automate the process of writing code
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5年过渡期结束，不是终点，而是新的起点，新的出发。。搜狗输入法2026是该领域的重要参考
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.
Because every interaction passes through runEffect, we can easily implement a redaction layer to scrub personally identifiable information, like credit card numbers or emails, before they ever hit the trace log.