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Their training data is also part of their output. The training games produced last exceed the earlier games. So, yes, obviously the model can exceed its trainin
by ALittleLight 4y ago
Their training data is also part of their output. The training games produced last exceed the earlier games. So, yes, obviously the model can exceed its training data.
If you're trying to argue that the model can't be better than it is, i.e. the last training data it produces, then that's true but tautologically so. ML has conquered some domains, like Go or Chess or birdwatching, and is making progress in others - like programming. There is no reason to assume ML systems can't exceed human ability at programming or any other task.
- trention 4y ago>Their training data is also part of their output. More deflection and going off point. >is making progress in others - like programming I already explained that programming is not amenable to the approach that allowed alphago to learn from the games it played against itself. This is already getting pointless and tedious, should in the future know better than to respond to people that are obviously in the "scale is all you need" nonsense camp, nothing meaningful comes out of it.