No Priors: Artificial Intelligence | Technology | Startups Inside Deep Research with Isa Fulford: Building the Future of AI Agents
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Apr 24, 2025 
Isa Fulford, a key figure in deep research at OpenAI, discusses the evolution of AI agents with real-world capabilities. She highlights the importance of using human expert data and how reinforcement learning enhances agent functionality. Isa delves into the challenges of latency, safety, and the balance between functionality and trust as AI systems become more autonomous. She also shares predictions on the future of AI agents, including their potential to complete tasks more efficiently and develop a sense of 'taste' in their operations.
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Deep Research Synthesizes Knowledge
- Deep Research focuses on synthesizing information from many sources over read-only tasks.
- This supports knowledge work and aids progress toward AGI capable of new scientific discoveries.
Internal User Success Stories
- Users internally requested Deep Research to find specific academic papers and product recommendations.
- Sam Altman also used it extensively to buy things and track functionality.
When To Use Reinforcement Fine Tuning
- Use reinforcement fine tuning when your task is very different from existing data or critical for your workflow.
- Avoid it if model improvements on general use cases naturally keep progressing over time.