OpenAI's New ChatGPT Tool Revolutionizes Research, But Human Experts Still Crucial

February 12, 2025
OpenAI's New ChatGPT Tool Revolutionizes Research, But Human Experts Still Crucial
  • OpenAI has introduced a new 'deep research' tool integrated into ChatGPT Pro, designed to perform research tasks significantly faster than human experts, completing them in mere minutes.

  • This tool acts as a research assistant, autonomously searching the web, compiling sources, and delivering structured reports.

  • Despite its advanced capabilities, deep research can miss key details, struggle with recent information, and sometimes invent facts.

  • Early evaluations have highlighted issues such as a lack of context, missing recent developments, and an inability to distinguish between reliable and unreliable sources.

  • These shortcomings emphasize that, despite advancements in AI, skilled human researchers who can synthesize information and think critically remain irreplaceable.

  • To use AI responsibly, it is crucial to verify sources and apply critical thinking, especially in high-stakes areas like health and justice.

  • The emergence of similar AI tools, such as a free version from Hugging Face, raises concerns about the risks of overestimating AI's capabilities.

  • Currently, deep research is available only to ChatGPT Pro users in the U.S. for $200 per month, with plans to expand access to other user tiers soon.

  • The tool is primarily targeted at professionals in fields such as finance, science, law, and engineering, as well as academics and business strategists.

  • The research process involves five steps: submitting a request, clarifying the task, searching the web, synthesizing findings, and delivering a report within five to thirty minutes.

  • In early tests, deep research achieved a score of 26.6% on Humanity's Last Exam, outperforming many other AI models.

  • However, OpenAI acknowledges that the tool has limitations, including the potential to 'hallucinate' facts and make incorrect inferences, though at a lower rate than previous models.

Summary based on 2 sources


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