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Understanding Frontier Artificial Intelligence

49 points · 90 comments · roversx

  1. kennywinker · · focus · HN ↗
    Color me skeptical. LLMs seem to make writing code faster, so of course that means that people can iterate on ideas faster, but I have yet to see actual creative output from an LLM that wasn't coached into it or random juxtaposition.
    1. chrisjj · · focus · HN ↗
      > LLMs seem to make writing code faster

      ... provided you keep eyes closed when examining the output.

      To those gulled by the AI coding hype, I suggest try a trivial code task with e.g. immediate feedback in a domain you can swiftly verify e.g. HTML or SVG. Your red pill.

      Example: <a href="https:&#x2F;&#x2F;chatgpt.com&#x2F;share&#x2F;6ac0d871-6314-83eb-990a-41baed964246" rel="nofollow">https:&#x2F;&#x2F;chatgpt.com&#x2F;share&#x2F;6ac0d871-6314-83eb-990a-41baed9642...

      1. lostmsu · · focus · HN ↗
        Damn, &quot;make no mistakes&quot; actually works!
        1. chrisjj · · focus · HN ↗
          Or &quot;Try harder&quot; does! :)
      2. kennywinker · · focus · HN ↗
        I’m no LLM lover, i believe they are much more limited in their usefulness than the hype says.

        But your example feels like a bad illustration of your point. LLMs operate on words, and can’t read your mind - if you had given me (a human) this task with these prompts i too would have failed because i can’t divine your intent even slightly.

        1. chrisjj · · focus · HN ↗
          &gt; LLMs operate on words, and can’t read your mind

          It didn&#x27;t need to. It operated on my prompt words just fine. It provided precisely the starting shape I wanted.

          &gt; - if you had given me (a human) this task with these prompts i too would have failed because i can’t divine your intent even slightly.

          Then I prompted &quot;Show as html svg&quot;. Clear?

          It was clear to the bot. Bot showed HTML SVG proving it understood perfectly.

          The problem is, it garbaged the content. Imagine the equivalent buried in 1000s of lines of code.

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