The ML of Today Is Changing So Fast, Right?

The ML of two years ago was laughed at by the ML of today, right? It's changing so fast. We've had to build out some things where kind of existing frameworks didn't cut it for us. The other thing that kind of handy very tempting is, if me or I, the team, I come across a new fantastic tool and think this looks great. Let's use this. Then I'm on leave three weeks from now on the beach somewhere and it goes wrong. Have I bothered to tell the rest of my team how this thing works? Because I've chosen something that isn't boring,. That doesn't fit in with the stuff that is to us all know. And