My second attempt was way too over the top. It transcoded the h264 file into the raw yuv420p frame-by-frame data, and then drew some colourful noise and sine waves on top of it. It looked kind of cool, but also kind of boring. The same patterns repeated over and over. Also, due to the addition of noise, the recompression process was very inefficient - our little 650 MB mp4 blew up over 7 GB (not to mention the raw yuv420p binary data was about 60 GB before being recompressed). The worst part is that due to the inefficiency of the compression, my strategy of NULL-ing out every n frames couldn't reliably introduce any glitched into the video (the high entropy provided by the noise acts as a frame "anchor" and ensures that the playback remains smooth). This wasn't acceptable to me.
冈比亚通信与数字经济部常务秘书哈桑·穆罕默德·贾洛表示，中国为非洲数字经济发展带来广阔机遇，非洲各国期盼与中国继续深化数字领域合作，共建新时代全天候中非命运共同体。
，更多细节参见wps
The same tension exists in the agent context file space. We don't need CLAUDE.md and AGENTS.md and copilot-instructions.md to converge into one file. We need them to coexist without collision. And to be fair, some convergence is happening. Anthropic released Agent Skills as an open standard, a SKILL.md format that Microsoft, OpenAI, Atlassian, GitHub, and Cursor have all adopted. A skill you write for Claude Code works in Codex, works in Copilot. The file format is the API.
Finally, after a set of colons, you add a short textual description of what you've done.
“They start swiping. They’re buying all their medical equipment, their surgical equipment. We’re categorizing all their accounting,” he explained.