Anders Lindström's Shortform

I don't have any first- or second-hand experience with that happening.  I see occasional articles about protein and materials research that LLMs have massively accelerated, but my suspicion is the main value currently is NOT cutting-edge significant problem solving.  

The "mundane utility" section of Zvi's writeups have very good examples of what it IS currently good at now.  There's yet a long way to go to handle long-running multi-step creative analysis that the top few percent of humans are engaged in.  What is the shape of the curve (both of capabilities and of "intelligence level" metrics) is currently not known.

You mean specifically that an LLM solved it? Otherwise Deepmind's work will give you many examples. (Although there've been surprisingly little breakthroughs in math yet)

GPT-4 level models can be trained with mere thousands of GPUs. Export restrictions for a product that's otherwise on the open market aren't going to work at this scale, and also replacement with inferior accelerators remains feasible. But one GPT is 30x compute, and procuring 100K or 3000K GPUs (or many more in their inferior alternatives) is more reasonably a practical impossibility.

Very serious negative update. And they practically say: we read Sora paper and then replicated.

As I wrote in another post, this can easily turn into another TikTok tool, where dumb westerners spill personal info into what amounts to a Chinese intelligence gathering apparatus.