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If you have Long COVID or ME/CFS, or want to learn more about them, I highly recommend https://s4me.info. The signal to noise ratio is much better than on other forums for those topics that I've found. The community is good at recognizing and critiquing low vs high quality studies.
As an example of the quality, this factsheet created by the community is quite good: https://s4me.info/docs/WhatIsMECFS-S4ME-Factsheet.pdf
If compute is the main bottleneck to AI progress, then one goalpost to watch for is when AI is able to significantly increase the pace of chip design and manufacturing. After writing the above, I searched for work being done in this area and found this article. If these approaches can actually speed up certain steps in this process from taking weeks to just taking a few days, will that increase the pace of Moore's law? Or is Moore's law mainly bottlenecked by problems that will be particularly hard to apply AI to?
I have a potential category of questions that could fit on Metaculus and work as an "AGI fire alarm." The questions are of the format "After an AI system achieves task x, how many years will it take for world output to double?"