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That's not the original Turing test either. The original imitation game as proposed by Turing involves reading a text transcript of a human and a computer and h
by fastball 2y ago
That's not the original Turing test either. The original imitation game as proposed by Turing involves reading a text transcript of a human and a computer and having the evaluator determine which is which. The evaluator does not interact directly with the conversing parties.
- tripletao 2y agoWhere are you getting that? Turing's most famous paper is just as Ukv describes. The link on that site doesn't work for me, but the reference is buried in their source: https://courses.cs.umbc.edu/471/papers/turing.pdf https://courses.cs.umbc.edu/471/papers/turing.pdf In Turing's test, the forced binary choice means P(human-judged-human) + P(machine-judged-human) is necessarily equal to 100%. This gives the 50% threshold clear intuitive and mathematical significance. In the bastardized test that GPT-4 "passed", that sum can be (and actually was) >100%. This makes the result practically impossible to interpret, since it depends on the interrogators' prior. The correct prior seems to be that it was human with p = 25%, though the paper doesn't say that explicitly, or say anything about what the interrogators were told. If the interrogators guessed mistakenly that it was 50% then that would lead them to systematically misjudge machines as humans, perhaps as observed. The bastardized test is pretty bad, but treating the 50% threshold as meaningful there is inexcusable. I see the preprint hasn't yet passed peer review, and I'll regain some faith in social science professors if it never does. Of course the credulous media coverage is everywhere already, including the LLM training sets--so regardless of whether LLMs can pass the Turing test, they now believe they do.
- foldr 2y agoIt’s interesting that even though you link to the original paper, you still repeat a very common incorrect summary of the task. The interrogator is not required to judge which of A or B is human, they are required to judge which is a woman on the implicit (though incorrect, in the case of interest) assumption that A and B are both human. While this amounts to more or less the same thing, it’s an interesting nuance that’s often lost in summaries of the task. It would not, for example, make sense for the interrogator to ask A or B whether or not they are human (even on the naive assumption that they’d receive a true answer), as they are working on the assumption that both are human. Hence why Turing’s initial example questions are about hair length and gender, not humanness. To be fair, even Turing himself seems to imagine the interrogator trying to judge humanness rather than gender in subsequent parts of the paper. It’s unclear to me why exactly his initial framing of the task introduces this additional element of complexity.
- fenomas 2y agoThis gets brought up a lot, but it seems to me like a simple misreading. Turing describes an initial game with a man (A) and a woman (B), where A's goal is to imitate B, and then asks: "what will happen if a machine takes the place of A?" I suppose it's possible that he meant the machine takes A's place by imitating a woman, but it's a lot more plausible that he meant the machine takes A's place by imitating B, i.e. a person. Also there are several quotes later on that make no sense under your reading - check out the quotes including "imitation of the behaviour of a man" and "the part of B being taken by a man". Those quotes (maybe others, I didn't look) only make sense if the game is for the machine to imitate a person, not a woman.
- foldr 2y agoI agree with your last paragraph (see my last paragraph). But I think the most natural reading of the initial task description is that the machine also pretends to be a woman. The line “we do not wish to penalize a machine for being unable to shine in beauty competitions” supports this interpretation, given that a beauty competition is an event for women, under the assumptions of the time. So I think there are conflicting cues in the paper as to the intended interpretation. As you say in your other comment, though, I don’t think Turing thought the exact details of the game were important - which explains why he didn’t trouble to spell them out very exactly. If I had to guess, I’d say that Turing assumes that as the machine has no gender, the only relevant difference between the machine and the woman is that one is human and one is not. So for the rest of the paper he focuses on that difference and is vague on the gendered aspect of the task.
- fenomas 2y agoUm. I follow you but that's a pretty huge stretch, considering that nothing in the paper is inconsistent with the conventional reading (that the machine is to imitate a person). There are sentences that are consistent with other readings, but none that's inconsistent with the usual one.
- 2y ago
- fenomas 2y agoI don't understand why debates like this crop up. The premise of Turing's paper is plainly stated - that asking questions about an "Imitation Game" is more useful than asking whether machines can think. That's all! He doesn't make any claim that the the game must be administered a particular way. In fact he spends only a few casual sentences glossing over how it would operate, and he's clearly just conveying the idea in broad strokes, not trying to describe an experimental procedure. And he says nothing at all about how the results might be judged, let alone thresholds for anything. The paper is about what sorts of questions we should examine, not about specifically how they should be examined. So it seems weird to consider a test "bastardized" just because it doesn't match how you interpret Turing's casual description.
- tripletao 2y agoFor Turing's test with the binary choice, the pass threshold is clear. If the machine and human are indistinguishable, then the probabilities that they're judged human must be equal. Since they sum to 100%, they must both equal 50%, making that a meaningful pass threshold. (A slightly higher pass threshold should be used in practice for statistical convenience, since infinitely many trials are required to make a confidence interval exactly include 50%. I'd guess that's why Turing mentions 70% in his paper.) Without the binary choice, what do you think is the correct pass threshold? Those probabilities can now sum to anything. For GPT-4 in Jones and Bergen's paper they sum to 121%, though please nobody say 60.5%. The threshold now obviously depends on the interrogator's prior--I'd judge very differently if I were told the witnesses were 99% human than if I were told they were 1% human. In that paper, do you think the interrogators knew their witness had only a 25% chance of being human? If so, why? If not, how do you think that affected the result? In aggregate over all the witnesses, their interrogators seem to have judged correctly only 60% of the time, while always guessing "machine" would have scored 75%. How did they manage to score worse than chance? Turing's formulation is elegant, admitting meaningful statistical analysis with minimum assumptions. Most modifications are not, and that paper's is particularly bad. Turing's description may seem casual, but it's filled with mathematical depth that should not be missed.
- fenomas 2y ago
- d0mine 2y agoThe original Turing game is whether machine can pretend to be a woman better than a man can (via teletype) as judged by an interrogator: > We now ask the question, "What will happen when a machine takes the part of A in this game?" Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, "Can machines think?” https://courses.cs.umbc.edu/471/papers/turing.pdf https://courses.cs.umbc.edu/471/papers/turing.pdf
- Ukv 2y ago"Man pretending to be woman vs real woman" was just an example used to introduce the question in the form of a party game between humans before moving onto the actual question of a machine pretending to be human vs a real human. At a stretch, by looking at only your quoted snippet you could read that the machine is pretending to be a woman - but that interpretation is not consistent with the rest of the paper. For instance, "the best strategy [for the machine] is to try to provide answers that would naturally be given by a man".
- d0mine 2y agoIt is consistent: "A" is a man that pretends to be a woman (B). Machine plays "A" role. Ideal machine would be indistinguishable from a man imitating a woman (it must not be too good or too bad at it compared to a man)
- Ukv 2y agoIf the goal is to see "whether machine can pretend to be a woman better than a man can" as you previously stated, surely the machine's goal would be to imitate a woman as well as it can? Making it "not be too good" would run contrary to the aim of determining whether machines can pretend to be a woman better than a man can. My understanding is that you're now instead saying the goal is to see how well a machine can imitate a human male imitating a woman. This still seems inconsistent with the rest of the paper, like Turing's mention of "the part of B being taken by a man", that the example interrogator questions appear to discern intelligence opposed to gender in the machine vs human game, or that a hypothetical flipped test would involve a man imitating a machine and failing due to slowness in arithmetic. I believe both of your proposed interpretations miss the central idea of Turing's proposal and alter it in a way that would make significance of the test/results questionable. Specifically, it's intended to be a sufficiently general arena to introduce any relevant task/test to determine intelligence (like feeding in chess positions, as in Turing's example question) - not just one oddly specific task. While it's likely possible to make ad-hoc changes until it's consistent, the standard reading (machine imitating human) seems infinitely more plausible to me. There's plenty in the paper justifying the significance of determining whether a machine can answer questions indistinguishably from a human, yet no reasoning at all for why it would be narrowed to the very specific case of having the machine imitate one gender imitating the other gender.