In this episode, Curt and Gregory Chaitin examine whether scientific innovation has stalled since the 1920s, exploring the implications of algorithmic information theory for modern research. Chaitin shares his perspective on metabiology, complexity, and how the academy might be reimagined to foster breakthrough ideas.
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RESOURCES:
- Gregory Chaitin’s previous appearance on TOE: https://www.youtube.com/watch?v=zMPnrNL3zsE
- Algorithmic Information Theory (book): https://amzn.to/3BdBMxF
- Sean Carroll on TOE: https://www.youtube.com/watch?v=9AoRxtYZrZo
- Stephen Wolfram on TOE: https://www.youtube.com/watch?v=0YRlQQw0d-4
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