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  • Hacker News
  • Do you know what the scaling law actually is? Overfit everything as much as you can.
    by llflw
  • If anything, the latest generation of AI models, Astra and Fable, are prime example of overfitting—whereas benchmarks suggest they’re AGI-tier, users (including myself) report the same old gaslighting, hallucination, context rot, cheating, incomprehensibility patterns as with prior models, sometimes even more pronounced.

    Fable and Opus 5, I suspect, will become textbook examples of RL collapse.

    by ubutler
  • Wherein Claude gives an honest assessment that it genuinely does not overfit. I also had Grok telling me that it isn't quantized.

    Do the submitters really not notice that this is AI slop? Do they like this? It is a complete pain to read.

    by 32df179
  • arXiv link: https://arxiv.org/abs/2606.11045
    by dguest
  • Why is this being published as a blog post and not as a peer-reviewed submission? If it's going to be a blog post, why isn't there a corresponding scientific version for me to look at?

    Someone else already found it. I don't understand why the link isn't in the blog post. https://arxiv.org/abs/2606.11045

    Use of claude for writing it should be disclosed.

    by jsrozner
  • > Why don't machine learning research agents overfit?

    they do.

    by signalbright
  • Even tech giants are putting out articles seemingly fully written by Claude.
    by demibabs
  • I always get annoyed when people misinterpret Occam’s razor. It’s not that the simplest is more likely to be correct, it’s that you should prefer it, because it’s simple.

    It’s just like the Hopper quote. She said it’s better to ask for forgiveness during the fog of war, doing something you thought was right, not to do something you knew they were going to say no to and now you are trying to get away with something.

    by diddid

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