https://statmodeling.stat.columbia.edu/2026/05/14/as/
"Previously it didn’t feel like such a crime to talk about intelligence or learning in machines because nothing really worked that well, so the labels were clearly aspirational. But now it’s much easier to believe the simulacra. And so it becomes harder to tell when we are using human-oriented terms as a predictive convenience versus a scientific claim versus a marketing device." "Too much casualness with words is unscientific. There was no good reason in the first place to call the token sequences a model produces when we ask it to “explain its reasoning” reasoning, other than that’s what we wish we could see." And much more -- rec --
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