Into the Bytecode #51 – Jeffrey Quesnelle on Nous Research, large language models, and the human mind
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Mar 18, 2025 
In this engaging conversation, Jeffrey Quesnelle, cofounder of Nous Research and an expert on large language models, shares insights into the intersection of AI and human cognition. He discusses the historical evolution of neural networks and how they parallel human reasoning. The dialogue explores the philosophical implications of AI consciousness and the importance of decentralized systems in technology. Quesnelle also emphasizes the balance between computational advancements and human creativity, revealing how meditation and artistic expression relate to AI's development.
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Value Personal Understanding
- Value your own understanding, especially if you prioritize it over economic output.
- AI cannot understand things for you; personal understanding has inherent value.
Nous Research Origin Story
- Jeffrey Quesnelle's work on extending AI context lengths led to the formation of Nous Research.
- A Reddit post, followed by Twitter interactions, connected him with his co-founders.
AI's Unexplored Frontier
- The AI field is currently a vast, unexplored scientific frontier.
- Simple experiments can yield significant results because many possibilities remain untried.