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If we were to train a sufficiently large and powerful model on all available data for a sufficient time, do you think it will converge on
  • one possible universe
    31.8%
  • a small set of universes
    8.6%
  • countably many universes
    15.8%
  • uncountable universes
    43.9%
1,391 votesFinal results
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Replying to
countable but it depends on whether it's embodied - I'd expect an embodied model to converge on a smaller set
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Replying to and
my intuition here is that as long as your data is countable (which it would be if collected by any practical method), you can fit anything to it, but every interaction with the universe (real or simulated) constrains the models to useful ones
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Replying to and
the salient difference here is that formalism-wise, data is what you've already collected, while codata represents what you're going to collect - a natural choice for I/O or randomness sources