OpenAI's Deep Research Agent in 8 Minutes

Summary

OpenAI has launched 'Deep Research,' a new AI agent designed for multi-step research workflows. Available to ChatGPT Pro users, this agent can perform detailed internet-based research, gather data from various sources like websites, images, and PDFs, and create comprehensive reports in 5-30 minutes. Powered by an upcoming OpenAI model optimized for web browsing and data analysis, Deep Research can synthesize complex data and generate visualizations, offering significant time-saving benefits for tasks in fields like finance, science, and policy. While it’s still limited, it promises future enhancements and wider access.

Takeaways

• 😀 Deep Research is OpenAI's second AI agent, after Operator, designed to conduct multi-step research workflows.
• 😀 The agent can generate comprehensive research reports in 5 to 30 minutes by searching through multiple websites and sources.
• 😀 The model is powered by one of the upcoming OpenAI 03 models optimized for web browsing and data analysis.
• 😀 Deep Research can reason for its search, analyze text-heavy tasks, and even interpret code to create visualizations.
• 😀 It can also process and analyze various assets, such as images and PDFs found on the web.
• 😀 This feature is targeted toward knowledge workers in fields like finance, science, policy, and engineering, but also for tasks like personalized shopping recommendations.
• 😀 Deep Research will be available to ChatGPT Pro users for $200 a month, with future availability for ChatGPT Plus users.
• 😀 Users can submit queries and attach files, and the tool will deliver detailed reports with all cited sources within 5 to 30 minutes.
• 😀 The agent uses reinforcement learning to plan, execute, and backtrack in real-time, ensuring more accurate research reports.
• 😀 Deep Research also includes advanced features such as generating graphs from Python and incorporating images from web sources into the reports.
• 😀 OpenAI aims to improve the model over time, addressing limitations like formatting errors and hallucinations, with future plans for a more cost-effective, faster version.

Q & A

What is OpenAI's new AI agent, Deep Research, designed to do?

Deep Research is an AI agent that plans and executes multi-step research workflows. It is designed to conduct thorough and detailed research tasks that would typically take humans many hours, completing them in about 5 to 30 minutes.

How does the Deep Research AI agent operate?

Deep Research first clarifies the query by asking follow-up questions. Once it has the correct details, it starts researching, visiting multiple websites, collecting data, and processing information to create a comprehensive research report.

What are the main capabilities of the Deep Research model?

Deep Research is optimized for web browsing and data analysis, allowing it to search through websites, analyze large amounts of text, images, and PDFs, and generate reports. It also includes a code interpreter for creating data visualizations.

What makes Deep Research different from the previous models like GPT-4?

Deep Research is optimized for tasks that require extensive research, reasoning, and data analysis. Unlike GPT-4, it can plan and execute multi-step processes, backtrack when necessary, and provide highly detailed reports with cited sources.

What kind of tasks is Deep Research best suited for?

Deep Research is particularly useful for tasks in areas such as finance, science, policy, engineering, and even shopping for personalized recommendations. It's designed for knowledge workers who need thorough, precise, and reliable research.

How does Deep Research handle large amounts of data?

Deep Research can process large volumes of data, including hundreds of pages of text, and can also analyze images and PDFs. It searches and extracts relevant information from a wide variety of online sources, offering detailed insights.

What are the benefits of using Deep Research for business or UX Design tasks?

Deep Research can provide in-depth reports with extensive references and evidence, which can be especially valuable for UX Design and business tasks. It can search for detailed studies and metrics that help support decisions, such as the usability of design elements.

What is the cost of accessing Deep Research, and how can users access it?

Deep Research is available through the ChatGPT Pro plan, which costs $200 per month. Users can input their queries and receive detailed reports with cited sources. Access to this feature is limited to Pro users for now, with broader availability expected later.

How is Deep Research trained, and what technology powers it?

Deep Research is powered by OpenAI's 03 model, which is optimized for web browsing and data analysis. It was trained using end-to-end reinforcement learning on various tasks requiring browsing and reasoning across multiple domains.

What are some limitations of the Deep Research model?

Despite its advanced capabilities, Deep Research can still produce inaccurate facts or minor formatting errors. Additionally, it can sometimes hallucinate information, though this is expected to improve over time as the system evolves.