Another question is why they were disenchanted with capitalism. But it's not difficult to answer. ... there was the General Strike and the Great Depression.raemon on Vavilov Day Discussion Post
(I just enabled agree/disagree voting for this thread, at Elizabeth's requeset)elizabeth-1 on Vavilov Day Discussion Post
It looks like you're framing this as a decision being made by and for a group as a whole (as opposed to an individual observation designed by and for each person themselves). Can you say more on why you believe that's the best frame? My sense is a lot of the off-LW conflict over Vavilov Day boils down to the framing of individual vs. collective decision.kingsupernova on Vavilov Day Discussion Post
Thoughts on having part of the tradition be "have tasty food easily accessible (perhaps within sight range) during the fast"?
This was probably meant sarcastically, but I do think that having part of the tradition be "have tasty food nearby during the fast" is worth consideration.
If the goal of rationalist holidays is to help us feel like a community, then this could make us feel more "special" and perhaps help towards that goal. (Many religions have holidays that call for a fast, but as far as I know none of them expect one to tempt themselves.)
It's also a nice display of self-control and the dangers of having instant gratification available. There's value in learning the ability to resist those urges for one's long-term benefit.matthew-barnett on Lives of the Cambridge polymath geniuses
The conceptual reason why anti-capitalists are attracted to Marxism or the Soviet Union is probably fairly simple. Marx provided a cogent critique of the capitalist economic system, disseminating one of the most widely-read political documents of the 19th and early 20th century. The broader socialist tradition was happy to adopt his philosophy, as they believed it provided a solid scientific foundation for socialism more generally, and a reason for optimism. The Soviet Union was the first major socialist experiment. There had previously been attempts, such as the Paris Commune, but these were short-lived and had minor effects.
Therefore, it's no surprise why intellectuals favorable to socialism would have plenty to be excited about regarding the Soviet Union. That's when they finally got to see their philosophy in action.delton137 on How does bee learning compare with machine learning?
Huh, that's pretty cool, thanks for sharing.delton137 on How does bee learning compare with machine learning?
This is pretty interesting. There is a lot to quibble about here, but overall I think the information about bees here is quite valuable for people thinking about where AI is at right now and trying to extrapolate forward.
A different approach, perhaps more illuminating would be to ask how much of a bee's behavior could we plausibly emulate today by globing together a bunch of different ML algorithms into some sort of virtual bee cognitive architecture - if say we wanted to make a drone that behaved like a bee ala Black Mirror. Obviously that's a much more complicated question, though.
I feel compelled to mention my friend Logan Thrasher Collins' paper, The case for emulating insect brains using anatomical "wiring diagrams" equipped with biophysical models of neuronal activity. He thinks we may be able to emulate the fruit fly brain in about 20 years at near-full accuracy, and this estimate seems quite plausible.
There were a few sections I skipped, if I have time I'll come back and do a more thorough reading and give some more comments.
The compute comparison seems pretty sketchy to me. A bee's visual cortex can classify many different things, and the part responsible for doing the classification task in the few shot learning study is probably just a small subset. [I think below Rohin made a similar point below.] Deep learning models can be pruned somewhat without loosing much accuracy, but generally all the parameters are used. Another wrinkle is the rate of firing activity in the visual cortex depends on the input, although there is a baseline rate too. The point I'm getting at is it's sort of an apples-to-oranges comparison. If the bee only had to do the one task in the study to survive, evolution probably would have found a much more economical way of doing it, with far fewer neurons.
My other big quibble I have is I would have made transparent that Cotra's biological anchors method for forecasting TAI assumes that we will know the right algorithm before the hardware becomes available. That is a big questionable assumption and thus should be stated clearly. Arguably algorithmic advancement in AI at the level of core algorithms (not ML-ops / dev ops / GPU coding) is actually quite slow. In any case, it just seems very hard to predict algorithmic advancement. Plausibly a team at DeepMind might discover the key cortical learning algorithm underlying human intelligence tomorrow, but there's other reasons to think it could take decades.