Simon Willison
Yesterday’s hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab.
Summary drawn from Simon Willison's own description of the story.
TechCrunch
Called FlashProve, the system would let anyone check that an AI response really came from the model it claims to be from. Anthropic is working on an open source system to verify which AI model produced a given output, according to a blog post published Tuesday.
arXiv
This book provides a compact, derivation-oriented introduction to the mathematical foundations of modern generative artificial intelligence.
The Decoder
Stanford researchers tested 50 widely cited claims about LLMs against 20 current models. 44 percent of the findings are already "expired," and another 34 percent have weakened significantly.
The Verge
In many circles, "Ask Chat" has replaced "Google it," and that's reflected in a new announcement from OpenAI: the volume of search queries run through ChatGPT now equals 20 percent of the volume run through Google. Adam Fry, OpenAI's consumer product lead for ChatGPT, made the announcement at a press event on Monday.