Skip to main content

Turn any podcast RSS feed into searchable transcripts, summaries, and episode chat.

No card • 10 free transcript credits
Sign up free with Google
No Priors: Artificial Intelligence | Technology | Startups
Inside Deep Research with Isa Fulford: Building the Future of AI Agents
No Priors: Artificial Intelligence | Technology | Startups

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

Conviction 30m 12 months ago
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com. Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners. Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

Show Notes

Tap timecodes to jump
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:
Deep research’s inception & evolution
Data creation 
Reinforcement fine-tuning
Why human expert data matters
Failure modes of agents
The roadmap ahead for Deep Research
How do agents develop taste? 
Experience and path to building a broadly capable agent
Deep research vs. o3
Latency
Predictions for agent capabilities

Transcript not yet processed.

Sign in to unlock (1 credit)

Full transcripts, AI insights,
episode chat — free.

Sign up with Google in one click. 10 unlock credits included. No card needed.

Google sign-in · No credit card · Cancel anytime