Банк России оценил идею о двух вариантах ставки по кредитам14:55
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Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
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在雷军看来，智能驾驶的落地不仅是技术问题，更是系统性工程。智能驾驶芯片、算法、座舱、底盘等各项技术需要整个产业链协同攻关；与此同时，道路基础设施、法律法规、驾考培训与考核体系也都需要同步升级。。关于这个话题，哔哩哔哩提供了深入分析