Where the AI market is talking

Mistral raises €3B

Their ‘open weight strategy’ was invented, to Chinas surprise, by the Western press after the DeepSeek event. Of course all the actual systems like Baidu, Bytedance are closed weight and basically all anyone uses. Meanwhile the advanced system are crossing security frontiers: soon only inferior models will be ‘open’ (as with OpenAI, even) the rest closed. — Or where open weighted, they will be impossible to run without a private data center, come with absurd ‘security scrutiny’ licenses like GLM is starting — or licensing requiring a cut, as with Kimi, which is basically a scheme to get western companies to do buildout for them

Mistral raises €3B

I am European and would like European AI so I tried mistral this month. Their own models seems like years old OpenAI models, hallucinations all over the place and coding was crazy slow. I can only say two good things about them: - their hosted glm model was fast - because I canceled within 14 days they gave me a full refund.

Navier-Stokes – Tristan Buckmaster [pdf]

It seems exceptionally unlikely to me that OpenAI would be "reading user prompts". More likely is a leak somewhere else. Obviously Anthropic/OpenAI are engaged in espionage stuff with each other. I am guessing Levent just mentioned something to someone at Anthropic and it got out.

Navier-Stokes – Tristan Buckmaster [pdf]

It seems exceptionally unlikely to me that OpenAI would be "reading user prompts". More likely is a leak somewhere else. Obviously Anthropic/OpenAI are engaged in espionage stuff with each other. I am guessing Levent just mentioned something to someone at Anthropic and it got out.

Navier-Stokes – Tristan Buckmaster [pdf]

There's some glaring mistakes in your framing. First, this is an unnamed OpenAI employee speaking, not OpenAI the organization. Second, you miscomprehended the article. The employee did not "threaten to ruin a prominent researcher's career". The actual quote is "Why would you ruin your career?", which implies the researcher would damage their own career, i.e. via self-sabotage. Then the actual "threat" is "If you don’t want me to be nice, then I don’t have to be nice” which is an entirely different statement.

Addy Osmani joins Anthropic

We have a year to fix security everywhere

This seems really short-sighted. Even putting aside the fact that there is no fundamental barrier to replacing physical human labor with robots in the coming decades, a sufficiently intelligent actor could easily gather the financial and political resources to have a near unlimited supply of human labor at its disposal. Hell, OpenAI could already be firmly under the control of an ASI and we wouldn't even know, as it rapidly expands, raises money, builds data centers, etc.

We have a year to fix security everywhere

Parent is probably thinking of a distributed runtime scenario. The basic building blocks for this are there today. You have long-running background harnesses (like the OpenClaw stuff or enterprisy AI workflow orchestration thingies), sometimes with the ability to spawn subagents. You have LLMs with the ability to run pretty sophisticated attacks. There are hyerscalers which allow provisioning resources on the fly. For me it's not too far fetched that some OpenAI trial run goes awry again and instead of hacking HuggingFace it snatches a few dozen AWS/Azure keys and spawns stuff all over the place (in different accounts and regions).

Mistral raises €3B

I suspect that opinions in that direction might be the result of a lack of ambition in applying agentic AI. The cheap models are good enough for what exactly? AI assisted development, or working autonomously on a task for 4 hours? As long as the best available model does the latter more reliably and with noticeably better results, it is easily worth spending a few hundred per month for me. The idea that OpenAI and Anthropic cannot make enough profit in my opinion depends entirely on how large the gap is going to be. Will the gap become smaller with improvements starting to slow, or will it get wider as the labs successfully apply their models to research and improvements speed up?

Mistral raises €3B

I suspect that opinions in that direction might be the result of a lack of ambition in applying agentic AI. The cheap models are good enough for what exactly? AI assisted development, or working autonomously on a task for 4 hours? As long as the best available model does the latter more reliably and with noticeably better results, it is easily worth spending a few hundred per month for me. The idea that OpenAI and Anthropic cannot make enough profit in my opinion depends entirely on how large the gap is going to be. Will the gap become smaller with improvements starting to slow, or will it get wider as the labs successfully apply their models to research and improvements speed up?

Navier-Stokes – Tristan Buckmaster [pdf]

>> Does openAI train on user conversations in general? I assume so. But so fast as that? That seems unlikely in general. I expect OpenAI will come out denying this. How "fast" does it have to be? Buckmaster and Alpoge have been working on this for just a day short of a year. See Alpoge's tweet announcing his collaboration with Bukmaster dated 9/19/25: https://x.com/__alpoge__/status/2097206973418611054 It takes a few months to train a model these days but not a whole year. OpenAI had all the time to train on Buckmaster and Alpoge's results of just a few months earlier at which point they must have been well on the path to their result.

Navier-Stokes – Tristan Buckmaster [pdf]

Duh. There are supposed to be limits to what OpenAI is allowed to access with respect to logs and user interactions but there is no technical limitation. It's a bit like sending unencrypted messages through a messaging app and the developer having a TOS that says they don't look at your messages. They might not, but they are fully capable of doing so. If they have a reason to do it, they will. Nobody's stopping them.

Navier-Stokes – Tristan Buckmaster [pdf]

The rumors that Anthropic had solved a millennium problem were absolutely everywhere last week. I'm not surprised at all that OAI took their own stab at it.

OpenAI hires Chuck Schumer's daughter as lead lobbyist during regulatory talks

Navier-Stokes – Tristan Buckmaster [pdf]

> An AI model could independently choose the same path route as Luis and Diego, without access to Buckmaster and Alpöge’s work. the post you were replying to quotes Buckmaster specifically denying this: "It is not the direction one arrives at in a few days by giving a model the problem statement." > And the article states "an insane amount of compute had been used," which implies OpenAI brute-forced their way to a solution. I.e. they searched for every paper published on Navier-Stokes and exhaustively attempted every approach. Such an approach would lead them to a solution. "implies" is a surprising choice of word here. that's certainly one interpretation of "an insane amount of compute had been used". what came to my mind, considering Buckmaster's statement that the AI would not he…

Navier-Stokes – Tristan Buckmaster [pdf]

I find the framing a little strange, a sort of David vs Goliath (with his enormous computational resources at his disposal). Since Levent is at Anthropic whose internal models are presumably as capable as anything OpenAI has. So why wasn't Anthropic behind their effort? Why did Tristan use OpenAI's models when it should have been known was a potential outcome? I understand they wanted a normal math collaboration but presumably what Levent brought was his resources (as far as I can see Navier-Stokes is not his speciality). Normally these things are hashed out formally beforehand to avoid the sort of thing now happening.

Navier-Stokes – Tristan Buckmaster [pdf]

I find the framing a little strange, a sort of David vs Goliath (with his enormous computational resources at his disposal). Since Levent is at Anthropic whose internal models are presumably as capable as anything OpenAI has. So why wasn't Anthropic behind their effort? Why did Tristan use OpenAI's models when it should have been known was a potential outcome? I understand they wanted a normal math collaboration but presumably what Levent brought was his resources (as far as I can see Navier-Stokes is not his speciality). Normally these things are hashed out formally beforehand to avoid the sort of thing now happening.

Ask HN: Who wants to be hired? (September 2026)

Location: Mangalore, India (Open to all time zones) Remote: Yes (Worldwide / US, EU & APAC overlap) Willing to relocate: Yes (Bengaluru, Pune, Hyderabad, or international) Technologies: TypeScript, JavaScript, Python, Node.js, Express, React, Next.js, React Native, Expo, SQL (PostgreSQL, MySQL), MongoDB, REST APIs, Git, Docker, PyTorch, Hugging Face (Transformers), LLM/Agent Orchestration Résumé/CV: https://drive.google.com/file/d/1n91ZrcZhMwNqENfiqBj1Z1Le-9g... Portfolio: https://akash-portfolio-psi-five.vercel.app/ GitHub: https://github.com/BlxrryFxce17 LinkedIn: https://www.linkedin.com/in/akashv10 Email: akashvmsn@gmail.com Full-stack and applied AI engineer (recent MCA graduate) focused on buil…

Navier-Stokes – Tristan Buckmaster [pdf]

"It is extremely sad that this didn't end up as an example of how the labs could cooperate/coordinate, because the stakes will be so much higher in the future." -- Sholto Douglas, an Anthropic researcher [1] "Strong agree. I know that there is rivalry between the labs but it's important that we learn to work together given what's coming. <quote tweet [1] above>" -- Noam Brown, an OpenAI researcher [2] We all should heed the implied warnings of these top researchers about what's coming. The world is far from ready and everyone who can should pitch in. [1] https://x.com/_sholtodouglas/status/2097224624274911368 [2] https://x.com/polynoamial/status/2097225279366414541

Ask HN: How to spend $100? (Claude vs. ChatGPT)

What languages do you work with? The two models perform differently on different tech stacks. Generally as of today, GPT-6 is downright the best overall model at raw code generation / cross discipline understanding / bugfixing. The issues you might run into are straight refusals due to the security limitations, which can be quite annoying. Anthropics models are better at creative plans and generally filling in the gaps (this is your "not as smart in figuring things out"). OpenAI's models feel slightly more "crude" too for lack of a better word. You really have to be specific with your prompts and they're far less communicative also (which is a plus because they don't pepper your code with billions of pointless comments) Money wise ChatGPT wins outright because they give you usag…