Raw LLM Responses

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G Bhagwan ne hummay duniya mein laayee..ek din yeh robot haamee duniyaa se uthaad… ytc_UgxKd9D5r… G I am driving a Li Auto vehicle equipped with LiDAR and AI, which provides better… ytc_UgyaZqbuu… G Surprised it's Boston, kid seems like he's learning capitalism not Boston's reli… ytc_UgzXNFnnk… G Has there ever been an instance of dumb people intentionally controlling intelli… ytc_UgyPsWZqy… G Tesla's excuses are BS and they know it, the technology to limit access to self-… ytc_UgwYfFMHV… G Well, I think the way it's going to work might be simple, but also very weird. I… ytc_UgzGLRgVn… G @cyborgchimpy yea maybe I wonder if the code in will be different. But a.I to sp… ytr_UgzOZajmD… G ​@anythingbut...ohh ohhhhh, that's a damn good point. If you're someone who gets… ytr_Ugzt4ODNq…
Comment
The reason music AI being handled differently is quite simple (I am a musician/songwriter). There are only 12 notes in western music! This means that there is a finite number of melodies that can be created. Many of them have already been copyrighted and new songs are created every day. The odds of any songwriter (including AI) coming up with a new "original" melody is quite slim at this point considering the limitations of 12 notes. It is not just those 12 notes, but having them sound "good" usually requires some structure. These structures are usually referred to in music as "keys" or "modes", reducing the 12 notes down to 7 (8 with the octave) that work together well. This reduces the melody note choices even further. I believe this is why the music AI advancement is much slower. Music AI will get there in the coming years. Songwriters who make a living today making "beats", selling stock commercial licences, amd creating scores for small budget projects will be out of a job. It will happen, no doubt in my mind.
youtube 2023-02-06T23:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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