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There are plenty of tasks (e.g. speaking multiple languages) where ChatGPT exceeds the top human, too. Given how much cherrypicking the "AI is overhyped" people do, it really seems like we've actually redefined AGI to "can exceed the top human at EVERY task", which is kind of ridiculous. There's a reasonable argument that even lowly ChatGPT 3.0 was our first encounter with "general" AI, after all. You can have "general" intelligence and still, you know, fail at things. See: humans.
If you say "it's okay for the AI to do as poorly as a poorly performing human", you'll end up concluding that even an Eliza program can do better than a drunk human who can barely type out words on a keyboard. And if you say "the AI only needs to exceed a top human at a few tasks", then a C64, which can run a simple calculator or chess program, would count as a general AI.
People are not cherrypicking. What they are doing is like the Turing test itself, but testing for intelligence instead of for "is like a human". People asking questions in a Turing test can't tell you in advance which questions would prove the target is a computer, but they have implicit knowledge that lets them dynamically change their questions to whatever is appropriate. Likewise, we don't know in advance exactly what things ChatGPT would have to do to prove it's a general intelligence, but we can use our implicit knowledge to dynamically impose new requirements based on how it succeeds at the previous requirements.
Saying "well, it can write, but can it code" is ultimately no different from saying "well, it can tell me its favorite food, but can it tell me something about recipes, and its favorite book, and what it did on Halloween". We don't complain that when someone does a Turing test and suddenly asks the computer what it did on Halloween, that he's cherrypicking criteria because he didn't write down that question ahead of time.
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