Matt Clifford

Great, long compilation of Charlie Munger letters, courtesy of @maxolson

Good, thoughtful thread from Jordan

Truly exceptional book

Great thread on an approach to scaling token windows to >1m tokens. New important ideas emerging every day…

Interesting paper: “Chameleon is capable of synthesizing programs to compose various tools to tackle a broad range of queries. While it does not require any training, Chameleon uses the in-context learning capabilities of LLMs to generate these programs”

This is very true. I’ve probably shared “The Scaling Hypothesis” more than any other post. From 2020, but still essential reading:

Great post by @simonw that points to a lot of near-term AI safety / security challenges

Superb thread on a fascinating paper. Lots and lots of ideas here - especially the third tweet on composable system design for AI

Good thread and report on China’s semiconductor capabilities with respect to AI. Worth a read👇

Ian is one of the smartest and wisest people I know; this is worth a read👇

Very interesting hypothesis; worth a read and ponder! (though note caveat in final tweet of thread)

Fascinating work: “These models hold the promise to have context lengths of millions… or maybe even a billion!” Also shows huge power of new primitives in ML: even if there were *no* more research, remixing of existing ideas would take us a long way…