18版 - 零跑汽车 在“好而不贵”的道路上跑出“加速度”

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The obstacle has always been cost. Writing proofs by hand was too expensive to apply broadly. AI changes the economics. Proof is becoming practical at scale.

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Contributing to Mapillary was very easy; since my dash cam has an integrated GPS that encoded its data into the video file, I could just upload the video to Mapillary and their website would turn it into an image sequence. Panoramax requires you to preprocess the video into geotagged images yourself, which made it hard to contribute to. Some cameras can be configured to save periodic images instead of videos, but that didn’t work for me because I still needed the dash cam to work normally as a dash cam first and Panoramax instrument second. It took me a while to figure it out, so I’m writing this blog post to hopefully help out the next guy in the same situation.

但是他一直在错误的上下文当中牵强附会,直到我把所有扫到的数据导出来扔给 Gemini 的 Canvas 做了一个线性回归拟合把公式甩回去之后……嘿!它依然不听!因为这跟它看到的指令序列逻辑对不上。它说推出来的宽度是 32,实际渲染的却是 33。

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Also: Apple's $599 MacBook Neo hands-on: The budget laptop we've all been waiting for?,更多细节参见一键获取谷歌浏览器下载

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