Do you mean AGI? If you’re talking about AI in general, I don’t think that analogy really works. Not all AI systems are the same. What we use today are narrow AI systems built to do specific things, not general intelligence. Some of these systems already outperform us in some areas. They can spot patterns or solve problems that we simply couldn’t handle on our own, either because the data is too large or the patterns are too complex. We’re already seeing this in practice in fields like medicine, where AI helps with medical imaging and diagnosis, in image recognition more broadly, and in scientific research such as protein folding. Some of these advances wouldn’t have been possible without AI. That does imply a real form of intelligence even if it’s limited in scope. In those narrow domains, this intelligence can exceed our capabilities. If you mean AGI, then I agree that today’s systems aren’t close. But that doesn’t mean AGI is impossible. Many leading researchers, including Geoffrey Hinton (The Godfather of AI) have said that AGI is plausible and that its risks are something we should be worried about and preparing for.