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Tamay Besiroglu on AI in 2030: Scaling, Automation, and AI Agents

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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://ro.player.fm/legal.

Tamay Besiroglu joins the podcast to discuss scaling, AI capabilities in 2030, breakthroughs in AI agents and planning, automating work, the uncertainties of investing in AI, and scaling laws for inference-time compute. Here's the report we discuss in the episode:

https://epochai.org/blog/can-ai-scaling-continue-through-2030

Timestamps:

00:00 How important is scaling?

08:03 How capable will AIs be in 2030?

18:33 AI agents, reasoning, and planning

23:39 Automating coding and mathematics

31:26 Uncertainty about investing in AI

40:34 Gap between investment and returns

45:30 Compute, software and data

51:54 Inference-time compute

01:08:49 Returns to software R&D

01:19:22 Limits to expanding compute

  continue reading

218 episoade

Artwork
iconDistribuie
 
Manage episode 444689053 series 1334308
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://ro.player.fm/legal.

Tamay Besiroglu joins the podcast to discuss scaling, AI capabilities in 2030, breakthroughs in AI agents and planning, automating work, the uncertainties of investing in AI, and scaling laws for inference-time compute. Here's the report we discuss in the episode:

https://epochai.org/blog/can-ai-scaling-continue-through-2030

Timestamps:

00:00 How important is scaling?

08:03 How capable will AIs be in 2030?

18:33 AI agents, reasoning, and planning

23:39 Automating coding and mathematics

31:26 Uncertainty about investing in AI

40:34 Gap between investment and returns

45:30 Compute, software and data

51:54 Inference-time compute

01:08:49 Returns to software R&D

01:19:22 Limits to expanding compute

  continue reading

218 episoade

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