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American Philosophical Association (APA) announces two $10,000 AI2050 Prizes for philosophical work related to AI, with June 23, 2024 deadline: https://dailynous.com/2024/04/25/apa-creates-new-prizes-for-philosophical-research-on-ai/

https://www.apaonline.org/page/ai2050

https://ai2050.schmidtsciences.org/hard-problems/

Well, it's hard to tell because most other civilizations at the required level of wealth to discover this (by which I mean both sailing and surplus enough to have people who worry about the shape of the Earth at all) could one way or another have learned it via osmosis from Greece. If you only have essentially two examples, how do you tell whether it was the one who discovered it who was unusually observant rather than the one who didn't who was unusually blind? But it's an interesting question, it might indeed be a relatively accidental thing which for some reason was accepted sooner than you would have expected (after all, sails disappearing could be explained by an Earth that's merely dome-shaped; the strongest evidence for a completely spherical shape was probably the fact that lunar eclipses feature always a perfect disc shaped shadow, and even that requires interpreting eclipses correctly, and having enough of them in the first place).

Meta/object level is one possible mixup but it doesn't need to be that. Alternative example, is/ought: Cedar objects to thing Y. Dusk explains that it happens because Z. Cedar reiterates that it shouldn't happen, Dusk clarifies that in fact it is the natural outcome of Z, and we're off once more.

My best guess is that people in these categories were ones that were high in some other trait, e.g. patience, which allowed them to collect datasets or make careful experiments for quite a while, thus enabling others to make great discoveries.

I'm thinking for example of Tycho Brahe, who is best known for 15 years of careful astronomical observation & data collection. Similar for Gregor Mendel's 7-year-long experiments on peas. Same for Dmitry Belayev and fox domestication. Of course I don't know their cognitive scores, but those don't seem like a bottleneck in their work.

So the recipe to me looks like "find an unexplored data source that requires long-term observation to bear fruit, but would yield a lot of insight if studied closely, then investigate".

Classic type of argument-gone-wrong (also IMO a way autistic 'hyperliteralism' or 'over-concreteness' can look in practice, though I expect that isn't always what's behind it): Ashton makes a meta-level point X based on Birch's meta point Y about object-level subject matter Z. Ashton thinks the topic of conversation is Y and Z is only relevant as the jumping-off point that sparked it, while Birch wanted to discuss Z and sees X as only relevant insofar as it pertains to Z. Birch explains that X is incorrect with respect to Z; Ashton, frustrated, reiterates that Y is incorrect with respect to X. This can proceed for quite some time with each feeling as though the other has dragged a sensible discussion onto their irrelevant pet issue; Ashton sees Birch's continual returns to Z as a gotcha distracting from the meta-level topic XY, whilst Birch in turn sees Ashton's focus on the meta-level point as sophistry to avoid addressing the object-level topic YZ. It feels almost exactly the same to be on either side of this, so misunderstandings like this are difficult to detect or resolve while involved in one.

Perhaps half of the value of misaligned AI control is from acausal trade and half from the AI itself being valuable.

Why do you think these values are positive? I've been pointing out [LW(p) · GW(p)], and I see that Daniel Kokotajlo also pointed out in 2018 [LW(p) · GW(p)] that these values could well be negative. I'm very uncertain but my own best guess is that the expected value of misaligned AI controlling the universe is negative, in part because I put some weight on suffering-focused ethics.

My speculation for Omni-Grok in particular is that in settings like MNIST you already have two of the ingredients for grokking (that there are both memorising and generalising solutions, and that the generalising solution is more efficient), and then having large parameter norms at initialisation provides the third ingredient (generalising solutions are learned more slowly), for some reason I still don't know.

Higher weight norm means lower effective learning rate with Adam, no? In that paper they used a constant learning rate across weight norms, but Adam tries to normalize the gradients to be of size 1 per paramter, regardless of the size of the weights. So the weights change more slowly with larger initializations (especially since they constrain the weights to be of fixed norm by projecting after the Adam step). 

If you use ublock (or adblock, or adguard, or anything else that uses EasyList syntax), you can add a custom rule

lesswrong.com##.NamesAttachedReactionsCommentBottom-footerReactionsRow
lesswrong.com##.InlineReactHoverableHighlight-highlight:remove-class(InlineReactHoverableHighlight-highlight)

which will remove the reaction section underneath comments and the highlights corresponding to those reactions.

The former of these you can also do through the element picker.

I agree with RL agents being misaligned by default, even more so for the non-imitation-learned ones. I mean, even LLMs trained on human-generated data are misaligned by default, regardless of what definition of 'alignment' is being used. But even with misalignment by default, I'm just less convinced that their capabilities would grow fast enough to be able to cause an existential catastrophe in the near-term, if we use LLM capability improvement trends as a reference. 

Bowler's comment on Wallace is that his theory was not worked out to the extent that Darwin's was, and besides I recall that he was a theistic evolutionist. Even with Wallace, there was still a plethora of non-Darwinian evolutionary theories before and after Darwin, and without the force of Darwin's version, it's not likely or necessary that Darwinism wins out. 

But Wallace’s version of the theory was not the same as Darwin’s, and he had very different ideas about its implications. And since Wallace conceived his theory in 1858, any equivalent to Darwin’s 1859 Origin of Species would have appeared years later.

Also 

Natural selection, however, was by no means an inevitable expression of mid-nineteenth-century thought, and Darwin was unique in having just the right combination of interests to appreciate all of its key components. No one else, certainly not Wallace, could have articulated the idea in the same way and promoted it to the world so effectively.

And he points out that minus Darwin, nobody would have paid as much attention to Wallace. 

The powerful case for transmutation mounted in the Origin of Species prompted everyone to take the subject seriously and begin to think more constructively about how the process might work. Without the Origin, few would have paid much attention to Wallace’s ideas (which were in many respects much less radical than Darwin’s anyway). Evolutionism would have developed more gradually in the course of the 1860s and ’70s, with Lamarckism being explored as the best available explanation of adaptive evolution. Theories in which adaptation was not seen as central to the evolutionary process would have sustained an evolutionary program that did not enquire so deeply into the actual mechanism of change, concentrating instead on reconstructing the overall history of life on earth from fossil and other evidence. Only toward the end of the century, when interest began to focus on the topic of heredity (largely as a result of social concerns), would the fragility of the non-Darwinian ideas be exposed, paving the way for the selection theory to emerge at last.

Bowler also points out that Wallace didn't really form the connection between both natural and artificial selection.