Toutes les curations

Making novel variations of evals is very useful, public evals tend to get memorized!

I see some are drawing the wrong inference from this study: they are focusing on this meta benchmark as yet another benchmark for model picking, i.e. open vs closed models, model families etc. That’s too narrow of an interpretation! You need to do your own private evals on

holy shit, an art form of scientific grift next METR/Epoch/AA employee right here you all need to work on your epistemic hygiene

GPT-5.6 Sol and Luna were built by roughly the same people using roughly the same infra, I don't think we can blame the 20 point difference in Luna just on memorization. There's something else being tracked here in addition to memorization. Maybe MaxxBench questions are slightly

Pre-announcing the pre-announcement

1000 scientific breakthroughs drop from Google incoming?

Been working for this moment for over a decade. What I've witnessed behind the scenes, together with what we have been building, tells me we are about to enter a truly incredible era of AI-powered scientific discovery. It's an incredible time to be doing research. I will be

2026 is the turning point for humanity. Google DeepMind’s Pushmeet Kohli says AI is accelerating scientific discovery and that upcoming releases will offer a glimpse of the progress. He says the team also aims to help the wider scientific community use these tools responsibly.

What did he mean by this 👀

Nvidia's board opened an independent investigation into allegations against CEO Jensen Huang! Jensen had published an email to the company acknowledging being unfaithful to his wife of 41 years, and didn't mention the allegations beyond the investigation mention. Full message

having an affair with a suspected chinese spy is bad obvi, but it doesn’t materially update my opinion of jensen. i already thought he was a pos when he started groveling at trump’s feet for permission to sell h200s to china

are you listening anon?

vroomberg terminals

There will be an explosion of custom inference engines. This is the only way to accelerate.

San Jose, California. Capital of Silicon Valley.

I’ve been actively on the hunt for non LLM based AI models and I’ve invested into one already Looking for totally new designs

i disagree with the first point, there is nothing that says that scaling up current transformer recipe is not enough for "intelligence". you take kimi K3 or your favorite open arch + some stability fixes, you scale it to 50T parameters, you do classical training end to end, you

We need a model that learns *in spite* of its inductive bias, not thanks to it. We have to stop being cross-entropy fetishists.

True! This is the era of the RL objective. The biggest economy on this earth (US stock market) runs on subscriptions. Subscriptions require vendor lock-in. Currently, the frontier is pushing “Variance” learning from customer data, like how Google won the search market. But I

The Bitter Lesson 2.0