

Ragebait?
I’m in robotics and find plenty of use for ML methods. Think of image classifiers, how do you want to approach that without oversimplified problem settings?
Or even in control or coordination problems, which can sometimes become NP-hard. Even though not optimal, ML methods are quite solid in learning patterns of highly dimensional NP hard problem settings, often outperforming hand-crafted conventional suboptimal solvers in computation effort vs solution quality analysis, especially outperforming (asymptotically) optimal solvers time-wise, even though not with optimal solutions (but “good enough” nevertheless). (Ok to be fair suboptimal solvers do that as well, but since ML methods can outperform these, I see it as an attractive middle-ground.)
Casually rotating 18,446,744,073,709,551,616 IP addresses to bypass rate limits.
I am not in IT security, but find it fascinating what clever tricks people use to break (into) stuff.
In a better world, we might use this energy for advancing humanity instead of looking how we can hurt each other. (Not saying the author is doing that, just lamenting that ITS is necessary due to hostile actors in this world. )