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I have the same feeling about beliefs, sometimes. Like because probabilities bake in all possible worlds, then somehow even when people are “wrong” they can fall back on “well ten percent things do happen sometimes.” And there are supposed to be remedies for this like Brier scores and what not and probably with something as distilled as a prediction market this mostly works. But in practice I’ve often had the experience that people seem to under-update, i.e. that the directional vibe/gestalt/etc was pretty wrong even though technically this was within the space of what they expected might happen.

Like, when AI 2027 updates that it’s actually probably 2028, or if some of the stuff happens and other stuff doesn’t, or if it seems like it’s actually more like 2035—how wrong are we supposed to think the overall framework is? I haven’t actually read the report so maybe that’s a bad example, but my guess is that it will basically be kind of hard to tell. Were they right about the generators, but it all just took longer than they were expecting? Can you squint and say that X and Y counted? Did some important milestone happen by 2027 that feels sort of like the thing they were saying?

This is always hard, of course. It can take decades for “correct” ideas in science to really take hold; to convince or perhaps just outlive even the staunchest supporters of the old regime. It’s easy to find ways to believe in ideas one loves! But I feel like people who prescribe to the Bayesian paradigm sometimes think themselves immune to these dynamics, as if because everything has been neatly quantified then it can all be sorted out in a crisp way. Anyway, getting a bit off topic here. Perhaps I am trying to say that there are also willothewisp dynamics here—something like people being drawn into what feels like clarity about the situation, when it’s in fact the same confusion under new guises.

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