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Roadmapping Science with Adam Marblestone [Idea Machines #26]

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Content provided by Benjamin Reinhardt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Benjamin Reinhardt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode I talk to Adam Marblestone about technology roadmapping, scientific gems hidden in plain sight, and systematically exploring complex systems. Adam is currently a research scientist at Google DeepMind and in the past has been the chief strategy officer at a brain-computer interface company and did research on brain mapping with Ed Boyden and did his PhD with George Church. He has a repeated pattern of pushing the frontiers in one discipline after another - physics, biology, neuroscience, and now artificial intelligence. I wanted to talk to Adam not just because it’s fascinating when people are able to push the frontier in multiple disciplines but because he does it through a system he calls technological roadmapping.

Most of our discussion is framed around two of Adam’s works - a presentation about roadmapping biology and his primer on climate technology. The conversation stands on its own, but taking a glance at them will definitely enhance the context. Links below.

Key Takeaways

  1. Technological roadmapping enables fields to escape local maxima
  2. It might be possible to systematically break down complex technical disciplines into basic constraints in order to construct these roadmaps
  3. Figuring out these constraints may also enable us to reboot stalled fields

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  continue reading

50 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on December 12, 2024 17:24 (7M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 290073340 series 2911778
Content provided by Benjamin Reinhardt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Benjamin Reinhardt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode I talk to Adam Marblestone about technology roadmapping, scientific gems hidden in plain sight, and systematically exploring complex systems. Adam is currently a research scientist at Google DeepMind and in the past has been the chief strategy officer at a brain-computer interface company and did research on brain mapping with Ed Boyden and did his PhD with George Church. He has a repeated pattern of pushing the frontiers in one discipline after another - physics, biology, neuroscience, and now artificial intelligence. I wanted to talk to Adam not just because it’s fascinating when people are able to push the frontier in multiple disciplines but because he does it through a system he calls technological roadmapping.

Most of our discussion is framed around two of Adam’s works - a presentation about roadmapping biology and his primer on climate technology. The conversation stands on its own, but taking a glance at them will definitely enhance the context. Links below.

Key Takeaways

  1. Technological roadmapping enables fields to escape local maxima
  2. It might be possible to systematically break down complex technical disciplines into basic constraints in order to construct these roadmaps
  3. Figuring out these constraints may also enable us to reboot stalled fields

Links

  continue reading

50 episodes

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