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Comment Re: He's right about one thing (Score 0) 126

Honey, no one cares about academia any more. It's been studied by people who replaced them after far left subverted the academia. The corpos. And you can see the results not because they publish what they find, but because they act to generate results they want in reality based on things they found by studying each subject.

Refer to Spotify's current recommendations algorithm for details. Log in as a young person and observe as your recommendations rapidly take you down the AI music route.

Because that's what gets best retention and best payout.

Comment Re: Reality check (Score 0) 126

Again, if you think the artists don't use AI, it's because they didn't tell you.

A good example here is "I'm stuck, what rimes with x" that is a stereotypical writer block for song writers. Do you know what easily solves that problem?

LLM trained for it. I.e. Suno.ai.

Song writers writing a specific tune that just doesn't sound right that want to iterate on several close variants to determine what would sound better. Do you know what does this quickly? Suno.ai.

Again, the artists probably could, as we say it here, "climb up the tree ass first" and do this themselves. It will take them thousands to tens of thousands of times longer to solve the problem at hand than AI would solve it. But they could do it by hand.

But successful people are always starved for time. So they take every tool that will let them have a significant amount of extra time. AI is currently by far the most important tool in this category.

Comment Re: He's right about one thing (Score 0) 126

Another fun part: this has been studied. You're wrong on both accounts. People don't actually care (and often prefer) AI music, as long as they're not told it's AI music. I.e. telling them generates a nocebo effect.

And young generations are very much positive on AI music. They form a decent bulk of people who ask the likes of suno.ai make it for them. It's just that most of this music is something like "take this song that sounds cool, and make it more like this, because I like it more if it was like this". Sing with girlfriend's/boyfriends/crush's voice, etc.

Comment Reality check (Score 1) 126

At this point, there are two kinds of successful artists.

Those that tell you that they use AI to assist with their craft, and those that lie about it.

Because the amount of extra work that needs to be done to without AI is ridiculous at this point. Add to this the part where AI provides several unique services that humans cannot deliver in time frames that aren't thousands to tens of thousands of times longer, allowing for rapid iteration on concepts that would be impossible otherwise, and today you no longer can be successful without it.

The only difference today is how much of it is used, for what parts, and what specific model.

Comment Re:Putin's "Project Panama" (Score 2) 64

They don't need to be.

The thousand-men armies scanning books get the books by buying them by the pallet load. It's stuff that nobody really wants, like old technical books that are out of date, self-published books, etc.

If the book was actually valuable you wouldn't expect the seller to sell it for dirt cheap.

Comment Re:Standing on the shoulders of giants (Score -1) 115

I think the best term for AI luddites such as yourself is "AI Vegans".

Like vegans, you know a tiny sliver of reality, and make it your whole world. Like vegans, we don't need to know you're like this, because you'll tell us. Like vegans, you're wrong on almost everything. Like vegans, you believe your faith makes you a higher form of being, and those who disagree just "are lesser" i.e. "do not understand math".

Like vegans, you'll mostly go away in a decade or two.

Comment Re: Standing on the shoulders of giants (Score -1) 115

It's actually the opposite. It was stagnant between 1960s and early 2000s. Where we thought we'd need to program it, because we were modelling it on ourselves even back then, and back then we thought brain was biologically fully pre-programmed.

Then fMRI brain imaging came, we understood how brain functions, that's it's not pre-programmed but learning from basic LLM-like template and then inferring based on what it learned (remember the "90% of the brain is not used" pre-fMRI myth?), and within a decade, basics of modern AI being "learn and infer" principle became mainstream.

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