Joe G presented on an unknown pdf extraction model from China and Nemo texted the founders “hey a guy here at AI Tinkerers is showing your stuff” vibes :)

We verified the TRM results on the semi private holdout set and they're legit Awesome work and contribution to the open source community by Alexia Jolicoeur-Martineau My notes: * This model is tiny! 7M params, but the rub is that it is relatively expensive to run because pre-training and

So... how does AI work anyway? Ishan Anand demystifies LLM internals for web devs using a real LLM implemented entirely in vanilla JavaScript that runs in the browser. No Ph.D. needed! Link to our YouTube video in the reply and subscribe to get notified when we ship more videos

We are beyond thrilled to share our first flagship models, Rnj-1 base and instruct 8B parameter models. Rnj-1 is the culmination of 10 months of hard work by a phenomenal team, dedicated to advancing American SOTA OSS AI. Lots of wins with Rnj-1. 1. SWE bench performance close

Getting a survey about Gen AI feedback tools while using a Gen AI tool seems awfully meta

agree continual learning very top of mind, but people only seem to have questions and no strong answers other notable neurips takes (see also my subagent RLaaS comments earlier this week) - researchers* surprisingly dont care about: - Deepseek OCR - Muon/MuonClip -

Beautiful rendition of Auld Lang Syne. Happy new years, shoutout to all my friends who made this an amazing year especially Dev Agrawal, Nick Taylor, Ishan Anand, Eric J. Michaud, and Christopher Burns for joining me for multiple streams this year.