Any tool can be a hammer if you use it wrong enough.
A good hammer is designed to be a hammer and only used like a hammer.
If you have a fancy new hammer, everything looks like a nail.
Any tool can be a hammer if you use it wrong enough.
A good hammer is designed to be a hammer and only used like a hammer.
If you have a fancy new hammer, everything looks like a nail.
But that’s true of all (most ?) neural networks ? Are you saying Neural Networks are not AI and that they can’t learn ?
NNs don’t retrain while they are being used, they are trained once then they cannot learn new behaviour or correct existing behaviour. If you want to make them better you need to run them a bunch of times, collect and annotate good/bad runs, then re-train them from scratch (or fine-tune them) with this new data. Just like LLMs because LLMs are neural networks.