La marche vers l'excellence continue!

There is no bubble btw

if i were like, a sports star or an artist or something, and just really cared about doing a great job at my thing, and was up at 5 am practicing free throws or whatever, that would seem pretty normal right? the first part of openai was unbelievably fun; we did what i believe is the most important scientific work of this generation or possibly a much greater time period than that. this current part is less fun but still rewarding. it is extremely painful as you say and often tempting to nope out on any given day, but the chance to really "make a dent in the universe" is more than worth it; most people don't get that chance to such an extent, and i am very grateful. i genuinely believe the work we are doing will be a transformatively positive thing, and if we didn't exist, the world would have gone in a slightly different and probably worse direction. (working hard was always an extremely easy trade until i had a kid, and now an extremely hard trade.) i do wish i had taken equity a long time ago and i think it would have led to far fewer conspiracy theories; people seem very able to understand "ok that dude is doing it because he wants more money" but less so "he just thinks technology is cool and he likes having some ability to influence the evolution of technology and society". it was a crazy tone-deaf thing to try to make the point "i already have enough money". i believe that AGI will be the most important technology humanity has yet built, i am very grateful to get to play an important role in that and work with such great colleagues, and i like having an interesting life.

We are about to witness a Renaissance of sorts. We won’t be able to keep up with innovation and progress!

Buy the K-bot; get into debt if u have to

‘84 Los Angeles Olympics aesthetic >>

I generally like Anthropic: but the more they paint a dystopian future where AI “manages” people (“AI middle-managers”) the more I am starting to think they are losing their marbles. LLMs is a tool humans should use. The tail should not wag the dog; Anthropic should know better

Neuralink today unveiled its next-generation surgical robot. It's able to insert threads into the brain in 1.5 seconds vs 17 seconds in their previous gen surgical robot. This new surgical robot is also now compatible with 99% of the global human population. They've also increased the depth the needle can insert threads and can reach more than 50mm from the surface of the brain. The needle cartridge is now 95% less expensive to make vs previous version.

Cloudflare CEO @eastdakota is having the most honest conversations I've come across about the current & future of content creation "6 months ago, 75% of queries to Google get answered on Google. Which means if you're an original content creator, your content is getting summarized & sold (they still put ads there), but you don't get that traffic. And that's the good news. It used to be that for every 2 pages G scraped, you would expect 1 visitor. 6 months ago that deteriorated to 6 pages scraped to get 1 visitor. Today the traffic ratio is: for every 18 pages Google scrapes, you get 1 visitor. What changed? AI Overviews If the business model of the web has been search, fundamentally, for the last 35 years. You get value by subscriptions, ads, or fame. All 3 of those things are going away, and they are going away fast. And that's STILL the good news. What's the ration for OpenAI? 6 months ago it was 250:1. Today it's 1,500:1. What's changed? People trust the AI more, so they're not reading original content. People aren't following the footnotes. So if you believe the business model of original content creation is driving people to that content... I just have a really bad story for you. The future of the web is going to be people reading the summaries of content, not the original. What I'm worried about is - if you can't sell subscriptions or monetize ads or get the ego boost from people reading your stuff, why anyone is going to create content?"

The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing: - Natively multimodal text/vision/audio at both input and output. - Matryoshka-style architecture allowing a dial of capability up and down at test time. - Reasoning, also with a dial. (system 2) - Aggressively tool-using. - On-device finetuning LoRA slots for test-time training, personalization and customization. - Delegates and double checks just the right parts with the oracles in the cloud if internet is available. It doesn't know that William the Conqueror's reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can't recite the SHA-256 of empty string as e3b0c442..., but it can calculate it quickly should you really want it. What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty ("not your weights not your brain"). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so.

> “Mommy, how did we get so rich?” > “Your Dad is a complete psychopath with unlimited risk tolerance.”

Former Yale forward Danny Wolf made history Wednesday night, becoming the first former Yalie to be selected in the first round of the NBA Draft since 1949. yaledailynews.com/blog/2025/…

Bubble or not, I hope to one day see an African AI giant

I doubt there is much acceleration happening in Burkina Faso besides the hype

For those unaware, this is a HUGE deal! Compute has been our main constraint fine-tuning VLAs on small robots; congrats to the gemini team

Incredible reversal, love to see this

frontier lab shit, no joke

Incredibly bullish on Dario and the team. They play to win

This is the future btw

Not much in forecasting annoys me more than "this was very predictable" from people who did not make any predictions about it before it happened. I think you'll find that when you try to predict things *before* things happen, you're wrong a lot! It's easy to predict the past!