Is Software 2.0 the Future of Computer Science?

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The way we build computers at the root of computer science is the idea of proof of correctness. We program things to be perfect, reliable. The idea of resilience and robustness to unknown conditions is not as important. So, that's what biology is really good at. I don't know how we go from a computer to a biological system in the future.

Michael Levin is a biologist at Tufts University working on novel ways to understand and control complex pattern formation in biological systems. Please support this podcast by checking out our sponsors:
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Michael’s Twitter: https://twitter.com/drmichaellevin
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Michael’s Papers:
Biological Robots: https://arxiv.org/abs/2207.00880
Synthetic Organisms: https://tandfonline.com/doi/full/10.1080/19420889.2021.2005863
Limb Regeneration: https://science.org/doi/10.1126/sciadv.abj2164

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:40) – Embryogenesis
(14:08) – Xenobots: biological robots
(27:55) – Sense of self
(37:27) – Multi-scale competency architecture
(48:58) – Free will
(58:27) – Bioelectricity
(1:11:44) – Planaria
(1:23:33) – Building xenobots
(1:47:08) – Unconventional cognition
(2:11:39) – Origin of evolution
(2:18:42) – Synthetic organisms
(2:25:27) – Regenerative medicine
(2:29:14) – Cancer suppression
(2:33:15) – Viruses
(2:38:28) – Cognitive light cones
(2:43:03) – Advice for young people
(2:47:47) – Death
(2:57:17) – Meaning of life