In an exciting new development, OpenAI has unveiled its latest AI tool: deep research. This new feature is designed to assist people conducting detailed, thorough research, providing in-depth answers for complex subjects like finance, science, policy, and engineering. It’s also ideal for individuals looking to make well-informed purchases, such as cars, furniture, or appliances, which typically require extensive research.

What is ChatGPT Deep Research?

The deep research tool is an advanced addition to ChatGPT, aiming to go beyond quick responses. Instead, it helps users conduct detailed investigations by pulling information from multiple sources, including websites, articles, and databases. Unlike simple summaries or quick answers, this tool aims for a thorough analysis and precise information.

This feature is being launched to ChatGPT Pro users first, with a limit of 100 queries per month. OpenAI has plans to expand it to Plus and Team users soon, followed by Enterprise accounts. Although the tool is geo-targeted for now, OpenAI plans to broaden its availability over time, with integration for mobile and desktop apps coming later this month.

How Does Deep Research Work?

Using ChatGPT deep research is easy. Users simply select the “deep research” option in the composer, input their research query, and even attach relevant files or spreadsheets. The AI tool then goes to work, analyzing the information it finds, with results typically delivered in 5 to 30 minutes. Users will be notified when their search is complete.

Currently, the output is text-based, but OpenAI plans to enhance the tool with embedded images, data visualizations, and more sophisticated analytics in the future. Additionally, specialized data sources, including subscription-based resources, will be integrated to provide more comprehensive answers.

Accuracy and Reliability: Will It Really Deliver?

As with any AI system, the question of accuracy is crucial. ChatGPT deep research aims to be precise, but AI tools are still prone to errors like hallucinations or incorrect conclusions. To combat this, OpenAI has implemented a new feature that documents each output with clear citations and a summary of the AI’s thought process. This allows users to verify the information and ensure its accuracy.

Despite the added precautions, deep research’s reliability remains a point of concern. OpenAI has also used a newly-developed reasoning model called o3, optimized for web browsing and data analysis, to boost accuracy. During testing, the tool performed well against a series of tough questions, outperforming competitors in the process. However, OpenAI admits that deep research still has limitations. It may struggle with distinguishing credible sources from unreliable ones and occasionally make mistakes in formatting or citations.

The Implications for Knowledge Workers and Everyday Users

For those engaged in intensive knowledge work—whether in fields like engineering, policy analysis, or finance—deep research could become a game-changer. Professionals who rely on thorough research can benefit from having an AI assistant that gathers, analyzes, and synthesizes vast amounts of information across various sources.

On the other hand, for everyday users, this tool offers a way to conduct more informed decisions, such as buying major appliances or making complex purchases. However, OpenAI acknowledges that while deep research can save time, it’s not foolproof. Users must still exercise caution, verify data when necessary, and be aware of the tool’s limitations to ensure the results are reliable and relevant. As the tool evolves, its potential to make complex research more accessible to both professionals and general consumers could be enormous.

The Future of AI-Driven Research

While deep research may seem like a helpful tool for professionals and students, it’s not perfect yet. As OpenAI works to refine its capabilities, users will need to remain vigilant and double-check results. The rise of this tool also raises questions about the role of AI in education and knowledge discovery. Will users take the time to validate deep research’s conclusions, or will they rely on the AI’s output as a shortcut? Only time will tell how this technology will shape research habits and information gathering.

Despite its imperfections, deep research represents a major step forward in AI-powered research, with the potential to revolutionize how we collect and analyze information. Stay tuned as OpenAI continues to improve this groundbreaking feature.