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> Why? Any large probabilistic model in your example would also predict "an" due to the high attention on apple. I’m not ignoring how the tech works and this i
by swid 4y ago
> Why? Any large probabilistic model in your example would also predict "an" due to the high attention on apple.
I’m not ignoring how the tech works and this is a simple example. But that doesn’t preclude emergent behavior beyond the statistics.
Did you catch the GPT Othello paper where researchers show, from a transcript of moves, the model learned to model the board state to make its next move? [0]
I’m beginning to think it is reasonable to think of human speech (behavior will come) as a function which these machines are attempting to match. In order to make the best statistically likely response, it should have a model of how different humans speak.
I know GPT is not human, but I also don’t know what form intelligence comes in. I am mostly certain you won’t figure out why we are conscious from studying physics and biochemistry (or equivalently the algorithm of an AI, if we had one). I also believe where ever we find intelligence in the universe, we will find some kind of complex network at its core - and I’m doubtful studying that network we will tell us if that network is “intelligent” or “conscious” in a a scientific way - but perhaps we’d say something about it like - “it has a high attention on apple”.
[0] https://thegradient.pub/othello/ https://thegradient.pub/othello/
- usaar333 4y agoI agree there is emergent behavior and this is impressive (I'm similarly impressed how well GPT4 can generate SQL statements). That said, even playing Othello is still an example of next-token prediction via pattern recognition. Yah, it might be quasi-building a model of sorts, but that's of course just what non-linear predictors do. Don't get me wrong -- we are also very powerful pattern recognizers.