Consider tasks like counting, sorting, and arithmetic. We humans learn algorithms for these processes so that we can apply them in all kinds of situations. For instance, while memorising the multiplication table works well for small numbers (0–9), learning the multiplication algorithm is far more efficient when dealing with larger numbers. This approach allows us … Continue reading Why is learning an algorithm sometimes better than learning from a large set of examples, as AI often does?
Will AI eventually become more intelligent than Humans, as the Nobel laureate Geoffrey Hinton claims?
AI's performance is limited by the quality of the data it has been trained on—it can only be as good as its training data, never exceeding it. This limitation arises because AI excels at interpolation (making predictions within the range of its training data) but struggles with extrapolation (generalizing to entirely new or unknown situations). Additionally, AI lacks true … Continue reading Will AI eventually become more intelligent than Humans, as the Nobel laureate Geoffrey Hinton claims?
Anders Hast 