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Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
The bitter lesson in 26 words:
Donβt be distracted by human knowledge, as AI has been historically.
Instead focus on methods for creating knowledge that scale with computation, like search and learning.
@garymlin@OpenAI@omni Congratulations Gary! I want you ask you a few questions about your current role but I'm unable to send you a DM, Can you lmk the best way to reach you?
Reposting my notes I published a while ago from prepping for interviews at top AI labs including @OpenAI, @AnthropicAI , @GoogleDeepMind , @theworldlabs and others revisiting core concepts in large-scale ML design and optimization for efficient model training and inference.
With @radixark launching today, feels like the right time to resurface these. We're living in a token-intensive economy and these optimizations are only getting more critical.
That's it for #ICLR2026! See you all next year in the US! Please welcome @jacobandreas as the new Senior Program Chair (with @BharathHarihar3 continuing on as the General Chair)
1. I never said LLMs were not useful. They are, particularly with all the bells and whistles that are being added to them. I use them.
2. A robot-rich future can't be built with AIs that don't understand the physical world and don't anticipate the consequences of their actions. And LLMs really don't.
3. The future in the cartoon looks pretty dystopian TBH, but even a non-dystopian version will require world models and zero-shot planning abilities.
4. I rarely wear a suit and absolutely never wear a tie.
5. I would never ever place a coffee mug on top of a piece equipment.
6. I hope I'll look this young in 2032.