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The Foresight Institute Podcast

David Dalrymple | Rethinking Uploading Given 10-Year AI Timelines

Nov 17, 2023
Neuroinformatics and machine learning researcher David Dalrymple discusses a 10-year plan for brain uploading, AI techniques for parameter estimation, challenges of dense brain data transfer, and potential solutions. Also explores techniques and challenges in studying synapses and receptors in the brain and building datasets for AI learning.
08:24

Episode guests

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Quick takeaways

  • The use of expansion microscopy and immunofluorescence shows promise for brain uploading within the next 10 years.
  • Validation techniques involving human brain slices and computational models can help fill in parameters for deeper understanding of the system.

Deep dives

Rethinking uploading with neural dust and expansion microscopy

In this podcast episode, David Dalvin discusses his perspective on rethinking uploading, focusing on two approaches that have potential. The first approach involves using neural dust and ultrasound to record and communicate with the living human brain. However, the challenge lies in the need for super high-resolution magnetic field imaging, which may not be possible within the next 10 years. The second approach utilizes expansion microscopy, which allows for high-resolution imaging of synapses. By incorporating techniques like m-cling or heavy metal stains, it may be possible to combine expansion microscopy with electron microscopy for further analysis. Although there are challenges, such as the need to tag dozens of proteins and develop highly scalable robotic sample slicing, these approaches present possibilities for advancing uploading.

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