LLMs

An Interview With Daniel Gross and Nat Friedman about the Democratization of AI

I've learned so much from @hubermanlab, but podcasts make recall and discovery challenging. Huberman AI uses the latest models from @openai to search every episode with Google-level accuracy and summarize the results. https://t.co/1nctiAIuGO https://t.co/VpjnY2NcpM

riley tomasek twitter.com

sari

Language models can take a big chunk of text and smush it down like a foot crushing a can of Coke. Except it doesn’t come out crushed—it comes out as a perfectly packaged and proportional mini-Coke. And it’s even drinkable! This is a Willy Wonka-esque magic trick, without the Oompa Loompas.

sari

LLMs are mid. It does a good job at getting the average and this is useful in many areas where this is tough. When you want "good", LLMs let you down. We underestimate the impact doing things to a "mid" level will have on the world.

Ian Vanagas

People need to be more thoughtful building products on top of LLMs. The fact that they generate text is not the point.

thesephist.com stream.thesephist.com

sari

March 2023 AI Overview for Boards

docs.google.com

ssari

nice overview of why every company needs an AI strategy

"A key challenge of (LLMs) is that they do not come with a manual! They come with a “Twitter influencer manual” instead, where lots of people online loudly boast about the things they can do with a very low accuracy rate, which is really frustrating..."

Simon Willison, attempting to explain LLM

Johann Van Tonder

NFX’s Generative Tech Open Source Market Map

docs.google.com

Darren LI

Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers

arxiv.org

sari