Белый дом назвал причину решения Трампа ударить по Ирану02:40
Крупнейшая нефтяная компания мира задумалась об альтернативе для морских перевозок нефти14:56，推荐阅读旺商聊官方下载获取更多信息
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%% what's the max queue depth before we start dropping? need backpressure math，更多细节参见体育直播
Last week we released NanoGPT Slowrun , an open repo for data-efficient learning algorithms. The rules are simple: train on 100M tokens from FineWeb, use as much compute as you want, lowest validation loss wins. Improvements are submitted as PRs to the repo and merged if they lower val loss. The constraint is the inverse of speedruns like modded-nanogpt , which optimize wall-clock time. Those benchmarks have been hugely productive, but optimizing for speed filters out expensive ideas: heavy regularization, second-order optimizers, gradient descent alternatives. Slowrun is built for exactly those ideas.