Non-EA interests include chess and TikTok (@benthamite). Formerly @ CEA, METR + a couple now-acquired startups.
Feedback always appreciated; feel free to email/DM me or use this link if you prefer to be anonymous.
why, if AI truly makes most developers 10x more productive and transforms the unit economics of customers, are the valuations of a cohort of prestigious "AI-enabled" startups round about their non-AI enabled 2019 peers?
Is this true? In my previous post I noted that the YC data was out of step with other data sets like Stripe's, but I haven't found a great dataset to answer this conclusively.Â
I am reminded of the trend where people would post a university's "everyone belongs here" inclusion statement next to the rejection letter they got from that university.
More seriously: I often talk to people who overestimate the extent to which AI safety "experts" have things under control, and also those with imposter syndrome. I worry that the alternatives you list don't really work well for this audience, and I'm curious if you have other suggestions (or disagree with this claim)?
Thanks Vasco, this is helpful.
I would be interested in a version of this contest attempting to answer something like "If you believe Vasco that donations to SWP are better than torture, should you also believe that AI alignment is better than misalignment?"
I think that is what Richard Chappell is referring to when he mentions "radical skeptics" here. But I would be interested in a version of his post which defends the claim that EAs are reasonably justified in making the trade-offs we currently make (even if a radical skeptic would not be convinced of this defense).
Interesting post, thanks Richard.
Am I correct in understanding you to be suggesting "starting a nuclear war" as an example of something so obviously c-dispreferable that only a "radical skeptic" would disagree?Â
If not, do you have an example of a pair of actions such that only a radical skeptic could doubt the c-preferability of one of them?
Thanks Dan, I was about to tell you that I meant that the null hypothesis can't be rejected,[1]Â but then I asked Opus to confirm. Opus says that, while all of the metrics I posted here do indeed show a nonsignificant difference, age-adjusted post-chatGPT YC companies are worth 1.5x more on a log scale, and that this is significant at p = 0.001 (which survives corrections for multiple comparisons).
I've changed the title to say that they aren't growing "much" faster, which hopefully conveys the accurate takeaway.
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I tried to say this informally in the article: "YC companies are arguably growing a bit faster than pre-2023 companies (including AfterQuery, YC’s fastest-ever unicorn), but the difference isn’t large relative to the underlying variance"