Evolution Is Good at Creating Hardware That Has a Stable Baseline Mode

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Evolution is very good at accomplishing the goal of the job they need to do, but you get a freaking organism from one cell. I think that if you didn't know what embryonic development was, you would have no clue that what you're seeing is always going to make the same thing. The imperative to create the final you as you are now is there already. But it has a bunch of problem solving capacity such that if any, if any assumptions don't hold, if your cells are a weird size or you get the wrong number of cells, or there's a, you know, somebody stuck in electrode,. whatever, it will still get most of what it needs to do done

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