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184 points · 119 comments · jeninh

  1. boomlinde · · focus · HN ↗
    If you have a slight interest in originality of presentation, whatever website copy first comes out of Claude is not there yet. Its preoccupation with "no x, no y" and annoying runs of sentence fragments might have been a punchy rhetoric for a short while before it became a tired cliché, but by now it stylistically makes it look more like you're bragging on LinkedIn than presenting something fun and creative.

    I mention it because it's immediately off-putting even though the project itself sounds fun enough. It tarnishes it with the impression that maybe you just don't care, but maybe you just aren't attuned to the style and its strong slop connotations.

    I'm genuinely fascinated by the problem and I've wondered what in the training process causes the model to develop this peculiar style of writing. Is it because it's trained on old Medium slop? Someone else replied with a link to their SSH-based VPS, where the copy is absolutely saturated with the same annoying style.

    1. applfanboysbgon · · focus · HN ↗
      It's an extremely pervasive misconception, but a model's voice is not really a matter of its training data, not by the time it reaches consumer eyes. The voice these models use are specifically selected for in RLHF, ie, curated by humans by telling it it did a good job when it uses this voice and telling it it did a bad job when it didn't use this voice.

      Why do they specifically push for this voice? Because it is effective. This is "headline voice", the voice that gets people to endlessly click on Youtube clickbait and garbage articles. Most of the population gets a dopamine hit from this style of writing, making it legitimately addicting to them. Those who recognize it for what it is and find it insufferably grating are in a tiny, tiny minority.

      1. DANmode · · focus · HN ↗
        It seems like the middle of the curve.

        The tiny minorities are the people who are too dumb to notice, and on the other end, the people who can still sift through robot-made clickbait the same way they were wading through human-made clickbait before.

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