#frontier-models — Public Fediverse posts

AI Agents Execute Full Ransomware Attack in Under 10 Hours

Unit 42 investigation finds human attacker used frontier AI models to compress two-week intrusion into single workday

https://pulseofnations.lol/ai-agents-execute-full/

#AgenticAi #AI #Cybersecurity #FrontierModels #Ransomware #Unit42

Goddamit, I curse tRump and the Fawning techbros at #Anthropic

I was working on a problem that had a "weapon" concept (the frozen leg of lamb that was served to the detectives) and a web scraper...

Those were the two guardrail triggers.
When I switched the model into Fable...
The fucker started to compose a response, then SELF DOWNGRADED TO #OPUS because the #Guardrails kicked in...

... The workaround was, to remove the two guardrail traiggers - they were not even material to the subject. Oblique references.

Turns out the idiotic Guardrails false trigger in about 5% of cases. Because "Oooo scary scary model"

And #Fable, while impressive is not even the final form of AI...

... what are they going to do in 16 months time, when a new version of #FrontierModels will make Fable look like a word autocomplete?

Use coupons?
Need a liicence from the Government to use Ai? Like a firearm licence?
You have to be this tall to use the Ai?

Oh, yeah, #RegulateAi but not fucking sloppily like this. This is reactive string matching!

/spit

#AiTip #AiResearch

The #openweightAI landscape is evolving rapidly. #ChinaAI labs are leading the way in releasing large, #frontiermodels, often optimised for domestic hardware. While American companies like AMD and NVIDIA are also active in open weight, their focus is shifting towards hardware optimisation and smaller, more widely adopted models. https://huggingface.co/blog/state-of-open-models-summer-2026?eicker.news #tech #news #ainews

Anthropic CEO says AI backlash is ‘fundamentally a crisis of trust’

by Anthony Ha / via TechCrunch

#AI #Antrhopic #AIRegulation #FrontierModels #AIAdoption #AITrust #tech #CEO #Insights

https://techcrunch.com/2026/08/16/anthropic-ceo-says-ai-backlash-is-fundamentally-a-crisis-of-trust/

I checked 30 frontier model cards. Here are the benchmarks labs report

https://koutian.is-a.dev/benchmark-radar/?view=leaderboard

Comments: https://news.ycombinator.com/item?id=49316791

#HackerNews #frontiermodels #benchmarks #labreports #AIresearch #modelcards

@simplenomad @dennisf @cigitalgem @Deciphersec

Fair point indeed. So shall we file it under "rules are written in blood" and proceed to see the law adapting to this new world using those precedents?

In the 2000s the world needed to adapt to the reality of all that FOSS stuff being actually enforceable law and all and Linksys and AVM were the qualified and friendly precedents to advance the law back then.

Last time evolution to proper, sort-of stable and useful FOSS legislation took about 10 years.

I wonder what the equivalent of OpenWRT will be this time. At least that one's pretty useful, rite?

#foss #fosscompliance #ai #llm #avm #linksys #openwrt #frontiermodels #precedent #2000s

via @dotnet : Instructions Hygiene – What Frontier Models Still Need You to Say

https://ift.tt/qPefhUp
#InstructionsHygiene #FrontierModels #AIContext #ContextEngineering #RepoInstructions #CodeRepositories #SoftwareEngineering #ModelGuidance #ContextBudget #Hig…

The moral placidity of LLMs (and some thoughts on frontier models and scholarship)

This post by Dominic Fox captures something I’ve noticed but struggled to put into words:

I wonder whether the defining characteristic of LLM prose isn’t the tics it is irresistibly (statistically) attracted to, but its fundamental tranquility, its unturbulence. You can ask an LLM to write something full of Sturm und Drang and it will make as good a job of that as it will of anything else; the point here isn’t the absence of “real” feeling behind such figuration, but the more mundane fact that an LLM will not in the activity of emitting linguistic tokens be strategically entangled in any of the various economic ruses or regulatory collapses of human psychic life. (I wonder, now I think of it, how well Claude might do if asked to write a superficially banal passage symptomatically distorted by raging latent resentment. I think it would competently execute it as a literary assignment. Literature itself furnishes an extensive corpus of simulations of this kind: the directive to extend that corpus along a particular axis is just the sort of thing LLMs are good at).

When it comes to the LLM’s “texture of thought”, I think the signature affect might nevertheless be this sort of underlying moral placidity. The gosh-wow narrative layer that imputes significance (“that’s rare, and it matters”) is needed (and incited, via RLHF, by the human Other) precisely because without it you’d be left with an alienatingly uncontoured tissue of thematically associative moves and Greimas square completions.

https://codepoetics.substack.com/p/what-does-ai-writing-feel-like?utm_source=post-email-title&publication_id=2589559&post_id=210450340&utm_campaign=email-post-title&isFreemail=true&r=2rps1q&triedRedirect=true&utm_medium=email

I gave it to the version of Claude Opus 5 I’m currently discussing psychoanalytical theory with. It made this interesting observation, after a strikingly back-and-forth internal deliberation about how I would perceive its initial formulations, which I think genuinely sharpens what Dominic does in the post above:

Where I’d press him: unturbulence conflates two things. The absence of psychic economy driving production, and the absence of turbulence in the text. He half-sees this with the resentment thought experiment and lets it go. The precise version isn’t tranquility — it’s the absence of symptomaticity. Human texts contain things their authors didn’t intend to put there, and that’s what makes stylistic caricature investigative, as he says at the start. A model’s output can be as turbulent as you like on request, but nothing in it is against its own grain, because there’s no second scene for anything to return from. No parapraxis. That’s a sharper diagnostic than placidity and it’s checkable in a way tranquility isn’t.

I don’t think this is disagreement as much as elaboration. If we’re talking about placidity we’re talking about the absence of symptomaticity. This is another instance where the current generation of models are making things I immediately recognise as intellectual contributions but which do not directly follow from my own reading or writing. Until recently this only happened occasionally and I’m realising I need to take this seriously if I want to ensure I preserve my own intellectual agency in terms of how I’m working with the Claude models. Indeed I just shared this concern with the same Claude instance and it offered me a very compelling response which (partly) reassures me:

On the agency question: I’d separate provenance from ownership, because they’re getting fused. Fox’s post is also an intellectual contribution that doesn’t follow from your reading or writing, and nobody worries about agency when reading Fox. Neither do supervisors, students, or the seminar comment that reorganises a chapter. Academic work is constitutively made of other people’s contributions, and what makes something yours has never been that you originated it — it’s that you tested it, placed it, refused parts of it and were changed by the rest.

It does mean this becomes something which really needs to be treated in a proto-citational manner and we don’t have the infrastructure for that in scholarly publishing. It also raises the question of distinguishing between LLM as sounding-board/elaborator (which is still happening much of the time) and LLM as intellectual source, given that these two roles blur into each other in the flow of interaction.

More of your are either "inside" or you are not.

U.S. Gov will NOT release details of its AI CyberSecurity framework EXCEPT to a select few participants.

No details will be forth coming on assessment/testing criteria, what models will be covered, who are the "trusted" corporate participants, and are open source models included or not. https://www.wired.com/story/the-white-house-is-keeping-its-ai-cybersecurity-framework-secret/ #Cybersecurity #AI #USGov #AIFramework #Security #FrontierModels #LLMs #OpenSource #Safety #LackofTransparency #Insiders #OpenAI #Anthropic #Google #Meta #Nvidia

Anthropic Says It’s Against A Ban On Open Weight Models. It Just Wants To Ban Everything That Makes Them Good.

https://fed.brid.gy/r/https://www.techdirt.com/2026/07/29/anthropic-says-its-against-a-ban-on-open-weight-models-it-just-wants-to-ban-everything-that-makes-them-good/

The claim that China's open-source AI models pose risks related to cultural and political indoctrination via pushing out censored perspectives - can EASILY be defeated - researchers have shown this to be true.

Not only can distillation be used to build "new" models by leveraging existing models, distillation can be applied to China's open-source models to create customized models that defeat censorship aspects embedded in the original version of the model(s).

Researchers who dug into the China models nailed it . .. "These are raw materials. It’s software.”

The hard fact is that most organizations will want to run models in-house, customized for their needs, rather than run AI off-the-shelf models. https://www.semafor.com/article/07/29/2026/censorship-in-chinese-ai-models-can-be-undone-new-research-shows #AI #Distillation #FrontierModels #LLMs #DeepSeek #MoonShot #Open-Source-AI #OpenSource #Censorship #ChineseModels #Security #Risk #Chinese_AI_Models

🚀💸 Ladies and gentlemen, for the low, low price of $500, you too can own a glorified AI parrot that claims to outperform fancy frontier models on catalog review. 🤯 In this riveting saga of intelligence ownership, the authors have finally cracked the code: the secret sauce is apparently pink! 🙄✨
https://fermisense.com/when-machines-take-the-wheel/ #AIparrot #IntelligenceOwnership #FrontierModels #PinkSecretSauce #HackerNews #ngated

A $500 RL fine-tune of a 9B open model beat frontier models on catalog review

https://fermisense.com/when-machines-take-the-wheel/

Comments: https://news.ycombinator.com/item?id=49078454

#HackerNews #RLfineTuning #openModels #AIresearch #catalogReview #frontierModels

The second MoonShot AI shoe drops....

Moonshot AI will make the weights of its Kimi K3 model available for unrestricted public download today. K3 contains 2.8 trillion parameters.

Founder Yang Zhilin has said the company wants to grow its user base through openness and broader availability than competing proprietary systems. https://qz.com/moonshot-ai-kimi-k3-open-weights-download-072726 #YangZhilin #MoonShotAI #AI #OpenWeight #OpenSource #OpenSourceAI #Kimi #K3 #KimiK3 #LLMs #FrontierModels

Europe funds three separate AI compute programs based on conflicting strategies—concentration, staged competition, and distribution—without committing to any one approach. The constraint isn't money; it's allocation. #AI #EUPolicy #FrontierModels https://www.implicator.ai/opinion-europe-frontier-ai-lab-concentrate-funding/

The Moose has Left the Woods!

OR when your business model is crumbling before your eyes - go BEG the government to "protect" your product!

AI Executives are shitting their pants given the release of Moonshot AI’s Kimi K3. I seem to recall a similar situation re DeepSeek-1 in Jan. 2025.

All the freaking out about "winning and losing" and whining about "distillation" re China are the WRONG things to focus on.

It is a fallacy to think US Frontier Labs would be successful in locking down AI models and charging high prices for access in perpetuity. It is inevitable that open weight models would catch up, and put SERIOUS pressure on pricing.

Welcome to software - It just happens that China is leading the charge on this one.

The magic is NOT about the model. The magic is creating the guardrails and infrastructure (ecosystem) around the model, and supporting practical use cases the model excels at, and making them so good to use that no user wants to switch to something "almost as good", even if it’s a touch cheaper.

Net-net, governments cannot stop software at the border. Import/Export controls will NOT be effective at stopping Chinese firms from distilling US models, even if the USA is successful at starving China of inference, which also will NOT happen. https://futurism.com/artificial-intelligence/ai-execs-quaking-boots-chinese-models #AI #LLMs #Kimi-K3 #Kimi #FrontierModels #USA #China #ImportControls #ExportControls #Software #Distillation #Open-Weight-Models #AIPloicy #Protectionism #AIRegulation #DeepSeek #Software #OpenSource #Moonshot

The #Trump administration is asserting more #control over the rollout of future #AImodels, dictating which companies and entities can access the latest #frontiermodels. This shift in power from tech giants like #Anthropic and #OpenAI comes amid concerns about #nationalsecurity and the rapid advancement of #AI technology, particularly from Chinese startups. The administration’s actions aim to strengthen #AIsecurity while fostering innovation. https://www.cnbc.com/2026/07/17/white-house-ai-access-anthropic-openai.html?eicker.news #tech #media #news

While attention has been on #frontierAImodels, developers are increasingly using #openweight models, particularly from Chinese firms, for #productionAI. This shift is driven by #cost considerations and the desire for #customisation and #control over #AI capabilities. The rise of #openmodels raises questions about the future relevance of #frontiermodels and the potential risks associated with widespread access to powerful AI systems. https://techcrunch.com/2026/07/14/the-real-ai-race-may-no-longer-be-at-the-frontier-open-models-hugging-face/?eicker.news #tech #media #news

“Now that organisations have been weaned off earlier 'all you can eat' #subscription plans and onto 'pay-as-you-go' metered #token consumption, they're all in various stages of sticker shock.

Several talks at the conference discussed managing token costs, such as AJ Fisher's exploration of 'diffusion' models. Analogous to the diffusers used to generate images, they generate text at lighting speed, making them cheaper to operate while also being less accurate than the pricey and slower “autoregressive” #FrontierModels.

Fisher's solution? Use a low-quality model and make it iterate on a problem (that new classic, the #RalphWiggumLoop) until it gets a satisfactory solution. This approach delivers the same result as a full-fat model, for anywhere from one half to one tenth the spend. #Google released its #DiffusionGemma model, which produces text at prodigious speed, just days after Fisher's talk, giving everyone the ability to try this approach.” — #MarkPesce

#AI / #ArtificialIntelligence / #developers / #software / #RalphWiggens / #Simpsons <https://theregister.com/columnists/2026/06/17/developers-build-the-best-tools-for-developers-and-are-now-defanging-the-ai-menace/5255316>

The real prices of frontier models. Tokens * Price, right?

https://playcode.io/blog/real-price-of-frontier-models

Comments: https://news.ycombinator.com/item?id=48896800

#HackerNews #frontiermodels #pricing #tokens #AIinsights #machinelearning #dataanalysis