World Model · podcast knowledge graph

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

2025-04-24 · 31 min · 14 entities

Asserted relationships

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    Inside Deep Research with Isa Fulford: Building the Future of AI Agents
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    Feed author/publisher: Conviction

Entities found in this episode

concepts 9

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    evidence rules-v4
    Feed category: Science
  • mentioned Technology concept
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    evidence rules-v4
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    evidence rules-v4
    Inside Deep Research with Isa Fulford: Building the Future of AI Agents
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
    0.40
    evidence rules-v4
    Feed category: Business
  • discusses Entrepreneurship concept
    0.40
    evidence rules-v4
    Feed category: Entrepreneurship

persons 2

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    evidence rules-v4
    Inside Deep Research with Isa Fulford: Building the Future of AI Agents
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companys 2

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    evidence rules-v4
    Feed author/publisher: Conviction
  • hosted by Conviction company
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    evidence rules-v4
    Feed author/publisher: Conviction

podcasts 1

Episode description as stored
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 show@no-priors.com 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