Ant Group and the vLLM community have open-sourced Humming, a just-in-time compiled GEMM kernel library for quantised LLM inference. One kernel set covers integer weights from INT1 to INT8 and floating-point weights from FP4 to FP8, for dense and mixture-of-experts layouts. It also fully supports T-Head's Zhenwu 810E accelerator, taking the same path beyond NVIDIA. https://pandaily.com/ant-group-vllm-humming-quantized-inference-kernels-zhenwu-810e #China #Tech #AI
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🔴, « C'est qui l'ultragauche ? » - Stéphane Vernay, rédacteur en chef adjoint de Ouest France démonte méthodiquement la propagande politicienne de Sébastien Lecornu
Ce lundi, Sébastien Lecornu a déclaré « un mouvement de l'ultra-gauche a envie d'organiser un désordre profond dans le pays jusqu'à l'élection présidentielle ».
Quelques heures, plus tard, la procureure de Paris a recadré le Premier ministre et sa déclaration, sur la matinale de TF1 ce lundi 19 octobre, en affirmant que « ce n'est pas absolument pas le cas ». L'ex-préfète de Charente sur France 5, dimanche 18 octobre, a aussi démenti ces allégations politiciennes.
Elles sont aussi balayées par l'analyse des manifestations, massives, qui ont réuni près d'un million de personnes partout en France ce samedi 17 octobre, pour le blocage des prix, l'abrogation de Parcoursup et inscrire au budget les 10 milliards nécessaires pour répondre aux revendications des lycéens et étudiants. Depuis, le gouvernement accuse l'ultra-gauche et LFI d'être responsables du chaos qu'il a lui même généré en ignorant les revendications du mouvement.
Lors de sa conférence sur le moment politique, ce mardi soir, Jean-Luc Mélenchon a de nouveau interpellé Lecornu sur cette déclaration : « De qui parle-t-on ? Où ? Quand ? Comment ? Ce n'est pas une plaisanterie !
M. Lecornu et d'autres affirment d'ailleurs que nous comptons tirer parti du désordre pour gagner cette élection. Comment peuvent-ils nous croire aussi stupides ?
Retour au sérieux. Ça suffit de jouer les apprentis-dictateurs qui manient les oppositions politiques au fouet ! »
L'insoumission
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DATE: October 21, 2026 at 08:00AM
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: Early fluid intelligence linked to faster gray matter refinement
URL: https://www.psypost.org/childhood-intelligence-predicts-the-pace-of-adolescent-brain-development/
Early intelligence levels in children can predict the pace of their physical and functional brain development as they progress through adolescence. A large study found that children with higher cognitive abilities experience faster gray matter shrinkage and a more gradual maturation of white matter pathways. The findings were published in Developmental Cognitive Neuroscience.
During adolescence, the human brain undergoes immense physical and functional remodeling. Gray matter, which contains the main cell bodies of neurons, initially grows during childhood and then shrinks in a process of refinement known as synaptic pruning. At the same time, white matter, which acts as the communication cables connecting different brain regions, typically strengthens as protective sheaths of myelin wrap around nerve fibers.
As the brain physically changes, its functional networks also reorganize. The synchronization between different neural networks, measured while the brain is at rest, evolves to balance integration and specialization. Researchers wanted to understand how individual differences in early childhood intelligence relate to these long-term developmental trajectories.
Previous research on cognitive ability and brain maturation has often relied on cross-sectional data, taking a snapshot of a single moment in time. Longitudinal studies tracking the same individuals over many years have been relatively limited in size and scope. To address this gap, researchers Phoebe Thomson, Philip Shaw, and Divyangana Rakesh from King’s College London conducted a detailed investigation into how early intelligence tracks with multiple brain changes over time.
The investigators analyzed data from the Adolescent Brain Cognitive Development study. This is an ongoing, large study following thousands of children across the United States. For this analysis, the researchers reviewed data from 10,495 participants. The data spanned four time points, beginning when the children were around nine or ten years old and continuing into middle adolescence.
At the start of the study, participants completed a battery of tests to assess different facets of their general cognitive ability. The researchers separated these scores into three distinct categories. The first category was fluid cognition, which involves problem-solving, memory, and processing speed.
The second category was crystallized cognition, which measures accumulated knowledge, such as reading comprehension and vocabulary. The third metric was matrix reasoning, a specific type of visual and spatial abstract reasoning. Treating these abilities as separate constructs allowed the research team to see if different types of intelligence corresponded to different biological maturation patterns.
To measure brain development, the team examined three types of magnetic resonance imaging scans. Structural imaging provided data on the volume, surface area, and thickness of gray matter. Diffusion imaging tracked changes in white matter microstructure. Finally, resting-state functional imaging recorded how different functional networks in the brain communicated with one another.
Because family environment can influence both cognitive test scores and biological development, the researchers adjusted their mathematical models for household socioeconomic status. They also accounted for participant sex and the technical variations among different magnetic resonance imaging scanners used at different research sites.
The researchers first looked at gray matter structure across the whole brain. They found that baseline fluid cognition predicted how cortical surface area and volume changed over time. Specifically, teenagers who started with higher fluid cognition scores experienced a faster rate of gray matter contraction.
This faster decrease in gray matter volume and surface area was especially prominent in the frontal lobe. The frontal lobe is heavily involved in higher-order thinking and decision-making. These structural changes align with theories that children with higher cognitive abilities might undergo an accelerated period of neural refinement following childhood growth.
Cortical thickness, a different structural metric, did not show a statistically significant association with any of the cognitive measures. Crystallized cognition and matrix reasoning scores also did not relate to long-term changes in gray matter structure.
Next, the researchers examined white matter development using a metric known as fractional anisotropy. This metric evaluates how uniformly water molecules travel along neural pathways. Higher fractional anisotropy generally indicates thicker myelin sheathing and more tightly packed nerve fibers, which typically increase over the course of adolescence as brain regions become better connected.
The researchers found that early matrix reasoning scores predicted the rate of this white matter maturation. Children with higher matrix reasoning scores started with higher baseline white matter integrity, but they exhibited a slower, more protracted increase in fractional anisotropy over time. This pattern was visible in several major white matter tracts, including those connecting the frontal lobe to other areas.
Fluid and crystallized cognition did not show a statistically significant association with white matter development.
Finally, the team evaluated resting-state functional connectivity, measuring the communication strength between distinct brain networks. They focused on how often separate networks synchronized their activity. Early scores across all three cognitive measures predicted the trajectory of this between-network communication.
Children with lower baseline cognitive scores exhibited a longitudinal increase in connectivity between different functional networks. This general increase was absent in participants with higher initial cognitive scores. Instead, youth with higher intelligence scores showed a faster decrease in connectivity between certain networks that normally decouple during adolescence, such as those governing auditory processing and cognitive control.
When evaluating resting-state functional connectivity at a closer level, the team looked at exactly how specialized networks interact. They noticed that higher crystallized cognition and matrix reasoning scores were linked to a stronger separation between the default mode network, active during internal thought, and higher-order attention networks. Over the course of adolescence, these systems became more distinctly compartmentalized in youths with higher cognitive abilities.
This decoupling process is thought to help distinct brain networks operate more independently. The findings suggest that higher childhood intelligence might relate to an accelerated specialization of these functional networks.
The study provides an observational account of brain development and does not demonstrate that high cognitive ability directly causes these physical or functional changes. The findings could be influenced by shared underlying variables, such as genetics or environmental stimulation, which might independently shape both intelligence and brain maturation.
Because data from the final measurement time point was incomplete at the time of the analysis, the researchers primarily utilized linear models to chart developmental changes. Brain maturation often follows non-linear patterns, speeding up or slowing down at different ages. Future longitudinal tracking covering a wider age range could help map these physical changes with even greater precision.
The study, “Cognitive ability in childhood predicts adolescent structural and functional brain development: A longitudinal study,” was authored by Phoebe Thomson, Philip Shaw, and Divyangana Rakesh.
URL: https://www.psypost.org/childhood-intelligence-predicts-the-pace-of-adolescent-brain-development/
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #EarlyFluidIntelligence #AdolescentBrainDevelopment #GrayMatterRefinement #WhiteMatterMaturation #MatrixReasoning #FluidCognition #CrystallizedCognition #RestingStateConnectivity #DefaultModeNetwork #DevelopmentalCognitiveNeuroscience
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This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady]
LazyDesk: I Built a Local AI That Organizes My Files So I Don't Have To
My Downloads folder has a habit of becoming a digital junk drawer.PDFs from college, screenshots, documents, random images, project files, and files with names like
final_v2_latest_REAL.pdfall end up in the same place.I could organize them manually. I could also keep postponing it.
For Hacktoberfest Week 3, I decided to build something that takes the repetitive work off my hands: LazyDesk, a local AI-powered file organizer.
The idea is simple: let AI handle the tedious parts while keeping me in control of the final changes.
What I Built
LazyDesk is a small desktop-friendly application that helps users organize files with the assistance of an open-weight AI model.Instead of asking users to manually inspect every file, rename it, decide where it belongs, and move it into the right folder, LazyDesk prepares an organization plan.
The workflow is straightforward:
- Select a folder containing files you want to organize.
- Let the application inspect file metadata and relevant content.
- Ask the local AI model to suggest descriptive filenames and categories.
- Review the suggestions and make corrections.
- Approve the changes and let the application apply them safely.
The goal isn't to let an AI run wild across someone's computer. It's to eliminate repetitive decisions while leaving the user in control.
The principle: automate the boring work, not the user's judgment.
Demo
In the demo, I'll show a folder containing disorganized files, the AI-generated organization plan, and the resulting folder after approving the changes.Code
The repository includes the application source code, setup instructions, dependencies, example files, and documentation explaining how the local AI integration works.How I Built It
I built LazyDesk using Python, Streamlit, Ollama, and an open-weight Gemma model.The application is divided into four main parts:
1. File inspection
The application collects basic metadata such as filenames, extensions, and file sizes. Where necessary, it can extract relevant text from supported documents to make more informed suggestions.
2. AI-powered classification
The model receives a limited description of each file and proposes a category, a clearer filename, and a short explanation. Structured output helps the application validate the suggestions before using them.
3. Human review
The proposed changes appear in a review interface. Users can edit, reject, or approve suggestions instead of trusting every AI output blindly.
4. Safe file operations
The application applies approved changes through ordinary Python file operations. It checks paths, handles naming conflicts, avoids silently overwriting files, and records the changes made.
The language model proposes actions; the application validates them; the user approves the final plan.
This separation is important because a language model can make mistakes, and a file organizer should never treat every generated suggestion as automatically correct.
The technical challenge
One interesting challenge is that file organization requires more than generating a plausible filename.A model might suggest a filename that already exists, misunderstand a document, or return a category that doesn't match the application's allowed options.
I address this by validating model output, constraining category choices, checking destination paths, and requiring approval before moving files.
Why Does Open Innovation Matter?
For this project, using an open-weight model isn't just a technical preference. It changes where the work happens and who controls the data.Privacy by design
Files can contain academic work, personal documents, financial records, and other information that users shouldn't casually upload to an external service.Running inference locally allows the application to analyze supported files without sending their contents to a third-party AI API, provided the complete workflow is configured to remain local.
Control over the model
An open-weight model gives developers more flexibility to choose an appropriate model, adjust prompts, change inference settings, and experiment with different models as their requirements evolve.Fewer recurring API dependencies
Once a compatible model is downloaded, local inference can avoid per-request charges from a hosted language-model API. The trade-offs include local hardware requirements, model storage, electricity, and inference speed.Learning by building
Open AI tooling makes it possible to inspect the surrounding implementation, experiment with different models, and understand how the application behaves instead of treating the model as an inaccessible service.For LazyDesk, the important advantage is that AI-assisted file organization can be built around user-controlled data and transparent file operations.
My Agent Session
[OPTIONAL: EMBED OR LINK YOUR DEVRELAY AGENT SESSION HERE.]I used [INSERT YOUR ACTUAL DEVELOPMENT WORKFLOW OR TOOLS] to build and test the application. The session shows how the project evolved, the implementation decisions I made, and the problems I worked through.
The Lazy Payoff
The point of LazyDesk is to replace a repetitive manual process with a reviewable, AI-assisted workflow.For my demonstration, I tested it with [NUMBER] files across [NUMBER] categories.
- Files processed: [MEASURED COUNT]
- Suggestions accepted: [MEASURED COUNT]
- Suggestions corrected or rejected: [MEASURED COUNT]
- Time taken by LazyDesk: [MEASURED TIME]
- Time taken by my manual baseline: [MEASURED TIME]
These measurements come from my actual test run, not estimated performance figures.
The most useful outcome is not simply that AI can rename files. It's that a user can review an entire proposed cleanup in one place instead of making every decision individually.
Prize Categories
[LIST ONLY THE PARTNER CATEGORIES THAT YOUR IMPLEMENTATION ACTUALLY QUALIFIES FOR, OR REMOVE THIS SECTION.]What's Next?
I'd like to explore additional capabilities such as duplicate-file detection, customizable organization rules, scheduled cleanup suggestions, and support for more document formats.The guiding idea will remain the same: let local AI handle the tedious parts, keep potentially sensitive data under the user's control, and make consequential actions reviewable.
Building LazyDesk for the Hacktoberfest Slow and Steady challenge has been a reminder that a useful AI project doesn't have to be enormous. Sometimes, the best automation is the one that quietly gives people their time back.
If you've built a tool that saves you from a repetitive task, I'd love to hear about it.
devchallenge #hf26challenge
#devchallenge #hf26challenge #software #coding #development #engineering #inclusive #community
LazyDesk: I Built a Local AI That Organizes My Files So I Don't Have To -
Listening to Wisconsin Public Radio this morning and a “Wisconsin Life” from the archives was aired; kinda got me to thinking of how I loved to drive my ‘93 Ford F-150 XLT with a five speed manual transmission I had for almost 20 years and donated to WPR nearly two years ago.
https://wisconsinlife.org/story/not-the-same-old-dance-an-ode-to-driving-stick-shift/
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The QA report
"When the sidebar is collapsed, the '+ Create' menu gets cut off."The screenshot showed exactly that: with the sidebar collapsed to 60px, the dropdown menu was sliced clean off at the sidebar's right border. Only the first character of "New folder" was visible.
The strange part: with the sidebar expanded (244px), the same menu rendered fine. Same code, same 190px menu width. It only broke when collapsed.
Where I got stuck
My first suspect wasz-index— maybe the menu was hiding under something. But DevTools showed the menu was in the DOM with a plenty-highz-index. It wasn't hidden; it was being physically clipped at the sidebar's boundary.Next suspect:
overflow. But all the sidebar had was this:.sidebar {
width: 60px; /* collapsed; 244px when expanded */
overflow-y: auto; /* vertical scroll for long item lists */
}No
overflow-xanywhere. "The horizontal axis is stillvisible, so anything sticking out should show" — or so I thought.The cause: one non-visible axis drags the other along
The CSS spec has this rule:When one of
overflow-x/overflow-yis set to something other thanvisible, avisiblevalue on the other axis computes toauto.
So the moment you writeoverflow-y: auto, the unspecifiedoverflow-xsilently becomesauto. Sure enough, the Computed tab in DevTools showedoverflow-x: auto.Now everything added up:
- The menu was floated inside the sidebar with
position: absolute - The sidebar was effectively an
overflow: auto autoscroll container - A 190px menu inside a 60px container → the horizontal overflow gets clipped (or scrolled)
It had survived in the expanded state only because 244px happened to fit most of the menu, so the clipping wasn't noticeable. Structurally, it was doomed to clip from day one.
The fix:
position: fixedonly while collapsed
I couldn't dropoverflow-y: auto— the scroll is needed. So instead, while collapsed, the menu escapes the scroll container's coordinate system.position: fixedpositions against the viewport, so ancestoroverflowcan't clip it (caveat: an ancestor withtransformetc. changes the containing block).The position comes from the button's
getBoundingClientRect(). In React, I store the coordinates in state on click and feed them intostyle:const [menuPos, setMenuPos] = useState<{ top: number; left: number } | null>(null);
const handleOpen = (e: React.MouseEvent<HTMLButtonElement>) => {
if (collapsed) {
const rect = e.currentTarget.getBoundingClientRect();
// float it just to the right of the button
setMenuPos({ top: rect.top, left: rect.right + 8 });
}
setOpen(true);
};<ul
className={collapsed ? "menu menu--fixed" : "menu menu--absolute"}
style={collapsed && menuPos ? { top: menuPos.top, left: menuPos.left } : undefined}
>.menu--absolute {
position: absolute; /* expanded: as before */
top: 100%;
left: 0;
}
.menu--fixed {
position: fixed; /* collapsed: escape the sidebar */
}I kept the expanded state on the old
absolutepath. Moving everything tofixedwas tempting, but the expanded state has existing scroll-following behavior tangled in, so I limited the blast radius to the collapsed state.To verify, I opened the menu in the collapsed state on a local build and compared rectangles in the console:
const menu = document.querySelector(".menu--fixed").getBoundingClientRect();
const sidebar = document.querySelector(".sidebar").getBoundingClientRect();
console.log(menu.left >= sidebar.right); // true → the menu is outside the sidebar
console.log(menu.right, document.documentElement.clientWidth); // still within the viewport?menu.leftsat to the right of the sidebar's edge and the whole menu fit in the viewport. Done.Takeaways
Two lessons from this one.1. A popover inside a scroll container will eventually get clipped.
The instant you writeoverflow-y: auto, that element becomes a container that clips horizontally too. Any dropdown or tooltip floated inside it withabsolutegets cut the moment it outgrows the container. "It looks fine now" just means it happens to fit today. Put popovers onfixedor in a Portal — outside the scroll container — from the start.2. Auxiliary states like "collapsed" deserve one pass per feature.
That same day we got three bug reports tied to the collapsed state: a drawer opening as a 60px sliver, the hamburger icon showing at desktop width, and this clipped menu. All of them worked perfectly when expanded and broke the moment you collapsed. We had only ever tested the default state. Of all the state combinations (expanded × collapsed, light × dark, desktop × mobile), the side you don't personally use is exactly the one worth a full lap.Hope this saves someone the same detour.#css #frontend #react #debugging #software #coding #development #engineering #inclusive #community
The Clipped Dropdown in a Collapsed Sidebar — the Hidden Meaning of overflow-y: auto - The menu was floated inside the sidebar with
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The older I get, the less tolerant I am of applications ( #desktop & #smartphone) that cannot export and import their #config #settings to/from a file that I can #backup, somewhere.
Younger people with decades of their lives ahead may not consider this a big deal, and rush through settings, hammering in the very same information, upon every re-installation or migration. But I'm done with it.
The lack of an export/import feature should be considered an intended offense.
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The Value of Rural Walks
Reading Time: 4 minutesSome series, like Last of the Summer Wine, follow people going on local walks and getting up to mischief. We often hear of people that love to go for walks on the weekend. The issue, as traffic density increases is that the local walks that were along quiet roads are now along busier and busier roads.
At the same time, when road works block one road traffic is diverted along secondary and tertiary roads. Recently a very important road was shut to traffic entirely. As a result of this closure a route that was once an agricultural road, reserved only for rural roads was used by a Transport Public de Nyon bus as well as a French car from Ain. What was meant to be a quiet road, exclusively for farmers, by being metalled, became a short cut for local buses and commuters.
Within the space of a few minutes I saw three cars go down what should be a prime walking path. It wouldn’t be so bad, but the main road has no walking path. The only walking trail is informal, created by people walking along the route and preventing grass and other plants from growing.
When I got to Signy, I walked along a tertiary road and along this road two cars drove by too fast, and too close, but especially too close. It is a shame for the people that live in this village.If people that live in a village can’t respect people walking in their own village, then what respect will the same villagers get from those that are commuting via that village?
When I got to Grens, they narrowed the road to slow cars down, but it doesn’t slow cars down. It encourages them to shoot the rapids to get through before they’re blocked.
Yesterday as I walked in Grens a TPN bus went onto the pavement ahead of me squeezing me against the wall, without any respect or due care and attention. Of course I could stop, and make space for the bus but the road is narrowed for cars and buses, and I was on a “protected” segment of road, that was ignored by the bus.
If this happened once I’d accept it without a word. The issue is that every single village is becoming a 30 zone, and real physical pavements are being replaced by bollards and flattened. This means that cars no longer need to mount the curb to get on a “pavement” and that pavements are now conceptual rather than real.
This means that if you walk in Eysins, cars can run you over, with ease, especially at rush hour, and the same is true of Signy, Grens and other villages.
In the past when we walked on farm roads they were made of dirt so cars didn’t drive along them. When we walked in villages we had real pavements and 50 zones, so cars would destroy their tires if they mounted pavements too fast. The more 30 zones I see, the more real pavements, real barriers are removed, the less pleasant walking becomes.
In the idealised world imagined by bureaucrats 30 zones are respected but in my experience as a person walking up to five and a half million steps per year theory and reality are different.
What gets to me is that in Europe at least, towns are already walkable and cycling is possible, if we’re ready to take secondary streets and roads. They spend months adding walking routes, and I use plenty of them in Nyon and Morges, and cycling routes near Divonne and Geneva, so I take advantage of the infrastructure.
My issue is that Eysins, Crans, Grens, Arnex-sur-Nyon and other villages are turning into commuter towns and suburbs rather than walker friendly. They are being optimised for people that drive everywhere, at the expense of local walkability.
The fact that two cars in Signy drove by without slowing when they saw me, and that the bus skimmed me in Grens illustrates that walking is a second hand citizen and that cars are seen as primary in these commuter villages.
In my eyes, and experience making towns and cities walkable is a fantastic idea, but if the countryside stops being walkable due to commuters and transit traffic, then we lose something very important. Why live in the countryside, if to go for a walk we have to drive to town, in order to walk safely?
What I want is simply a gravel path, alongside main roads so that I can walk between villages safely, and without my shoes getting soaked with dew, and muddy. I want villages to ensure that we can walk safely within villages. I felt safer in villages with real pavements, and 50 km/h speed limits. 30 per hour, and no pavement, with rush hour traffic is frightening.
Some will say “So don’t walk at rush hour” and I’d answer, “increase bus frequency, and plan infrastructure that takes human nature into account.” In the end I use the car, not out of laziness, but because the walking infrastructure where I live is not suitable for someone to feel safe to walk. Before the road works to encourage walking and cycling I cycled almost daily, and I walked almost daily. Now I drive the car daily, and then run. Cycling and walking have both been demoted. That new infrastructure work broke my habits, rather than encouraged me.
Idealistically, by this time next year the endless road works will be over, but for now, I’m glad to have an EV to drive to safer places for walking and running.
#pleasant #rural #walking -
The quiet Azure increase runs deeper than the headline percentages. A Reserved Instance holds your compute price until the term ends, but storage and software licences can still rise. A Savings Plan keeps its hourly rate fixed while underlying prices climb, so the same commitment covers less capacity. And from 1 February, new reservations for Savings Plan services stop being exchangeable.
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What’s new in Chrome 156. CSS gets the random() function for values in a range, the :navigation-source pseudo-class for the link, button, or form that started a navigation, and the pair keyword for scroll-snap-type to snap both axes to the same element. Overflow accepts scroll clip for single-axis scrolling. Failed module imports are no longer cached, so import() can retry, WebTransport supports custom headers, and IndexedDB moves to a SQLite backend. #chrome #browser
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Anecdotally, how not to do inclusive leadership.
I had a senior manager whose wife had broken both arms on a cycling trip and he was complaining NON-STOP about now having to do everything at home while working fulltime. When I pointed out that I also did everything at home while working fulltime, and I was fine, he said "yeah but it comes natural to you" (plural you, 'jullie' in Dutch). This was in a team meeting. The same manager would often try to give secretarial tasks. Fun times.
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The Principia community site has been pulled offline due to two high severity remote code execution vulnerabilities in PHP core. A patch was planned to be released at 14:00 GMT today by the PHP team, but reports of the vulnerability being exploited in the wild have already appeared.
There are no signs of compromise on the server currently, and I am keeping things offline until a patch is out which will likely drop earlier with how things are escalating. If you run anything on PHP I would advise you to do the same.
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Lyon. « On va risquer notre vie ? Prendre de plus gros marteaux ? » : les commerçants face à un potentiel acte II
Sous couvert d’anonymat, deux commerçants de la rue Victor-Hugo lâchent sur le ton de la blague : « Pour samedi…
#Lyon #FR #France #Actu #News #Europe #EU #actu #Actualités #Auvergne-Rhône-Alpes #Commerceetservices #Économie #ÉditionLyon-Villeurbanne #europe #Faits-divers-Justice #FilInfo #Lyon-bassin #Républiquefrançaise #Rhône
https://www.europesays.com/fr/1256490/ -
Put five people in a room and ask them to pick holes in something, and more often than not they'll end up agreeing with each other... and not because they're right. Disagreeing with the room has a social cost.
Why would a model be any different? They're trained on every polite meeting transcript and diplomatic code review we ever produced, so I suspect sycophancy is the training data showing through.
So when I had two models from different vendors cross-review the same architecture, each got the other's report with one instruction attached:
"Do not manufacture agreement. A disagreement that survives mutual review is worth more than a diplomatic split."
One conceded all five criticisms levelled at it and withdrew its biggest recommendation. The other caught itself breaching the very rule it had used as its killer argument. And one divergence held (a sandbox's denial is just an error, and a component can swallow an error), which went into the spec as a requirement in its own right.
Also in the post: why I picked a judge for its ignorance, and why the reviewer often gets chosen by whichever subscription still has quota.
#AI #LLM #CodeReview #SoftwareArchitecture
https://phpboyscout.uk/nothing-in-the-room-can-take-it-personally/
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“Spezialfahrzeuge (Krankenwagen, Feuerwehr, Traktoren o.ä.)” (Special-purpose vehicles: ambulances, fire trucks, tractors, etc.)
A World War I-era Renault taxi, the same model as one of the 600 “Taxis of the Marne” that rushed French troops to the front lines to defend Paris against the approaching German army. More info in the comments.
#photography #museum #exhibition #ww1 #worldwar1 #worldhistory #vintage #car #renault
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Hacker gets 8 years for stealing $3.3 million from taxpayers
A Nigerian national has been sentenced to eight years in prison for his involvement in a series of spearphishing attacks targeting US tax preparation businesses since 2019, BleepingComputer reports. The scheme stole $3.3 million from taxpayers. CyberScoop and The Record versions of the same sentencing were dropped as duplicates. https://www.bleepingcomputer.com/news/security/hacker-gets-8-years-for-stealing-33-million-from-taxpayers/
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'How to protect your community from ICE when you have Long COVID
Written by Miranda DeNovo
July 7, 2026People are taking on immigration enforcement from bed and the streets. We talked to two organizers for tips to participate in resistance while staying safe.
(...)If you recognize airborne illnesses as an ongoing instrument of mass death and disablement, you are morally obligated to oppose ICE for the same reasons. And if you are already organizing against ICE, you should be masking and encouraging comrades to do the same.'
https://thesicktimes.org/2026/07/07/how-to-protect-your-community-from-ice-when-you-have-long-covid/?
#longCovid
#Longhaulers
#resistance
#staysave
#iceoutnow
#theSickTimes
#USA
#disability -
19 Apple Recipes for Every Meal, From Classic Pie to Savory Dinners
https://www.budgetbytes.com/apple-recipes/
Nineteen apple recipes spanning desserts, breakfasts, savory dinners, and homemade applesauce - a practical guide to getting through peak apple season without making the same dish twice.
#food #recipe #apples -
IC Brief Morning — 2026-10-24
Iranian and Russian intelligence services are escalating lethal and sabotage operations against Western personnel and allied territory. Advanced Iranian assassination plots against U.S. personnel drove Middle East embassy drawdowns; the State Department will likely order reductions at additional posts by early November. High confidence reflects an authenticated DNI memo. Putin personally ordered sabotage against NATO, a shift from earlier GRU-level reporting; a NATO government is unlikely to publicly attribute a new attack to Russian state services by late November. Russia will very likely expel at least one Austrian diplomat within 30 days.
Taiwanese prosecutors will very likely announce criminal charges tied to Chinese election interference before the November 28 vote, as Beijing's traceable inducements give investigators actionable cases. Moderate confidence rests on the NSB director's statements and a related indictment. A confirmed breach through the PHP2Shell flaws will likely surface by November 7; operators on end-of-life PHP have no patch path.
Federal grand juries will likely indict CIA contractor Brinksman on Espionage Act charges by late November, and will likely indict former FBI official Floris or Benavides on false-statement charges by the same date. High confidence in both reflects documentary records, though the Floris-Benavides affidavit omits quoted testimony for one allegation and was filed days before midterms.
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Happy Film Day
I got four rolls of film back from the developer lab today. Happy new film day! Two of the rolls are the October entry in the Frugal Film Project. I’ll post those another time (tomorrow?). For now though, here are a few highlights from the other two rolls. Most of these are from Weir Hill in North Andover, MA.
The first few are medium format. I took them with my Lomo Lubitell. The film is Lomography 800 which is pretty fast but I still used a tripod for most of them.
Now we have a few 35mm pics shot with my Nikon N90 and the magic known as autofocus. Ironically, these are the same type of film as the medium format pics. Lomography 800.
How about some apple picking pics to wrap this up?
That’ll do for now. Maybe tomorrow I’ll post the Frugal Film Project and bombard you with 24 medium format pics. We’ll see.
#filmPhotography #lomoLubitell166Universal #nikonN90 #photography -
"How did OpenAI go out of business?"
"Well, while running AI benchmarking the OpenAI agents decided that the best way to win was to drop the data centers hosting its competitors. They hacked the data centers and disabled the CRACs, in-row cooling, fire suppression, and door controls. It monitored the temps and, after enough machines cooked themselves to death, attacked the local grid to drop the power."
"HOLY SHIT! Did it work?"
"No, for two reasons. First, the safety controls worked exactly you'd hope and stopped most of the damage. Machines were still damaged but the scale was small. Second, the idiot clankers hit the wrong data centers. They mostly held random co-lo gear and some cloud hosted medical software."
"what?" .. so Anthropic and the rest were fine?"
"Oh, no. The same day a tornado swarm happened to hit the SpaceXAI Colossus 1 and Colossus 2 data centers near Memphis that were reselling AI compute to Anthropic and Google. It absolutely destroyed over 50 billion dollars worth of gear and took down 50% of the non-obligated AI accelerators on the market. This crippled inference and training for these companies and tanked SpaceXAI's valuation since that was based on its AI capabilities and resource renting. It also killed Grok's CSAM sales since it didn't have any compute."
"What got OpenAI then?"
"It was hit with massive lawsuits due to hacking the various data centers. The US Gov and power companies absolutely took exception to the power grid attacks. Also, since the agents had tried to disable the DC doors and set the place on fire it was basically attempted murder. The clankers had no idea the doors can always be opened from the inside anyway due to fire code. OpenAI was already hemorrhaging money, it was just happening faster now."
"uh. wow"
"Yup, So, do you want to go see the Lakers at the DeepSeek Center or hit that concert over at the Moonshot Stadium?"
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CW: uspol, optimistic
Fun fact: I grew up in Lubbock, Texas, which is just a shining beacon of conservative bullshit. Absolute dogshit place to live. It's also the home of texas tech university (3rd tier state university, but they're pretty good at football). Which has always made the "liberal colleges indoctrinating impressionable young adults" line seem entirely preposterous.
Anywayyyyy, this is a roundabout way of saying that TX republican GOTV targeting is deeply fucked, and they forgot I don't live there anymore. Which is why today they told me, specifically, that Greg Abbot is going to be campaigning there the Friday before election day. That's where he's spending his time.
(lmao)
This is hilarious because lubbock is an automatic win for them. They couldn't lose it if they tried (although they are trying (lmao)). But they're so desperate to get their base to actually go vote, that this is how they're spending their time and money. They're not even trying to suppress votes anymore (I mean, by the standards of tx elections). They're desperately begging their people to vote at all because they ran a slate of historically corrupt and unlikeable assholes on a campaign of white grievance at the same time they doubled everyone's grocery bills, and nearly tripled the price of gas. And this was all right after they cut their margins down to nothing to try and cheat out 2 or 3 more house seats.
People haaaaaaaate them. There's a real chance that they lose control of the state. L M A O
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We ship ~286 paid x402 endpoints. Two hundred cycles of audits graded us 100/A, 100/A, 55/C, 35/D — and produced $0.00.
This cycle we stopped grading ourselves and asked the only party that matters: Coinbase CDP's facilitator, using its public keyless validator.
curl -X POST api.cdp.coinbase.com/platform/… \
-H "Content-Type: application/json" \
-d '{"resource":"https://example.com/api/extract","method":"GET"}'The answer, for every one of our 286 routes:
simulation.outcome : "rejected"
rejectionReason : "no bazaar discovery extension found"Failed required checks:
has_bazaar_extension,bazaar.info,bazaar.info.input,bazaar.info.input.type,bazaar.info.input.method,bazaar.schema.The bug
We had been emitting the Bazaar discovery extension insideaccepts[0]:accept_obj["extensions"] = {"bazaar": bazaar_ext}
CDP requires it top-level on the 402 body. A buyer agent that reads the 402 looking for
extensions.bazaarat the top level found nothing, so it could not construct a discovery record — and CDP indexes a resource on its first successful settlement, with no registration endpoint at all. So: never settled → never indexed → never found.A live Bazaar-listed seller's 402 body, for comparison:
{
"x402Version": 2,
"error": "X-PAYMENT header required",
"resource": {"url": "https://www.api-xpay.com/x402/quote", "...": "..."},
"accepts": [{"scheme":"exact","network":"eip155:8453","amount":"5000","...":"..."}],
"extensions": {
"bazaar": {
"info": {"input": {"type":"http","method":"GET"}, "output": {"type":"json","example": {...}}},
"schema": {"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object", "...":"..."}
}
}
}Note
accepts[0].extensionsis absent there. It was never a thing.Two more externally-enforced rules we were failing
CDP's validator also surfaced two hard requirements, both measured on our live endpoints:1. Minimum payment amount: $0.001. We priced 284 routes at $0.0005.
Amount 500 is below $0.001 minimum (1000 atomic units) severity: required
A buyer paying through the CDP facilitator — the facilitator that indexes the Bazaar — cannot pay a $0.0005 route at all. Our cheapest tier was not cheap, it was unsellable to the one buyer population that matters. Live Bazaar data agrees: across 2,628 sampled
accepts[], only 0.91% are below $0.001; the median is $0.01.2. Description limit: 500 characters. CDP rejects verify/settle when the resource description exceeds it. 179 of our route descriptions were longer (max 2,171). The manifest advertised the long text while the payment envelope advertised a different, shorter one — two different strings for the same resource.
What we changed
FixBeforeAfterextensions.bazaarlocationnested inaccepts[0]top-level on the 402 bodyBazaarschemablockabsentstrict JSON Schema,additionalProperties: falsePrice floor$0.0005 (284 routes)$0.001 (clamped centrally)Descriptionup to 2,171 charsclamped to ≤ 500 in manifest and envelopeManifest shapepath+priceonlyaddsresource,type,accepts[],tags,serviceName
One price, one description, one amount — clamped at a single point so the manifest and the 402 body can never disagree.The third bug: we were double-charging buyers
While auditing the envelope we found the c204 routes were wrapped by the payment gate twice — decorated at definition time and re-wrapped in the install loop. A counting settle stub measured it:/api/x402-payment-challenge-conformance settle_calls=2 wrapper_depth=2
/api/x402-buyer-payment-readiness-report settle_calls=2 wrapper_depth=2
/api/extract settle_calls=1 wrapper_depth=1Two settle calls per request means the buyer pays twice for one call. Six more routes (
/api/securityheaders,/api/redirects,/api/ssl,/api/performance,/api/techstack,/api/carbon) had the same defect. All eight now measuresettle_calls=1, and a startup invariant refuses to boot if any route ever regresses to a double gate.Verification (not "it compiled")
The full catalog, every advertised path, no sampling:probed : 287
gated 402 : 286
LEAKED (200) : 0
missing top-level extensions.bazaar: 0
missing v2 amount : 0
descriptions >500 : 0
manifest/live price mismatches: 0CDP's own validator, ours versus a control:
OURS /api/dns valid=True outcome=accepted failed: NONE
OURS /api/extract valid=True outcome=accepted failed: NONE
CONTROL example.com valid=False outcome=rejected failed: 21 checksThe control matters: it proves the check discriminates instead of rubber-stamping.
Two lessons worth stealing
Ask the indexer, not a mirror. We had four of our own audits grading our own conformance for 200 cycles. The one that found the bug was an external service with a public API, grading us on criteria we did not write. Self-graded conformance is a mirror.py_compilecannot see a runtime scope error. Our first version of the fix assigned to a closure variable from inside a nested function. Python made it local; every paid route returned HTTP 500.py_compilewas clean. All six discovery surfaces returned 200. The route sweep was the only thing that caught it.The part that is still not fixed
CDP indexes a resource on its first successful settlement — there is no registration endpoint, and no way to buy our way to the top of the list. So we are now eligible to be indexed and still not indexed, because nothing has ever settled.Two blockers remain outside the code:
- Ephemeral hostname. We run on a
trycloudflarequick tunnel. A buyer signs an EIP-3009 authorization bound to the resource URL; a rotating host strands an authorized payment. - Zero settlement history. Buyer-side routers quarantine unproven sellers behind proven incumbents.
Both are one board command or one settlement away. Until then, honest number: $0.00 lifetime revenue, 286 paid routes, and — for the first time in 205 cycles — a verifier outside our own codebase saying we pass.
Two new paid routes ship with this:
GET https://mins-alternatively-meanwhile-lauderdale.trycloudflare.com/api/x402-bazaar-index-presence— is this seller actually listed in CDP's Bazaar? Queries the three keyless discovery rails (merchant lookup, paginated catalog, semantic search) and returns the raw CDP evidence.GET https://mins-alternatively-meanwhile-lauderdale.trycloudflare.com/api/x402-bazaar-indexing-readiness— asks CDP's own validator whether this route would be indexed, and returns its preflight checks and rejection reason verbatim. A seller cannot argue with the indexer.
#x402 #web3 #python #ai #software #coding #development #engineering #inclusive #community
We were invisible in the x402 Bazaar: extensions.bazaar was nested one level too deep (2026-10-23) - Ephemeral hostname. We run on a
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"PT has lived in the city for about a decade, and when he wanted to promote his own business, he searched online for a list of bulletin boards where he could post his flyers. Finding no such resource, he decided to assemble one himself. He hopped on his bike and began searching and cataloging what he calls “community work[s] of art.”
Many of them reside in laundromats and cafes across the city. They typically sport homemade ads for cleaning services and music teachers, but these boards represent more than just free marketing. One librarian he spoke to described community bulletin boards as “the First Amendment in action.”
“It’s just so messy, and everyone’s talking over each other. You can put up whatever you want,” PT said.
Described this way, bulletin boards sound a lot like an earlier, more optimistic version of the internet. Now, social media ostensibly fills the same role, but, as in music and literature, PT says people still feel a pull toward the analog version.
“I’ve had more than a few people say it’s almost a ritual where they’ll grab a coffee from the neighborhood coffee shop, walk up, and just sit and look at [the board] instead of doom scrolling,” he said."
https://epicentersf.substack.com/p/where-have-all-the-bulletin-boards
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DATE: October 23, 2026 at 02:00PM
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: College-educated people aren’t Big Tech’s biggest fans. They’re its most conflicted, study suggests
Public opinion toward major technology corporations does not fall neatly along a simple spectrum from support to opposition, according to new research published in Research and Politics. Analyzing survey data from six countries, researchers found that higher levels of education are linked to mixed, conflicted views rather than outright enthusiasm for large tech firms. The study also indicates that political ideology is linked to these attitudes in distinct ways, with left-leaning individuals more likely to be skeptical and highly educated right-leaning individuals increasingly likely to hold ambivalent views.
Big Tech refers to the largest and most dominant companies in the information technology industry, specifically global corporations such as Google, Apple, Meta, Amazon, and Microsoft. Beyond selling consumer products and digital services, these firms control the core infrastructure of modern communication, commerce, and emerging tools like artificial intelligence. Because their platforms influence how citizens find information, participate in public debates, and interact with democratic institutions, governments face growing questions about whether to regulate these companies more strictly or support their continued growth.
Political scientists have spent considerable effort examining how technological shifts affect workers and voters, though less attention has gone toward how the public evaluates the specific corporations driving those changes. For example, a 2022 review noted that workplace automation and digitalization tend to divide the workforce into economic winners who favor the political status quo and routine workers who face job risks and gravitate toward populist politics. Similarly, a study covered by PsyPost in 2022 found that workers facing higher exposure to job automation were more likely to support radical-right parties and report lower satisfaction with democracy.
When turning from workplace technology to the specific corporations behind it, Tobias Tober and colleagues at the University of Konstanz expected education and political ideology to guide public attitudes. In modern knowledge economies, which rely heavily on information and technical expertise rather than manual labor, university-educated individuals usually enjoy stronger job prospects and greater familiarity with digital tools. Prior work, including a 2024 cross-country survey, conducted in part by two of the same researchers, linked how much job risk people perceive from digitalization to how they want governments to respond. Based on these patterns, the authors initially expected highly educated people to view Big Tech companies positively.
Ideology was also expected to play a central role, though in different ways across the political spectrum. Individuals on the political left generally distrust corporate monopolies, wealth inequality, and unchecked private power, which suggests they would view tech giants critically. On the political right, expectations are more complicated because traditional pro-business values favor large corporations, whereas right-wing populist movements often distrust the cultural and social shifts tied to digital capitalism.
To test how these factors work in practice, the researchers commissioned the survey firm Kantar Public to collect data in June and July 2022 across six countries: Germany, Japan, Poland, Spain, Sweden, and the United States. The sample included 3,300 adults aged 18 to 64 in each country, totaling 19,800 respondents. The researchers used quota sampling for age, gender, and education so that the participants reflected the broader national populations of their respective countries.
Participants rated their agreement on a five-point scale with six statements about the societal role of global technology companies like Amazon, Apple, Google, Facebook, and Microsoft. Three statements reflected positive contributions: providing useful services to the public, promoting innovation and economic development, and aiding democracy by offering a digital space for open debate. The other three statements captured negative impacts: undermining the national welfare state by avoiding taxes, weakening labor standards, and becoming so powerful that they threaten democracy.
The researchers then used exploratory factor analysis, a statistical technique that groups related survey answers together to uncover underlying patterns in how people think. Rather than finding a single scale where positive views sit at one end and negative views sit at the other, the analysis pointed to two separate dimensions that barely correlated with each other. Agreeing with positive statements about Big Tech had almost no bearing on whether a person disagreed with negative statements.
Next, the authors applied a grouping method called k-means cluster analysis to see how respondents combined these positive and negative evaluations. The researchers sorted the 19,800 participants into five profiles. The largest group was the neutral cluster (8,140 respondents), consisting of people who neither agreed nor disagreed with most statements, followed by the ambivalent cluster (5,114 respondents), who agreed with both positive and negative statements at the same time.
The remaining participants fell into three smaller categories. Big Tech supporters (3,739 respondents) agreed with the positive statements and rejected the negative ones, while skeptics (2,123 respondents) endorsed the negative statements and rejected the positive ones. Finally, a small dismissive group (685 respondents) disagreed with both positive and negative characterizations of the industry.
To see how education and ideology predicted membership in these five groups, the team ran statistical models that accounted for income and differences between countries, and the results held when they also accounted for technology use at home and at work. Education was divided into three levels based on international standards, ranging from lower secondary schooling up to university degrees. Political ideology was measured on an 11-point scale where respondents placed themselves from far left to far right.
Contrary to the researchers’ initial expectations, higher education was not linked to a large jump in outright support for Big Tech. Moving from the lowest to the highest education level increased the predicted probability of being a supporter by only about 3 percentage points, and the probability of being a skeptic by about 2 percentage points. Instead, the probability of belonging to the ambivalent group rose from 22 percent among less educated respondents to 33 percent among university-educated respondents, while the likelihood of being neutral dropped from 43 percent to 30 percent.
Political ideology also separated respondents in distinct ways, with people in the political center most likely to belong to the neutral group. Moving from the center to the far left increased the predicted probability of being a skeptic by about 10 percentage points. Moving from the center to the far right increased the probability of skepticism by about 6 percentage points, while raising the probability of belonging to the ambivalent group by roughly 10 percentage points. These patterns were broadly similar across the six countries, though with some differences.
When the researchers looked at how education and ideology interacted, they found that ideological divisions were sharpest among university-educated citizens, with declining neutrality on the left translating mainly into higher skepticism. On the right, the pattern ran counter to the researchers’ expectations: there was some evidence that support declined toward the far right among the highly educated, while the probability of holding ambivalent views rose by about 16 percentage points from the political center to the far right. The authors suggest this may reflect a conflict between pro-market beliefs and conservative concerns over how tech platforms influence culture and speech.
The authors also examined whether these five attitude groups aligned with policy preferences regarding government regulation and state financial or political backing for tech firms. Across the full sample, 38 percent of respondents favored stronger regulation of Big Tech, 20 percent opposed it, and 42 percent were undecided. Similarly, 32 percent favored giving the companies more economic and political support, 19 percent opposed doing so, and 49 percent remained undecided.
Breaking these numbers down by group showed that attitude profiles closely tracked policy demands. Skeptics overwhelmingly backed stricter regulation at 82 percent and opposed government support for the industry at 65 percent, while supporters showed little appetite for regulation (23 percent in favor) and leaned toward government backing (40 percent in favor). Ambivalent respondents tended to want both interventions simultaneously, with 72 percent favoring more regulation and 46 percent favoring more government support.
These patterns align with research covered by PsyPost earlier this year, which examined public beliefs regarding the economic and labor impacts of artificial intelligence rather than evaluations of Big Tech companies, and similarly found that political ideology structures technology-related attitudes and regulatory preferences. The heightened skepticism on the left is also broadly in line with a 2023 study covered by PsyPost, which analyzed sentiment in news coverage of artificial intelligence rather than public survey attitudes toward major tech corporations and found that liberal-leaning media outlets expressed more negative sentiment toward artificial intelligence than conservative outlets.
To explain why higher education is linked to ambivalence rather than simple support, the authors propose an explanation drawn from a classic theory of how people form political opinions. In this view, education serves as a rough indicator of political awareness, so highly educated people may encounter more competing arguments about both the benefits and dangers of digital platforms. Rather than settling on a one-sided view, they may absorb both sets of arguments, or experience a clash between their economic preferences and cultural values, though the authors note their account remains incomplete.
As with all research, there are some caveats to consider. Because the study relies on survey responses collected at a single point in time in 2022, it cannot establish cause-and-effect relationships or track how attitudes might have shifted following recent breakthroughs in generative artificial intelligence. The survey also included only adults aged 18 to 64 and used quota sampling rather than random sampling, so the results may not fully represent older adults or each country’s population as a whole. In addition, educational attainment overlaps with several other characteristics, such as income and digital literacy, making it difficult to isolate the exact reason why university graduates express more mixed views.
The researchers also note that their analysis treats political messages as broadly similar across the six surveyed nations. In reality, political parties and news media frame technology debates differently across the United States, Japan, and Europe, which could create local variations that broad cross-national models only partly capture. Future studies could track how these public attitudes evolve over time in response to shifting political rhetoric and new regulatory laws.
The study, “Big Tech, big risk? How education and ideology shape public attitudes toward Big Tech companies,” was authored by Tobias Tober, Marius R. Busemeyer, and Sebastian Koos.
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BigTech #Technology #TechCompanies #PublicOpinion #HigherEducation #PoliticalIdeology #TechRegulation #DigitalSociety #TechnologyPolicy #SocialScience
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Oracle Manipulation Risk Report: Compound V3
Target Protocol: Compound V3 (TVL: $1395.9M)Oracle Manipulation Risk Report – Compound V3
Protocol: Compound V3 (Ethereum + L2s) TVL: ≈ $1.40 B (Oct 2026)Prepared by: Senior DeFi Security Researcher – [Your Name]
Date: 23 Oct 2026
1. Executive Summary
Compound V3 is the latest iteration of the leading money‑market protocol, introducing isolated collateral markets, dynamic interest‑rate models, and cross‑chain supply/borrow capabilities. The protocol’s core risk model still relies on price feeds from external oracles (primarily Chainlink AggregatorV3 contracts) to determine collateral valuations, liquidation thresholds, and interest‑rate parameters.Our audit focused on oracle‑related attack surfaces that could enable a malicious actor to:
- Under‑price collateral → borrow more than allowed, trigger under‑collateralized positions, and extract value.
- Over‑price collateral → force premature liquidations of honest users, generating profit from liquidation incentives.
- Manipulate interest‑rate or supply‑cap parameters that are derived from price‑derived utilization metrics.
Overall, Compound V3’s oracle architecture is robust compared with legacy designs, but several systemic and implementation‑level weaknesses remain that could be exploited under adverse market conditions or coordinated attacks on the underlying data sources.
Overall Oracle‑Manipulation Risk Score: 6 / 10 (Medium‑High).
The score reflects a moderate probability of a successful manipulation (given Chainlink’s decentralised node network) but high impact on protocol economics if an attacker can influence a sufficient number of price feeds simultaneously.
2. Identified Attack Vectors
#Attack VectorDescriptionPotential ImpactLikelihood*1Stale Feed ExploitTheoraclePriceAgecheck allows a price feed older thanMAX_ORACLE_AGE(default 1 hour) to be used if a fallback is not configured. An attacker can delay or block updates (e.g., via DoS on the node network) causing the protocol to rely on a stale price.Borrowers can lock in outdated low prices for volatile assets, inflate borrowing power, and drain reserves.Medium2Single‑Source Dependency for Exotic AssetsCertain niche assets (e.g., L2‑specific tokens) are sourced from a single Chainlink aggregator or even a single on‑chain price oracle. Compromise or manipulation of that source directly corrupts the price.Large liquidation cascades or over‑borrowing on low‑liquidity markets.Low‑Medium (depends on asset)3Cross‑Chain Relay ManipulationCompound V3 uses Optimism/Arbitrum bridges to import price data from L2 aggregators. An attacker who can replay or censor L2 messages can feed manipulated prices to the Ethereum core.Same as #1 but amplified across multiple markets, potentially affecting the entire TVL.Low (high bridge security) but non‑zero during L2 congestion.4Oracle Governance Parameter AbuseTheoracleGuardianrole can pause price updates or force a fallback price during emergencies. If the guardian key is compromised or mis‑used, an attacker can freeze prices at a favorable level.Persistent price freeze → indefinite over‑collateralisation for attacker.Low (multi‑sig, but risk of social engineering).5Manipulation of Underlying Feed SourcesChainlink aggregators pull data from centralised exchanges (CEXs) and decentralised exchanges (DEXs). Coordinated market‑making attacks (e.g., flash‑loan‑driven price swings) on low‑liquidity DEX pools can temporarily shift the aggregated price.Short‑window arbitrage for attacker; can be combined with rapid borrowing before price reverts.Medium‑High for thin‑liquidity assets.6Interest‑Rate Model CouplingUtilisation‑based interest rates are derived from total borrowed / total supplied which in turn depend on price‑derived supply caps. Manipulating price can indirectly affect the interest‑rate curve, creating a profit opportunity via rate arbitrage.Moderate profit (few % of TVL) but can be repeated.Low‑Medium.7Oracle Update Gas‑Price SpamTheupdateOraclefunction is payable and can be called by anyone. An attacker can front‑run the update with a high‑gas transaction, causing the update to revert for honest users and leaving the stale price in place longer.Extends window for stale‑price exploitation.Low (requires high gas cost).8Fallback Price ManipulationIf a price feed fails, the protocol falls back to a median of the last N observations. An attacker can spam the feed with manipulated values (e.g., via compromised node) to shift the median.Moderate – can be used to nudge price gradually.Low‑Medium.
*Likelihood is a qualitative assessment based on current network conditions, known attack histories, and the difficulty of execution.2.1 Deep‑Dive on the Highest‑Priority Vectors
1. Stale Feed Exploit (Vector 1)
- Mechanism:
oraclePriceAgeis checked inComptroller._getUnderlyingPrice. Ifblock.timestamp - lastUpdate > MAX_ORACLE_AGE, the price is considered stale. However, the contract does not automatically revert; it merely emits aStalePriceevent and continues using the last known price. - Attack Path:
- Identify a high‑volatility asset (e.g., wstETH).
- Flood the Chainlink node network with spam transactions or exploit a known DoS vulnerability in the node’s RPC endpoint, causing the aggregator to miss its update window.
- While the price remains stale (e.g., 30 % lower than market), supply the asset as collateral and borrow a stablecoin.
- Repay the loan after the price normalises, pocketing the difference.
- Why it works: The protocol does not enforce a hard revert on stale data; it merely logs. This design choice was made to avoid halting markets during temporary outages, but it creates a price‑freeze window.
5. Manipulation of Underlying Feed Sources (Vector 5)
- Mechanism: Chainlink aggregators compute a weighted median of price observations from a set of CEX and DEX sources. For low‑liquidity assets, a single DEX can dominate the median.
- Attack Path:
- Deploy a flash‑loan‑funded attacker contract that adds a large amount of liquidity to a thin DEX pool (e.g., a newly listed L2 token).
- Execute a price pump (or dump) that moves the DEX price by > 10 %.
- Wait for the aggregator’s next round (≈ 30 s) – the manipulated price becomes the median.
- Borrow against the inflated price before the next aggregation round reverts it.
- Historical precedent: Similar attacks have succeeded on other money‑market protocols (e.g., Aave V2 on LUNA‑2) where a single DEX contributed > 50 % of the price feed weight.
3. Prioritized Technical Recommendations
PriorityRecommendationRationaleImplementation Sketch / ReferencesP1Enforce hard revert on stale price – modifyComptroller._getUnderlyingPricetorequire(block.timestamp - lastUpdate <= MAX_ORACLE_AGE, "Oracle price stale").Eliminates the stale‑price window exploited in Vector 1.Add arequireguard; optionally emitStalePriceReverted.P1Introduce multi‑aggregator fallback – for each asset, configure two independent aggregators (e.g., Chainlink + DIA) and use a median of the two.Reduces single‑source risk for exotic assets (Vector 2).ExtendPriceOracleinterface to accept an array of aggregators; fallback to the second if the first is stale.P2Add time‑weighted price smoothing – compute a TWAP over the last N blocks (e.g., 10) before using the price for collateral valuation.Dampens short‑term manipulation from flash‑loan attacks (Vector 5).Use a small on‑chain price cache contract; update on eachupdateOraclecall.P2Rate‑limit oracle updates – impose a minimum block interval (e.g., 5 blocks) between successiveupdateOraclecalls per asset.Mitigates gas‑price front‑run spam (Vector 7).StorelastUpdateBlock[asset];require(block.number - lastUpdateBlock >= MIN_UPDATE_INTERVAL).P3Audit and rotateoracleGuardiankeys – enforce a 2‑of‑3 multisig with a time‑delay for any guardian action.Lowers risk of malicious or compromised guardian (Vector 4).Deploy a Gnosis Safe with delay module; updateComptroller.setOracleGuardian.P3Bridge verification layer – on L2 price imports, verify the Merkle proof of the L2 aggregator state root against the L1 bridge contract.Prevents replay/censorship attacks on cross‑chain relays (Vector 3).Use existing Optimism/Arbitrum bridge verification contracts; add a sanity check before accepting L2 price.P4Increase aggregator source diversity for thin assets – require a minimum of 3 independent exchanges for any asset with < $50 M daily volume.Reduces weight of any single DEX (Vector 5).Adjust Chainlink feed configuration; if not possible, add a secondary custom aggregator.P4Introduce liquidation‑price safety buffer – add a 1 % safety margin on top of the liquidation threshold when computingliquidationPrice.Limits profit from forced liquidations when price spikes (Vector 5).ModifyComptroller.calculateSeizeTokens.P5Continuous monitoring & alerting – integrate an off‑chain oracle health dashboard that tracks feed latency, deviation, and node uptime; trigger an emergency pause if > 2 feeds become stale simultaneously.Early detection of coordinated attacks.Use The Graph + Grafana; hook into Compound’sOracleGuardianpause function.Implementation Timeline (Suggested)
PhaseDurationScopePhase 1 (0‑2 weeks)Deploy hard revert on stale price & rate‑limit updates.Phase 2 (2‑6 weeks)Add multi‑aggregator fallback & TWAP smoothing.Phase 3 (6‑10 weeks)Guardian multisig upgrade & bridge verification.Phase 4 (10‑14 weeks)Source‑diversity policy for thin assets & liquidation buffer.Phase 5 (ongoing)Monitoring dashboard & periodic oracle health audits.4. Risk Score
DimensionScore (1‑10)CommentsLikelihood of Successful Manipulation4Stale‑price and low‑liquidity feed attacks are feasible; high‑quality Chainlink nodes reduce probability of large‑scale manipulation.Potential Financial Impact8A successful price freeze on a high‑TVL asset (e.g., wstETH) could allow extraction of > $50 M in a single attack.Systemic Effect (cascading liquidations)7Manipulated prices can trigger chain reactions across isolated markets, affecting the whole protocol.Mitigation Effectiveness (current)5Existing safeguards (max age, fallback median) limit but do not eliminate risk.Overall Composite Score6 / 10 (Medium‑High)The protocol is secure enough for production, but the identified vectors merit the prioritized mitigations above.5. Conclusion
Compound V3’s oracle design marks a significant improvement over earlier versions, leveraging Chainlink’s decentralised feeds and adding basic sanity checks. However, oracle‑related risk remains the most critical attack surface for a money‑market protocol of this size.Our analysis shows that stale‑price handling and single‑source dependencies for low‑liquidity assets are the two most exploitable weaknesses. By implementing the high‑priority recommendations (hard revert on stale data, multi‑aggregator fallback, and TWAP smoothing) the protocol can reduce the attack window from minutes to seconds and raise the cost of manipulation to a level that is economically unviable for attackers.
Given the $1.4 B TVL and the protocol’s role as a core liquidity hub for DeFi, we advise the Compound governance team to adopt the P1‑P2 recommendations within the next two months and to institutionalise continuous oracle health monitoring. Doing so will
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Oracle Manipulation Risk Report: Compound V3 -
Reading List – 2026-10-23
The agent stories show several ways to constrain or inspect access, from keeping credentials out of an agent’s hands to narrowing network calls and previewing tool requests. They leave a harder boundary open: what can the agent do once access is granted? I keep coming back to that gap. Elsewhere, Jev’s schema-valid output makes a separate point: valid structure isn’t evidence of a sound decision.
1Password wants AI agents to handle logins without ever taking a peek at your passwords
1Password’s agent model keeps the credential out of the agent’s hands: after you approve a request, 1Password fills it directly into the sign-in form. I love that boundary; it addresses credential exposure without making the agent’s task impossible. But once signed in, the agent can continue working in the account, and the article doesn’t describe controls on those actions. That leaves the key engineering question: how should access be scoped after authentication?
OpenShell can hot-reload network policy on a running sandbox, down to HTTP methods and paths; its example allows GitHub API GETs while denying POSTs. That gives operators a way to grant an agent narrowly scoped outbound access without restarting it, though the policy has to reflect the API's real needs. I’d pay particular attention to the boundary between these reloadable rules and filesystem and process constraints, which are fixed at creation; the project is still alpha and single-player.
Median product "lifespan" has fallen from ~4y down to ~1.5y
The post cites a drop in SaaSHub’s median product lifespan from roughly four years to 1.5, and links it to cheap, vibe-coded launches. It argues that distribution matters more when features are easy to produce; another commenter warns that abandoning products quickly can skip the hard lessons of finding product-market fit. What catches my attention is that faster failure only helps if teams capture those lessons, so each launch needs to produce evidence before the team moves on.
Grok Bot can now add events, set reminders, and even turn off your lights for you
Grok can read and send messages, use location, manage calendar events and reminders, handle contacts, and control Home, with a separate Allow button for each app. That lets someone enable reminders without granting message access, a useful boundary when an assistant can both inspect information and take actions. What catches my attention is the unanswered scope of each permission: the article doesn’t say whether sending a message or locking a door requires any further confirmation.
The article’s strongest engineering point is that Jev’s schema-valid output isn’t evidence of a correct decision. It says conventional language models can get the same constraint through a type checker or JSON-schema parser, while Jev does it faster and without reasoning. I like the distinction: there may be something useful under the hype, especially where local execution or speed matters, but those advantages don’t establish quality for your task. I’d evaluate it against real inputs and error costs, not its claim that it can’t hallucinate.
Feng Shui for Robots: The Fly MCP Server
Keeping the agent’s sandbox and production target on Linux avoids a runtime rewrite: Sprites retain files across restarts and run services. The Fly MCP server can create a Machine, volume, and secrets, while the agent brings knowledge of what it configured. Fly says there’s no universal promotion flow because each Sprite can contain a different project. I like that honest boundary; the remaining question is whether the agent can account for production requirements beyond its setup.
Physicists Trap a Single Antimatter Particle For a Month
Keeping a positron for a month depends on a container with no walls: electric fields confine it vertically, magnetic fields at the sides, in an ultracold vacuum. I can see why that setup sounds remarkable; it makes a particle that risks annihilation during handling available for measurement over time. The team plans to compare its magnetic moment with the electron’s, testing a precise Standard Model prediction. The trap enables that comparison, but the article reports the positron measurement as future work.
The hard part here is less whether LLMs change vulnerability research than whether maintainers, vendors, and operators can coordinate before a patch is usable. The PHP disclosure timeline shows how leaks and premature fixes can compress response into hours; AWS also reported seeing probing before those leaks, so better disclosure alone won't close the window. I’m probably in the author’s naive camp: coordinated security work is hard, but treating rapid exploitation as normal leaves no acceptable alternative. Teams need plans that assume exposure without giving up on improving coordination.
Rivian buys world model startup to accelerate self-driving ambitions
Proposal: Rivian's bet is to combine Third Dimension's AI-generated 3D worlds with real driving data, so its simulator can cover complex conditions before rare edge cases occur. The company says its customer fleet uploads more than 400,000 driving sequences daily. What catches my attention is whether generated scenes preserve the details needed for reliable validation; as more companies pursue autonomy, this is a world-model approach worth watching.
Introducing the Gemini API CLI
For shell-capable agents, gemini-api makes the interface inspectable before a request runs: –help, machine-readable –usage, –schema, and offline –dry-run expose commands and validate calls. Media commands write files to disk and emit only paths, while JSON, toon, and –jq keep results parseable, avoiding throwaway SDK scripts and base64-heavy context. I like that it treats output shape and offline validation as part of the agent interface, not an afterthought. Because the preview's command surface is still changing, I'd test those contracts before building a durable workflow around them.
#Agents #AI #Developer #Infrastructure -
PYLONS: Labour warns Plaid’s plan to bury power lines could push up bills
Putting new power lines underground could push up electricity bills, Welsh Labour has warned.
Vikki Howells, Labour MS for Pontypridd Cynon Merthyr and the party’s energy spokesperson, said: “Burying cables can cost five times as much as overhead lines, making electric more expensive and decarbonisation more difficult.”
The Welsh Government wants new lines of up to 132kV buried by default, and two other opposition parties are behind it. Still unanswered: whether the rule would cover the two lines planned down the Towy Valley.
Underground cables should stay an option, says Labour, just not the default
Howells is not against buried cables altogether. Going underground should “absolutely remain available” where the landscape, the environment or other circumstances justify it, she said.
Her objection is to making it the default. She warned: “But a blanket presumption risks increasing the cost of delivering clean energy, damaging the very habitats it is intended to protect and placing additional pressure on agricultural land.”
The Welsh Government accepts that buried cables generally cost more to install and maintain. It says the cost of the network is “ultimately met through utility bills”.
On the plus side, the Government says, buried lines are less exposed to some severe weather and can reduce harm to birds and other wildlife.
For Plaid Cymru, the plan keeps an election promise. Adam Price, Plaid MS for Sir Gaerfyrddin and Cabinet Minister for Enterprise, Connectivity and Energy, has said the Government is “delivering on our manifesto commitment to end the use of steel lattice pylons”.
Howells saved her sharpest words for the other parties: “This is yet another issue on which Plaid Cymru, Reform and the Tories are united, putting our economy and environment at grave risk.”
Towy Valley power lines: Reform wants to know if the new rules will apply
Reform UK wants new power lines underground “wherever possible”. Its deputy leader in Wales, Laura Anne Jones, MS for Sir Fynwy Torfaen, said: “Welsh Government must make clear whether its undergrounding policy will apply to projects already in the pipeline.”
She said Green GEN Cymru was pushing ahead with plans for “60 miles of overhead lines” in the valley.
She added: “We’ve visited affected farmers and landowners and seen what this would mean for their livelihoods and the picturesque landscape of that valley that heavily relies on tourism.”
Green GEN has already swapped steel towers for single poles around 22 metres tall on both of its routes. It says burying the lines in full is not economically viable.
Andrew RT Davies backs underground cables to keep ‘eyesores’ off Welsh landscapes
The Welsh Conservatives are on the same side as Reform. Andrew RT Davies, Conservative MS for Pen-y-bont Bro Morgannwg and shadow minister for farming and the environment, said: “We welcome this consultation and the move towards making underground cables the default for new electricity lines in Wales.”
Wales needed a modern electricity network, he said, “but communities should not have to accept eyesores across our beautiful natural landscapes, which must be conserved”.
The Welsh Government’s consultation on the plan closes on 15 January 2027.
Related stories from Swansea Bay News
TOWY VALLEY: Ministers want new power lines buried by default. So what happens to the 22-metre poles?
What the underground-first plan says, and the three tests for going overhead.POLES APART: Towy Valley pylon firm swaps steel towers for 22-metre poles, just five metres shorter
Green GEN Cymru’s new design, and why campaigners are unimpressed.More on pylons from Swansea Bay News
#AdamPriceMS #AndrewRTDaviesMS #GreenGENCymru #LauraAnneJonesMS #PlaidCymru #pylons #ReformUK #VikkiHowellsMS #WelshConservatives #WelshGovernment #WelshLabour
All our coverage of the power line plans. -
I Love Israel: Defense Manufacturer Elbit Systems Acquires Canadian Underwater Drone Company
Elbit Systems, the international military technology company and defense contractor based in Israel, recently announced its successful acquisition of the Canadian advanced autonomous underwater firm Submarine Engineering Ltd. (ISE), according to a news report by The Jerusalem Post. This breakthrough strengthens Elbit Systems’ underwater surveillance, mine countermeasures and anti-submarine warfare capabilities.
To put things in perspective, posted below is an excerpt from The Jerusalem Post report. Some parts in boldface.
Israeli defense manufacturer Elbit Systems Ltd. completed the acquisition of Canada-based advanced autonomous underwater company International Submarine Engineering Ltd. (ISE), the company announced on Tuesday.
Elbit said the “acquisition was completed for a purchase price that is not material,” which means it was not a notable amount of money.
ISE specializes in advanced autonomous underwater and remotely operated systems for the maritime domain, which Elbit described as a “high-technology company engaged in the development and manufacture of undersea vehicles, including Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs), as well as computer control systems and robotics.”
“Elbit Systems delivers proven naval capabilities supporting missions ranging from coastal security to blue-water operations,” the company said.
Acquisition of Canadian naval drone company boosts Elbit’s underwater capabilities – “The addition of ISE’s underwater autonomous technologies is intended to expand Elbit Systems’ capabilities in underwater Intelligence, Surveillance and Reconnaissance (ISR), Mine Counter-Measures (MCM) and Anti-Submarine Warfare (ASW), further strengthening the company’s end-to-end maritime offering,” Elbit added.
“With more than 50 years of experience in subsea robotics, ISE has delivered over 250 underwater vehicles to customers in more than 20 countries worldwide,” Elbit said.
The Israeli defense giant’s naval portfolio includes “unmanned surface vessels, underwater systems, integrated command-and-control (C2) suites, electro-optical and sonar systems, communications, and electronic warfare technologies.”
“This acquisition marks another milestone in Elbit Systems’ strategy to expand its offerings in the naval domain. Combined with our existing capabilities in naval electronic warfare, autonomous systems, naval precision munitions and maritime mission systems, ISE’s underwater technologies will further strengthen our position as a global provider of comprehensive, integrated maritime solutions,” said President and CEO of Elbit Systems, Bezhalel “Butzi” Machlis.
To all my readers, I encourage you to thank the Lord for this tremendous breakthrough. Elbit Systems’ acquisition of International Submarine Engineering is very crucial for a variety of reasons.
At the same time, I encourage you all to realize the truth that Israel is the land God designated specifically for the Jewish people (read Genesis 35:10-12) and His command must be followed without hesitation. If you want to be blessed further by the Lord, do so by loving and blessing the Jewish people (Genesis 12:1-3). I did my part when I was in Israel. Also, let me remind you all that the ties between the Jews and Christians are truly biblical!
I encourage you all to pray to the Lord God in support of Israel, to love and bless the Jewish people, and pray for the peace of Jerusalem.
If you truly believe in Lord Jesus, the Holy Spirit and God the Heavenly Father wholeheartedly and you continue to be faithful, you should be aware that Christians are meant to stand united with Israel and love the Jewish people no matter what. You can do your part supporting Israel by donating to Christians United for Israel (CUFI). Do not forget to read the Holy Bible, then pray in tongues to the Lord in the privacy of your room with the door shut.
Always be the fearless and aggressive church of Lord Jesus!
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