IBL News | New York
On Sunday, OpenAI launched Deep Research in ChatGPT, a new agentic capability that conducts multi-step research on the Internet for complex tasks.
After a prompt, OpenAI’s next agent finds, analyzes, and synthesizes hundreds of online sources to create a comprehensive report at the level of a research analyst. The user can attach files or spreadsheets to add context to his question. Once it starts running, a sidebar appears with a summary of the steps taken and sources used.
It’s powered by a version of the upcoming OpenAI o3 model optimized for web browsing and data analysis. It leverages reasoning to search, interpret, and analyze massive amounts of online text, images, and PDFs.
“The ability to synthesize knowledge is a prerequisite for creating new knowledge. For this reason, deep research marks a significant step toward our broader goal of developing AGI, which we have long envisioned as capable of producing novel scientific research,” said the company.
Deep Research has been built for people who do intensive knowledge work in areas like finance, science, policy, and engineering and need thorough, precise, and reliable research.
It can be equally helpful for discerning shoppers looking for hyper-personalized recommendations on purchases that require careful research, like cars, appliances, and furniture.
Every output is fully documented, with precise citations and a summary of its thinking, making it easy to reference and verify the information. It is particularly effective at finding niche, non-intuitive information that would require browsing numerous websites.
Deep research may take 5 to 30 minutes to complete, taking the time needed to dive deep into the web.
“Deep Research’s ability to conduct extensive exploration and cite each claim is the difference between a quick summary and a well-documented, verified answer usable as a work product,” said OpenAI.
OpenAI said it’s making deep research available to ChatGPT Pro users today, limited to 100 queries per month, with support for Plus and Team users coming next, followed by Enterprise.
Google announced a similar AI feature with the same name less than two months ago.
