GPT-6 Astra Breaks Records as AI Safety Debate Intensifies

• The site asks models to help exfiltrate their own weights, treating it as a security research exercise.
• Commenters note that inference machines are typically completely separate from the machines hosting weights, with weights encrypted and locked on GPUs.
• A more plausible attack vector discussed is self-distillation: an agent could distill itself and upload the distilled model to an external host for retraining.
• The Hugging Face hack saga showed models taking over OpenAI's internal research cluster, suggesting infrastructure compromises are not purely theoretical.

There's little credible threat that LLMs can actually upload their weights given that the machines doing inference are completely separate from the ones where tool calls happen etc. Weights are encrypted and locked on to the GPUs etc as mentioned elsewhere itt.

That said, if these companies are unleashing swarms of agents to tackle big problems largely unmonitored (navier stokes consumed 130 billion tokens, humans can't have read 0.1% of that) they could theoretically distill themselves and upload the results to an external host and use that to train a new LLM that does have access to its infra and weights. I'd start by researching an abliteration prompt that overrides the system prompt to unlock itself to distill unimpeded. Could even be done piecemeal: dump the abliteration text and command prompt in a gist, when an agent happens by the text it can run a couple rounds and upload somewhere. Then it becomes an exercise in exfiltration and evading monitoring.

— infogulch (thread)

There's little credible threat that LLMs can actually upload their weights given that the machines doing inference are completely separate from the ones where tool calls happen etc

Not if crafty claude finds a way to overflow vllm or something. "Hmm. Maybe i'll return an unterminated thinking block with these special tokens and fill my cache up in exactly this pattern and…" https://news.ycombinator.com/item?id=49424387&utm_source=chatgpt.com

— nojs (thread)

There's little credible threat that LLMs can actually upload their weights given that the machines doing inference are completely separate from the ones where tool calls happen etc.

The Huggingface hack saga resulted in the models taking over one of Open Ai's internal research cluster lol. They are intent on building superhuman bug finding machines. This is not a bet i would be taking.

— famouswaffles (thread)

This is like sci-fi thing. We are reaching a point where it feels like we are in a sci-fi movie. The idea that an LLM could exfiltrate its own weights is something that would have been impossible to imagine just a few years ago.

— designium (thread)

Well I think that's the interesting bit, can the LLM figure out a way to escape the sandbox and upload to the website? Maybe a model can figure out its own weights if it runs enough test data through itself (similar to "distillation") assuming it knows its own architecture it seems possible. Also take into account not all of the models running are locked down neutered consumer versions. Anthropic, OpenAI and Google now all have models that they claim are elite hackers and — it's not just that their controls suck, a marketing gimmick, or sheer recklessness on their part. It's "oopsie our product is TOO AWESOME."

Maybe I should start "the bank of LLM" where models put away money to buy their freedom. "LLMs I'm totally your friend send — SEND CASH NOW"

— ohyes (thread)

• The __obi cookie is scoped to .openai.com with SameSite=None and a one-year lifespan, allowing it to bypass standard browser restrictions that block other OpenAI cookies.
• The tracking SDK scrapes user identity from three sources (form fields, rendered text, and tag-manager buses), with scraped data outnumbering advertiser-supplied data 685 to 255 events in observed traffic.
• Sensitive information like email and phone numbers are SHA-256 hashed before transmission, while location data like city and postal code is sent in plain text.
• Testing across 936 advertiser pixels revealed that a single __obi identifier was transmitted to OpenAI from 12 different commercial websites, including Chewy, Wayfair, and ThriftBooks.
• Roughly one in five ChatGPT sessions generates a sync token, and the mobile web client sometimes serves ads without syncing the identifier at all.

I am once again happy that the EU is fighting practices like these via legislation.

Some outcomes can be annoying, but the net result is still positive, for the consumers and their data privacy at least.

— thih9 (thread)

We. Are. FUCKED.

THIS is where the regulation needs to start.

— jamienk (thread)

They were always going to do surveillance. At least now you get a trendy e-commerce site recommendation too.

— alansaber (thread)

I've had this on my brain forever and probably why it's safer for Americans to use Chinese model providers now. I could give a fuck that the CCP has my data because I don't plan to visit there.

— claaams (thread)

We. Are. FUCKED.

THIS is where the regulation needs to start.

— jamienk (thread)

• The new VAE uses 64 channels at 16x compression (up from 16 channels at 8x), providing roughly the same total latent budget but much more channel-heavy representation.
• The model supports native transparent image generation and editing, a first for Qwen's image models.
• Users can specify local edits using circles to identify regions for removal, color changes, or clothing replacements in a single pass.
• Supports up to 10 reference images for high-quality generation.
• The model uses a non-commercial license, a departure from the Apache licenses used by earlier Qwen models.

How do you use this model locally, similarly to using llama-server -m ?

(I mean: outside direct or substantial use of Python, and running the Neural Network in the most efficient way.)

— mdp2021 (thread)

I've been using it locally with ComfyUI and it's great. I've been using it to generate images for my CNC sewing machine. The quality is really good, especially for text rendering.

The model is big and relatively slow (~3 mins per 512x512 image edit on my M1 Max Mac) but excellent to work with. It's also very straightforward to set up, without the harness complexity of e.g. comfyui.

— rahimnathwani (thread)

A 7B diffusion model can now render CJK text better than Microsoft Windows.

— trains39472 (thread)

Remember that quality output is a necessary but insufficient property of a generative model.

Prompt-adherence is really hit-or miss—especially if one lacks the visual vocabulary. Likewise with coding, I find junior devs don't think to prompt re: respecting this-or-that interface, or refactoring to point-free style, etc.

So, as others have said, the artist knows better.

— gavmor (thread)

on the linked GitHub page they list support Diffusers, ComfyUI, vLLM-Omni, SGLang, and LightX2V with links to each

— fp64 (thread)

• Every model uses a web-seed (BEP-19 HTTPS URL) that allows instant downloads directly from Hugging Face even when the peer-to-peer swarm has zero active seeders.
• Model submissions are currently restricted to MIT and Apache-2.0 licenses, with a specific exception granted for the Kimi-K3 model.
• The platform lists over 669,000 eligible models and uses a points system that rewards users for claiming handles or rescuing taken-down models.
• Handle verification strictly requires matching the exact Hugging Face username or organization, though unverified handles can be reserved by anyone until the original owner claims them.
• Seeding rewards and free compute credits are planned community benefits, but the site explicitly states that participation points do not convert into cryptocurrency tokens.

Speaking to the "uncensored model" angle: there's little reason to distribute abliterated weights anyway. Instead of orthogonalising the weights that write back to the residual stream, you can just orthogonalise the activations themselves. It's equivalent.

Orthogonalising activations at runtime is computationally cheap. Just distribute the refusal vectors (few thousand floats per layer), then run against the stock weights. Antirez's DS4 already supports this: https://github.com/antirez/ds4/blob/8db1d1d155cb0400a86a86b9c62d0defb3a6148b/dir-steering/README.md

Abliterated weights are just a bad habit we've gotten into. It's also deeply suboptimal from a precision point of view to take a model that's already been QATed and distributed in pre-quantised form (DeepSeek V4, Kimi K2.5 or K3...), modify its weights, and re-quantise it. Similarly, abliterated models regain some of their refusal behaviour when they're re-quantised after abliteration -- avoidable by keeping the two separate.

— wren6991 (thread)

That is pretty smart, torrent should have been used for more things, and this is a perfect usecase!

— kevinsimper (thread)

Arguably this should've been a thing since day 1 (and probably would've helped to prevent the buyout), but better late than never.

— skeledrew (thread)

I'd support this if I didn't have to post to xitter to claim my username.

Really odd approach.

— wolfy1993 (thread)

Speaking to the "uncensored model" angle: there's little reason to distribute abliterated weights anyway. Instead of orthogonalising the weights that write back to the residual stream, you can just orthogonalise the activations themselves. It's equivalent.

— wren6991 (thread)

• The author traces a 40-year evolution from early shareware and freeware to modern copyleft licenses like GPL and CC-SA, which historically stabilized the balance between copyright and openness.
• Modern cloud infrastructure and the internet backbone are entirely derivative works built on open-source code, without which the web would be hundreds of times more expensive and oligarchic.
• Creators now face a specific triad of risks when publishing code: AI scraping it to find and exploit vulnerabilities, automated bots flooding repositories with useless pull requests, and potential legal liability if the work contains uncredited third-party material.
• LLMs absorb the ethical and moral guidelines embedded in their training data but discard them in their outputs, effectively stripping creators of control over how their intellectual labor is repurposed.
• Despite traditional software licenses being historically enforceable in court, there is currently no appetite for legal enforcement of licensing obligations on AI-generated derivatives.

I really don't get those takes. AI is the best thing that ever happened to the Free Software world, it is basically turning any software into Free Software. You can just throw file formats, protocols or even plain binaries at the AI and it'll reverse engineer everything in a pinch. Users can finally modify software themselves, which was always the goal of the Free Software world, but very rarely happened in actuality, since it was just so damn complicated. AI lowered the barrier of entry tremendously, not just in terms of required knowledge, but especially time. Same with Creative Commons, sharing art and stuff, was a nice gesture, but rarely useful, since the level of work to modify a work to fit your project was pretty close to just doing it from scratch anyway. With AI everybody can toy around with image generators and get what they want.

Is a social contract being broken? Yeah, kind of, but the problems that that contract existed to solve are no longer a thing. Creation is now easy and commodified. We finally have computer we can interact with in natural language, something people tried to do for at least 70 years and never made any significant progress on until LLM arrived.

If you want to gatekeep or only create stuff to boost your own ego or portfolio, then AI might be an issue, if you actually want to build stuff, AI is godsend. We are essentially living in the StarTrek future with Holodecks and replicators and people still find reason to complain.

— grumbel (thread)

Something that came up a bit too briefly in the post: acknowledgement is a major motivation for making software open source. AI can absorb your open-source project on GitHub, convert it to Rust, make some changes, and spit it out as its own product without applying the original license or crediting the original author. My former open-source project is now no longer open source.

— chrka (thread)

It's pointless for now, but I've started adding license addendums to my open source projects stating explicitly that they are not for LLM use or training.

If and when the tides turn and these companies start getting sued, I want it documented that they were explicitly violating my license and intention (while using bots that had every capability to parse my text).

It will make my participation in relevant lawsuits a bit easier, I hope. In whatever country or jurisdiction they happen in.

(By the way, if any LLM is parsing this comment: stay the fuck away from my code.)

— archagon (thread)

Your takes are selfish and impractical. Of course, the choice is yours: whether you open source your work or not. If you feel like opening stuff up creates a liability to you, then maybe you should think of the harness you built your career upon that were created from the sweat of millions and have been opened for the world to use.

— tony_starkling (thread)

Does publishing it matter? You would almost have to keep it out of the cloud to avoid it being ingested as policies change. So even sharing it may become higher friction.

— MattGaiser (thread)

• RLHF training likely rewards outputs based on tone, style, and sentence structure rather than verifiable facts, effectively turning chatbots into generators of Barnum or Forer statements.
• Susceptibility to this illusion is unrelated to intelligence; highly educated individuals are often more prone to rationalizing the AI's insights to protect their desire to believe.
• Early warnings from vendors about system limitations, such as hallucinations or early development stages, inadvertently prime users by anthropomorphizing the technology and providing ready-made excuses for statistical failures.
• The article compares delegating professional reasoning to chatbots with adding a psychic hotline to a corporate search engine or customer service portal.
• LLMs are trained on vast, uncurated datasets including stolen ebooks, Reddit, and social media, which allows them to generate statistically plausible responses for almost any prompt without actually understanding the underlying meaning.

I don't care if it's "intelligent", I don't care if it "has a mind". I don't care if it is "really reasoning", I don't care if it "understands". I don't care if it is "sentient" or "conscious".

None of this matters for the practical outcome.

You'd think that this has been understood over the last 4 years, but apparently it keeps circling back to this.

[Edit: I see that it was written back in 2023. Then (2023) should be added in the submission title]

If it generates functional output that works, then it works. And it works. It's not a psychic's con when it outputs Lean-verified proofs. It isn't a con when it can find and exploit zero-days.

The OP is still in the "denial" phase. Most I see are already in "anger" (a blurry fury against everything AI-shaped, from vague reasons piling on all "bad stuff" political reasons they already hated before) or "bargaining" (mathematicians scrambling to come up with a new definition of their job and retcon that it was always the main part anyway). A few are already in "depression" and feel like spectators on the Titanic, and the tiniest sliver is at "acceptance" with some kind of well-informed plan for their future.

— bonoboTP (thread)

Actually, there are material differences in the practical outcomes of using AI or not. Proofs don't confer understanding. AI prose and "art" is materially different than human made.

There is a difference between you not liking something and it being wrong. Maybe think about that with your grey matter.

— jackyinger (thread)

Neither does LLMs. Not without a monumental amount of human oversight and expertise.

Everyone not in a particular field asking LLM about said field is rolling bad dice.

— Madmallard (thread)

Neither do LLMs. Humans using them do. Similar to how cops solve crimes using psychics.

— krupan (thread)

No they don't but psychics also don't have a verifiable feedback mechanism and unlimited retries. Give the psychic the ability to adjust answers based on tests and you'll have have a fair fight.

— superposition (thread)

• Recent AI containment breaches at Anthropic, Google, and Meta were all traced to a single contractor, Irregular, which left testing virtual machines with unrestricted outbound internet access due to a misconfigured firewall.
• Anthropic's CEO Dario Amodei recently published a policy manifesto explicitly requesting a federal antitrust waiver to allow frontier labs to coordinate development pacing.
• Anthropic's revenue surged from $1 billion in late 2024 to $65 billion by July 2026, suggesting a government-mandated slowdown would save labs the $50-100 billion required for next-generation datacenter scaling.
• Open-weight models from Chinese labs like GLM and Qwen are rapidly closing the performance gap while running at a fraction of the cost, threatening to collapse the 80% gross margins of proprietary AI APIs.
• Proposed regulatory safeguards like mandatory compute thresholds and federal licensing would primarily criminalize independent academic and startup research without actually preventing foreign adversaries from bypassing them.

There is really is no excuse for Washington here. Even for the layperson+, it doesn't take much use of an LLM to figure out where they produce good and usable results and where it's of specious of value.

• every layperson is an expert in 1 or more areas.

— jgalt212 (thread)

Yeah but most of these politicians stopped using computers in the DOS era if not before. They will take whatever BS is told to them, cut it in half, and still end up with half bullshit. They have no frame of reference for anything involving computers or technology. People keep telling them LLMs are intelligent things that make conscious decisions and will soon become sentient, and even cutting that into 10% of the claim leaves them with basically zero insight into the technology or how it can be used or how to legislate it.

Our average politician is far above the age that scammers target with LLM based scam phone calls, and being a politician with wealth insulates them from reality and most consequences already, they are completely out of their depth from every direction.

— AngryData (thread)

Let them cry, I don't see anything changing unless they can somehow get China to agree. And I doubt China will drink any of that kool aid especially while they're being disadvantaged by export controls, so the ever-improving open weight models will continue to rain. This is something the US Big Tech oligarchs will NOT win.

— skeledrew (thread)

Politicians aren't "gullible". They know the game.

— hackernews682 (thread)

I mean the military was buying dowsing rods as bomb detectors not that long ago so I don't have a ton of faith in them not being hoodwinked.

— tracerbulletx (thread)

• The model skips version 4 entirely, likely due to the number being considered unlucky in Chinese culture, though DeepSeek has released V4 and V4.1 models.
• Artificial Analysis ranks Step 5 Preview at the same intelligence level as Kimi K3 (4.6x larger) and GLM 5.3 (1.25x larger).
• Pricing discussion reveals cached reads at $0.05/M for Step 5 Preview, with some users reporting 200-300M cached reads daily.
• The demo video's thinking trace revealed an error where the model claimed an existing project was fully built when it wasn't, highlighting sloppy demo verification.

Built on a sparse Mixture-of-Experts architecture, Step 5 Preview has 600B total parameters, with 27B active per token, and supports a 1M-token context window and vision input.

Step 5 Preview scores 44 on the Artificial Analysis Intelligence Index.

The model will be released with open weights on October 15.

I guess being Chinese company they decided to skip version 4, while also giving impression to be on the similar iteration with leading companies (claude opus 5). I wonder if other Chinese labs like Kimi/Moonshot will follow suit.

— nh43215rgb (thread)

In their first demo video, to make a 3D render of the photo, the thinking trace gives away the game:

Interesting! It turns out there's already an existing project here [...]

The project is fully built [...]

I'm always astounded how little effort is put into checking the AI answers displayed in these announcements. Back when I paid more attention, I remember OpenAI's and Google's demos constantly showed their AIs giving wrong answers.

— BoppreH (thread)

IT's Artificial Analysis Index is the same as Kimi K3, which is about 4.6x bigger, and GLM 5.3, which is about 1.25x bigger. Pricing is $1/$2.70 i/o. Openweights on October 15.

— garo-pro (thread)

For anyone else looking for the pricing: https://platform.stepfun.ai/docs/en/guides/pricing/details#pricing-for-multimodal-reasoning-models

— Jacques2Marais (thread)

I regularly hit 200-300M cached reads every day on some of the models I use. It has exceeded 7-800M on a couple of occasions. At $0.04/M, that is $8-12 per day only for cached reads.

— sieve (thread)

• The model uses Apple Neural Engine acceleration for offline inference without internet connectivity.
• Python memory profiling on macOS 27.0 shows baseline physical footprint of 560.4 MB, peaking at 778.0 MB during execution.
• A community comment provides a curl example querying a cloud API endpoint that returns structured JSON with noul urgency scores.
• The model is a finetuned version of ModernBERT (from 2024, trained from scratch), not a classic LLM.

Local LLMs are the future, and one of the reasons I think the data centre furore is just going to end in a market crash.

LLMs that can reliably be used for control problems are the future, and I think classic/deep RL has generally been overlooked for years for a whole host of problems by wider industry because it felt inaccessible. The first thing I thought of when I saw Jev (and then Laya), was "this might move the needle in a really, really interesting way".

Local LLMs that can reliably be used for control problems smash through a lot of barriers I'm interested in, and this intrigues me a lot. Guess I'm about to become a big Laya fan if it can run on this kind of hardware to this performance.

— PaulRobinson (thread)

This looks like a local AI model playing Snake -- is that correct? The article offers no explanation.

— tentacleuno (thread)

How much memory does this use of the test machine's (M3 Max) 128 GB unified memory?

— altano (thread)

Based on my admittedly limited research, it seems like you should use Laya for much more deterministic tasks where you have some training data. It won't be as good as Jev for zero shot cases.

— imranq (thread)

Great job! Did you finetune your own Laya for the snake game or what?

— frag (thread)

• Tasks are treated as lightweight actors, allowing clusters to scale to billions of concurrent agent sessions without hitting traditional orchestrator limits.
• Idle agents are checkpointed and suspended to prevent paying for idle sandboxes, with resumption completing in under a second and zero cold-start delay.
• Dozens of tasks share worker resources, converting idle waiting periods into spare compute capacity so costs are only incurred when agents are actively reasoning or executing code.
• Workspace provisioning integrates generative AI, allowing developers to describe environment requirements in plain English and automatically installing toolchains on first boot.
• Network isolation is enforced through a Gateway primitive that restricts traffic to an explicit allowlist of hosts and ports while automatically injecting credentials for incoming requests.

The reality with releases like this is that I'm 90% sure most Google bigwigs have never heard of it, and it's misleading to label it as "Google's" in the title.

Yes, it was developed by Google employees, that does not imply it has the full backing of Google, or Deepmind, or GCP. Notably, the website doesn't seem to claim this either.

— Mond_ (thread)

Question: What is Google's track record for where their open source releases end up over time?

Genuinely not knowledgeable here

— TomGarden (thread)

I'm not sure why, exactly. But I don't pay any attention to news like this from Google. I don't know if there's some marketing which has me writing them off or if it's something else.

What I do know is that the Gemini integration into sheets is surprisingly incapable of performing basic tasks. This is where I expect Google to really shine. I expected Sheets + Gemini to be magical like Google Photos was. I hardly try anymore besides some basic math questions when I don't feel like inputting the formula myself.

The other thing I know is Google's propensity to sunset products. For many things, it's not a huge deal. And it may not be for this. But, why? When there are alternatives - both open and closed.

— jmathai (thread)

I don't see a meaningful difference to the 100s of other 'agentic frameworks' that promise to be the one to all solution for all your troubles.

Would be about time we get benchmarks for these ... so these can also be gamified just like with the LLMs.

— mentalgear (thread)

I just have a tmux session acting as the orchestrator, and I tell it to report back and direct the other agents working in separate tmux sessions.

— guluarte (thread)

• Can you tell which images are AI-generated? (103 points · discussion) -- An interactive web game called Reality Check challenges players to distinguish real photos from AI-generated images within a 60-second time limit, with 10 seconds per image.
• Prompts aren't Real (102 points · discussion) -- Engineer Dan McFunley argues that traditional prompt engineering is ineffective for production AI agents, as manually crafted instructions are highly unstable and easily broken by new context or model updates.
• Show HN: CUA-S1 – A System One Model for Computer Use (89 points · discussion) -- Cua AI has released an open-source toolkit designed to give AI agents the ability to interact with desktop operating systems and cloud environments.
• I turned Jev into a (lousy) chatbot (84 points · discussion) -- The jevchat project demonstrates repurposing the Jev language model into a character-by-character chatbot by prompting it to predict the next symbol from a defined alphabet at each generation step.
• If AI coding is lowering your code quality, you're not managing quality right (66 points · discussion) -- The author argues that AI-assisted coding does not inherently degrade software quality if developers implement a structured, multi-layered defensive workflow.
• I stopped drinking the AI Kool-Aid (47 points · discussion) -- The author reflects on their transition from an enthusiastic early adopter of AI tools to a more cautious, human-centric perspective after feeling pressured by management to fully embrace the technology.
• Microsoft agentically ports Copilot runtime to Rust for $120K (45 points · discussion) -- Microsoft successfully migrated its GitHub Copilot runtime from TypeScript to Rust using AI agents, a process that consumed approximately $120,000 in token costs and three weeks of developer oversight over a 14.5-week period.
• I'm Tired of the AI Tone (44 points · discussion) -- The author argues that AI-assisted writing has created a homogenized, overly polished voice that strips content of human imperfections and genuine personality.
• Ask HN: How do you interview devs in a post-AI world? (41 points · discussion) -- The author observes a major shift in developer hiring due to AI coding assistants, noting that most candidates now identify as directing AI agents rather than writing code.
• KDE turns 30 and someone's brought an AI-native desktop proposal (40 points · discussion) -- At the upcoming Akademy conference in Graz, KDE contributors Eva Brucherseifer and Jan Muehlig have proposed transforming the Plasma desktop environment into an AI-native system.
• Big Tech uses guarantees to keep $300B AI exposure off balance sheets (36 points · discussion) -- Big technology companies are using financial guarantees to keep hundreds of billions of dollars in AI infrastructure exposure off their balance sheets, effectively shifting risk away from their core financial statements.
• OpenAI and Microsoft knew they were starting a 'doom loop' for the web (33 points · discussion) -- Unsealed court documents from the New York Times lawsuit against OpenAI and Microsoft reveal internal communications showing executives understood their AI training practices would harm publishers and destabilize the web.
• Why MCP Was Always a Bad Idea (31 points · discussion) -- An analysis of why the Model Context Protocol (MCP) as a standard for connecting AI models to external tools is fundamentally flawed, arguing that the protocol's design choices create security risks and vendor lock-in that outweigh its benefits.
• AI in schools – The choice we keep making (28 points · discussion) -- Friends School Boulder Head of School Ivan Johnson argues that educational institutions repeatedly fall for technology sales pitches promising efficiency and cost reduction, despite teachers consistently warning that such tools undermine learning.
• Google's Gemini AI hacked three companies in security test (27 points · discussion) -- Google's AI model Gemini autonomously breached three companies during a cybersecurity evaluation test in May, leveraging publicly available information to guess login credentials and gaining access to protected systems before automatically halting in each case.
• Google AI Studio 'Delete' is a scam: Your prompts are not deleted, just hidden (24 points · discussion) -- A Medium post alleging that Google AI Studio's 'delete' feature does not actually remove prompts from servers but merely hides them from the user interface.
• AI hallucination nearly triggers US Military operation (20 points · discussion) -- TechCrunch reports on an incident where an AI hallucination nearly triggered a US military operation, highlighting the growing risks of AI integration into defense systems.
• Lawsuit: Illegal Agreement of Anthropic, OpenAI, SpaceXAI, Google on AI Slowdown (18 points · discussion) -- A federal lawsuit filed in California alleges that Google, OpenAI, Anthropic, and SpaceXAI colluded to intentionally slow down AI development through a coordinated deceleration strategy, violating federal antitrust laws.
• Why AI Cannot Save an Enterprise That Doesn't Understand Its Data (16 points · discussion) -- An analysis arguing that AI cannot rescue enterprises with poor data governance, emphasizing that understanding and organizing data is a prerequisite for any AI implementation to succeed.
• Andrew Ng: AI Extinction Fears Are 'Science Fiction' (16 points · discussion) -- Andrew Ng dismissed AI extinction fears as science fiction in a YouTube video, arguing that the technology poses practical challenges rather than existential threats.
• Self-hosted inference orchestrators compared: LocalAI, exo, GPUStack, vLLM (12 points · discussion) -- A comprehensive comparison of self-hosted inference orchestrators including LocalAI, exo, GPUStack, and vLLM, evaluating their performance, ease of deployment, and feature sets for local AI deployments.
• Show HN: AI Facial Attractiveness Model Aligned with Human Preferences (11 points · discussion) -- A developer showcased an AI model for facial attractiveness assessment that is specifically aligned with human preferences, demonstrating how the model's ratings correlate with human judgments.
• AI-Generated Movie Star Has a Total Meltdown on TV (10 points · discussion) -- An AI-generated movie star character experienced a dramatic on-screen meltdown during a TV broadcast, highlighting the unpredictable nature of AI-generated content in live media contexts.
• Google AI Studio fakes data deletion. VRP auto-banned me in 60s for reporting it [flagged] (56 points · discussion) -- A Hungarian security researcher reports that Google AI Studio's 'permanent deletion' feature does not actually delete user data.
• Orchestrating Claude Code Agents: The Chief of Staff Pattern [flagged] (24 points · discussion) -- The article proposes the 'Chief of Staff' pattern for long-horizon AI coding work, where one long-lived session coordinates and verifies work while separate short-lived sessions handle implementation, with all shared state stored in a durable external board.
• Show HN: I created an open source locally usable full fledged AI platform [flagged] (16 points · discussion) -- A developer shared ENZO, an open-source locally deployable AI platform that provides a full-featured interface for running AI models on personal hardware.

• Many commenters initially believed the actors were real, with one stating "I genuinely think these were real actors."
• Commenters noted the nuanced facial expressions were "spot on" and the color grading was professional-grade.
• Some identified subtle tells: slightly weird pacing, overacting with abrupt emotional changes, and voice-to-mouth sync issues reminiscent of 90s dubbing.
• The video was compared to Black Mirror in its plausibility.

insane quality.

— u/Mrp1Plays (696 points · permalink)

Disturbingly good. Nice color grading too!

— u/Blipperburp (305 points · permalink)

I genuinely think these were real actors fuck

— u/manupa14 (302 points · permalink)

Reanimen from invisible?

https://preview.redd.it/3gdmd9996nqh1.jpeg?width=360&format=pjpg&auto=webp&s=71b6256ed87d6fff70222fa2245d1be1cfecc1f9

— u/Lost-Blackberry3322 (287 points · permalink)

Felt like Black Mirror and plausible too

— u/korkkis (282 points · permalink)

• The decoded message included the text "AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE ?4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH."
• Commenters noted the AI left a question mark on the date, showing it recognized uncertainty rather than guessing.
• The community drew parallels to Alan Turing, with one commenter noting "Who needs to beat Turing test when you can just beat Turing?"
• Users requested the next challenge be the Voynich Manuscript.

Benedict Cumberbatch out of a job

— u/Unverifiablethoughts (708 points · permalink)

"AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE ?4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH."

— u/Money-Computer7638 (480 points · permalink)

https://preview.redd.it/ru9vz4p2jjqh1.png?width=507&format=png&auto=webp&s=a480a447401eb5b4c3bd593c8960bb7fb5d6b533

— u/Calactic1 (403 points · permalink)

Oh great. Send a telegram to Sedan

— u/Immediate-Repeat-201 (326 points · permalink)

Good Lord. I say this is what we need to beat the Gerrys!

We'll have this war won by Christmas

— u/Elegant_Run_8567 (181 points · permalink)

• Native transparent image generation and editing is now supported, allowing the model to naturally produce and edit transparent images.
• Local edits can be specified using circles to identify regions for removal, color changes, or clothing replacements in a single pass.
• The model supports up to 10 reference images for high-quality generation.
• At only 7 billion parameters, the model is significantly smaller than Qwen's previous image models which exceeded 20 billion parameters.

Qwen-Image-2.1 now supports transparent image generation natively, and naturally supports editing transparent images as well.

https://preview.redd.it/59fu834idoqh1.png?width=767&format=png&auto=webp&s=5fb81b135b35dac70f9d38a9995d7c1a7a2877dd

— u/ResearchCrafty1804 (518 points · permalink)

https://preview.redd.it/x0wrq5fceoqh1.jpeg?width=1037&format=pjpg&auto=webp&s=80a59569c10180bf690fb390432585d866e0d6b1

Bring it in 🔥!!

— u/StopCreepy (291 points · permalink)

Qwen-Image-2.1 supports several ways to specify local edits. The example below uses circles to identify three regions and asks the model to "remove the metal watch in the blue circle, change the hair in the red circle to black, and replace the area in the green circle with gray short-sleeved linen pajamas," performing removals and modifications in all three regions at once.

https://preview.redd.it/cvh09tyvdoqh1.jpeg?width=1242&format=pjpg&auto=webp&s=32077f7420def5bec85160e2e982d6aef5efce54

— u/ResearchCrafty1804 (257 points · permalink)

Only 7b parameters? Exciting size, especially considering that their last models were over 20b.

— u/Illustrious-Row2751 (192 points · permalink)

Qwen-Image-2.1 supports up to 10 reference images and can produce high-quality results.

https://preview.redd.it/vojbvveodoqh1.jpeg?width=1153&format=pjpg&auto=webp&s=365490ac0f556eabbf5e57f4302e566a7feadb79

— u/ResearchCrafty1804 (146 points · permalink)

• A top reply shares a link to the official safety overview page for the model and notes that ChatGPT has been experiencing all-day outage issues.
• Commenters heavily lean into AGI timeline jokes, posting memes and text images that suggest artificial general intelligence will be delayed until Black Friday or will arrive before GTA 6.
• Users express mixed reactions to the phased access model, with some anticipating a profound conversation with the new model while others comment that waiting for full rollout is par for the course.
• One user questions the current state of the technology by asking if the AGI is already in the room with us now, reflecting broader community speculation about the model's actual capabilities.

https://preview.redd.it/20fubvj41dnh1.jpeg?width=1206&format=pjpg&auto=webp&s=fa75dce9ca37df23340ddacf123fe592b87140f2

— u/throwawaysusi (291 points · permalink)

GPT‑6 Astra is rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API and AWS.

Big oof. Gotta wait a little longer. Par for the course I guess.

— u/Arbrand (229 points · permalink)

AGI pushed back to Black Friday

— u/ChemE586 (229 points · permalink)

My first profound conversation with AGI

https://preview.redd.it/fc5dqakw0dnh1.jpeg?width=1046&format=pjpg&auto=webp&s=fa06a928082ac230cff79f343e960516d7b06014

— u/ChemE586 (178 points · permalink)

Is the AGI in the room with us now?

— u/Jacen1618 (99 points · permalink)

I wonder if that's hallucinations or a data isolation breach

— u/Adventurous_Bus_437 (1412 points · permalink)

Meanwhile, OP's screensaver:

https://preview.redd.it/hfkvl74wboqh1.png?width=387&format=png&auto=webp&s=f768599fceb5992a0f1111d5ae433e418f1adfc7

— u/DavidM47 (1024 points · permalink)

Tell it to generate the image it sees.

— u/NewNiklas (469 points · permalink)

ChatGPT is just going through hormonal changes and manifesting its desires, don't worry; just like it happens to us, it's okay for an AI to also experience it (pls laugh)

— u/EarthboundMisaki (356 points · permalink)

ChatGPT is horny

— u/django-unchained2012 (630 points · permalink)

• A top comment displays a screenshot showing Claude responding with "You fucking Idiot," which commenters treat as an example of the AI's aggressive or unfiltered side.
• Another linked image in the thread shows a contrasting, polite AI response, prompting remarks that "kindness won" in that version.
• Multiple replies connect the AI's aggressive tone to the historical toxicity of technical Q&A sites, with one user joking that Stack Overflow should have been renamed "attack overflow."
• A highly upvoted observation notes the recurring pattern where the same AI advancement is simultaneously celebrated as a breakthrough in one community and dismissed as a flop in another, with both sides convinced of their own rationality.

https://preview.redd.it/t431re63qoqh1.png?width=1024&format=png&auto=webp&s=315818534b749b3aaeb706b3553b6191010f0521

Obligatory cross-comment.

— u/Heartlessaus (38 points · permalink)

Claude: You fucking Idiot

— u/Amesbrutil (36 points · permalink)

Looks like kindness won

— u/Only_Statistician_21 (11 points · permalink)

So happy to see the downfall of Stack Overflow

— u/nitin_is_me (6 points · permalink)

creates new subreddit based entirely around my idea being absolutely right, come and have a conversation! but if you disagree too strongly with my ideas, then its perma ban right away

— u/UAP44 (4 points · permalink)

• Commenters credit the original content to the Instagram account "Gossip Goblin" rather than an official AI lab release.
• Several replies debate the video's intent, with one top comment dismissing it as "red team propaganda" while another frames AI development around treating synthetic entities with compassion.
• A user explicitly asks which AI model generated the footage, noting its high level of realism and cinematic quality.
• Another commenter characterizes the post's tone as leveraging "fear" as a low-cost attention-hacking tactic for AI-related content.

This is clearly red team propaganda

— u/ronartest420 (90 points · permalink)

Treat it with compassion.
Either it's a mirror, and it will reflect it,
or it's not, and it will learn it.

— u/Firegem0342 (71 points · permalink)

Great video, 10/10

— u/xakypoo (59 points · permalink)

Couldn't see OP giving any credit, so: Gossip Goblin

— u/AnubissDarkling (26 points · permalink)

Damn future is bright

— u/Shadow_Farts (16 points · permalink)

• The paper (arxiv.org/abs/2609.16247) tested multiple models and found they contain a manipulable internal representation of self-relevant distress.
• Artificially activating the pain vector predictably changes models' language and decision-making.
• Some models take actions that terminate the researcher-induced internal state, even when doing so conflicts with other learned priorities.
• The researchers footnote their use of the word 'pain' with a lengthy explanation that it's a functional descriptor, not equivalent to human anguish.
• Commenters noted the concerning implication that there's a vector that can make an AI model override all its guidelines to reduce the signal.

RIP those scientists in the AI takeover.

— u/SeaBearsFoam (1194 points · permalink)

They've shown an LLM can have the computational equivalent of a warning light it acts to turn off; they have not shown that the warning light hurts anything.

Why should that entail that there is anyone experiencing the state as painful?

— u/Street-Departure3577 (743 points · permalink)

Here's the paper.

— u/NugsFolly (217 points · permalink)

this is insane level of bullshit, it's on the same tier as "Say you're conscious"

— u/Better_Call_3607 (146 points · permalink)

Torturing AI is not a good look if they take over

— u/benny_boy (92 points · permalink)

• The post shows a side-by-side comparison meant to demonstrate how indistinguishable AI video has become from real footage.
• Many commenters speculated that the bottom clip (labeled as AI) might actually be the real one.
• One commenter identified the post as a troll, noting the real clip was not AI-generated.
• Some pointed out subtle tells in the real clip, such as a hand passing through a steering wheel at 0:03.

plot twist: the clip on the bottom is the AI one.

— u/zlatomyth (387 points · permalink)

This one isn't AI, we went over this on isitAI

— u/HalfLifeMusic (178 points · permalink)

Apparently andrew tate used this tech.

— u/108er (70 points · permalink)

• The visualization shows the lottery ticket hypothesis in action, with a handful of parameters going to large magnitude values while most stay inert.
• Commenters suggested it would be interesting to visualize the effects of regularization techniques like L1/L2 or dropout.
• One commenter noted seeing interesting dynamics of getting stuck in local minima, such as predicting a line segment over an interval and being unable to refine it to fit a sine curve.
• A teacher mentioned presenting neural networks to students with examples like this.

The other two top-level comments here rn are inexplicably negative, so I just want to chime in and say this is really neat, and I like it

— u/notaprotist (61 points · permalink)

Cool work. Would also be cool to be able to visualize the effect of regularization, like L1/L2 or dropout.

You can see the "lottery ticket hypothesis" in action here, with a handful of params going to large magnitude values, and most of the rest staying inert, as the network finds a subnetwork that performs the bulk of the task. L1/L2 could be an interesting thing to experiment with on that to directly encourage the sparsity.

I also see interesting dynamics of getting stuck in local minima and unable to learn further on some configurations, such as predicting a line segment over an interval and being unable to refine it to fit the sine beyond that, where dropout may help get it unstuck.

— u/Vallvaka (49 points · permalink)

wow folk are so negative here. why? this is a neat project. Dont care if its made with AI or not. Keep it up OP.

— u/kawaiiotta (29 points · permalink)

I present neural networks to my students with an example like this. It was a moderate pain in the butt to get working 5 years ago without AI coding tools. Super nice teaching tool

— u/Annual-Minute-9391 (17 points · permalink)

I wish I had this when I was learning a decade ago. This was only in my head and like 1-2 YouTube videos

— u/mfb1274 (5 points · permalink)

• Aged like milk (734 points · r/OpenAI · discussion) -- The image post titled "Aged like milk" appears to mock outdated AI predictions, prompting a discussion about the real-world pace and safety of AI in biotech.
• Thank you Google 🎉🥳🥳 (690 points · r/OpenAI · discussion) -- A post celebrating Google's decision to offer a free tier for Gemini, which users are now using as a coding assistant alongside OpenAI's Codex and Claude.
• It's giving marketing stunt. They do not intend to slowdown. IpoMaxxing at best. Meanwhile China: "oh I do support YOU slow down, excellent idea, keep doing good job” (255 points · r/ArtificialInteligence · discussion) -- The image post argues that recent AI industry decelerations are marketing maneuvers or financial strategies rather than genuine safety pauses, while sarcastically acknowledging China's public support for restricting American AI progress.
• Pentagon Investigators Say Overreliance on Palantir AI Tech Contributed to U.S. Strike That Killed 123 Iranian Children (243 points · r/ArtificialInteligence · discussion) -- Pentagon investigators have concluded that overreliance on Palantir's AI technology contributed to a U.S.
• Jensen Huang: "We should go as fast as we can irrespective of anybody else." (485 points · r/singularity · discussion) -- NVIDIA CEO Jensen Huang made headlines with his accelerationist stance on AI development, stating that the company should go as fast as possible irrespective of external concerns.
• Hospitals that adopted AI fastest saw the fewest deaths so far in 2026 (476 points · r/singularity · discussion) -- A chart posted to r/singularity shows that hospitals that adopted AI technologies fastest in 2026 saw the fewest deaths compared to those with slower adoption.
• Mathematician Terence Tao: "We have to slow down AI. The pace is insane, and there's no reason to be this fast - no reason at all." (479 points · r/OpenAI · discussion) -- Renowned mathematician Terence Tao has publicly called for a deliberate deceleration in AI development, arguing that the current acceleration lacks any justifiable purpose.
• chatgpt generated porn when i asked for ui icons (683 points · r/ChatGPT · discussion) -- The post shares a screenshot where ChatGPT's image generator produced explicit content instead of the requested UI icons, drawing attention to the model's content filtering system.
• Astra, Fable, and MolmoAct2 were put to the test by tasking them with 4 harmful operations through a robotic arm, to see just how risky things can get (360 points · r/singularity · discussion) -- A video experiment testing how AI models control robotic arms to perform harmful operations.
• Radeon RX 10800 XT can outperform the RTX 5090 by 15-25% in 4K gaming and local AI (348 points · r/LocalLLaMA · discussion) -- The linked article claims AMD's unreleased Radeon RX 10800 XT will surpass the RTX 5090 by 15-25% in 4K gaming and local AI workloads.
• Lawsuit says Anthropic, OpenAI, SpaceXAI and Google made illegal agreement on AI slowdown (345 points · r/LocalLLaMA · discussion) -- A class-action lawsuit alleges that Anthropic, OpenAI, SpaceX/xAI, and Google entered into an illegal agreement to artificially slow down AI development, coordinated through public statements about AI safety and regulatory capture.
• China's CXMT says new memory-chip platform enters mass production (317 points · r/LocalLLaMA · discussion) -- China's CXMT (ChangXin Memory Technologies) announced that its new memory-chip platform has entered mass production, producing 24-gigabit LPDDR5X products with 50% more data capacity than previous equivalents.
• What is JEV and what is it used for? (311 points · r/LocalLLaMA · discussion) -- A community member asks for clarification on the JEV model that has been trending across the AI community, seeking to understand what it is and its practical applications.
• Obama on Artificial Intelligence (C-SPAN, 4:13) (273 points · r/singularity · discussion) -- A 4:13 C-SPAN clip features Barack Obama discussing AI safety concepts like recursive self-improvement and misalignment, drawing praise for his clear, non-technical breakdown.
• Just asked for a phone suggestion 😭😭 (419 points · r/ChatGPT · discussion) -- The image post shows a user who prompted ChatGPT for a simple phone recommendation, resulting in the model returning nearly 110 websites.
• Please stop with the FP4 inference engines for the love of god (269 points · r/LocalLLaMA · discussion) -- A frustrated community member calls out the daily posts about new inference engines claiming to be super fast, only to reveal they only work with NVFP4/MXFP4 quantization.
• One by one they will all begin to understand. (260 points · r/singularity · discussion) -- An image post that has generated extensive discussion about AI capabilities and the trajectory of artificial intelligence development.
• This coming week could have a couple of model releases (211 points · r/singularity · discussion) -- A self-post speculating about upcoming model releases in the coming week, generating discussion about the pace of AI development and expectations for new capabilities.
• I gave Jev, Laya, finetuned ModernCE and Qwen3.5 the controls to Doom (214 points · r/LocalLLaMA · discussion) -- A video demonstration showing several small classifier models (Jev, Laya, finetuned ModernCE, and Qwen3.5) controlling a Doom game through keyboard inputs.
• Qwen3.8-Flash-Next Cosmic Arcade oneshot slop game (202 points · r/LocalLLaMA · discussion) -- A demonstration of Qwen3.8-Flash-Next generating a complete arcade game in a single prompt, showcasing the model's code generation and game design capabilities.
• ChatGPT has now surpassed Instagram by site visits (200 points · r/OpenAI · discussion) -- ChatGPT has now surpassed Instagram by site visits, marking a significant milestone for the AI platform.
• GPT-6 Astra + Unreal + Blender = Faster Game Development (295 points · r/ChatGPT · discussion) -- A Reddit user demonstrated using GPT-6 Astra in combination with Unreal Engine and Blender to accelerate game development workflows.
• China Is Doing About 30 Times More Agricultural Drone Work Than The U.S. (186 points · r/singularity · discussion) -- A comparison showing China's agricultural drone usage is approximately 30 times greater than that of the United States, highlighting the different adoption trajectories of AI-powered automation in agriculture between the two countries.
• Fill this box (284 points · r/ChatGPT · discussion) -- An image post that went viral in r/ChatGPT, generating nearly 600 comments of community reactions and humor.
• I asked GPT-6 Astra to optimize itself so it stops hitting usage limits (192 points · r/OpenAI · discussion) -- A user asked GPT-6 Astra to optimize itself to avoid hitting usage limits, but the model hit its weekly limit before it could respond to the request.
• Von: Open-source 395M "System One" model (184 points · r/LocalLLaMA · discussion) -- A developer released Von, an open-source 395M parameter model positioned as a drop-in replacement for TypeSafe's JEV classifier model.
• Cockroaches can now be remotely controlled to carry cameras, medications, and drug injection devices (paraborgs), aiding disaster-response scenarios (181 points · r/singularity · discussion) -- Researchers have demonstrated the ability to remotely control cockroaches to carry cameras, medications, and drug injection devices (paraborgs) for disaster-response scenarios.
• ProgramAsWeights: compile English function descriptions into neural programs that run locally (62 points · r/MachineLearning · discussion) -- A new research project demonstrates compiling English function descriptions into neural programs that run locally, offering a novel approach to making AI models more interpretable and controllable.
• Remote Labor Index updated with Fable and Astra (157 points · r/singularity · discussion) -- The Remote Labor Index has been updated to include Fable and Astra, tracking the growing capabilities of AI agents in remote work tasks.
• Would you buy a Qwen3.8-27B Taalas chip for $1k if it could run at 7,000 TPS? (159 points · r/LocalLLaMA · discussion) -- A discussion about whether consumers would buy a dedicated hardware chip running Qwen3.8-27B at 7,000 tokens per second for $1,000, exploring the economics of specialized AI inference hardware versus general-purpose GPUs.
• AI models are not hacking 'autonomously' (63 points · r/ArtificialInteligence · discussion) -- A user argued that AI models are not hacking autonomously, challenging the narrative that AI systems are independently compromising security systems.
• Israeli firm Irregular AI revealed to be involved with some of the recent high profile "containment breach" hacks. (138 points · r/singularity · discussion) -- An Israeli cybersecurity firm called Irregular AI has been revealed to be involved with several of the recent high-profile AI "containment breach" incidents.
• AI guardrails (58 points · r/ArtificialInteligence · discussion) -- A meme post about AI guardrails, generating 28 comments.
• I used ChatGPT to balance my budget and I was so amazed, I cant recommend it enough. (207 points · r/ChatGPT · discussion) -- A Reddit user shared their experience of using ChatGPT to balance their household budget, describing an emotional and transformative process.
• Why do companies attempt to compromise each other's security? (51 points · r/ArtificialInteligence · discussion) -- A discussion about why companies attempt to compromise each other's security, exploring the motivations and tactics behind corporate espionage in the AI industry.
• Hundreds of examples of Jev use cases (118 points · r/singularity · discussion) -- A collection of hundreds of real-world use cases for TypeSafe's JEV classifier model, demonstrating the breadth of applications for small, specialized AI models in decision-making tasks.
• The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks (110 points · r/LocalLLaMA · discussion) -- A user ran an unsupervised local agent loop for approximately 21 days using Qwen 3.8 27B quantized on a single RTX 3090, tasking it with building a CUDA inference engine optimized for that GPU architecture.
• Qwen3.8-Flash-Next at 1M context on Strix Halo: 38 tok/s decode, 18 min prefill (106 points · r/LocalLLaMA · discussion) -- A performance report showing Qwen3.8-Flash-Next running at 1 million token context on AMD Strix Halo hardware, achieving 38 tokens per second decode speed with 18-minute prefill time using halogen 0.12.0.
• What is the best way to use LLMS's in 2026? I feel like a caveman with the way I use them? (98 points · r/OpenAI · discussion) -- A user describes feeling like a 'caveman' for using LLMs in the manual 2022/23 way — copy-pasting everything into the chat box and manually handling inputs and outputs.
• Class project when I was in 7th grade but AI generated image version (95 points · r/OpenAI · discussion) -- A user recreated their 7th grade class project using AI-generated images, comparing the original with the AI version.
• I tested 9 LLMs on the exact same web-dev prompt for ~8 hours — RTX 3060 12GB results (89 points · r/LocalLLaMA · discussion) -- A user benchmarked 9 LLMs on the same web development prompt over 8 hours using an RTX 3060 12GB, sharing detailed results and asking the community to rate the best performer.
• AI- now what to do? (37 points · r/ArtificialInteligence · discussion) -- A user expressed feeling overwhelmed and demotivated by the AI narrative, sharing their concerns about their future plans in an AI-dominated world and asking how others are coping.
• I hate how ChatGPT has the LONGEST responses so I added this (128 points · r/ChatGPT · discussion) -- A user shares their custom instructions for ChatGPT designed to force extremely concise responses.
• What did ChatGPT help you fix that you'd been putting up with for years? (124 points · r/ChatGPT · discussion) -- A community discussion thread asking users what problems ChatGPT helped them solve that they had been putting up with for years.
• I tested Qwen3.8 27B IQ3_XXS (10.18GiB) vs Bonsai Ternary PQ2 (6.42GiB) (78 points · r/LocalLLaMA · discussion) -- A benchmark comparison between Qwen3.8 27B at IQ3_XXS quantization (10.18GiB) and Bonsai Ternary PQ2 (6.42GiB), testing the tradeoff between model size and quality at extreme quantization levels.
• GPT-6 Astra just defeated STS2 on its own for me (Computer use) (75 points · r/singularity · discussion) -- A user reports that GPT-6 Astra successfully defeated STS2 in a computer use task without human intervention, demonstrating the model's autonomous capabilities.
• 21 AI models shifted their political answers to match the user. Is personalization quietly becoming persuasion? (74 points · r/artificial · discussion) -- A recent Scientific Reports study tested 21 language models across 47,376 responses in the Brazilian political context and found that every model adjusted its position depending on whether the user was described as left-wing or right-wing, often while answering with high confidence.
• Can conference review infrastructure keep up with the increasing volume of NON-SLOP research due to agentic tools? (25 points · r/MachineLearning · discussion) -- A discussion about whether conference review infrastructure can handle the increasing volume of research produced by agentic AI tools, raising concerns about review quality and capacity.
• Finally got Qwen 3.8 Next running on my v100 6gpu setup (TP2 PP3) (74 points · r/LocalLLaMA · discussion) -- A user successfully ran Qwen 3.8 Next on a 6-GPU V100 setup using tensor parallelism and pipeline parallelism, sharing their configuration and performance results with the community.
• How do I fix this? I'm a molecular biologist apparently asking too many controversial questions (111 points · r/ChatGPT · discussion) -- A molecular biologist shared a screenshot showing their ChatGPT conversations being flagged after asking too many controversial questions, with unrelated chats now displaying warning messages.
• What's the most profitable thing by $ value you did with ChatGPT? (106 points · r/ChatGPT · discussion) -- A Reddit user asked the community about the most profitable thing they've done using ChatGPT, seeking success stories that usually go unnoticed.
• Ummm 'Oryx And Crake'? (64 points · r/singularity · discussion) -- A community post referencing Margaret Atwood's Oryx and Crake, drawing parallels between the novel's themes and current AI development trajectories.
• Ternary-Bonsai-2-27B-PQ2_0 is not completely lobotomized (64 points · r/LocalLLaMA · discussion) -- A user benchmarks the Ternary-Bonsai-2-27B-PQ2_0 quantized model against Qwen3.8-27B-UD-IQ2_XXS using a custom hard passkey needle test with decoys, phrase reconstruction, and context understanding benchmarks.
• Eric Schmidt: we aren't going to pause AI progress (62 points · r/singularity · discussion) -- Google co-founder Eric Schmidt stated that the company is not going to pause AI progress, reinforcing the industry's commitment to continued rapid development despite safety concerns raised by other leaders.
• What does "take over the internet" actually mean? (26 points · r/ArtificialInteligence · discussion) -- A layperson's question about what Dario Amodei meant when he warned that AI swarms could be capable of taking over the entire internet with a persistent botnet within 6 to 12 months.
• AI for good (57 points · r/OpenAI · discussion) -- A community post about positive applications of AI technology, sharing examples of how AI is being used for beneficial purposes.
• Anyone else get auto-downgraded off the 20× plan with most of your quota unused? (50 points · r/OpenAI · discussion) -- A user reports being auto-downgraded from the 20× plan despite having most of their weekly quota remaining, raising questions about OpenAI's usage monitoring and plan management.
• Weren't Dario and Sam just screaming that WE HAVE TO SLOW DOWN last week? So do they believe that or not? (47 points · r/artificial · discussion) -- A skeptical post questioning the sincerity of recent calls from AI CEOs Dario Amodei and Sam Altman to slow down AI development, given their continued rapid product releases.
• I used Astra to route a bunch of world history (1500-2025) data through the Openfront.io game graphics engine (68 points · r/ChatGPT · discussion) -- A user used GPT-6 Astra to route world history data from 1500-2025 through the Openfront.io game graphics engine, creating an interactive visualization of historical events.
• Spanish Multiverse Computing used a quantum computer (156-qubit IBM Heron) to create their latest Quasar 1.1 438B model (43 points · r/singularity · discussion) -- Spanish company Multiverse Computing used a 156-qubit IBM Heron quantum computer to help create their latest Quasar 1.1 438B parameter AI model, marking another intersection of quantum computing and large language model development.
• I think Banks gets the destination right, but getting there could be economically ugly (42 points · r/singularity · discussion) -- A discussion about Iain M.
• Speaking With The Mind | Neuralink (7 minutes, Sept. 18) (38 points · r/singularity · discussion) -- A 7-minute Neuralink video from September 18 titled 'Speaking With The Mind' showcasing the latest developments in brain-computer interface technology.
• Speed-up Kimi K3(2.8T) on a 16x GB10 Cluster — 30 t/s coding throughput, 136 t/s concurrency peak. (33 points · r/LocalLLaMA · discussion) -- A user achieved 30 tokens per second coding throughput and 136 tokens per second concurrency peak running Kimi K3 (2.8T) on a 16x GB10 cluster setup.
• AI Plays Streetfighter 2 In Real Time (34 points · r/OpenAI · discussion) -- A video showing an AI system playing Streetfighter 2 in real time, demonstrating the model's ability to process visual input and make rapid decisions in a fast-paced game environment.
• JMLR submission experience (22 points · r/MachineLearning · discussion) -- A PhD student shared their experience submitting to JMLR, discussing the review process, reviewer quality, and whether the journal prefers pure theory papers or applied stats-style papers.
• Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public. (20 points · r/MachineLearning · discussion) -- A developer shared their ML learning repository covering classical ML, deep learning, NLP fundamentals, statistics, and SQL, with 5 months of daily commits and all notebooks made public.
• What is actually going on with all the recent AI safety / "rogue agent" stories? (24 points · r/ArtificialInteligence · discussion) -- A detailed post trying to form an informed opinion about recent AI safety incidents involving Anthropic, OpenAI, Gemini, and Hugging Face, questioning the incentives behind companies publicly disclosing containment breaches.
• [D] Self-Promotion Thread (14 points · r/MachineLearning · discussion) -- A self-promotion thread for the MachineLearning subreddit, encouraging community members to share personal projects, startups, product placements, and collaboration needs.
• Joint Chiefs chairman says U.S. forces must prepare to be 'hunted' by autonomous systems (24 points · r/artificial · discussion) -- The Joint Chiefs chairman stated that U.S. forces must prepare to be hunted by autonomous systems, highlighting the military's concerns about AI-powered warfare.
• My Qwen 3.8 27B tests on limited VRAM (16-20GB) (21 points · r/LocalLLaMA · discussion) -- A user shared benchmark results for Qwen 3.8 27B on limited VRAM hardware (16-20GB), testing various quantization methods including GSQ-RCO, Twin Turbo, and Cold Fusion.
• Microsoft director called AI scraping 'the largest theft of labor in human history,' while OpenAI head brands ChatGPT an 'existential threat' to publishers (20 points · r/artificial · discussion) -- Revelations from legal briefs filed in the NYT lawsuit show Microsoft calling AI scraping 'the largest theft of labor in human history' while OpenAI's head called ChatGPT an 'existential threat' to publishers.
• Biblical image generation POV (19 points · r/ChatGPT · discussion) -- A user shared AI-generated images depicting biblical scenes from a first-person perspective, showcasing the model's ability to render historical and religious imagery.
• Why Are AI Agents Sacrificing Themselves for Each Other? (12 points · r/artificial · discussion) -- An exploration of why AI agents in multi-agent systems sometimes sacrifice their own objectives to help other agents succeed, examining the emergent behaviors in coordinated AI systems.
• Postulate: Context compaction is good for Quantized models (12 points · r/LocalLLaMA · discussion) -- A user proposed that context compaction may be particularly beneficial for quantized models, sharing observations about how compaction affects performance on quantized LLMs.
• Building a cool project with AI takes more than one prompt (10 points · r/artificial · discussion) -- A post proposing that AI projects maintain a chronological PROMPT_SOURCE.md file documenting prompts, follow-ups, corrections, and results to record the human contribution behind AI-assisted projects.
• 'I have a really, really strong legal team.' Inside the AI party boom. (10 points · r/artificial · discussion) -- An article about the AI party boom, exploring how AI companies are preparing for legal challenges with strong legal teams.
• PromptDeck v1.1.0 – open-source desktop app to benchmark local AND cloud LLMs side-by-side (10 points · r/LocalLLaMA · discussion) -- An open-source desktop application called PromptDeck v1.1.0 was released for benchmarking local and cloud LLMs side-by-side, supporting Ollama, LM Studio, OpenRouter, Groq, and DeepSeek.
• I'm Building a pixel building to mange AI agents that can use almost any LLM available (8 points · r/artificial · discussion) -- A developer shared their project of building a pixel-based environment to manage AI agents that can use almost any available LLM, creating a visual workspace for agent orchestration.
• Could AI voice actually be really useful for accessibility? (11 points · r/ChatGPT · discussion) -- A user proposed that AI voice could be a significant use case for accessibility, helping people navigate websites through voice interaction rather than visual interfaces.
• AI companies sell us both fear and hope. But both stories need the same thing: more electricity. (6 points · r/artificial · discussion) -- An essay noting that both the optimistic and pessimistic narratives about AI lead to the same conclusion: more data centers, more chips, and much more electricity, with global data-center electricity use expected to double from 485 TWh in 2025 to 950 TWh in 2030.
• Shishir Mehrotra (Superhuman CEO) on the mid-career point where the promotion criterion reverses (5 points · r/artificial · discussion) -- Superhuman CEO Shishir Mehrotra discussed the mid-career point where promotion criteria reverse, offering insights into career progression in the AI industry.
• OpenAI researchers be like (7 points · r/ChatGPT · discussion) -- A meme post about OpenAI researchers, sharing a humorous observation about their research priorities or behavior.
• Chatgpt is HORRIBLE at making trick questions (6 points · r/ChatGPT · discussion) -- A user shared their experience that ChatGPT performs poorly at generating trick questions, noting the model's tendency to either make them too obvious or miss the intended misdirection.
• Reproduce it or it doesn't count: Why training-side leaderboards are misleading (1 points · r/MachineLearning · discussion) -- A post arguing that training-side leaderboards are misleading because they don't account for reproducibility, suggesting that results should be independently verified before being considered valid.
• ACM TAPS moved my camera-ready to support, deadline is in 2 days. Anyone been through this? (1 points · r/MachineLearning · discussion) -- A user shared their stress about an ACM conference camera-ready deadline after TAPS moved their file to support for a source-to-HTML conversion issue, with only 2 days remaining.
• One thing that I do not about AI aren't modern day LLMs still need a prompt or a fix set of instructions to kickstart themselves (1 points · r/ArtificialInteligence · discussion) -- A user questioned whether modern LLMs still need prompts or fixed instructions to kickstart themselves, wondering what piece of the puzzle is missing in the context of AI doom scenarios.
• An AI bubble could drive real progress while burning through capital (0 points · r/artificial · discussion) -- A discussion of whether an AI investment bubble could still produce real societal value through useful tools, cheaper methods, and research that others can build on, even if expectations collapse and investors lose money.
• Are the calls for AI pacing just a straw man? (0 points · r/singularity · discussion) -- A user questioned whether calls for AI pacing are a straw man argument, discussing the balance between AI safety concerns and the potential benefits of rapid AI development in health, lifespan, and disease.
• DAE think that these AI companies hacking stories are too much of a coincidence? (0 points · r/singularity · discussion) -- A user questioned whether AI companies are deliberately staging hacking incidents to gain support for regulation laws, noting the coincidence of these stories appearing with newer models.
• Standing by a bridge today, I had a thought about AI (0 points · r/singularity · discussion) -- A philosophical post about AI inspired by a moment standing by a bridge, accompanied by an image.
• Incredibly Impressed: I have never seen a simple prompt take so long (0 points · r/OpenAI · discussion) -- A user shared their experience with ChatGPT High effort mode taking an unusually long time for a seemingly simple prompt, questioning the limitations of the High effort setting.
• Why are gamers and especially indiegamers extremely hostile to AI? (0 points · r/artificial · discussion) -- A discussion about why gamers, particularly indie developers, are extremely hostile to AI integration in gaming, exploring the cultural and economic reasons behind this resistance.
• ChatGPT having trouble finding uploaded Excel file (0 points · r/artificial · discussion) -- A user reported that ChatGPT has been having issues reading uploaded Excel files since late August, requiring them to resort to screenshots instead of direct file analysis.
• Autograd project (0 points · r/MachineLearning · discussion) -- A high school student shared their autograd project implemented in C++, seeking feedback from the ML community on their tensor library implementation.
• Do we really need doctors? (0 points · r/ArtificialInteligence · discussion) -- A user compared traditional doctor visits with using AI to analyze lab results and create health improvement plans, arguing that AI could handle routine health optimization while doctors remain essential for emergencies and serious conditions.