That is comparing an all to all switched Nvlink fabric to a 3D torus for TPUs. Those are completely different network topologies with different tradeoffs.
For example the currently very popular Mixture of Experts architectures require a lot of all to all traffic (for expert parallelism) which works a lot better on the switched NVlink fabric as opposed where it doesn't need to traverse multiple links in the torus.
It's the one exception in the semiconductor supply chain where Europe is still leading. For all other parts of the value creation Europe is either a niche player at best or completely absent, well into the actual application layer.
But these social third places have also shifted. Younger generations aren't going out as much but e.g. playing video games specifically with other close friends is very popular.
Inference throughout scales really well with larger batch sizes (at the cost of latency) due to rising arithmetic intensity and the fact that it's almost always memory BW limited.
If it's just filtered out in the training sets, adding the information as context should work out fine - after all this is exactly how o3, Gemini 2.5 and co deal with information that is newer than their training data cutoff.
Given the enourmous costs of decommissioning nuclear power plants already I fail to see how a reactor containment that lasts 10-20 years at best improves the situation.
Interestingly enough the price for these giant heatpumps is pretty much in line with domestic ~10kw units.