4 ms·
I think implying that GPT-3 and a human learn a language in the same way is an error. AI "learning" is very rigid; while human learning is often a complicated m
by beezlebroxxxxxx 4y ago
I think implying that GPT-3 and a human learn a language in the same way is an error. AI "learning" is very rigid; while human learning is often a complicated mishmash of behaviour, social feedback, reasoning, and imagination.
> conditioned on the basis of a present reality
If we grant this hypothetical, we might find what it "says" fundamentally alien to us --- we might not even know it is saying anything at all.
- Tijdreiziger 4y agoNeural networks are modeled after the neurons in human brains, so by definition, the way NNs learn approximates the way humans learn.
- yyyk 4y agoNeural networks were modeled after a model of the neurons in human brains, a model which we know by now is inaccurate and misses a lot of details.
- Der_Einzige 4y agoSo, that's pretty wrong. Spiking neural networks are possibly closer to being biologically analogies, but they kind of suck to train and don't have good performance. It takes a lot of computer "neurons" to simulate a single human neuron, and we can't simulate it perfectly in any case.
- Tijdreiziger 4y agoWell, yeah, that’s why it’s a model. Our weather models can’t predict the weather perfectly either.
- kelseyfrog 4y agoHow does the brain do backprop?
- samatman 4y agoAirplane wings and tails bear about as much resemblance to bird wings and tails as neural networks do to neurons. The way airplanes fly doesn't even vaguely resemble how birds fly. Same with neural networks and brains.