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BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

FromBrain Inspired


BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

FromBrain Inspired

ratings:
Length:
87 minutes
Released:
Apr 26, 2021
Format:
Podcast episode

Description

Randal, Ken, and I discuss a host of topics around the future goal of uploading our minds into non-brain systems, to continue our mental lives and expand our range of experiences. The basic requirement for such a subtrate-independent mind is to implement whole brain emulation. We discuss two basic approaches to whole brain emulation. The "scan and copy" approach proposes we somehow scan the entire structure of our brains (at whatever scale is necessary) and store that scan until some future date when we have figured out how to us that information to build a substrate that can house your mind. The "gradual replacement" approach proposes we slowly replace parts of the brain with functioning alternative machines, eventually replacing the entire brain with non-biological material and yet retaining a functioning mind.




Randal and Ken are neuroscientists who understand the magnitude and challenges of a massive project like mind uploading, who also understand what we can do right now, with current technology, to advance toward that lofty goal, and who are thoughtful about what steps we need to take to enable further advancements.



Randal A KoeneTwitter: @randalkoeneCarboncopies Foundation.Randal's website.Ken HayworthTwitter: @KennethHayworthBrain Preservation Foundation.Youtube videos.



Timestamps
0:00 - Intro
6:14 - What Ken wants
11:22 - What Randal wants
22:29 - Brain preservation
27:18 - Aldehyde stabilized cryopreservation
31:51 - Scan and copy vs. gradual replacement
38:25 - Building a roadmap
49:45 - Limits of current experimental paradigms
53:51 - Our evolved brains
1:06:58 - Counterarguments
1:10:31 - Animal models for whole brain emulation
1:15:01 - Understanding vs. emulating brains
1:22:37 - Current challenges
Released:
Apr 26, 2021
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.