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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Formatting Tips
- Request formatted tables from Deep Research for organized, cited information.
- Include images and graphs for richer results, a potential upcoming feature.
Model Selection
- Deep Research excels with detailed requests needing extensive online information.
- Use the O-series models for coding tasks or questions within the model's existing knowledge.
Deep Research's Magic
- Deep Research's success combines real-time web access with chain-of-thought reasoning.
- Fine-tuning O3, a powerful reasoning model, enhances its analytical abilities.