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I love the idea of tea ceremony before a lesson. I'd hate for that culture to be lost entirely. Ironically, the AI-Explainability problem is, at least for now,
by iandanforth 6y ago
I love the idea of tea ceremony before a lesson. I'd hate for that culture to be lost entirely.
Ironically, the AI-Explainability problem is, at least for now, an asset. The model can't explain its strategy, only that it judges some positions stronger than others based on a huge amount of experience.
That reduction of aggregate experience to comprehensible language is still (mostly) in the realm of humans and so should provide a bridge for talented, insightful teachers to teach the next generation.
- YetAnotherNick 6y agoTop chess engines are atleast 700-800 points above top human. Engines have been absolutely unbeatable for humans for 10 years. Still I don't see the culture lost. In fact, it is easier for anyone to see mistakes after every match in less than a minute and you don't need a coach to point it for you.
- bonzini 6y agoSeeing mistakes after the fact is one thing. Developing the thought process you need to see the mistakes during the game is a whole different thing, and that's where a coach helps. Also a computer won't tell you its plan and why it chose it.
- BurningFrog 6y agoThe computer makes the tactical blunders very clear. For strategic/positional issues, it is not nearly as good a teacher.
- prerok 6y agoI like this train of thought. It's actually the same as Douglas Adams'. Now we know the answer is 42 and now we need to solve what the question really was :) I think it's ironic how he foresaw the problem we are experiencing with AI right now.
- Buttons840 6y agoI wonder how often human players invent explanations for what is really just a gut instinct?
- faceplanted 6y agoI wonder if there's actually any kind of line between "inventing explanations" and actually theorising and studying the game's mechanics. Obviously it's mostly pattern recognition, but that pattern recognition is partitioning parts of the board into classifications of what those sections are doing and whether to prioritise them or let it go in favour of something else, the immediate decisions within those sections are fairly logical. The more complex broader pattern recognition is how those sections will interact as they approach each other, which if there is that much inventing explanations where I imagine it comes in.