I work at the Alignment Research Center (ARC). I write a blog on stuff I’m interested in (such as math, philosophy, puzzles, statistics, and elections): https://ericneyman.wordpress.com/
Eric Neyman
Karma: 2,926
My random guess is:
The dark blue bar corresponds to the testing conditions under which the previous SOTA was 2%.
The light blue bar doesn’t cheat (e.g. doesn’t let the model run many times and then see if it gets it right on any one of those times) but spends more compute than one would realistically spend (e.g. more than how much you could pay a mathematician to solve the problem), perhaps by running the model 100 to 1000 times and then having the model look at all the runs and try to figure out which run had the most compelling-seeming reasoning.
What’s your guess about the percentage of NeurIPS attendees from anglophone countries who could tell you what AGI stands for?
I just donated $5k (through Manifund). Lighthaven has provided a lot of value to me personally, and more generally it seems like a quite good use of money in terms of getting people together to discuss the most important ideas.
More generally, I was pretty disappointed when Good Ventures decided not to fund what I consider to be some of the most effective spaces, such as AI moral patienthood and anything associated with the rationalist community. This has created a funding gap that I’m pretty excited about filling. (See also: Eli’s comment.)
Consider pinning this post. I think you should!
It took until I was today years old to realize that reading a book and watching a movie are visually similar experiences for some people!
Let’s test this! I made a Twitter poll.
Oh, that’s a good point. Here’s a freehand map of the US I drew last year (just the borders, not the outline). I feel like I must have been using my mind’s eye to draw it.
I think very few people have a very high-fidelity mind’s eye. I think the reason that I can’t draw a bicycle is that my mind’s eye isn’t powerful/detailed enough to be able to correctly picture a bicycle. But there’s definitely a sense in which I can “picture” a bicycle, and the picture is engaging something sort of like my ability to see things, rather than just being an abstract representation of a bicycle.
(But like, it’s not quite literally a picture, in that I’m not, like, hallucinating a bicycle. Like it’s not literally in my field of vision.)
Huh! For me, physical and emotional pain are two super different clusters of qualia.
My understanding of Sarah’s comment was that the feeling is literally pain. At least for me, the cringe feeling doesn’t literally hurt.
[Question] Which things were you surprised to learn are not metaphors?
I don’t really know, sorry. My memory is that 2023 already pretty bad for incumbent parties (e.g. the right-wing ruling party in Poland lost power), but I’m not sure.
Fair enough, I guess? For context, I wrote this for my own blog and then decided I might as well cross-post to LW. In doing so, I actually softened the language of that section a little bit. But maybe I should’ve softened it more, I’m not sure.
[Edit: in response to your comment, I’ve further softened the language.]
Yeah, if you were to use the neighbor method, the correct way to do so would involve post-processing, like you said. My guess, though, is that you would get essentially no value from it even if you did that, and that the information you get from normal polls would prrtty much screen off any information you’d get from the neighbor method.
I think this just comes down to me having a narrower definition of a city.
If you ask people who their neighbors are voting for, they will make their best guess about who their neighbors are voting for. Occasionally their best guess will be to assume that their neighbors will vote the same way that they’re voting, but usually not. Trump voters in blue areas will mostly answer “Harris” to this question, and Harris voters in red areas will mostly answer “Trump”.
Ah, I think I see. Would it be fair to rephrase your question as: if we “re-rolled the dice” a week before the election, how likely was Trump to win?
My answer is probably between 90% and 95%. Basically the way Trump loses is to lose some of his supporters or have way more late deciders decide on Harris. That probably happens if Trump says something egregiously stupid or offensive (on the level of the Access Hollywood tape), or if some really bad news story about him comes out, but not otherwise.
It’s a little hard to know what you mean by that. Do you mean something like: given the information known at the time, but allowing myself the hindsight of noticing facts about that information that I may have missed, what should I have thought the probability was?
If so, I think my answer isn’t too different from what I believed before the election (essentially 50⁄50). Though I welcome takes to the contrary.
I’m not sure (see footnote 7), but I think it’s quite likely, basically because:
It’s a simpler explanation than the one you give (so the bar for evidence should probably be lower).
We know from polling data that Hispanic voters—who are disproportionately foreign-born—shifted a lot toward Trump.
The biggest shifts happened in places like Queens, NY, which has many immigrants but (I think?) not very much anti-immigrant sentiment.
That said, I’m not that confident and I wouldn’t be shocked if your explanation is correct. Here are some thoughts on how you could try to differentiate between them:
You could look on the precinct-level rather than the county-level. Some precincts will be very high-% foreign-born (above 50%). If those precincts shifted more than surrounding precincts, that would be evidence in favor of my hypothesis. If they shifted less, that would be evidence in favor of yours.
If someone did a poll with the questions “How did you vote in 2020”, “How did you vote in 2024″, and “Were you born in the U.S.”, that could more directly answer the question.
Yeah, I agree that that could work. I (weakly) conjecture that they would get better results by doing something more like the thing I described, though.