The models, labs, and research the AI world is actually talking about.
Leon Derczynski questions overlap between developers facing verbose PRs and those using AI agents to code.
Official account of the open-access ML journal announces updated acceptance standards.
Academic retweets post on turning computer activity traces into reusable symbolic models.
AI researcher highlights poor quality of recent frontier model text as possible detection aid.
Investor Joe Lonsdale discusses zoning, power costs, and avoiding moral panics around AI infrastructure.
Nathan Labenz shares details on the upcoming episode with Zach Bratun-Glennon and Angela Yeung.
Andrew Curran posted that OpenAI advertising reached the milestone after 200 days.
Software engineer Dax Raad posted interest in funding projects to add humor to large language models.
Company states power limits AI growth and highlights a major deal plus partnerships.
Together AI contrasts past closed model funding with open source progress.
Together AI announced a major infrastructure agreement with Humain for an open source AI data center.
AI researcher Ted Xiao posts a reply on alignment using divine imagery.
Project Prometheus researcher Ted Xiao posted on X about alignment resembling divine judgment.
Company highlights speaker participation for its upcoming agent event.
Patrick McKenzie tweeted about spotting rapid output from an unnamed author.
Hugging Face retweeted the post about an upcoming blog with open training materials.
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.