Jeffrey Quesnelle on Nous Research, large language models, and the human mind

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 mysteries Links: - Jeffrey Quesnelle: - Jeffrey Quesnelle on X: - Nous Research: - Psyche: Thank you to our sponsor for making this podcast possible: - Splits: Sina: - Sina Habibian: - Sina Habibian on X: Disclaimer: 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.

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Jeffrey Quesnelle on Nous Research, large language models, and the human mind is an episode from Into the Bytecode by Sina Habibian.

This episode is 125:42 long.

This episode was published on Mar 18, 2025.

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