Why I funded PIBBSS
I just left a comment on PIBBSS’ Manifund grant request (which I funded $25k) that people might find interesting. PIBBSS needs more funding!
Main points in favor of this grant
My inside view is that PIBBSS mainly supports “blue sky” or “basic” research, some of which has a low chance of paying off, but might be critical in “worst case” alignment scenarios (e.g., where “alignment MVPs” don’t work, “sharp left turns” and “intelligence explosions” are more likely than I expect, or where we have more time before AGI than I expect). In contrast, of the technical research MATS supports, about half is basic research (e.g., interpretability, evals, agent foundations) and half is applied research (e.g., oversight + control, value alignment). I think the MATS portfolio is a better holistic strategy for furthering AI safety and reducing AI catastrophic risk. However, if one takes into account the research conducted at AI labs and supported by MATS, PIBBSS’ strategy makes a lot of sense: they are supporting a wide portfolio of blue sky research that is particularly neglected by existing institutions and might be very impactful in a range of possible “worst-case” AGI scenarios. I think this is a valid strategy in the current ecosystem/market and I support PIBBSS!
In MATS’ recent post, “Talent Needs of Technical AI Safety Teams”, we detail an AI safety talent archetype we name “Connector”. Connectors bridge exploratory theory and empirical science, and sometimes instantiate new research paradigms. As we discussed in the post, finding and developing Connectors is hard, often their development time is on the order of years, and there is little demand on the AI safety job market for this role. However, Connectors can have an outsized impact on shaping the AI safety field and the few that make it are “household names” in AI safety and usually build organizations, teams, or grant infrastructure around them. I think that MATS is far from the ideal training ground for Connectors (although some do pass through!) as our program is only 10 weeks long (with an optional 4 month extension) rather than the ideal 12-24 months, we select scholars to fit established mentors’ preferences rather than on the basis of their original research ideas, and our curriculum and milestones generally focus on building object-level scientific/engineering skills rather than research ideation, interdisciplinary knowledge transfer, and “identifying gaps”. It’s thus no surprise that most MATS scholars are “Iterator” archetypes. I think there is substantial value in a program like PIBBSS existing, to support the long-term development of “Connectors” and pursue impact in a higher-variance way than MATS.
PIBBSS seems to have a decent track record for recruiting experienced academics in non-CS fields and helping them repurpose their advanced research skills to develop novel approaches to AI safety. Highlights for me include Adam Shai’s “computational mechanics” approach to interpretability and model cognition, Martín Soto’s “logical updatelessness” approach to decision theory, and Gabriel Weil’s “tort law” approach to making AI labs liable for their potential harms on the long-term future.
I don’t know Lucas Teixeira (Research Director) very well, but I know and respect Dušan D. Nešić (Operations Director) a lot. I also highly endorsed the former Research Director Nora Ammann’s vision (albeit while endorsing a different vision for MATS). I see PIBBSS as a competent and EA-aligned organization, and I would be excited to see them grow!
I think PIBBSS would benefit from funding from diverse sources, as mainstream technical AI safety funders have pivoted more towards applied research (or more governance-relevant basic research like evals). I think Manifund regrantors are well-positioned to endorse more speculative basic research, but I don’t really know how to evaluate such research myself, so I’d rather defer to experts. PIBBSS seems well-positioned to provide this expertise! I know that Nora had quite deep models of this while Research Director and in talking with Dusan, I have had a similar impression. I hope to talk with Lucas soon!
Donor’s main reservations
It seems that PIBBSS might be pivoting away from higher variance blue sky research to focus on more mainstream AI interpretability. While this might create more opportunities for funding, I think this would be a mistake. The AI safety ecosystem needs a home for “weird ideas” and PIBBSS seems the most reputable, competent, EA-aligned place for this! I encourage PIBBSS to “embrace the weird,” albeit while maintaining high academic standards for basic research, modelled off the best basic science institutions.
I haven’t examined PIBBSS’ applicant selection process and I’m not entirely confident it is the best version it can be, given how hard MATS has found mentor and applicant selection and my intuitions around the difficulty of choosing a blue sky research portfolio. I strongly encourage PIBBSS to publicly post and seek feedback on their applicant selection and research prioritization processes, so that the AI safety ecosystem can offer useful insight (and benefit from this). I would also be open to discussing these more with PIBBSS, though I expect this would be less useful.
My donation is not very counterfactual here, given PIBBSS’ large budget and track record. However, there has been a trend in typical large AI safety funders away from agent foundations and interpretability, so I think my grant is still meaningful.
Process for deciding amount
I decided to donate the project’s minimum funding ($25k) so that other donors would have time to consider the project’s merits and potentially contribute. Given the large budget and track record of PIBBSS, I think my funds are less counterfactual here than for smaller, more speculative projects, so I only donated the minimum. I might donate significantly more to PIBBSS later if I can’t find better grants, or if PIBBSS is unsuccessful in fundraising.
Conflicts of interest
I don’t believe there are any conflicts of interest to declare.
I’d like to add that I’ve dealt with Dušan on a few occasions and always come away thinking he is very competent.
Executive summary: The author funded PIBBSS $25,000 to support their “blue sky” AI safety research, which complements other approaches and may be critical in worst-case scenarios, despite some reservations about their potential pivot towards mainstream interpretability.
Key points:
PIBBSS focuses on neglected basic research that could be impactful in worst-case AGI scenarios.
PIBBSS provides a valuable training ground for “Connector” talent archetypes in AI safety.
The organization has a track record of recruiting experienced non-CS academics to develop novel AI safety approaches.
The author encourages PIBBSS to maintain its focus on “weird ideas” while upholding high academic standards.
Concerns exist about PIBBSS’ applicant selection process and potential pivot towards mainstream interpretability.
The author recommends PIBBSS seek public feedback on their selection and prioritization processes.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.