Speaking as a researcher in the AI/ML space, you see an interesting divergence at the upper end of familiarity. Some focus on the rapid recent growth of the technology and are quite enthusiastic about it, but others (myself included) focus much more on its limitations, especially driven by the type/quality of the training data used to make the models. I think it comes from different backgrounds prior to learning the tech. Computer science people tend to be in group one, whereas other scientists (biologists, physicists…) that adopt ML as a tool are more likely to be in group two. To be clear, all of this is my personal experience from personal interactions and literature review in graduate school, not some large scale survey.

We’ll Meet Again In My Ass

I used to have an issue like that and mine went away when I upgraded my PC from an elderly HDD to an SSD.

I played so much Lego Racers 2 when I was a kid. That game was incredible, with fully destructible cars and several open world areas with collectibles and (I think) hidden races/missions.