Yes really. Problem solving on the fly doesn't mean the algorithm can instantly learn anything. Reality is HEAVILY biased towards two and three spatial dimensions so our brains have hours and hours of training on that dataset. But, with time, humans can learn to be good at all sorts of things.
It's important that we try to think from the perspective of an algorithm, not a human. And it's also important that we don't jump to extremes.
It seems like you interpreted "solving problems on the fly" to mean "instantly being an expert on a completely different and novel domain". What it does mean is flexibility, resilience to novel situations, and being able to adapt over time.
It's important that we try to think from the perspective of an algorithm, not a human. And it's also important that we don't jump to extremes.
It seems like you interpreted "solving problems on the fly" to mean "instantly being an expert on a completely different and novel domain". What it does mean is flexibility, resilience to novel situations, and being able to adapt over time.