ap retweeted
We have a new paper on topic models!
We introduce Mechanistic Topic Models (MTMs). MTMs model SAE feature counts rather than words or plain embeddings, combining the benefits of LLM-based and probabilistic topic models.
Paper (published in TACL) : arxiv.org/abs/2507.23220
Funny part is leopold probably still made more money in 2 years than burry did in his whole career even after completely blowing up.
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Prediction: they will buy more stuff (especially data center assets)
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI.
The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models.
Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
After hearing tales of SF nimbys from friends here this weekend … sad to say I am not surprised that Pyongyang is better at building housing than California
The two best statistics in the WSJ’s genuinely great article on North Korea’s economic boom:
Pyongyang built more housing last year than LA. (Says something about CA housing dysfunction).
North Korea assembled more cellphones than the USA.
(Assuming the #s are true!)
Sounds like a meta cloud services division is getting announced soon to me
BREAKING: Meta stock, $META, extends losses to -7% on the day after the Financial Times reports that the company is considering a stock offering to raise capital.
The stock has now erased -$115 billion of market cap today.
Everyone was schilling this narrative when crypto got big. 5 years later all of the shitcoins are gone but the opportunities to make money got way bigger. Don’t listen to this doomer stuff, if you approach things long term and optimistically there’s always more upside.
Will be sitting at the bar counting people to front run the hedging flow
Now I have become death, writer of premiums
Maybe that culture is fine for you at linear, and it looks like it’s working great for you! You’ve created something worth over a billion dollars in 7 short years, that’s something very few people on the planet have done before.
But sometimes there are big problems that need solving, and there is more creative thinking, not less, that happens with contact with the big problems. In our case, creating the financial operating system that owns the creation, transfer, financing, and investment of risk, using AI to automate the paperwork of the most regulated entities to make every business and person a little more profitable, waste a lot less time, and be more protected, is a big problem.
Maybe there were super geniuses at the Manhattan Project working 1 day per week like zen masters. I doubt it though, because if you’re obsessed with a problem, you work hard. Nowhere did I or do I glorify lack of sleep (I always think sleeping right and exercise are very important), and different people have different visions, cadences, and ways they want to run their companies. And that’s ok, but you attacking our style based upon sound bites when we are solving a really important problem, by market sizing probably the biggest problem large language models can solve, isn’t it.
ap retweeted
In two weeks the eng team at Finch is transforming our office into a speakeasy with great drinks, wonderful company, and a little Gatsby-esque glamour.
We are always looking to meet and talk to talented folks, so bring your engineering friends along! Help us find our next Daisy!
(RSVP link in comments)
What’s with people’s urge to call 10 of the last 0 AI bubbles popping? Is it like a resentment thing? At what point does one of these types eat some humble pie? Will be fascinating to watch
Hot take on what comes next, after the sudden decline of tokenmaxxing:
- OpenAI will struggle
- with the decline of tokenmaxxing Anthropic will struggle (aside from this quarter) to make a profit
- Google will catch up to Anthropic
- some Chinese companies might, too
- LLMs will become commodities; margins will be very very thin
- Most of the companies that invested massively in them will struggle to make back their investments
- SpaceX’s AI efforts will flail
- Nvidia will eventually decline, once all of the above becomes widely recognized.
The people crave mythos!
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.
ALT Benchmark table showing how Claude Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks.
Looks amazing on paper but I wish there was a way for me to tell how benchmaxxed a given model is, almost like a meta confidence statistic
📣Meet Qwen3.7-Max — our latest flagship, made for the Agent Era.
A versatile foundation for agents that actually get things done:
🧑💻 Coding agent, end to end. Frontend prototypes, multi-file refactors, real debugging — nails it.
🗂️ A reliable office and productivity assistant. Get your work done through MCP integrations and multi-agent orchestration.
⏱️ Long-horizon autonomy. 35 hours straight on a kernel optimization task — 1,000+ tool calls, zero hand-holding.
🔌 Scaffold-agnostic. Claude Code, OpenClaw, Qwen Code, or your own stack. Consistent reliability everywhere.
API's up on Alibaba Model Studio. You can also take it for a spin on Qwen Studio.
Go build something wild!🏃🏃♂️
📖 Blog: qwen.ai/blog?id=qwen3.7
✅ Qwen Studio: chat.qwen.ai/?models=qwen3.7…
⚡️ API：modelstudio.console.alibabac…
