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Sparse LLM workshop will run on Sunday with two poster sessions, a mentoring session, 4 spotlight talks, 4 invited talks and a panel session. We'll host an amazing lineup of researchers: Dan Alistarh Vithu Thangarasa Yuandong Tian Amir Yazdan Gintare Karolina Dziugaite Olivia Hsu Pavlo Molchanov Yang Yu

Consistency..

The Leaderboard Illusion - Identifies systematic issues that have resulted in a distorted playing field of Chatbot Arena - Identifies 27 private LLM variants tested by Meta in the lead-up to the Llama-4 release

I implemented an LLM end-to-end in hardware, and ran it on an FPGA. Zero Python. Zero CUDA. Just pure SysVerilog. All my progress + everything I learned from 200h of LLM chip design (demo at the end)👇

Some years ago, I got trapped in a Massive Trough of Imposter Syndrome. It took more than a year to dig myself out of it, but the following framework really helped me. It feels a bit vulnerable to share, but I hope it might help a few others too! A short thread 🧵🙂

Is he going to put tariffs on research being done outside the US?!

Data is the new attention!

Dudeeee a flash model and a flashy hardware!

The best kind of dog is the underdog!

focus on your energy:

AlphaEvolve, our new Gemini-powered coding agent, can help engineers + researchers discover new algorithms and optimizations for open math + computer science problems.  We’ve used it to improve the efficiency of our data centers (recovering 0.7% of our fleet-wide compute

AI is secretly controlling us!

Just one more improvement.

More agents?

Giving your models more time to think before prediction, like via smart decoding, chain-of-thoughts reasoning, latent thoughts, etc, turns out to be quite effective for unblocking the next level of intelligence. New post is here :) “Why we think”: lilianweng.github.io/posts/2025-05-…

Introducing The Darwin Gödel Machine: AI that improves itself by rewriting its own code sakana.ai/dgm The Darwin Gödel Machine (DGM) is a self-improving agent that can modify its own code. Inspired by evolution, we maintain an expanding lineage of agent variants,

used gemini 2.5 pro to build a simple shot counter for myself + give jordan feedback per shot.

Hardware is the moat that buys you time to build the software castle.