Aside from the irrational but probably inevitable over-hype, I find this whole AI/ML space quite fascinating and frustrating at the same time.
Most of the successful algorithms are much less complex/sophisticated than you might believe from the outside, and I believe that's a very good sign because simplicity scales.
But on the other hand, there is a huge amount of brute-forcing, you can't really do serious research in this field without a few dozen millions to spare, and I think that's always a limit on the innovation potential.
Unfortunately writing good code/finding new algorithms is only a small part of the problem.
I also think that many people don't completely understand how weak this model is to process real-world data when there no reliable way for the system to self-train on it.
Most of the successful algorithms are much less complex/sophisticated than you might believe from the outside, and I believe that's a very good sign because simplicity scales.
But on the other hand, there is a huge amount of brute-forcing, you can't really do serious research in this field without a few dozen millions to spare, and I think that's always a limit on the innovation potential.
Unfortunately writing good code/finding new algorithms is only a small part of the problem.
I also think that many people don't completely understand how weak this model is to process real-world data when there no reliable way for the system to self-train on it.