OpenAI reveals new AI tool that can do online research for you
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OpenAI is further proving that 2025 is the year of agentic AI.The artificial intelligence giant revealed another new feature from ChatGPT this week, called Deep Research, which it claims can gather research from across the web and summarize it in easy-to-read reports.Deep research is OpenAIs next agent that can do work for you independentlyyou give it a prompt, and ChatGPT will find, analyze, and synthesize hundreds of online sources to create a comprehensive report at the level of a research analyst, the company wrote in a Sunday blog post. Every output shows clear citations and a summary of the agents thinking. The tool is powered by its upcoming OpenAI o3 model, which it says leverages reasoning to search, interpret, and analyze massive amounts of text, images, and PDFs on the internet, pivoting as needed in reaction to information it encounters.OpenAI says Deep Research could take anywhere from five minutes to 30 minutes (compared to several minutes to several hours for a human to do). It will alert users when the task is complete, meaning they can step away and get other tasks done.Deep Research is available to users who subscribe to GPT Pro, its $200/month service. Over time, it plans to expand it to other paid services.But there are limitations. OpenAI said Deep Research can sometimes hallucinate facts or make incorrect inferences. It may also struggle to distinguish rumors from authoritative information. OpenAI said it expects the issues to quickly improve with more usage and time.This category of tech, called agentic AI, is different from standard chatbots. Agentic AI can autonomously complete taskslike scheduling a meeting, buying a car, ordering dinnerwith little human supervision. The new AI tool understands natural language, sets goals, makes decisions, and adapts to changing circumstances. Many experts are betting on agentic AI being the next frontier in AI.Looking further ahead, we envision agentic experiences coming together in ChatGPT for asynchronous, real-world research and execution, the company said.
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