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Ethan Mollick Says LLMs Could Make Investigative Research Far Faster

1 reports 1 reporting sources Updated 4 hours ago

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Ethan Mollick said large language models could make investigative research up to 10 times faster by analyzing company or government filings, records, and public data. He argued that this work once took a team of journalists a long time, making it relatively rare. His post presents the change as a potential opening for more investigative journalism; it does not report a specific investigation or measured result.

Generated by AI from reports · Updated 3 hours ago

Latest development11/7 23:03 (UTC+8)
This can be a golden age of investigative journalism. Analyzing filings, records and public data to go deep into a company or government or whatever used to be something that took a team of journalists a long time, so was relatively rare. Now LLMs can 10x investigative research.Ethan Mollick · X

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11/7
  1. Ethan Mollick · X
    This can be a golden age of investigative journalism. Analyzing filings, records and public data to go deep into a company or government or whatever used to be something that took a team of journalists a long time, so was relatively rare. Now LLMs can 10x investigative research.

    This can be a golden age of investigative journalism. Analyzing filings, records and public data to go deep into a company or government or whatever used to be something that took a team of journalists a long time, so was relatively rare. Now LLMs can 10x investigative research.

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