Artwork

Content provided by Fin Moorhouse and Luca Righetti, Fin Moorhouse, and Luca Righetti. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fin Moorhouse and Luca Righetti, Fin Moorhouse, and Luca Righetti 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.
Player FM - Podcast App
Go offline with the Player FM app!

#60 – Jaime Sevilla on Trends in Machine Learning

1:30:47
 
Share
 

Manage episode 358049554 series 2607952
Content provided by Fin Moorhouse and Luca Righetti, Fin Moorhouse, and Luca Righetti. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fin Moorhouse and Luca Righetti, Fin Moorhouse, and Luca Righetti 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.

Jaime Sevilla is the Director of Epoch, a team of researchers investigating and forecasting the development of advanced AI. This is his second time on the podcast.

Over the next few episodes, we will be exploring the potential for catastrophe cause by advanced artificial intelligence. Why? First, you might think that AI is likely to become transformatively powerful within our lifetimes. Second, you might think that such transformative AI could result in catastrophe unless we’re very careful about how it gets implemented. This episode is about understanding the first of those two claims.

Fin spoke with Jaime about:

  • We've seen a crazy amount of progress in AI capabilities in the last few months; even weeks. How should we think about that progress continuing into the future?
  • How has the amount of compute used to train AI models been changing over time? What about algorithmic efficiency?
  • Will data soon become a bottleneck in training state-of-the-art text models?

Further reading is available on our website: hearthisidea.com/episodes/sevilla

If you have any feedback, you can get a free book for filling out our new feedback form. You can also get in touch through our website or on Twitter. Consider leaving us a review wherever you're listening to this — it's the best free way to support the show. Thanks for listening!

  continue reading

90 episodes

Artwork
iconShare
 
Manage episode 358049554 series 2607952
Content provided by Fin Moorhouse and Luca Righetti, Fin Moorhouse, and Luca Righetti. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fin Moorhouse and Luca Righetti, Fin Moorhouse, and Luca Righetti 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.

Jaime Sevilla is the Director of Epoch, a team of researchers investigating and forecasting the development of advanced AI. This is his second time on the podcast.

Over the next few episodes, we will be exploring the potential for catastrophe cause by advanced artificial intelligence. Why? First, you might think that AI is likely to become transformatively powerful within our lifetimes. Second, you might think that such transformative AI could result in catastrophe unless we’re very careful about how it gets implemented. This episode is about understanding the first of those two claims.

Fin spoke with Jaime about:

  • We've seen a crazy amount of progress in AI capabilities in the last few months; even weeks. How should we think about that progress continuing into the future?
  • How has the amount of compute used to train AI models been changing over time? What about algorithmic efficiency?
  • Will data soon become a bottleneck in training state-of-the-art text models?

Further reading is available on our website: hearthisidea.com/episodes/sevilla

If you have any feedback, you can get a free book for filling out our new feedback form. You can also get in touch through our website or on Twitter. Consider leaving us a review wherever you're listening to this — it's the best free way to support the show. Thanks for listening!

  continue reading

90 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play