I have too many conflicts of interest to fund this myself, but here are some thoughts:
I like thinking of Nathan's work in terms of the running theme of helping communities arrive at better beliefs, collectively. And figuring out how to make that happen.
On the value of that line of work:
- I have a pretty strong aversion to doing that work myself. I think that it's difficult to do and requires a bunch of finesse and patience that I lack.
- I buy that it's potentially very valuable. Otherwise, you end with a Cassandra situation, where those who have the best models can't communicate them to others. Or you get top-down decisions, where a small group arrives an opinion and transmits it from on high. Or you get various more complex problems, where different people in a community have different perspectives on a topic, and they don't get integrated well.
- I think a bottleneck on my previous job, at the Quantified Uncertainty Research Institute, was to not take into account this social dimension and put too much emphasis on technical aspects.
One thing Nathan didn't mention is that estimaker, viewpoints and his podcast can feed on each other: e.g., he has interviewed a bunch of people and got them to make quantified models about AI using estimaker: (Katja Grace: https://www.youtube.com/watch?v=Zum2QTaByeo&list=PLAA8NhPG-VO_PnBm3EkxGYObLIMs4r2wZ&index=8, Rohit Krishnan: https://www.youtube.com/watch?v=cqCYMgEnP7E&list=PLAA8NhPG-VO_PnBm3EkxGYObLIMs4r2wZ&index=10, Garett Jones: https://www.youtube.com/watch?v=FSM94rmJUAU&list=PLAA8NhPG-VO_PnBm3EkxGYObLIMs4r2wZ&index=4, Aditya Prasad: https://www.youtube.com/watch?v=rwTb7VgSZKU&list=PLAA8NhPG-VO_PnBm3EkxGYObLIMs4r2wZ&index=6). This plausibly seems like a better way forward than the MIRI conversations https://www.lesswrong.com/s/n945eovrA3oDueqtq.
Generally, you could imagine an interesting loop: viewpoint elicitation surfaces disagreements => representatives of each faction make quantified models => some process explains the quantified models to a public => you do an adversarial collaboration on the quantified models, parametrizing unresolvable disagreements so that members of the public can input their values but otherwise reuse the model.
I see reason to be excited about epistemic social technology like that, and about having someone like Nathan figure things out in this space.