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If there were, we would've probably heard about massive shifts in how scientists (and entrepreneurs!) are doing their work.
I have been seeing a bit of this, mostly uses of o1-pro and OpenAI Deep Research in chem/bio/medicine, and mostly via Twitter hype so far. But it might be the start of something.
In principle, distressed sales shouldn't affect the long term price since they have nothing to do with fundamentals - so it's really just a discount for non-distressed buyers. However crypto is weird and more like a Keynesian beauty contest than most things, so who knows.
I think they meant that as an analogy to how developed/sophisticated it was (ie they're saying that it's still early days for reasoning models and to expect rapid improvement), not that the underlying model size is similar.
That's a PR friendly way of saying that it failed to reach PMF.
Thanks for fixing this. The 'A' thing in particular multiple times caused me to try to edit comments thinking that I'd omitted a space.
>many of the top films by rating are anime
Not sure 4 of the top 100 being anime counts as unexpectedly many.
Not clear to me how to interpret the chart.
1FWIW I downvoted this mainly because I thought you were much too quick to dismiss the existing literature on this topic in favour of your personal theories, which is a bit of a bad habit around here.
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That's a reasonable suspicion but as a counterpoint there might be more low-hanging fruit in biomedicine than math, precisely because it's harder to test ideas in the former. Without the need for expensive experiments, math has already been driven much deeper than other fields, and therefore requires a deeper understanding to have any hope of making novel progress.
edit: Also, if I recall correctly, the average IQ of mathematicians is higher than biologists, which is consistent with it being harder to make progress in math.