interesting! still, aestivation seems to easily trump the black hole heat dumping, no?
jaan
Karma: 837
dyson spheres are for newbs; real men (and ASIs, i strongly suspect) starlift.
thank you for continuing to stretch the overton window! note that, luckily, the “off-switch” is now inside the window (though just barely so, and i hear that big tech is actively—and very myopically—lobbying against on-chip governance). i just got back from a UN AIAB meeting and our interim report does include the sentence “Develop and collectively maintain an emergency response capacity, off-switches and other stabilization measures” (while rest of the report assumes that AI will not be a big deal any time soon).
thanks! basically, i think that the top priority should be to (quickly!) slow down the extinction race. if that’s successful, we’ll have time for more deliberate interventions — and the one you propose sounds confidently net positive to me! (with sign uncertainties being so common, confident net positive interventions are surprisingly rare).
AI takeover.
Jaan Tallinn’s 2023 Philanthropy Overview
i might be confused about this but “witnessing a super-early universe” seems to support “a typical universe moment is not generating observer moments for your reference class”. but, yeah, anthropics is very confusing, so i’m not confident in this.
three most convincing arguments i know for OP’s thesis are:
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atoms on earth are “close by” and thus much more valuable to fast running ASI than the atoms elsewhere.
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(somewhat contrary to the previous argument), an ASI will be interested in quickly reaching the edge of the hubble volume, as that’s slipping behind the cosmic horizon — so it will starlift the sun for its initial energy budget.
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robin hanson’s “grabby aliens” argument: witnessing a super-young universe (as we do) is strong evidence against it remaining compatible with biological life for long.
that said, i’m also very interested in the counter arguments (so thanks for linking to paul’s comments!) — especially if they’d suggest actions we could take in preparation.
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i would love to see competing RSPs (or, better yet, RTDPs, as @Joe_Collman pointed out in a cousin comment).
Sure, but I guess I would say that we’re back to nebulous territory then—how much longer than six months? When if ever does the pause end?
i agree that, if hashed out, the end criteria may very well resemble RSPs. still, i would strongly advocate for scaling moratorium until widely (internationally) acceptable RSPs are put in place.
I’d very surprised if there was substantial x-risk from the next model generation.
i share the intuition that the current and next LLM generations are unlikely an xrisk. however, i don’t trust my (or anyone else’s) intuitons strongly enough to say that there’s a less than 1% xrisk per 10x scaling of compute. in expectation, that’s killing 80M existing people—people who are unaware that this is happening to them right now.
the FLI letter asked for “pause for at least 6 months the training of AI systems more powerful than GPT-4” and i’m very much willing to defend that!
my own worry with RSPs is that they bake in (and legitimise) the assumptions that a) near term (eval-less) scaling poses trivial xrisk, and b) there is a substantial period during which models trigger evals but are existentially safe. you must have thought about them, so i’m curious what you think.
that said, thank you for the post, it’s a very valuable discussion to have! upvoted.
the werewolf vs villager strategy heuristic is brilliant. thank you!
if i understand it correctly (i may not!), scott aaronson argues that hidden variable theories (such as bohmian / pilot wave) imply hypercomputation (which should count as an evidence against them): https://www.scottaaronson.com/papers/npcomplete.pdf
interesting, i have bewelltuned.com in my reading queue for a few years now—i take your comment as an upvote!
myself i swear by FDT (somewhat abstract, sure, but seems to work well) and freestyle dancing (the opposite of abstract, but also seems to work well). also coding (eg, just spent several days using pandas to combine and clean up my philanthropy data) -- code grounds one in reality.
Jaan Tallinn’s 2022 Philanthropy Overview
having seen the “kitchen side” of the letter effort, i endorse almost all zvi’s points here. one thing i’d add is that one of my hopes urging the letter along was to create common knowledge that a lot of people (we’re going to get to 100k signatures it looks like) are afraid of the thing that comes after GPT4. like i am.
thanks, everyone, who signed.
EDIT: basically this: https://twitter.com/andreas212nyc/status/1641795173972672512
while it’s easy to agree with some abstract version of “upgrade” (as in try to channel AI capability gains into our ability to align them), the main bottleneck to physical upgrading is the speed difference between silicon and wet carbon: https://www.lesswrong.com/posts/Ccsx339LE9Jhoii9K/slow-motion-videos-as-ai-risk-intuition-pumps
yup, i tried invoking church-turing once, too. worked about as well as you’d expect :)
looks great, thanks for doing this!
one question i get every once in a while and wish i had a canonical answer to is (probably can be worded more pithily):
“humans have always thought their minds are equivalent to whatever’s their latest technological achievement—eg, see the steam engines. computers are just the latest fad that we currently compare our minds to, so it’s silly to think they somehow pose a threat. move on, nothing to see here.”
note that the canonical answer has to work for people whose ontology does not include the concepts of “computation” nor “simulation”. they have seen increasingly universal smartphones and increasingly realistic computer games (things i’ve been gesturing at in my poor attempts to answer) but have no idea how they work.
correct! i’ve tried to use this symmetry argument (“how do you know you’re not the clone?”) over the years to explain the multiverse: https://youtu.be/29AgSo6KOtI?t=869