I see it as: they're all trying really hard problems that aren't in the training data, to gauge if their models are improving, achieved by looking at problem that humans haven't been able to solve yet. The evidence to this is all the problems being publicized in the last few weeks.

Or, less favourably: they are burning a ton of tokens on any random "hard" tasks they can think of to try and generate stories about AI doing amazing things to pump the hype, infinite monkeys theorem as a playbook. You only advertise the ones you succeed on, thus pushing the idea that's what they do routinely. Stochastic "genius".