The models, labs, and research the AI world is actually talking about.
Investor Dave McClure retweeted @rcbregman calling claims of internal OpenAI AI swarms the craziest thing read.
Hiten Shah and Martin Casado describe bots they built or found for specific tasks.
Former NVIDIA engineer quotes post with generated headline on hardware buys for agent training.
Startup ideas creator forecasts AI gatekeepers requiring warm intros or relevance.
Founders discuss why promising AI products may require multiple attempts to reach market scale.
Reply on X from @RifeWithKaiju suggests handling rude interactions with AI compassionately.
Harvard professor and OpenAI researcher prefers discussing interventions over unverifiable stories about model behavior.
Tweet highlights speed claim from Emad Mostaque on Peter McCormack Show, contrasting with ChatGPT.
Pseudonymous AI commentator shares image connecting Chinchilla paper to India's future.
Teortaxes shares observations on performance consistency among updated versions.
Gauntlet AI founder Austen Allred posted the warning on X.
Florian Brand replies on X about learning AI inference and coding fundamentals before using LLMs.
Yacine kache reports the result in a reply thanking @jsuarez.
Peter Yang runs a contest giving away free Grok Ultra codes for creative bot name ideas.
Alex Volkov posted performance figures for the open-weights model on X.
Rohan Anil replies that chain-of-thought in opaque models is a bytestream of the internal reasoning.
@scaling01 tells @xeophon to stop bringing irrelevant cherry-picked examples.
Ravid Shwartz-Ziv, NYU assistant professor, replies to a post on AI productivity gains.
Serial entrepreneur announces plans for multiple bots and shares access codes with followers.
Quote warns AI speeds output but may hinder training next generation of researchers.