The models, labs, and research the AI world is actually talking about.
Jane Manchun Wong reported Cognition developing an Oncall tool powered by Devin.
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.
Google DeepMind researcher posts video of his workshop talk split into parts for discussion.
OpenAI researcher roon compares multi-agent AI to human organizations in scale.
OpenAI staffer lists traits shown by AI agents and questions what else defines a civilization.
AI company announces support for code review platform scaling to new users.
The LightCell Energy CEO comments on an AI system's performance against built-in difficulty in the strategy game.
Tweet suggests AI monitors to prevent internal sabotage by autonomous agents in firms.
The AI startup shares its changelog for the latest agent software update.
A reply on X faults Anthropic policies for blocking routine requests through the Claude API.
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.