Yeah, but assuming your p(doom) isn’t really high, this needs to balanced against the chance that AI goes well, and your kid has a really, really, really good life.
I don’t expect my daughter to ever have a job, but think that in more than half of worlds that seem possible to me right now, she has a very satisfying life—one that is better than it would be otherwise in part because she never has a job.
Timothy Underwood
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I’d note that acoup’s model of fires primacy making defence untenable between hi tech nations, while not completely disproven by the Ukraine war, is a hypothesis that seems much less likely to be true/ less true than it did in early 2022. The Ukraine war has shown in most cases a strong advantage to a prepared defender and the difficulty of taking urban environments.
The current Israel—Hamas was shows a similar tendency, where Israel is moving very slowly into the core urban concentrations (ie it has surrounded Gaza city so far, but not really entered it), though its superiority in resources relative to its opponent is vastly greater than Russia’s advantage over Ukraine was.
I’d expect per capita war deaths to have nothing to do with offence/ defence balance as such (unless the defence gets so strong that wars simply don’t happen, in which case it goes to zero).
Per capita war deaths in this context are about the ability of states to mobilize populations, and about how much damage the warfare does to the civilian population that the battle occurs over. I don’t think there is any uncomplicated connection between that and something like ‘how much bigger does your army need to be for you to be able to successfully win against a defender who has had time to get ready’.
This matches my sense of how a lot of people seem to have… noticed that GPT-4 is fairly well aligned to what the OpenAI team wants it to be, in ways that Yudkowsky et al said would be very hard, and still not view this as at a minimum a positive sign?
Ie problems of the class ‘I told the intelligence to get my mother out of the burning building and it blew her up so the dead body flew out the window, this is because I wasn’t actually specific enough’ just don’t seem like they are a major worry anymore?Usually when GPT-4 doesn’t understand what I’m asking, I wouldn’t be surprised if a human was confused also.
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Weirdly, and I think this is because my childhood definitely was not optimized for getting into a good university (I was homeschooled, and ended up transferring to Berkley based off perfect grades for two years in a community college), but reading the last paragraphs here made me rather nostolgic for the two or three weeks I spent doing practice SAT tests.
I mean, it kind of does fine at arithmetic?
I just gave gpt3.5 three random x plus y questions, and it managed one that I didn’t want to bother doing in my head.
I think the issue is that creating an incentive system where people are rewarded for being good at an artificial game that has very little connection to their real world cericumstances, isn’t going to tell us anything very interesting about how rational people are in the real world, under their real constraints.
I have a friend who for a while was very enthused about calibration training, and at one point he even got a group of us from the local meetup + phil hazeldon to do a group exercise using a program he wrote to score our calibration on numeric questions drawn from wikipedia. The thing is that while I learned from this to be way less confident about my guesses—which improves rationality, it is actually, for the reasons specified, useless to create 90% confidence intervals about making important real world decisions.
Should I try training for a new career? The true 90% confidence interval on any difficult to pursue idea that I am seriously considering almost certainly includes ‘you won’t succeed, and the time you spend will be a complete waste’ and ‘you’ll do really well, and it will seem like an awesome decision in retrospect’.
You might capture value out of that relative to broad equities if the world ends up both severely deflationary due to falling costs, and where current publicly traded companies are mostly unable to compete in the new context.