The models, labs, and research the AI world is actually talking about.
The former Google employee will serve as a Member of Technical Staff.
Replit highlights Michele Catasta building Free Mode after two decades of work.
Researcher Randall Balestriero posted about the fourth workshop and first conference on world models for physics.
MIT economist and Nobel laureate posted views on X about AI limits.
Professor emeritus shares assessment of DeepMind leader's research approach.
Retweet highlights recommendation to study forums for better prompting of language models.
Tweet highlights differences between how AI models and brains handle information.
Paper proposes BIT method that starts from text and interpolates directly into images.
Kim Isenberg compares usage caps across Anthropic subscription tiers in recent post.
Oxford professor replies that a unified lab structure is central to the group's work.
A tweet recounts advice given to a friend about conversing with LLMs.
Pseudonymous AI commentator @teortaxesTex calls the process a corrupt state-mandated Squid Game.
Steven Adler warns that reliance on AI firms for incident reports risks poor outcomes.
University of Washington professor replies to @ChrSzegedy on objective functions.
Symposium featured startups working on molecular design and autonomous robotics for science applications.
Chris Paxton retweeted a post calling out large robot bases as space wasters.
The ex-Facebook designer posted about a template that answers questions from his existing mail and files.
User posts plans to simulate collision avoidance and target following for incoming Microduck robot.
Google DeepMind researcher Jon Barron explains 3D's advantage in physical production tasks over video or intermediate models.
Google DeepMind researcher Jon Barron posted part two of his talk on vision research.