Nathan Lambert
RLHF researcher and author of Interconnects.ai blog
Appears in 35 Episodes
Developing LLMs: Open, closed, or democratic?
This is a big one. Getting going on if LLMs should be more open or more closed. We cover everything, OpenAI, scaling, openness for openness sake (relative to OpenAI), ...
As Above, So Below: Alchemy, AI Safety, and RLHF
Tom and Nate discuss a few core topics of the show. First, we touch base on the core of the podcast -- the difference between empirical science, alchemy, and magic. Ne...
AI in public: education, roads, and institutions
Tom and Nate discuss some of the public institutions that form the bedrock of society -- education and roads -- and how AI is poised to shake them up.Some related read...
Alchemy, Oppenheimer, and the quest for AGI
Tom and Nate discuss some of the most dominant metaphors in machine learning these days -- alchemy and deep learning's roots, the Oppenheimer film and a modern "Manhat...
Teaser: Welcome to The Retort
A brief introduction to the many problems facing AI and a sneak peak into episode 1, coming soon!