OpenAI has introduced a new AI agent called Deep Research, designed to carry out in-depth research tasks using ChatGPT. This model excels in areas like finance and science, providing detailed and reliable answers by analyzing text, images, and PDFs from the internet. Users can submit their queries and even attach files for context, with results delivered in a comprehensive report. Unlike the previous agent, Operator, which handles repetitive tasks like completing forms, Deep Research focuses on extensive research and verified sources. OpenAI aims to make advances towards Artificial General Intelligence (AGI) while enhancing user experience with features like data visualizations in future updates.
After its recent introduction of the AI agent “Operator,” OpenAI has now presented another innovative tool called “Deep Research.” This new agent is specially designed for in-depth research, leveraging the capabilities of ChatGPT to gather reliable information. Built on OpenAI’s cutting-edge models optimized for web browsing and Python analysis, Deep Research can intelligently sift through text, images, and PDFs available online.
OpenAI describes Deep Research as a resource for people engaged in intense knowledge work such as finance, science, and policy-making—basically anyone who needs detailed and dependable research. It is also beneficial for consumers conducting thorough research before making purchases.
Srinivas Narayanan, OpenAI’s VP of Engineering, emphasized that Deep Research represents “a new way of using AI to help us on complex knowledge tasks,” essentially acting like an expert consultant. Instead of spending hours on research, users can get significant insights in a fraction of the time.
Using Deep Research is straightforward. Users simply select the option from ChatGPT’s message composer and pose their question. Whether you’re looking for an analysis of streaming services or recommendations for a bicycle, just describe your needs. You can even attach files for context. Once your request is submitted, an interface will show the process, including the sources utilized for the research.
OpenAI estimates that completing a Deep Research request could take anywhere from 5 to 30 minutes, depending on its complexity. Users will be notified when the research is ready, and they can continue with other tasks in the meantime. The results will be presented as a comprehensive report in the chat.
Deep Research excels at delivering detailed answers supported by verified sources. In contrast, OpenAI’s GPT-4 is better suited for engaging in real-time conversations. However, for domain-specific inquiries that require depth and reliable sourcing, Deep Research stands out.
The main distinction from the previous agent, Operator, lies in their functionalities. While Operator can handle repetitive online tasks like filling out forms and shopping, Deep Research is tailored for in-depth investigations and problem-solving that professionals encounter in their work and personal lives.
As OpenAI continues to advance its technology, the upcoming enhancements will include embedded images and data visualizations in reports to enrich user experiences further.
The launch of Deep Research positions OpenAI closer to its overarching goal of developing artificial general intelligence (AGI), which it has long sought. The introduction of this tool also comes at a time when competitors like the Chinese AI model, DeepSeek, have gained significant attention. OpenAI CEO Sam Altman has praised DeepSeek’s capabilities but assures that their tools are significantly more advanced and useful.
Key Takeaways:
– Deep Research is OpenAI’s latest AI agent for comprehensive online research.
– Suitable for finance, science, and personal consumers looking for detailed insights.
– Operates through ChatGPT with simple requests and time-efficient responses.
– Differentiates itself from Operator, which focuses on completing quick, repetitive tasks.
– Future updates promise enhanced reporting features and visualization.
Published By: Unnati Gusain
Published On: Feb 3, 2025
Search terms: Deep Research, OpenAI AI agent, detailed research, ChatGPT functionalities, artificial general intelligence.
What is Deep Research: After Operator?
Deep Research: After Operator is the latest technology from OpenAI that creates advanced AI agents. It aims to help users by performing complex tasks more efficiently.
How is this new AI agent different from previous versions?
This new AI agent has improved capabilities, allowing it to understand and process information like a human. It can analyze data faster and provide more relevant insights, making it feel like a superpower.
Who is Sam Altman, and what did he say about the AI agent?
Sam Altman is the CEO of OpenAI. He described the AI agent as a “superpower,” highlighting its potential to change the way we work and solve problems.
What are some potential uses for this AI agent?
The AI agent can be used in various fields such as research, education, healthcare, and business. It can help users find information, make decisions, and automate tasks, making workflows smoother.
Is there any risk associated with the use of such advanced AI?
Yes, like any technology, there are risks. These include data privacy concerns and the potential for misuse. It’s important to implement safety measures as we explore the capabilities of this AI agent.
