Deep Research allows users to generate comprehensive reports on topics of interest, significantly enhancing their learning experience.

Most users of Deep Research utilize it for professional purposes, including academics and consultants, but it also serves personal use cases like shopping and travel recommendations.

The potential for hyper-personalized education tools is significant, as AI can now provide tailored learning experiences for each student.

The primary users of Deep Research include professionals engaged in knowledge work, such as market analysis, scientific research, and medical inquiries, as well as individuals seeking assistance with personal projects like travel planning.

Hyper-personalized education through AI enables students to learn in ways that are relevant to their interests, vastly improving engagement and effectiveness.

Future developments for deep research include incorporating private context and enabling it to take actions based on synthesized information.

Personalized education is crucial, as different roles within a company require tailored tools and workflows to enhance productivity.

To develop Deep Research, we created reinforcement learning tasks to teach the model browsing and data analysis capabilities, and provided it access to tools for training.

Parents are increasingly interested in AI-driven educational tools that can provide personalized learning experiences for their children.