authorization check in Manufacturing Integration and Intelligence, scored between 9.9 and 9.1 depending on the source.
What to do

Compare the installed version against 0.45.2, 0.55.1 and 0.58.5, and treat anything in the 0.53.0 to 0.55.0 range as vulnerable regardless of what an advisory lookup reports.
If an upgrade cannot land yet, whitelist tenant_subdomain against the values your integrations actually use. It is a narrow control, but it addresses the injection point itself.
Rotate client secrets for any SDK integration that ran a version in either vulnerable range. Assume the secret was exposed.
Review what the affected client was authorized to reach. The token the attacker obtains is the client's token, so the question becomes what that client could read, and the Destination configuration is where to look.

The lesson that outlasts the CVE

Advisories describe the versions the maintainer knew about when the advisory was written. A regression introduced later, during a refactor, is invisible to an advisory-based scanner and to any team whose remediation reads as an instruction to upgrade past the listed version.
For a library that handles credentials, the durable control is a negative test in your own pipeline: point tenant_subdomain at a host you control, run the token fetch, and assert that no secret leaves. That test survives version changes, module migrations, and advisory text nobody has updated.
References

SAP Security Patch Day, 13 October 2026, SAP Note for CVE-2026-89111
GHSA-4mv3-jxxm-9cx2 (SAP Cloud SDK for Python, OAuth2 SSRF)

#sap #oauth2 #ssrf #credentialleak #software #coding #development #engineering #inclusive #community
A Subdomain Field That Became a Credential Harvester: SAP Cloud SDK CVE-2026-89111
#credentialleak #oauth2 #ssrf #sap #inclusive #engineering