"tengu_brass_pebble": false,
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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For example, a 500km route might be broken down into ~100 such shortcuts. If each A* shortcut calculation explores 100-1000 detailed road segments, the total detailed segments visited by A* might be around 10,000-50,000. Compare this to the 1,000,000+ segments the old A* might have needed for the entire route!
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「我認為這提醒我們，要把握每一個機會告訴大家冷靜下來，拜託，我們不能把一切視為理所當然。」
A complex spec creates complex edge cases. The Web Platform Tests for streams span over 70 test files, and while comprehensive testing is a good thing, what's telling is what needs to be tested.，详情可参考一键获取谷歌浏览器下载