Eh, not really then. If you have some behavior in those 50 copy/pastes that needs to be deleted, you’ve got to delete it 50 times. That’s not easier at all.

Because even if it winds up being a bad study, it still evokes a deeper, more important “truth.”

I’m being sarcastic but that’s actually what’s going on here.

This is not the same thing at all. Trump instituted a zero tolerance policy, separating any family caught crossing illegally with the stated intent to dissuade families from making the trip.

Normally (including under Biden) the government separates children from suspected human traffickers or members of gangs that engage in trafficking. This is not to deter families. It’s to protect children - sending a child back to Mexico with a human trafficker is an abhorrent thing to do.

Stop carrying water for Trump.

No mention of Gemini in their blog post on sge And their AI principles doc says

We acknowledge that large language models (LLMs) like those that power generative AI in Search have the potential to generate responses that seem to reflect opinions or emotions, since they have been trained on language that people use to reflect the human experience. We intentionally trained the models that power SGE to refrain from reflecting a persona. It is not designed to respond in the first person, for example, and we fine-tuned the model to provide objective, neutral responses that are corroborated with web results.

So a custom model.

When you use (read, view, listen to…) copyrighted material you’re subject to the licensing rules, no matter if it’s free (as in beer) or not.

You’ve got that backwards. Copyright protects the owner’s right to distribution. Reading, viewing, listening to a work is never copyright infringement. Which is to say that making it publicly available is the owner exercising their rights.

This means that quoting more than what’s considered fair use is a violation of the license, for instance. In practice a human would not be able to quote exactly a 1000 words document just on the first read but “AI” can, thus infringing one of the licensing clauses.

Only on very specific circumstances, with some particular coaxing, can you get an AI to do this with certain works that are widely quoted throughout its training data. There may be some very small scale copyright violations that occur here but it’s largely a technical hurdle that will be overcome before long (i.e. wholesale regurgitation isn’t an actual goal of AI technology).

Some licensing on copyrighted material is also explicitly forbidding to use the full content by automated systems (once they were web crawlers for search engines)

Again, copyright doesn’t govern how you’re allowed to view a work. robots.txt is not a legally enforceable license. At best, the website owner may be able to restrict access via computer access abuse laws, but not copyright. And it would be completely irrelevant to the question of whether or not AI can train on non-internet data sets like books, movies, etc.

It wasn’t Gemini, but the AI generated suggestions added to the top of Google search. But that AI was specifically trained to regurgitate and reference direct from websites, in an effort to minimize the amount of hallucinated answers.

Point is that accessing a website with an adblocker has never been considered a copyright violation.

a much stronger one would be to simply note all of the works with a Creative Commons “No Derivatives” license in the training data, since it is hard to argue that the model checkpoint isn’t derived from the training data.

Not really. First of all, creative commons strictly loosens the copyright restrictions on a work. The strongest license is actually no explicit license i.e. “All Rights Reserved.” No derivatives is already included under full, default, copyright.

Second, derivative has a pretty strict legal definition. It’s not enough to say that the derived work was created using a protected work, or even that the derived work couldn’t exist without the protected work. Some examples: create a word cloud of your favorite book, analyze the tone of news article to help you trade stocks, produce an image containing the most prominent color in every frame of a movie, or create a search index of the words found on all websites on the internet. All of that is absolutely allowed under even the strictest of copyright protections.

Statistical analysis of copyrighted materials, as in training AI, easily clears that same bar.

We’re not just doing this for the money.

We’re doing it for a shitload of money!

They do, though. They purchase data sets from people with licenses, use open source data sets, and/or scrape publicly available data themselves. Worst case they could download pirated data sets, but that’s copyright infringement committed by the entity distributing the data without the legal authority.

Beyond that, copyright doesn’t protect the work from being used to create something else, as long as you’re not distributing significant portions of it. Movie and book reviewers won that legal battle long ago.

The examples they provided were for very widely distributed stories (i.e. present in the data set many times over). The prompts they used were not provided. How many times they had to prompt was not provided. Their results are very difficult to reproduce, if not impossible, especially on newer models.

I mean, sure, it happens. But it’s not a generalizable problem. You’re not going to get it to regurgitate your Lemmy comment, even if they’ve trained on it. You can’t just go and ask it to write Harry Potter and the goblet of fire for you. It’s not the intended purpose of this technology. I expect it’ll largely be a solved problem in 5-10 years, if not sooner.

Soooo… Interstellar was wrong with all the shaking of the camera?

All for the cinematography :) I will say that there’s a small caveat in really extreme situations like close to a black hole. Spacetime gets so warped there that your head and your feet take very divergent paths through spacetime, enough to stretch you out and even break you apart at the atomic level. You’d definitely notice that…

In case of accelerating ship, I wonder what would happen in local frame once you hit/get really close to c. You’d get decelerated out of nowhere? Just as if you hit something?

Oh boy, special relativity is another fun one. So here’s the thing: there’s no “universal speed” that you’re moving so you’re never any closer to c no longer how long you accelerate for. To accelerate is to change your reference frame and there are no special reference frames.

Which is to say that any physical test you could run inside your ship will give you the same result, always. Accelerate for 13 billion years at any rate and check the the how fast light moves within your ship, the answer is always c.

This is where the name relativity comes in. You have to think in terms of relative speed. Your speed relative to earth will indeed advance closer and closer to c but never reach it. There’s a bunch of really wild and crazy implications behind this.

Like that acceleration doesn’t change the relative speeds of things uniformly. Keep accelerating at 1 meter per second per second and every second Earth’s relative speed changes by less than 1m/s. And look up relativity of simultaneity, another consequence of special relativity. It’s fascinating stuff.

One mind-altering fact that I love is that there’s no “acceleration due to gravity,” once you’re in free fall, until you hit the ground. Hop in a space ship with no windows and fly off straight in some direction. Turn off the engines and watch an accelerometer. It’ll never read anything until you run into something.

You could fly past a planet, a massive star, even a black hole. Your path through space could be full of curves and loops but you’ll never feel it. It’s popular to think of those things as like crazy high G turns but they’re not. You’re just flying in a straight line through space time.

On the flip side, say someone knocks you out and puts you on that ship. You wake up and instead of being weightless, you can walk around the ship like normal on earth. Are you on earth or is the ship in space accelerating at a constant rate? Again, there’s no way to tell. They are, physically, the same.

I mean you do. All the time. We all do. You’re allowed to use them, you’re just not allowed to copy them. It’s in the name you know, copy right.

I know. But we’re both talking about the same thing. Everyone gets irrelevant and ostensibly novel ads all the time. Cat litter, beauty products, diapers, whatever. They just so happen to have focused their attention on cat litter when they just as easily could have focused on dozens of other products and noticed the same result. And, in truth, it’s unlikely that they are actually novel, just unnoticed before.

I’d be incredibly skeptical of the claim that they’ve never been served a cat litter ad. Everybody gets served ads that are misses. They’re obviously easy to ignore which makes it difficult to recall what they were about. But I have no doubt that they would’ve been served cat-related ads plenty of times before. Cats are, after all, one of the most common pets.

Huh? League is bigger than dota 2. By like a lot. Because League has much more mass appeal than dota. And that was their point, it has a dedicated but niche fanbase.

Hard disagree. There’s plenty of games that are little more than dressed up choose your own adventure stories. Plenty that are meant for chill and relaxing gameplay. Plenty that do little more than guide you through horror scenes. And so on.

And even beyond that, most people don’t even play a game long enough to have any real “skill development over time.” I read from the Civ7 director recently that if you’ve ever finished a game of Civ you’re literally in a minority of the player base. And that tracks with what I’ve heard about other games as well.

Most players of any given game never finish it. Most of those quit at the first sign of frustration and most are on the easiest game difficulties. This would indicate to me that the majority’s conception of “fun” has little to no relation to skill development in the game. They’re there for the moment to moment experiences. Rubber band mechanics are there to evoke those fun experiences more often in the majority of the player base.

The thing is I don’t think it has anything to offer to bring in people from outside the genre. Some people really enjoy it but you kinda have to already be into that kind of thing (DOTA).

I think you’re overstating the importance of games as a platform for skill development as opposed to a platform for, you know, having fun. The fact is that the vast majority of players play any game on one of its lowest difficulty settings.

Rubber banding is made for the core of the game’s audience and challenge-seekers are just not large enough to be that core. Some of those rubber banding mechanics can and are disabled at higher difficulty settings. Others are needed at higher difficulty because the AI can’t compete and the investment in dev time to improve the AI just isn’t worth it because, again, very few people actually play the game at those difficulties.