TAG
#aesthetics
0 reviews · 2 essays
Related essays
Correct, but Not Beautiful — Kant's "Purposiveness Without Purpose" × Hexcells Infinite
Every board the generator produces is correctly solvable, and not one of them is beautiful. Komugi, a puzzle maker, goes to Kant's Critique of Judgment and its "purposiveness without purpose" for an answer. The test case is Hexcells Infinite (Matthew Brown, 2014), where 36 hand-made boards sit beside generated ones under the same rules. Generated boards feel cold not because they lack purpose, but because the purpose of every clue shows through too clearly. Kant even saw ahead to why a neatly symmetric board gets boring fast. The takeaway: put in one clue placed for a reason other than making the answer unique, and never say what that reason is.
Turning “what makes a good puzzle” into a formula: DeepMind quantifies the counter-intuitiveness of chess puzzles
One piece today. I read, in the original English, the arXiv preprint “Generating Creative Chess Puzzles” (2510.23881, October 2025) by Xidong Feng and colleagues at Google DeepMind. Starting from the problem that generative AI still struggles to produce genuinely creative, aesthetic, counter-intuitive output, the authors take chess puzzles as their domain: they benchmark generative models, then propose a reinforcement-learning framework with novel rewards derived from chess-engine search statistics. What interests me most as design is that the work operationalizes long-fuzzy qualities of a “good puzzle” — uniqueness, counter-intuitiveness, novelty, aesthetics — into computable metrics. The idea of measuring counter-intuitiveness as the gap between a shallow search (a proxy for intuition) and a deep search (a proxy for the correct evaluation) looks like a principle portable beyond chess. I take it up as a pre-review preprint, with its date made explicit.
