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Understanding Frontier Artificial Intelligence

49 points · 90 comments · roversx

  1. andy_ppp · · focus · HN ↗
    So predicting the next word given all humanity’s knowledge is surely going to max out at slightly less good (we probably can’t get perfect data) than the best human in any specific field. What test does the AI do to be able to understand it is improving? At some point it becomes impossible to know that the output is actually better right?
    1. whatever1 · · focus · HN ↗
      All planners start with executing just the next step. You do too. You might be planning long term but you execute just one set of things at the current moment.

      Deep NNs and LLMs should not work based on our theoretical understanding. The fact that they do should give us a pause instead of us flatly denying their unexpected performance.

      1. chrisjj · · focus · HN ↗
        > All planners start with executing just the next step.

        token != step.

        Just you try executing a complex command one word at a time.

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