I don’t really buy that justification, for three reasons:

1. Most implementations do not do this automatic cooperative multitasking trick and most users [0] don’t want it done to their code.

2. The fact that a “step” is guaranteed to happen in finite time is far too weak for most use cases. I’ve done plenty of kernel programming, and a lot of kernels are partially or fully cooperative scheduled. Even somewhat long loops need manually inserted preemption points.

3. “Finite” can be a very long time indeed. There are literally competitions to see who can make the largest busy beaver machine.

Put another way, undefined behavior is a sharp line - if code has UB, it has UB and it if doesn’t, it doesn’t. But code being slow is not a sharp line - something can take 1 ns or 1 ms or 1 second or 1 hour or 1 year or 100 years or 1M years, etc.

A scheduler that fails to schedule a runnable thread in finite time is wrong, but so is a scheduler that fails to schedule it for 100 years or for a week. If it merely takes a minute, then whether it’s right or wrong depends on the situation.

So if you’re talking about schedulers (which that part of talk mostly is), then I don’t think the ability to say “infinite loop without side effects are UB, so my scheduler is correct if I assume that all side-effect-free loops are finite” is actually useful.

There are real world examples. At one point, Go only preempted its cooperative threads at certain points, but this was a problem and newer versions of Go can even preempt tight loops. Python, which threads the worst-of-both-worlds middle ground between asynchronous and cooperative preemption, does not allow an infinite loop (in ordinary Python code) to starve other threads.

[0] Most users of C- or Rust-like languages anyway. Quite a few more managed languages (e.g. Go) are the other way around.