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Do game agent projects need to advance the boundaries of GAI theory? It’s an exercise in applying known theory/processes to a complicated problem space to achieve super-human performance. To say there’s “nothing to learn” from that (process or outcome) is a bit hyperbolic
One could easily turn such a game AI project into an experiment that you could learn from, if one were to care less about PR impact. See my prior comments about measuring generalization power rather than skill.
I understand from a purist perspective, but is it wrong for them to double dip on a project that boosts PR when funding is a finite resource? Cancer research suffers from a similar problem where the deadliest strains are “less popular to fund” and don’t drum up PR.
However, funding for AI is not a zero sum game, and work like this can serve to increase the total pool rather than be thought of as “taking up funding that could’ve been better utilized”
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