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

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Manage episode 444689053 series 1334308
Innhold levert av Gus Docker and Future of Life Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Gus Docker and Future of Life Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

Artwork
iconDel
 
Manage episode 444689053 series 1334308
Innhold levert av Gus Docker and Future of Life Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Gus Docker and Future of Life Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

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