Sure, let’s pretend the field of AI, with that exact name, isn’t at least 50 years old.
Facial recognition has probably been taught in AI courses for almost two decades now. “Artificial Intelligence: A Modern Approach” is 30 years old, and only about half of it is concerned with Statistics.

Actually I agree. I guess I was just still annoyed after reading just previously about how llms are somehow not neural networks, and in fact not machine learning at all…

Btw, you can absolutely finetune llms on classical regression problems if you have the required data (and care more about prediction quality than statistical guarantees.) The resulting regressors are often quite good.

I will admit didn’t check because it was late and the article failed to load. I just remember reading several papers 1-2years ago on things like cancer-cell segmentation where the ‘classical’ UNet architecture was beaten by either pure transformers, or unets with added attention gates on all horizontal connections.

Those models will almost certainly be essentially the same transformer architecture as any of the llms use; simply because they beat most other architectures in almost any field people have tried them. An llm is, after all, just classifier with an unusually large set of classes (all possible tokens) which gets applied repeatedly

Because, while Switzerland is not part of the EU, it follows many of its regulations. Maybe even most of them.

In this particular case, I happen to know that the inofficial rule is indeed to have burner phones for travel into the us in some cases. But you’re never supposed to have unencrypted data on your phone or laptop in any case.