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Congrats, mentor!

Like Surya Ganguli I hope NSF pure math funding goes up (as does Surya Ganguli ) but it should be noted that lot of math gets funded in many other NSF divisions too.

Google link to apply: boards.greenhouse.io/deepmind/jobs/…

On Mar 9, they rejected my access to Llama 2 models on huggingface, and there's no button to re-apply. Who should I talk to to fix this? Hugging Face AI at Meta

It is time! Applications for the global Google PhD Fellowship Program are NOW open.

Papers I talked about: (1) One-model deja-vu memorization: arxiv.org/abs/2504.05651 (2) AgentDAM "data minimization" benchmark: arxiv.org/abs/2503.09780

(9/8) People suggested I study Primer (arxiv.org/abs/2109.08668). Their multi-dconv-head attention is what I call Canon-B (no-res)—and we found issues with it. Yet, Primer is underrated with just 180 citations. They found meaningful signals from noisy real-life exp that I couldn't

This person seems stressed and is spreading false rumors on our project. To clarify: this PDF is from our peer-reviewed spotlight paper accepted at ICLR 2025. We have 4 papers accepted at ICLR'25 (Parts 2.1, 2.2, 3.2, 3.3). I suggest you find healthier outlets to cope with stress

Please stop spreading false rumors. This full arxiv paper underwent peer review. After 30 minutes of discussion, you’ve made no effort to verify the truth or retract the false claim despite my repeated requests. If you retract, I treat this as a misunderstanding, but you haven’t.

I've wasted too much energy on X, naively thinking any of it mattered. Now I'm truly disillusioned—but finally awake. I'm shedding distractions, returning fully to research and meaningful work. No more replies, only occasional updates. Thanks to the few who truly supported me.

No matter how AI evolves overnight—tech, career, how it may impact me—I remain committed to using "physics of language models" approach to predict next-gen AI. Due to my limited GPU access at Meta, Part 4.1 (+new 4.2) are still in progress, but results on Canon layers are shining

Facebook AI Research (FAIR) is a small, prestigious lab in Meta. We don't train large models like GenAI or MSL, so it's natural that we have limited GPUs. GenAI or MSL's success or failure, past or future, doesn't reflect the work of FAIR. It is important to make this distinction