细看OpenAI的硬件布局,抢入口的野心暴露无遗,其设备远非“能对话的音箱”那么简单,根据信息,它计划集成微型摄像头、肌电传感器与xMEMS超声波单元。
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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