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#52 – Michael Nielsen on being a wise optimist about science and technology

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Manage episode 473768188 series 2980472
Content provided by Sina Habibian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sina Habibian 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.

This is my conversation with Michael Nielsen, scientist, author, and research fellow at the Astera Institute.

Timestamps:
- (00:00:00) intro
- (00:01:06) cultivating optimism amid existential risks
- (00:07:16) asymmetric leverage
- (00:12:09) are "unbiased" models even feasible?
- (00:18:44) AI and the scientific method
- (00:23:23) unlocking AI's full power through better interfaces
- (00:30:33) sponsor: Splits
- (00:31:18) AIs, independent agents or intelligent tools?
- (00:35:47) autonomous military and weapons
- (00:42:14) finding alignment
- (00:48:28) aiming for specific moral outcomes with AI?
- (00:54:42) freedom/progress vs safety
- (00:57:46) provable beneficiary surveillance
- (01:04:16) psychological costs
- (01:12:40) the ingenuity gap

Links:
- Michael Nielsen: https://michaelnielsen.org/
- Michael Nielsen on X: https://x.com/michael_nielsen
- Michael's essay on being a wise optimist about science and technology: https://michaelnotebook.com/optimism/
- Michael's Blog: https://michaelnotebook.com/
- The Ingenuity Gap (Tad Homer-Dixon): https://homerdixon.com/books/the-ingenuity-gap/

Thank you to our sponsor for making this podcast possible:
- Splits: https://splits.org

Into the Bytecode:
- Sina Habibian on X: https://twitter.com/sinahab
- Sina Habibian on Farcaster: https://warpcast.com/sinahab
- Into the Bytecode: https://intothebytecode.com

Disclaimer: This podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.

  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 473768188 series 2980472
Content provided by Sina Habibian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sina Habibian 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.

This is my conversation with Michael Nielsen, scientist, author, and research fellow at the Astera Institute.

Timestamps:
- (00:00:00) intro
- (00:01:06) cultivating optimism amid existential risks
- (00:07:16) asymmetric leverage
- (00:12:09) are "unbiased" models even feasible?
- (00:18:44) AI and the scientific method
- (00:23:23) unlocking AI's full power through better interfaces
- (00:30:33) sponsor: Splits
- (00:31:18) AIs, independent agents or intelligent tools?
- (00:35:47) autonomous military and weapons
- (00:42:14) finding alignment
- (00:48:28) aiming for specific moral outcomes with AI?
- (00:54:42) freedom/progress vs safety
- (00:57:46) provable beneficiary surveillance
- (01:04:16) psychological costs
- (01:12:40) the ingenuity gap

Links:
- Michael Nielsen: https://michaelnielsen.org/
- Michael Nielsen on X: https://x.com/michael_nielsen
- Michael's essay on being a wise optimist about science and technology: https://michaelnotebook.com/optimism/
- Michael's Blog: https://michaelnotebook.com/
- The Ingenuity Gap (Tad Homer-Dixon): https://homerdixon.com/books/the-ingenuity-gap/

Thank you to our sponsor for making this podcast possible:
- Splits: https://splits.org

Into the Bytecode:
- Sina Habibian on X: https://twitter.com/sinahab
- Sina Habibian on Farcaster: https://warpcast.com/sinahab
- Into the Bytecode: https://intothebytecode.com

Disclaimer: This podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.

  continue reading

52 episodes

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