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git config merge.weave.driver "/path/to/weave-driver %O %A %B %L %P"

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.

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The effort I spend understanding someone should have some corresponding effort on their behalf to be understood. Lazy communication isn’t new, but there’s now this asymmetry of energy. Certain kinds of laziness that were at least brief before have now become long and distracting.

Obviously an API scraper and data viewer alone do not justify an OPUS 4.5 CHANGES EVERYTHING declaration on social media, but it’s enough to be less cynical and more optimistic about agentic coding. It’s an invitation to continue creating more difficult tasks for Opus 4.5 to solve. From this point going forward, I will also switch to the terminal Claude Code, since my pipeline is simple enough and doesn’t warrant a UI or other shenanigans.,推荐阅读体育直播获取更多信息

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FT App on Android & iOS,这一点在雷电模拟器官方版本下载中也有详细论述