Why The AI Race Ends In Disaster (with Daniel Kokotajlo) Future Of Life Institute podcast

Content provided by Gus Docker and Future of Life Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gus Docker and Future of Life Institute 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.

Future of Life Institute Podcast »
Why the AI Race Ends in Disaster (with Daniel Kokotajlo)

1d ago 1:10:26

MP3•Episode home

On this episode, Daniel Kokotajlo joins me to discuss why artificial intelligence may surpass the transformative power of the Industrial Revolution, and just how much AI could accelerate AI research. We explore the implications of automated coding, the critical need for transparency in AI development, the prospect of AI-to-AI communication, and whether AI is an inherently risky technology. We end by discussing iterative forecasting and its role in anticipating AI's future trajectory.

You can learn more about Daniel's work at: https://ai-2027.com and https://ai-futures.org

Timestamps:

00:00:00 Preview and intro

00:00:50 Why AI will eclipse the Industrial Revolution

00:09:48 How much can AI speed up AI research?

00:16:13 Automated coding and diffusion

00:27:37 Transparency in AI development

00:34:52 Deploying AI internally

00:40:24 Communication between AIs

00:49:23 Is AI inherently risky?

00:59:54 Iterative forecasting

239 episodes

#Future Trends #Future Of Life Institute #Tech #Climate Change