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ChatGPT now knows what you do on other websites via ad collector

764 points · 395 comments · lmbbuchodi

  1. duhhhhh1212 · · focus · HN ↗
    <a href="https:&#x2F;&#x2F;www.pangram.com&#x2F;history&#x2F;c3ad864f-2a50-4785-a0ef-71f289ec003f?ucc=t8c6BkzVOh8" rel="nofollow">https:&#x2F;&#x2F;www.pangram.com&#x2F;history&#x2F;c3ad864f-2a50-4785-a0ef-71f2...

    why not use your own words? If you are gonna ai generate this blog, just post the prompts instead.

    1. handoflixue · · focus · HN ↗
      There&#x27;s a certain irony in linking to someone else and then saying &quot;use your own words&quot;. If we follow that, we get a pretty obvious answer: sometimes someone else can express it better and faster.

      Most people do not, in fact, want to read raw prompts.

      1. scared_together · · focus · HN ↗
        Are you referring to the Pangram link? I’d consider that akin to a reference supporting the comment’s point, not a substitute for the comment’s point.

        &gt; Most people do not, in fact, want to read raw prompts.

        I wonder if this is really true, and if it will remain true for long. Have you observed someone read another person’s raw prompt? Or observed someone submit both their prompts and their LLM output for review?

        Personally I’d be curious about the prompts for a lot of top HN articles which are LLM-generated. It would say a lot more about the human operator’s intent and thinking process compared to the LLM output.

        A coworker who spoke English as a second language once screen shared their Claude session during a code review, and it was interesting that their prompts were all in their native language. The guy wasn’t writing an article, and I didn’t understand the prompt anyway, but I still found it interesting as a glimpse into how he uses LLMs.

        For this particular article, if the prompt was initially a series of bullet points that wouldn’t be so bad. If there were multiple prompts spent editing and rearranging the article that would be an unusual work by pre-LLM standards. However I’d suggest that instead of dismissing the idea, we could embrace “raw prompts” as a kind of new medium, to cross the divide between pro-LLM and anti-LLM readers.

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