Our "Beyond Neural Scaling laws" paper got a #NeurIPS22 outstanding paper award! Congrats Ben Sorscher, Robert Geirhos, @sshkhr16 & @arimorcos awards: blog.neurips.cc/2022/11/21/a… paper: arxiv.org/abs/2206.14486 🧵 xitter.cf/SuryaGanguli/status/15…

We’ve spent the past year developing new primitives for GPUs. We believe this enables new algorithms to change how machines learn, open new markets, and dramatically reshape AI’s cost structure. We have raised a $1 billion Series A, co-led by Index and Lux.

Looks like vLLM is cooked. It’s fucking slop anyway.

Bro talked to me 1.5hr in the boba shop but DID NOT ASK FOR MY NUMBER

>research paper stating their method is better than other method >Look inside >Comparing against an untuned baseline

wake up babe the freaking pope got schmidhuber'd

BREAKING: Meta, $META, took a $355 million tax break on Mark Zuckerberg’s $4 billion compensation by classifying him as a researcher, per the NYT

Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

uni student life

One of many lives deliveries happening autonomously with DoorDash Dot today. After the food’s placed, Dot makes sure nothing’s missing (this part can be faster). Then off to the races! 🏁 Dot is rapidly improving through these live orders happening everyday.

TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/asking-a…

Six degrees of Yann LeCun We mapped the coauthorship graph of every AI researcher on arXiv 🚀 Enter any two names to find the shortest path of papers connecting them What’s your @ylecun number? alphaXiv.org/number/@yann-le…

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

I deleted my previous post. I'm just going to post the entire statement page by page. It's a complicated situation. Statement: cims.nyu.edu/~tristanb/state… cims.nyu.edu/~tristanb/euler… cims.nyu.edu/~tristanb/ipm.p… cims.nyu.edu/~tristanb/bouss… github.com/tristanbuckmaster…

Over 300 original figures! An Illustrated Guide to AI Agents is now OUT on Kindle and other Ebook stores! Presses are rolling, print copies ship in a few weeks. @MaartenGr and I spent the last year and a half making the agent stack legible: memory, tools, planning, evaluation, multi-agent systems, and code agents. We're ecstatic to finally be able to share it with you! Agents are being adopted faster than they're being understood. Our bet is that a small number of concepts will outlast everything else in this field, so we spent the time identifying them and explaining them properly. Concepts and code. You build a working agent yourself along the way. Order here: Amazon: amazon.com/Illustrated-Guide… O'Reilly: oreilly.com/library/view/an-…

Little bit of a personal update in that it's been a year at Mistral, and I'm leaving soon. Interesting times focused on post-training engineering, which was actually new to me, some thoughts in thread