In a Tuesday order granting OpenAI's motion to dismiss, US District Judge Rita F. Lin said that xAI failed to provide evidence of any misconduct from OpenAI.
With these elements, DTF St. Louis looks anything but normal from across the street. But in a disappointing reversal of the show's oft-repeated mantra, the closer you get, the more frustratingly conventional it becomes.
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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.