AI High Signal

The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.

The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.

The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.

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

I'm both surprised and also not at all

Pre-announcing the pre-announcement

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.

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

That’s what I call a bitter sense of humor.

I really love the full bandwidth transformer research - One of the beautiful works of art of this year! “For example, the Bytedance experiments suggest a variant of the Full Bandwidth Transformer might be comparable to a model of twice the size, implying significant savings in

nous shoulda just called it a wasian finetune and sidestepped all the criticism

Sounds like Notion because it is!

Anthropic proposes an answer to Wenfeng's question about continual learning: …have a smarter model write more .md files. It's impressive how far this goes, but I still believe that it's a crutch with a ceiling set by the pretrain's ability, just like RLMs are a context crutch.

Fable playing Pokemon just like me FR Great post on memory from Dr. "Strictly Bangers" @RLanceMartin

Highly recommended read. Learn how one of the most advanced agent memory systems works. Your memory system is one of the biggest levers you have in the harness. I also don't think a one-size-fits-all memory system exists today. Memory is something you constantly have to

Is this the largest ablation of harnesses and models ever performed?

neat

Hermes supremacy tweet #9138

thom just took away karpathy’s mote. 🤍

Inkling is ENSOULED!

wtf, this is excellent and actually somewhat scary. Thinky did this on a tiny compute and token budget, without any fancy architecture or RL tricks. This is the same level of achievement as 1017. Maybe better. This is FINALLY what can be expected of top-tier ex-Frontier staff.

Thanks @arcprize! One of my favorite eval for monitoring RL health🫡