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Inside Deep Research with Isa Fulford: Building the Future of AI Agents

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Manage episode 478760742 series 3444082
Content provided by Conviction. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Conviction 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://podcastplayer.com/legal.

On this episode of No Priors, Sarah sits down with Isa Fulford, one of the masterminds behind deep research. They unpack how the initiative began, the role of human expert data, and what it takes to build agents with real-world capability and even taste. Isa shares the differences between deep research and OpenAI’s o3 model, the challenges around latency, and how she sees agent capabilities evolving. Plus, OpenAI has announced that deep research is free for all US users starting today.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @IsaFulf

Show Notes:

0:00 Deep research’s inception & evolution

6:12 Data creation

7:20 Reinforcement fine-tuning

9:05 Why human expert data matters

11:23 Failure modes of agents

13:55 The roadmap ahead for Deep Research

18:32 How do agents develop taste?

19:29 Experience and path to building a broadly capable agent

22:03 Deep research vs. o3

25:55 Latency

27:56 Predictions for agent capabilities

  continue reading

113 episodes

Artwork
iconShare
 
Manage episode 478760742 series 3444082
Content provided by Conviction. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Conviction 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://podcastplayer.com/legal.

On this episode of No Priors, Sarah sits down with Isa Fulford, one of the masterminds behind deep research. They unpack how the initiative began, the role of human expert data, and what it takes to build agents with real-world capability and even taste. Isa shares the differences between deep research and OpenAI’s o3 model, the challenges around latency, and how she sees agent capabilities evolving. Plus, OpenAI has announced that deep research is free for all US users starting today.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @IsaFulf

Show Notes:

0:00 Deep research’s inception & evolution

6:12 Data creation

7:20 Reinforcement fine-tuning

9:05 Why human expert data matters

11:23 Failure modes of agents

13:55 The roadmap ahead for Deep Research

18:32 How do agents develop taste?

19:29 Experience and path to building a broadly capable agent

22:03 Deep research vs. o3

25:55 Latency

27:56 Predictions for agent capabilities

  continue reading

113 episodes

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