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Yeah, wouldn't the "test" be essentially letting it generate tokens forever, without user-written prompts. Since an LLM has no sense of self or instances, what
by Kalabasa 3y ago
Yeah, wouldn't the "test" be essentially letting it generate tokens forever, without user-written prompts.
Since an LLM has no sense of self or instances, what does it mean for it to talk to itself?
In a way, doesn't it already "talk to itself" when generating sentences, e.g., its output token gets added to the input tokens successively?
- ben_w 3y ago> Since an LLM has no sense of self or instances While I'd be surprised to learn they have anything a normal person would call a sense of self, it would only be mild surprise and even then mainly because it means we finally have a testable definition. (Amongst other things, I don't buy that the mirror test is a good test, but rather I think it's an OK first attempt at a test). We're really bad at this. > In a way, doesn't it already "talk to itself" when generating sentences, e.g., its output token gets added to the input tokens successively? I'm not sure if that counts as talking to itself or not; I think that I tend to form complete ideas first and then turn them into words which I may edit afterwards, but is that editing process "talking to myself"? And this might well be one kind of "sense of self". Possibly.
- klyrs 3y ago> In a way, doesn't it already "talk to itself" when generating sentences, e.g., its output token gets added to the input tokens successively? If this is the basis of a mirror test, most AI recognition attempts have pretty high failure rates, so I'd say they currently fail. But if we presented a similar test to a human, "did you write this?" it seems to fall short of a mirror test because it can be falsified by an otherwise unintelligent algorithm which remembers its previous output.