AI for improving human reasoning seems promising; I'm uncertain whether it makes sense to invest in new custom applications, as maybe improvements in models are going to do a lot of the work.
I'm more bullish on investing in exploration of promising workflows and design patterns. As an example, a series of youtube videos and writeups on using O3 as a forecasting aid for grantmaking, with demonstrations. Or a set of examples of using LLMs to aid in productive meetings, with a breakdown of the tech used and social norms that the participants agreed to.
- I think these are much cheaper to do in terms for time and money.
- A lot of epistemics seems to be HCI bottlenecked.
- Good design patterns are easily copyable, which also means they're probably underinvested in relative to their returns.
- Social diffusion of good epistemic practices will not necessarily hapepn as fast as AI improvements.
- Improving the AIs themselves to be more truth seeking and provide good advice - with good benchmarks - is another avenue.
I imagine a fellowship for prompt engineers and designers, prize competitions, or perhaps retroactive funding for people who have already developed good patterns.
Good points! I agree that actual prototyping is necessary to see if an idea works, and as a demo it can be far more convincing. Especially w/ the decreased cost of building web apps, leveraging them for fast demos of techniques seems valuable.