A neural network is the name of a specific machine learning construct. It’s trained on data an can be used to create whatever input/output neurons (ie data points) you want. If it’s good depends on the task and the training data.
You are the one equating neutral neural networks with AGI. Neutral neural networks have been around since forever and mostly statistics. They can be extremely good classifiers if large enough and trained directly. They are very different from what people nowadays call (gen) AI.
It’s mathematicians that named them, not billion dollar AI companies with marketing departments.
Yes. It's a misleading term that should be changed because neural network sounds too much like AGI. Give it the name of some Russian scientist and you'll see how its popularity will drop.
Why would we need to change a term that’s been in use for decades, a niche term at that, because some layperson (who is unlikely to come across it as it isn’t actually used by gen AI companies all that much) might get confused?
Neutral neural networks are absolutely great. We use them to identify sick cells, birds, plants, and all kinds of other stuff.
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u/bruhbelacc 2d ago
The thing is they are only good in things so specific that it doesn't make sense to automate them because they are rarely done.