I got “0 conflicts, 1 bullet bitten”, with the bullet being the repugnant conclusion.
Does this mean that you have 6 bullets you’d prefer over having to bite the repugnant conclusion? :)
I got “0 conflicts, 1 bullet bitten”, with the bullet being the repugnant conclusion.
Does this mean that you have 6 bullets you’d prefer over having to bite the repugnant conclusion? :)
Thanks Sarah for the thoughtful response! I agree that women’s suffrage is an interesting case to consider.
But it neither fully eliminates that root cause, nor does it fully eliminate the specific problem (women’s situation improved after being granted the vote, but it didn’t immediately switch to “no more disadvantageous outcomes for women in society”); nor can I now come up with a more comprehensive systemic intervention that would achieve these outcomes in this example.
This is a good point. Of course, an intervention can do a huge amount of good without fully eliminating the root cause or the specific problem.
Part of what prompted my comment was that I got the impression that the claim was that people working on systemic change are interested in permanent solutions, whereas many EA interventions merely fight symptoms. I don’t think you explicitly claim this, on a reread. I’d probably disagree with this framing :)
For example, an organisation fighting malaria might identify the lack of a fair distribution of resources to afford medicine and protective equipment as one root cause of the problem.
The most plausible, to me, root cause solution for this problem is a gene drive, which is not systemic change.
The biggest historical example of a huge problem being solved via root cause is likely smallpox eradication, which was a technical intervention. (It of course also required a a lot of systems-level work.)
Do you have an example of a huge problem that’s been solved at its root cause through systemic change? Best I can think of is the Montreal Protocol. But may not count according your definition of “remov[ing] the problem indefinitely”, because the success depends on the protocol remaining in place.
I see a tension between addressing root causes (needs to be targeted on a very specific pathway – virus, chemical, mosquito, etc.) and your account of systemic change (needs to treat a problem “at large” and should look “beyond a narrow frame”).
Interested to hear your thoughts :)
you are supposed to hedge your positions in order to prevent an unexpected situation from tanking the whole fund
It’s my understanding that this hasn’t been the definition of a hedge fund for some time (ChatGPT agrees). I’m assume that the investors knew that Situational Awareness was not a hedge fund in the sense you’re describing one.
Of course, it might still be possible that investors weren’t aware of the amount of risks the fund was taking on.
I found the ‘founder deployment by end-2026’ the hardest to set. It comes a bit as a surprise at the end, as I was already taking into account some considerations before, and the descriptions seem to do as well (e.g. “assets after lockups, taxes, sale timing”, and “execution delays”).
I’m really excited about you & Sarah starting this! :)
I wouldn’t invest community building efforts in different settings until I was confident this ecosystem was thoroughly supported
It’s pretty notable that you’re only focusing on North American universities. Do you think this subset of universities is your comparative advantage? Or do you think that most community builders should primarily focus on that subset?
If it’s the latter, I’d be interested in hearing your thoughts on why efforts into other top universities (Oxford, Cambridge, Imperial, UCL, ETHZ, NUS, TUM, Melbourne, etc.) should be lower priority.
I generally think it’s fine to downvote/disagree without explaining. But if someone wants to share thoughts, we’d definitely be interested (also feel free to DM).
I think you should be much more confused & curious here than you seem to be.
In the UK, the government allocates about $500 million a year to cancer research. At the same time, private individuals can invest an equivalent amount ($500 million) into purchasing a single football club. Which investment holds greater value for humanity?
In the process of the football club changing hands for $500 million, what resources are destroyed?
Junior EAs getting advice that helps them grow: “I’m getting reard on”
So you’re saying he reard you?
My sense is that there’s been a significant shift in how much longtermists prioritise non-extinction risks over the last few years. A decade ago people who were trying to ensure the flourishing of the universe trillions of years from now were very often focused on avoiding events that would kill all humans.
I agree that this shift has happened over the past 2 years. But I think 2 to 3 years ago EAs were unusually focused on extinction compared to a decade ago. I remember more discussions back then around positive visions for the longterm.
For what it’s worth, we just announced our first Frontier Biodefense Fellowship at Pivotal, which is more singularly focused on avoiding extinction than most projects within AI safety (including our AI safety fellowship). Obviously the team has a range of motivation to work on Biodefense, but for me weak longtermist arguments are quite central.
What’s your explanation for why they attack EAs rather than, say, the AI ethics crowd?
I think there are a few plausible reasons that don’t require “undemocratic power-seeking” as the primary explanation:
EAs have been more motivated to & competent at gaining influence through legitimate/standard means
EA policy ideas enjoyed better reception by policymakers, were more aligned with their interests. The opponents might have stronger disagreement with AI ethics ideas, but see them as much less likely to have influence.
EAs compete more directly on their territory. The AI ethics crowd has sufficiently different values and assumptions that they’re less of a threat locally. (Kind of a ‘narcissism of small differences’.)
I expect that if your ideas are resonating with policymakers and people are getting appointed to relevant roles because they’re competent, bad faith opponents will target you roughly the same as if you’d been pulling strings behind the scenes in dubious ways.
Why was SB 1047 so controversial, while other much more onerous AI bills (esp for “little tech”) were barely discussed?
Maybe I’m missing something. SB 1047 seemed like a relatively transparent action, that followed the democratic process. Is your point that undemocratic power-seeking actions prior/unrelated to SB 1047 likely explains the stronger opposition to SB 1047?
I haven’t done philosophy in a while, might be missing something, but wanted to highlight what I think is the strongest objections to the view[1] in a way that may be more salient than the framing in section 6. It’s probably a reason why many might prefer a total view.
To be clear, I do think the Saturation View improves on other non-total views I know of, and I appreciate that they flag some of its hard-to-stomach implications. But I still think the post understates how bad the separability issue is. So here are two short points:
Non-separability is really bad.
The core problem is that facts about/experiences of wholly unaffected people can change the value of the affected person’s experiences. If there are already sufficiently many people elsewhere with sufficiently similar experiences, then an additional person having an extremely deep, meaningful, happy life adds near-zero marginal value. That seems very hard to accept.
And for negative experiences the implication is potentially even less intuitive. An additional torturous experience can add almost no marginal disvalue if enough sufficiently similar torture already exists. They discuss this under the “cheap suffering” problem & call it the strongest argument against the view, but I think it is worth emphasizing just how unintuitive of a conclusion this is. From the victim’s perspective, the torture is not any less bad because other similar torture already occurred. But the saturation view says that, from the point of view of population value, their torturous experience would matter hardyl at all.
ETA: Relatedly, the view assigns value to our experiences depending on empirically inaccessible facts. Whether sufficiently distant aliens have sufficiently similar experiences is something we probably can’t know, but it would radically change how our actions matter. That seems strange.
I don’t think the ‘tameness’ of the view recovers that much?
My understanding is that the Saturation View does better because violations of separability are localized. Ancient Egyptians or distant aliens only affect the marginal value of new lives if their experiences are sufficiently similar. So in many “normal situations”, the view behaves roughly separably.
But the separability worry still holds with sufficiently large numbers. If enough sufficiently similar unaffected lives exist elsewhere, they can radically change the marginal value of what we do here.
And population ethics is full of large-number objections. The Repugnant Conclusion itself gets its core intuitive force from considering sufficiently enormous populations, and is also not a “normal situation.” So if the Saturation View is partly motivated by avoiding the very bad large-number implications of total views, then its own large-number implications seem fair game too.
the authors agree with this, afaict
I’m sad to announce that I’m leaving academia.
I’m looking forward to working on AI safety.
Good point, they might know. Does anyone know a neurotypical? Or a friend of a neurotypical that I could reach out to?
https://substack.com/@yearningslav/p-213445133