Why don't machine learning research agents overfit?

(amazon.science)

26 points | by Betelbuddy 1 hour ago

6 comments

  • diddid 0 minutes ago
    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.

  • nyeah 0 minutes ago
    [delayed]
  • demibabs 32 minutes ago
    Even tech giants are putting out articles seemingly fully written by Claude.
    • ks2048 17 minutes ago
      The animated graphic labeled "Occam's razor, formalized" is bizarre. Is that really visualizing "Occam's razor, formalized"?
      • mrbungie 7 minutes ago
        Ah, over-the-top larger-than-life LLM-isms, they are really funny when you see them in a company blog, but they are vomitive when it's your coworker copy-pasting it and insisting you on reading it.
  • dguest 12 minutes ago
  • novaapi 4 minutes ago
    [flagged]
  • dominotw 59 minutes ago
    > Machine learning, at its core, is about generalization, not memorization.

    Well they memorize the patterns.

    memorization doesnt mean rote learning.