It'll cut down on pocket dials and makes a better song too.

In all seriousness, NYC is working hard to curb subway stabbing calls after the Zarutska incident.
Ignoring the problem is easier if nobody can report an incident.

I meant this sincerely, with conviction. The FOSS world knew of Gates' bankrupt ethics and phony philanthropy for decades, and now we know about his reserved seat on the Lolita Express. Gates' dreams of an AI surveillance state "guided by" him and his Epstein juice-drinking pals could use a good derailing via exposure of the whole kid-fucking mess.

Instead of spouting off about AI, Gates and his Epstein Island buddies should take a taxpayer-funded 30 year vacation to Alcatraz together.

Billy's opinion on AI is as relevant as his opinions on Covid mask mandates.

Americans might be wondering what this is all about. Literally nobody outside Quebec wants French on all our products or on Netflix. Demand for French outside of Quebec is manufactured entirely by Ottawa's self-serving decrees.

French matters exclusively in Quebec and limited regions of Ontario bordering Quebec; everybody else despises Ottawa's insistence on pushing French down our throats. Unfortunately the French vote is vital to forming a majority government so they an outsized influence in our politics, amplified by their occasional referenda on separation.

IOW this performative cultural component to the streaming silliness pushed by Carney is all about currying favour with French voters. The rest of us resent Carney's divisive and destructive charade that's destroying our economy and jobs and pushing Alberta to the brink of separation.

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.

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.

Fun part: you can tell properly trained AI to give generated piece "a sense of the personality and mood of the specific performer". Today, 4/5 times it will be successful in doing so, provided it had enough of performer's works to learn from.

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.

What's your definition of successful, and would you like to place a high-stakes wager on that outcome?

Most vaccines don't make money? OK Bourla. That's the most comically ignorant thing I've read today.They're the sacred cash cow. Manufacturers are literally shielded from any consequences, the intended demographic is literally everyone, and the profit margins are scandalous.

Vaccines are the definition of "treating something forever and ever", as you said.

Have you ever been near a real doctor or hospital?

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.

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.

And then they look at alternatives, and conclude "yes, this is in fact by far the best system we've ever had for this purpose".

"It's not perfect" is utopian thinking. What matters is "is this the best system we had so far".

Curious opinion considering that legal profession is mostly applied about logic. You learn the rules, and they you use logic to apply them to each situation.

Of course we do. We literally modeled current gen AI on it.

In fact, we even know that LLMs overwhelmingly struggle learning where humans struggle as well. Because it's the same process.

The only difference is that we are embodied and spend decades learning, while they have far more compute and memory and are able to learn in days. Each grants us slightly different advantages and disadvantages within the learning process.

Which is fundamentally the same process.