On Dichotomy:
Looking at the full article:
(Having just read the forum summary so far) I think there's a bunch of good exploration of arguments here, but I'm a bit uncomfortable with the framing. You talk about "if Maxipok is false", but this seems to me like a type error. Maxipok, as I understand it, is a heuristic: it's never going to give the right answer 100% of the time, and the right lens for evaluating it is how often it gives good answers, especially compared to other heuristics the relevant actors might reasonably have adopted.
Quoting from the Bostrom article you link:
At best, maxipok is a rule of thumb or a prima facie suggestion.
It seems to me like when you talk about maxipok being false, you are really positing something like:
Strong maxipok: The domain of applicability of maxipok is broad, so that pretty much all impartial consequentialist actors should adopt it as a guiding principle
Whereas maxipok is a heuristic (which can't have truth values), strong maxipok (as I'm defining it here) is a normative claim, and can have truth values. I take it that this is what you are mostly arguing against -- but I'd be interested in your takes; maybe it's something subtly different.
I do think that this isn't a totally unreasonable move on your part. I think Bostrom writes in some ways in support of strong maxipok, and sometimes others have invoked it as though in the strong form. But I care about our collectively being able to have conversations about the heuristic, which is one that I think may have a good amount of value even if strong maxipok is false, and I worry that in conflating them you make it harder for people to hold or talk about those distinctions.
(FWIW I've also previously argued against strong maxipok, even while roughly accepting Dichotomy, on the basis that other heuristics may be more effective.)
I think Eric has been strong about making reasoned arguments about the shape of possible future technologies, and helping people to look at things for themselves. I wouldn't have thought of him (even before looking at this link[1]) as particularly good on making quantitative estimates about timelines; which in any case is something he doesn't seem to do much of.
Ultimately I am not suggesting that you defer to Drexler. I am suggesting that you may find reading his material as a good time investment for spurring your own thoughts. This is something you can test for yourself (I'm sure that it won't be a good fit for everyone).
And while I do think it's interesting, I'm wary of drawing too strong conclusions from that for a couple of reasons:
I'm not sure. I think there are versions of things here which are definitely not convergence (straightforward acausal trade between people who understand their own values is of this type), but I have some feeling like there might be extra reasons for convergence from people observing the host, and having that fact feed into their own reflective process.
(Indeed, I'm not totally sure there's a clean line between convergence and trade.)
I think there's something interesting to this argument, although I think it may be relying on a frame where AI systems are natural agents, in particular at this step:
a strategically and philosophically competent AI should seemingly have its own moral uncertainty and pursue its own "option value maximization" rather than blindly serve human interests/values/intent
It's not clear to me why the key functions couldn't be more separated, or whether the conflict you're pointing persists across such separation. For instance, we might have a mix of:
I mean "not clear to me" very literally here -- I think that perhaps some version of your conflict will pose a challenge to such setups. But I'm responding with this alternate frame in the hope that it will be useful in advancing the conversation.
My belief is that the Open Philanthropy Project, EA generally, and Oxford EA particularly, had bad AI timelines and bad ASI ruin conditional probabilities; and that these invalidly arrived-at beliefs were in control of funding, and were explicitly publicly promoted at the expense of saner beliefs.
There is a surprising amount of normative judgment in here for a fact check. Are you looking just for disagreements that people held roughly the beliefs you later outline (I think you overstate things but are directionally correct in describing how beliefs differed from yours), or also disagreements about whether they were bad beliefs?
For flavour: as I ask that question, I'm particularly (but not only) thinking of the reports you cite, where you seem to be casting them as "OP really throwing its weight behind these beliefs", and I perceived them more as "earnest attempts by people at OP to figure out what was legit, and put their reasoning in public to let others engage". I certainly didn't just agree with them at the time, but I thought it was a good step forwards for collective epistemics to be able to have conversations at that level of granularity. Was it confounding that they were working at a big funder? Yeah, kinda -- but that seemed second order compared to it just being great that anyone at all was pushing the conversation forwards in this way, even if there were a bunch of aspects of them I wasn't on board with. I'm not sure if this is the kind of disagreement you're looking for. (Maybe it's just that I was on board with more of them than you were, and so I saw them as flawed-but-helpful rather than unhelpful? Then we get to the general question of what standards bad should be judged by given our lack of access to ground truth.)
Sorry, I didn't mean mislabelled in terms of having the labels the wrong way around. I meant that the points you describe aren't necessarily the ends of the spectrum -- for instance, worse than just losing all alignment knowledge is losing all the alignment knowledge while keeping all of the knowledge about how to build highly effective AI.
At least that's what I had in mind at the time of writing my comment. I'm now wondering if it would actually be better to keep the capabilities knowledge, because it makes it easier to do meaningful alignment work as you do the rerun. It's plausible that this is actually more important than the more explicitly "alignment" knowledge. (Assuming that compute will be the bottleneck.)
Yep, I guess I'm into people trying to figure out what they think and which arguments seem convincing, and I think that it's good to highlight sources of perspectives that people might find helpful-according-to-their-own-judgement for that. I do think I have found Drexler's writing on AI singularly helpful on my inside-view judgements.
That said: absolutely seems good for you to offer counterarguments! Not trying to dismiss that (but I did want to explain why the counterargument wasn't landing for me).