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BLUF:
* To determine whether AI is ‘improving exponentially’, ‘hitting the wall’, or any other claim which involves a quantity or magnitude (e.g. ‘This model was a big leap/small increment’). We need a good y-axis: an interval scale of AI capability which means +1 unit always represents the same degree of ‘how much better’, in the same way +1 degree Celsius is always the same amount of ‘how much hotter’.
* Yet there is no good y-axis for AI capability. All our...
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* The animal welfare movement has already seen an influx in funding and should prepare for the possibility of more.
* The EA Animal Welfare Fund is encouraging those working in animal advocacy to actively set aside time and resources now to concretely plan for scaling sustainably, and we’ll support you in doing that.
* We’re requesting advocates set concrete ambitious goals and submit plans t...
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Cool angle and thought experiment, makes this all a bit more concete. My timelines for transformative AI already were close to what you're handwaving at, but I'm really happy to see more thought in this direction and hope that this inspires more people to take soon-ish tansformative AI even more seriously.
From my inside view it feels pretty unsettling to think about the changes I expect to happen in the coming decade or two. I wonder if you think the EA community is too slow to update their strategies here. It feels like what is coming is easily among the most difficult things humanity ever has to get right and we could be doing much more if we all took current TAI forecasts more into account.
You guessed it -- I believe that most of EA's best and brightest will end up having approximately zero impact (compared to what they could have had) because they are planning for business-as-usual. The twenties are going to take a lot of people by surprise, I think. Hopefully EAs working their way up the academic hierarchy will at least be able to redirect prestige/status towards those who have been building up expertise in AI safety and AI governance, when the time comes.