Account for AI in the environmental footprint of scientific publishing

· · 来源:learn资讯

The primary signal is desiredSize on the controller. It can be positive (wants data), zero (at capacity), negative (over capacity), or null (closed). Producers are supposed to check this value and stop enqueueing when it's not positive. But there's nothing enforcing this: controller.enqueue() always succeeds, even when desiredSize is deeply negative.

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.

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(一)扰乱机关、团体、企业、事业单位秩序,致使工作、生产、营业、医疗、教学、科研不能正常进行,尚未造成严重损失的;

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// No BYOB request - allocate and enqueue a chunk