Testing LLM reasoning abilities with SAT is not an original idea; there is a recent research that did a thorough testing with models such as GPT-4o and found that for hard enough problems, every model degrades to random guessing. But I couldn't find any research that used newer models like I used. It would be nice to see a more thorough testing done again with newer models.
This is fundamentally different from Web streams' pipeThrough(), which starts actively pumping data from the source to the transform as soon as you set up the pipe. Pull semantics mean you control when processing happens, and stopping iteration stops processing.
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