Honestly, sounds like the side-AI project could be the exact point of a "blue sky" project but that open ended "maybe this won't result in a explicit result in

Honestly, sounds like the side-AI project could be the exact point of a "blue sky" project but that open ended "maybe this won't result in a explicit result in this decade" ain't for everyone. Neither good nor bad. The ability to produce AI tuned opportunistic spectrum allocation could have far reaching implications in fields outside of spectrum analysis. Many of the biggest problems faced by modern organizations is dealing with beaurocracy while efficiently allocation resources. Maybe this never lead to anything, but then again who knows if this could lead to a whole future field of efficiently scaling large organizations ... Take a look at the outputs of undirected DARPA funding and the results still bearing fruits decades later: computer animation by people like Ed Catmull (culminating in Pixar), Alan Key and object oriented programming, tcp/ip, etc. The bigger question of whether this side project could yield fruit has more to do with the type of team environment of the project and whether the pursuit came from a genuine "I wonder if...". E.g. One of the best predictors of the useful of such blue sky discovery is whether there's a large element of "this seems fun/intruiging!" as appeared to the driving motivation of Ed Catmull when he invented texture mapping. And thanks for the links! I'm actually _very_ interested in reading these papers. There's been a lot of intruiging work and research on type-valued types (c.f. Iris programming language). But there's a difficulty of describing and translating rulesets from various vague human logic into effective computer passable rulesets.