In this episode, Robert and Haley break down a game-changing talk by Noam Brown, the OpenAI scientist who stunned the TED AI Conference with a bold new vision for the future of artificial intelligence. Brown’s message? It’s time to go beyond scaling up data and processing power and dive into what he calls “system two thinking”—a deliberate, slower, human-like reasoning approach that mirrors how we tackle complex problems.

We explore how this shift underpins OpenAI’s new o1 model, which takes the concept of AI to another level by processing information more carefully, and why Brown believes this could outperform traditional scaling by a factor of 100,000x. With real-world applications in industries like healthcare, finance, and scientific research, o1’s potential impact goes far beyond chatbots and assistants.

We also discuss the business implications: Will enterprises pay for a slower but smarter AI? And what might this mean for big players like Google and Meta in the new AI arms race?

Join us as we dig into the psychology of AI’s next leap, the bold new strategic reasoning approach of the o1 model, and why patience (in both humans and machines) might be the secret to AI’s future success. If you’re interested in what’s next in artificial intelligence and how deep thinking could change the game, you don’t want to miss this one!

Rethinking AI: OpenAI’s Noam Brown and the Rise of “System Two” Thinking 11:00 Share

The Quantum Drift

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Rethinking AI: OpenAI’s Noam Brown and the Rise of “System Two” Thinking