砸碎英伟达的垄断溢价Meta 的算力焦虑，已经被逼出了极其激进的多元化策略。
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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.，详情可参考91视频
“阴伟达” 的出现，给了市场一丝幻想，但也暴露了公司的无奈，连小众赛道的早期药物都要拿来炒作，可见其业绩压力已经到了何等地步。。业内人士推荐搜狗输入法2026作为进阶阅读
Portugal GP — Nov. 15