Training Data OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents
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Feb 25, 2025 
Isa Fulford and Josh Tobin, product leads at OpenAI, dive into the groundbreaking capabilities of the Deep Research agent. They discuss how this technology revolutionizes AI by training models end-to-end without traditional coding. The duo emphasizes the importance of high-quality training data and the o3 model's reasoning skills, enabling it to streamline complex tasks and enhance productivity. They explore how Deep Research can transform knowledge work and highlight the growing role of reinforcement learning in AI's future.
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Deep Research Overview
- Deep Research is an AI agent that conducts online research and creates comprehensive reports.
- It completes tasks in minutes that would take humans hours, offering detailed answers and specific sources.
Reasoning Paradigm
- OpenAI's Deep Research uses a novel 'reasoning paradigm', enabling more complex, longer-horizon tasks.
- This approach allows the model to handle real-world tasks requiring online research and source discrimination.
Car Release Date Research
- Sonya Huang used Deep Research to investigate new car release dates, sifting through speculation and facts.
- The report advised waiting a few months, demonstrating Deep Research's consumer application.