It's questionable a mere algorithm would get us there without a fundamental change in computer architecture. (in terms of Intelligence / W)

Why do people think it's a good trade-off?

What's the worst that can happen if we allow unregulated AI training on existing music? Musician as a job won't exist anymore lest for the greatest artists. But it makes creating music much more accessible to billions of people. Are they good music? Let the market decide. And people still make music because the creative process is enjoyable.

The animus towards AI generated music deeply stems from job security. I work in software and I see it is more likely that AI can be eventually able to replace software devs. I may lose my job if that happens. But I don't care. Find another career. Humanity needs to progress instead of stagnating for the sake of a few interest groups.

In the LLM case you have to have an already capable model to do RL. Also I feel like the problem selection part is important to make sure it's not too hard. So there's still much labor involved.

Also how can the training of LLMs be parallelized when updating parameters are sequential? Sure we can train on several samples simultaneously, but the parameter updates are with respect to the first step.

On Linux, configuring the fingerprint to work everywhere requires reading through different online threads and edit a config file. Enabling TPM auto disk decryption involves 10 steps command line. Enabling proprietary video codecs necessitates adding a third party repository. And many other small issues that I have to troubleshoot (shutdown freezing, sddm crashing after wake-up from sleep, PackageKit unable to update package, having to turn on a kernel flag for touchpad to work...). I really want Linux to work for me but still have to decide to use Windows on my personal laptop, coming from someone who has to work with Linux everyday at work.