Last year, I covered why it's a great time to jump ship from Windows to Mac, and I haven't been able to let go of that idea since. Apple's M-series chips are shockingly fast and efficient, and its hardware tends to be more durable than typical PC fare. Rumors point to Apple developing a new aluminum case for the low-cost MacBook, so it will likely feel more polished than a typical sub-$1,000 Windows laptop. macOS has also avoided the bloat that's plagued Windows for years — you can turn off Apple Intelligence with two clicks if you want to, and there aren't any annoying ads to deal with.
Docker applies a default seccomp profile that blocks around 40 to 50 syscalls. This meaningfully reduces the attack surface. But the key limitation is that seccomp is a filter on the same kernel. The syscalls you allow still enter the host kernel’s code paths. If there is a vulnerability in the write implementation, or in the network stack, or in any allowed syscall path, seccomp does not help.
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I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5:
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创作者或许可以直接在3D空间中布置虚拟摄像机，规划其运动轨迹，而AI则负责实时渲染出该视角下的视频流。Seedance 2.0的“导演模式”可以看作是这一方向的早期雏形。
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