I agree, or at least I hope you are right. I have some doubts about investment into ML without the hype (at least for legacy big corps) but probably their hype-

I agree, or at least I hope you are right. I have some doubts about investment into ML without the hype (at least for legacy big corps) but probably their hype-driven ML efforts are/were misguided by poor incentives. But I agree again that companies that invest in ML from a grassroots/first principles way should run circles around the legacy ones. I think the „boring“ part you mention might be what I refer to as ML/AI winter. But then again do you think there is much space left in the ML toolbox apart from neural networks? I think at least for e.g. computer vision we can agree that neural nets ate all the cake, right?