3 ms·
Humans have nothing in common with neural networks (other than if you choose to misunderstand the literal definition of those two words), there's no direct anal
by version_five 3y ago
Humans have nothing in common with neural networks (other than if you choose to misunderstand the literal definition of those two words), there's no direct analogy to be made.
- flangola7 3y agoI didn't say anything about neural networks, I asked how humans do it.
- tempusalaria 3y agoTo start with, humans have access to far more data than just what is generated by other humans. We can look at nature, other animals, mathematical laws and many other things. Humans also have far more ability than current model architectures to use memory (particularly in training), flexible context (Model context always directly follows the input distribution in training whereas we can flexibly combine different parts of our input data as we like ) and logic. We can also do live learning in ways current models can’t.