The models, labs, and research the AI world is actually talking about.
Together AI announced a major infrastructure agreement with Humain for an open source AI data center.
Investor Joe Lonsdale discusses zoning, power costs, and avoiding moral panics around AI infrastructure.
Wharton professor Ethan Mollick posted that Claude text is now easily spotted by detectors.
Investor Gokul Rajaram calls the work by Cristóbal Valenzuela and RunwayML groundbreaking.
Y Combinator co-founder shares observation on social media about LLMs.
Google DeepMind researcher Jon Barron posted part two of his talk on vision research.
Symposium featured startups working on molecular design and autonomous robotics for science applications.
The former Google employee will serve as a Member of Technical Staff.
Replit highlights Michele Catasta building Free Mode after two decades of work.
Patrick McKenzie tweeted about spotting rapid output from an unnamed author.
Hugging Face retweeted the post about an upcoming blog with open training materials.
YouTube channel posts about 8pm conference on language model training and interpretability.
Tweet from machine learning engineer suggests matching fine-tuning to inference cache behavior.
Co-founder Sudip Roy will explain why continuous learning beats scaling for moving AI pilots into production.
Retweet discusses possible first use of terminal guidance by the drone before impact.
The executive at the open source AI platform flags the new upload.
Hugging Face engineer shares video and slides from his CERN talk on training large language models.
DeepMind researcher Nenad Tomasev replies to @hardmaru on reframing RSI.
The Gauntlet AI founder posted a brief question on the platform.
Retweet highlights recommendation to study forums for better prompting of language models.