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Ilya Sutskever (OpenAI Chief Scientist) — Why next-token prediction could surpass human intelligence

Asked Ilya Sutskever (Chief Scientist of OpenAI) about: * time to AGI * leaks and spies * what's after generative models * post AGI futures * working with MSFT and competing with Google * difficulty of aligning superhuman AI Hope you enjoy as much as I did! 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkeshpatel.com/p/ilya-sutskever * Apple Podcasts: https://apple.co/42H6c4D * Spotify: https://spoti.fi/3LRqOBd * Follow me on Twitter: https://twitter.com/dwarkesh_sp 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 - Time to AGI 00:05:57 - What’s after generative models? 00:10:57 - Data, models, and research 00:15:27 - Alignment 00:20:53 - Post AGI Future 00:26:56 - New ideas are overrated 00:36:22 - Is progress inevitable? 00:41:27 - Future Breakthroughs

Ilya SutskeverguestDwarkesh Patelhost
Mar 27, 202347mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
March 27, 2023
Duration
47m
Channel
Dwarkesh Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Asked Ilya Sutskever (Chief Scientist of OpenAI) about:

  • time to AGI
  • leaks and spies
  • what's after generative models
  • post AGI futures
  • working with MSFT and competing with Google
  • difficulty of aligning superhuman AI

Hope you enjoy as much as I did! 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒

𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 - Time to AGI 00:05:57 - What’s after generative models? 00:10:57 - Data, models, and research 00:15:27 - Alignment 00:20:53 - Post AGI Future 00:26:56 - New ideas are overrated 00:36:22 - Is progress inevitable? 00:41:27 - Future Breakthroughs

SPEAKERS

  • Ilya Sutskever

    guest
  • Dwarkesh Patel

    host
  • Narrator

    other

EPISODE SUMMARY

In this episode of Dwarkesh Podcast, featuring Ilya Sutskever and Dwarkesh Patel, Ilya Sutskever (OpenAI Chief Scientist) — Why next-token prediction could surpass human intelligence explores ilya Sutskever defends next‑token prediction as path to superintelligence Ilya Sutskever, OpenAI’s cofounder and chief scientist, argues that next‑token prediction, when scaled sufficiently, can both match and surpass human intelligence by implicitly modeling the underlying reality and human cognition that generate language.

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