3 ms·
Observing how children need a fairly limited amount of "learning examples" or "training sets" to learn that a cat is a cat, for instance, remains one of the mos
by icare_1er 4y ago
Observing how children need a fairly limited amount of "learning examples" or "training sets" to learn that a cat is a cat, for instance, remains one of the most solid argument convincing me that AI fundamentally is not reproducing what actually happens in human brains.
- dachryn 4y agoactually it's closer than you might think. If you consider the eye and visual cortex to be the first layers of a deep learning network, we are actually getting a relatively similar system. However it has limitations further down the line in information representation stuff. The eye is genetically programmed to detect lines, hard edges, colours, and more complex patterns. This is exactly the same as the first layers of a neural net. However we then humanly assemble stuff like cat = eyes+fur+pointy+cute+small+meowing. A neural net has no way yet to represent information at that level, but we are getting closer there than going beyond dumb numbers. A neural net has implicitly the concept, but is not yet doing the 3d representation inside itself, which makes it harder to define something like 'ears' and 'tail'
- tibbydudeza 4y agoYep recognizing a cat from a hamster - is it just pixels or broken down into higher level concepts like head, body, legs and tail.