This post was published for draft amnesty day, so it’s less polished than the typical EA forum post.
Epistemic status: in the spirit of Cunningham's Law [1].
Givewell estimates that $300 million in marginal funding would result in ~30,000 additional lives saved, that’s very roughly $0.50 per day of life.
If you believe that there’s a higher than 10% chance of extinction via AGI[2], that means that delaying AGI by one day gives you 10% · 10¹⁰[3] life-days, equivalent to ~$0.5B in GiveWell marginal dollars (as a rough order of magnitude).
Potential disagreements and uncertainties:
- Delaying AGI is, in expectation, going to make lives in pre-AGI world worse.
To me, this seems negligible compared to the risk of dying, unless you put the 0-point of a “life worth living” very high (e.g. you think ~half the current global population would be better off dead). If the current average value of a life is X, for an AGI transformation to make it go to 2X it would need to be extremely powerful and extremely aligned. - Under longtermism, the value of current lives saved is negligible compared to the value of future lives that are more likely to exist. So the only thing that matters is if the particular method by which you delay AGI reduces x-risks.[4]
I would guess that, probably, delaying AGI by default reduces the probability of x-risks by giving more time for a “short reflection”, and for the field of AI Alignment to develop. - Delaying AGI is not tractable, e.g. regulation doesn’t work.
It seems to me that lots of people believe excessive regulation raises prices and slows down industries and processes. I don’t understand how that doesn’t apply to AI in particular (and the same arguments don’t apply to nuclear power, healthcare, or other safety-sensitive very technical areas). And there are areas where differential technological development happened in practice (e.g. human cloning and embryo DNA editing). - There's significantly less than a 1% risk from AGI for lives that morally matter.
It's possible, probably my main uncertainty, but I think it would require both narrow person affecting views and a lot of certainty on AI timelines or consequences.
Proposals:
- Signal boost Instead of technical research, more people should focus on buying time and Ways to buy time from Akash
- Ride the current wave of AI skepticism by people worried about it being racist, or being replaced and left unemployed. To lobby for significantly more government involvement, to slow down progress (like the FDA in medicine).
- In general, focus less on technical / theorem-proving alignment work, or hoping AI capability companies don’t get tempted to gamble billions of lives on a chance of becoming trillionaires after some EA engineers start working there.
Curious on your thoughts!
- ^
The best way to get the right answer on the Internet is not to ask a question; it's to post the wrong answer. (Wikipedia)
- ^
If you believe it’s ~100% just multiply by 10, if you believe it’s ~1% just divide by 10
- ^
Human population is roughly 10^10 humans
- ^
Extinction, unrecoverable collapse/stagnation, or flawed realization
I agree! In recent days, I've been soundboarding an idea of mine:
Idea: AI Generated Content (AIGC) Policy Consultancy
Current Gaps:
1. Policy around services provided by AIGC is probably not gonna be good within the next decade, despite the speed with which AI will begin automating tasks and industries. See: social media, crypto policy.
2. AI Safety community currently struggles with presenting strong, compelling value propositions or near-term inroads into policymaking circles. This is consistent with other x-risk topics. See: climate and pandemic risk.
Proposition: EA community gathers law and tech people together to formulate and AIGC policy framework. Will require ~10 tech/law people which is quite feasible as an EA project.
Benefits:
1. Formulating AIGC policy will establish credibility and political capital to tackle alignment problems
2. AIGC is the most publicly understandable way to present AI risk to the public, allowing AIS to reach mainstream appeal
3. Playing into EA’s core competencies of overanalysing problems
4. Likely high first mover advantage, where if EA can set the tone for AI policy discourse, it will mitigate people believing misconceptions about AI as a new tech, which of course benefits AIS in the long run
Further Thoughts
Coming from a climate advocate background, I think this is the least low-probability way for EA to engage the public and policymakers on AIS. It seeks to answer “How to we get politicians to take EA’s AIS stances seriously”
I find that some AIS people I've talked to don't immediately see the value of this idea. However, my context is that having been a climate advocate, I learned of an incredibly long history of scientists' input being ignored simply because the public and policymakers did not prioritise the value of climate risk work.
It was ultimately engaging, predominantly youth, advocacy that mobilised institutional resources and demand to the level required. I highly suspect this will hold true for AI Safety, and I hope this time, the x-risk community doesn't make the same mistake of undervaluing external support. So this plan is meant to provide a value proposition for AI Safety that non-AIS people understand better.
So far, I haven't been able to make much progress on this idea. Problem being that I am neither in the law field nor technical AIS field (something I hope to work on next year), so if it happens, I essentially need to find someone else to spearhead it.
Anyway, I posted this idea publicly because I've procrastinating on developing it for ~1 week, so I figured it was better to send it out into the ether and see if anyone feels inspired, rather than just let it sit in my Drafts. Do reach out if you or anyone you know might be interested!