It's hardly Google's problem that nobody else has a million cores, wouldn't you agree? Should they not publish the result at all if it's using more than a handful of cores so that anyone in academia can reproduce it? That'd be rather limiting.
Actually it IS google's problem. They don't publish through traditional academic venues unless it suits them (much like OpenAI/Anthropic, often snubbing places like NeurIPS due to not wanting to MIT open source their code/models which peer reviewers demand) and them demanding so many GPUs chokes supply for the rest of the field - a field which they rely on the free labor of to make complimentary technologies to their models.
> Google's problem that nobody else has a million cores, wouldn't you agree
On the contrary - their advantage. They know it and they can make outlandish claims that no one will disprove
Well, a goal of most science is to be reproducible, and it couldn't be reproduced, merely for technical reasons (and so we shared as much data from the runs as possible so people could verify our results). This sort of thing comes up when CERN is the only place that can run an experiment and nobody can verify it.