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Next-Level Research? OpenAI’s New ChatGPT Feature “Deep Research” Raises the Bar

Key Takeaways

  • OpenAI’s “deep research” helps users gather and analyze online data for detailed reports;
  • Running on OpenAI o3, the tool improves accuracy but may still misinterpret sources;
  • The new feature outperformed other AI models, such as GPT-4o and DeepSeek.
Next-Level Research? OpenAI’s New ChatGPT Feature “Deep Research” Raises the Bar

OpenAI has introduced a new ChatGPT feature called “deep research”, which is designed to gather and analyze information from the internet. 

The feature is aimed at users who need detailed and accurate reports, particularly in fields like finance, science, policy, and engineering. It can also help with research before making major purchases, such as cars or home appliances.

According to OpenAI's blog post published on February 2, the company explains that the feature provides “fully documented” results, complete with citations and a summary of its reasoning. Depending on the request, it may take anywhere from five to thirty minutes to generate a response.

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“Deep research” runs on OpenAI’s latest model, OpenAI o3, which is designed to browse the web and analyze data more effectively. The model aims to improve accuracy by checking its own findings. However, OpenAI acknowledges that this new feature may still produce incorrect details or struggle to separate reliable sources from misleading ones.

The new agent recently performed well on a test called Humanity’s Last Exam, which consists of 3,000 expert-level questions across more than 100 topics. It achieved a 26.6% accuracy rate, higher than DeepSeek-R-1’s 9.4% and GPT-4o’s 3.3%.

This release follows OpenAI’s launch of another ChatGPT tool, Operator, on January 23. That feature was built for completing online tasks like booking travel or ordering groceries.

Recently, OpenAI and Microsoft investigated whether a group linked to Chinese AI company DeepSeek used OpenAI's data without permission. How did it go? Read the full story.

Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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