I had settled on two maximally orthogonal cognitive tasks, both with tiny outputs. My intuition was this: LLMs think one token at a time, so lets make the model really good at guessing just the next token. But things are never straightforward. Take LLM numbers…
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具体而言,供应链公司在上述期间的铬铁贸易中存在未实际参与物流环节、购销合同关键条款相互对应以及交易对手存在关联关系等情况。基于审慎原则,公司将该部分业务改为按净额法确认收入,由此产生的重大前期差错更正导致2022-2023年度合并报表营收调减75,948.02万元,营业成本调减52,414.87万元。
They write papers that are technically correct but that no one reads,
常识判断同样值得思考:比特币发明者若知悉暴露身份将使其成为全球罪犯与税务机构的目标,会反复接受记者访谈讨论此事吗?抑或应该尽力隐匿于阴影之中?