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Team B (which has never seen the original code) writes new code based solely on that specification. By using an AI that was prompted with the original LGPL code, the maintainers bypassed this wall. If the AI “learned” from the LGPL code to produce the new version, the resulting output is arguably a derivative work, which under the LGPL, must remain LGPL.
Camera Coach, like the name suggests, uses AI to analyze the scene you're about to capture, and offers tips on how to best compose and light the shot. It will also suggest the best camera mode for the job. While I can see how this tool could be useful, I found the fact it relies on a cloud model made it too slow for some situations. For example, when I used Camera Coach to help me snap a photo of my cat, a sassy tortoiseshell, she walked away by the time the 10a got a response from Google's servers. In more static scenes, Camera Coach is more useful, but much of photography is about capturing a fleeting moment in time, so its utility is limited.
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Fixed-point arithmetic (scale 1024) keeps everything in 32-bit integers, matching the