The models, labs, and research the AI world is actually talking about.
Wharton professor Ethan Mollick posted that Claude text is now easily spotted by detectors.
Investor highlights video models as interfaces in new RunwayML work.
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.
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.
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.
Nathan Labenz shares Prakash's prediction during an AI discussion broadcast.
Y Combinator co-founder shares observation on social media about LLMs.