The solution to today's Connections #999 is...
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.
。PDF资料对此有专业解读
故事设计：和 ChatGPT 疯狂聊天这一步说起来简单，就是把游戏的「内容」填进去。
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Одному из российских рынков предсказали рост до полутриллиона рублей15:00