I started a new job recently, which has prompted me to reflect on my work over the past few years, and how I could have done better.
Concretely, I regret not joining SERI MATS, and helping it succeed, when it was first getting started.
I think this might have been a great fit for me: I had existing skills and experience that I think would have been helpful for them. The seasonal on-off schedule would have given me the flexibility to do and learn other things. It would have (I think) helped me get a better grounding in Machine Learning and technical alignment approaches.
And if I had joined with an eye towards agentically shaping the organization’s culture and priorities as it developed, I think I would have had a positive impact on the seed that has grown into the current alignment field . In particular, I think I might have had leverage to establish some cultural norms regarding how to think about the positive and negative impacts of one’s work.1
I regarded MATS as the obvious thing to do. The nascent alignment field was bottlenecked on mentorship—a small number of people (arguably) had good taste for the kinds of research that was on track, but had limited bandwidth for research mentorship, so conveying that research taste was (and is?) a bottleneck for the whole ecosystem. A program aiming to unblock everything else to expand the capacity for research mentorship as much as possible seemed like the obvious straightforward thing to do.
I said as much in my post from early 2023:
There is now explicit infrastructure to teach and mentor these new people though, and that seems great. It had seemed for a while that the bottleneck for people coming to do good safety research was mentorship from people that already have some amount of traction on the problem. Someone noticed this and set up a system to make it as easy as possible for experienced alignment researchers to mentor as many junior researchers as they want to, without needing to do a bunch of assessment of candidates or to deal with logistics. Given the state of the world, this seems like an obvious thing to do.
I don’t know that this will actually work (especially if most of the existing researchers are themselves doing work that dodges the core problem), but it is absolutely the thing to try for making more excellent alignment researchers doing real work. And it might turn out that this is just a scalable way to build a healthy field.
In retrospect, I should have written those paragraphs and generated the next thought “I should actively go try to get involved in SERI MATS and see if I can help them.”
So why didn’t I?
Misapplied notion of counterfactual impact
I didn’t do this because I was operating on the model/assumption that, while this was important, they were doing it now, and were probably not in danger of failing at it. It was taken care of and so I didn’t need to do it.
I now think that was probably a mistake. Because I didn’t get involved, I don’t know one way or the other, but it seems plausible to me that I could have contributed to making the overall project substantially better: more effective and with better positive externalities.
This isn’t because I’ve learned anything in particular about how SERI MATS missed the mark, but just getting more exposure to organizations and adjusting my prior that even if an organization is broadly working, and not in danger of collapse, it might be the case that I can personally make it much better with my efforts. In particular, I think it will sometimes be the case that there is room to substantially improve an organization in ways that don’t line up very neatly with the specific roles that they’re attempting to explicitly hire for, if you have strategic orientation and specific relevant experience.2
This realization is downstream with my interactions with Palisade over recent weeks. Also, Ronny made a comment a few years ago (paraphrased) that “you shouldn’t work for an organization unless you’re at least a little bit trying to reform it”. That stuck with me, and changed my concept of “working for an org”.
Possibly this difference in frame is also partially downstream of thinking a bit about shapley values through reading Planecrash and thinking about donation-matching for SFC. (I previously aimed to do things that, if I didn’t do them, wouldn’t happen. Now, I’ve continuous-ized that notion, and aim for, approximately, high shapley value).
Underestimating the value of “having a job”
Also, regarding SERI potentially being a good fit for me in particular, I think I have historically underestimated the value of having a job for structuring one’s life and supporting personal learning. I currently wish that I had more technical background in ML and alignment/control work, and I think I might have gotten more of that if I had been actively trying to develop in that direction while supporting MATS in a non-technical capacity, instead of trying to develop that background (inconsistently) independently.
Strategic misgivings
I didn’t invest heavily in any project over recent years because there wasn’t much that I straightforwardly believed in. As noted above, the idea-of-MATS was a possible exception to this—it seemed like the obvious thing to do given the constraints of the world. And I now think I should take “this seems like the obvious thing to do” as a much stronger indicator that I should get involved with a project, somehow, and figure out how to help, than I previously did.
But part of what held me back from doing that was misgivings about the degree to which MATS was acting as a feeder pool for the scaling labs. MATS is another project that doesn’t seem obviously robustly good to me (or “net-positive”, though I kind of think that’s the wrong frame). As with many projects, I felt reticent to put my full force behind it for that reason.
In retrospect, I think maybe I should have shown up and tried to solve the problem of “it seems like we’re doing plausible real harm, and that seems unethical” from the inside. I could have repeatedly and vocally drawn attention to it, raised it as a consideration in strategic and tactical planning, etc. Either I would have shaped the culture around this problem for the MATS staff sufficiently that I trusted the overall organism to optimize safely, or we would have bounced off of each other unproductively. And in that second case, we could part ways, and I could move on.
In general, it feels like a more obvious affordance to me, now, if I think something is promising, but I don’t trust it to have positive impacts, I just try non-disruptively making it better according to the standards that I think are important, and if that doesn’t work or doesn’t go well, parting ways with the org.
This all begs the question, “should I still try to work for SERI MATS and make it much better?”
My guess is that the opportunity is smaller now than it was a few years ago, because both the culture and processes of the org have more found an equilibrium that works. There’s less leverage to make an org much better when the org is figuring out how to do the thing it’s trying to do, compared to when it has reached product-market-fit, and is mostly finding ways to reproduce that product consistently and reliably.
That said, one common class of error is overestimating the degree to which an opportunity has passed. e.g. not buying Bitcoin in 2017, because you believe that you’ve already missed the big opportunity—it’s true in some sense, but you’re underestimating how much of the opportunity still remains.
So, if I were still unattached, writing this essay would prompt me to reach out to Ryan, and say directly that I’m interested in exploring working for MATS, and try to get more contact with the territory, so that I can see for myself. As it is, I have a job which seems like it needs me more, and which I anticipate absorbing my attention for at least the next year.