{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Sina Habibian Podcast","title":"Jeffrey Quesnelle on Nous Research, large language models, and the human mind","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cc67b3db\"></iframe>","width":"100%","height":180,"duration":7542,"description":"This is my conversation with Jeffrey Quesnelle, cofounder of Nous Research.Timestamps:- (00:00:00) intro- (00:01:08) working with new technologies- (00:06:15) Nous Research origin story- (00:14:08) open frontiers in research- (00:26:07) fourier transforms for gradient compression- (00:32:58) math behind distributed training- (00:38:18) sponsor: Splits- (00:39:02) neural networks history and fundamentals- (00:51:29) the human mind and AI, hyperdimensional representation- (01:01:15) intuition and reasoning- (01:15:00) parallels with reinforcement learning- (01:19:15) the cat is out of the bag- (01:47:11) deeper mysteriesLinks:- Jeffrey Quesnelle: https://jeffq.com/- Jeffrey Quesnelle on X: https://x.com/theemozilla- Nous Research: https://nousresearch.com/- Psyche: https://nousresearch.com/nous-psyche/Thank you to our sponsor for making this podcast possible:- Splits: https://splits.orgSina:- Sina Habibian: https://sinahab.com- Sina Habibian on X: https://x.com/sinahabDisclaimer:This podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.","thumbnail_url":"https://img.transistorcdn.com/C3Wd3nszAU4QnHyhpqedAbSZfxHBJqOl1sGbIOINP3o/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYmU1/ZDA1NTc2MTI3MGQ5/OTAwYWVlMTk3OGNi/ODIwNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}