Show HN: Jevman – AI decision models play Pac-Man

(opper.ai)

50 points | by felix089 12 hours ago

11 comments

  • hung 2 hours ago
    Shouldn't it be running at every tick of the game rather than just the junctions? Pac-Man should be able to change direction at any point.
  • soltanov 27 minutes ago
    Running cloud API inference for Pac-Man is peak modern software engineering. A 2 MB local ONNX model on a CPU core beats network round-trip jitter every time.
  • NichoPaolucci 3 hours ago
    This is neat. At least I'm still better than the models at pac-man.

    Also love the idea of a shared pool for users to try things out. I was considering more of a crowdfunded approach for one of my toy projects, something like... Giving it $10 in credits to begin and somehow allowing users to feed a buck in if they wanted.

  • nico 3 hours ago
    Very cool, are you also testing local, cpu-runnable/trainable models/classifiers?

    I trained some to do some interesting things, including playing doom: https://github.com/nicobrenner/jeffy

    I’ll try training one for this benchmark, seems like fun

  • ozozozd 4 hours ago
    Super cool!

    I wish the controls were a little easier on mobile.

  • bayarearefugee 3 hours ago
    Paying 2 cents per game to avoid playing it.

    What even is this reality.

  • gsandahl 8 hours ago
    very cool :)
  • aitoolcrux 1 hour ago
    [flagged]
  • eriwang915 2 hours ago
    [flagged]
  • pixel16bit 8 hours ago
    [flagged]
  • sick_of_slop 1 hour ago
    [dead]