This is an issue for the AI user though. And I do agree that needs to be more conscious in people’s minds. But I think time will change that. Perhaps when the photo camera came out there were some shmucks that took pictures of people’s artworks and claimed it as their own because the novelty of the technology allowed that for a bit, but eventually those people are properly differentiated from people properly using it.

That would be true if they used material that was paywalled. But the vast majority of the training information used is publicly available. There’s plenty of freely available books and information that you only require an internet connection for to access, and learn from.

Your first point is misguided and incorrect. If you’ve ever learned something by ‘cramming’, a.k.a. just repeating ingesting material until you remember it completely. You don’t need the book in front of you anymore to write the material down verbatim in a test. You still discarded your training material despite you knowing the exact contents. If this was all the AI could do it would indeed be an infringement machine. But you said it yourself, you need to trick the AI to do this. It’s not made to do this, but certain sentences are indeed almost certain to show up with the right conditioning. Which is indeed something anyone using an AI should be aware of, and avoid that kind of conditioning. (Which in practice often just means, don’t ask the AI to make something infringing)

This would be a good point, if this is what the explicit purpose of the AI was. Which it isn’t. It can quote certain information verbatim despite not containing that data verbatim, through the process of learning, for the same reason we can.

I can ask you to quote famous lines from books all day as well. That doesn’t mean that you knowing those lines means you infringed on copyright. Now, if you were to put those to paper and sell them, you might get a cease and desist or a lawsuit. Therein lies the difference. Your goal would be explicitly to infringe on the specific expression of those words. Any human that would explicitly try to get an AI to produce infringing material… would be infringing. And unknowing infringement… well there are countless court cases where both sides think they did nothing wrong.

You don’t even need AI for that, if you followed the Infinite Monkey Theorem and just happened to stumble upon a work falling under copyright, you still could not sell it even if it was produced by a purely random process.

Another great example is the Mona Lisa. Most people know what it looks like and if they had sufficient talent could mimic it 1:1. However, there are numerous adaptations of the Mona Lisa that are not infringing (by today’s standards), because they transform the work to the point where it’s no longer the original expression, but a re-expression of the same idea. Anything less than that is pretty much completely safe infringement wise.

You’re right though that OpenAI tries to cover their ass by implementing safeguards. Which is to be expected because it’s a legal argument in court that once they became aware of situations they have to take steps to limit harm. They can indeed not prevent it completely, but it’s the effort that counts. Practically none of that kind of moderation is 100% effective. Otherwise we’d live in a pretty good world.

Honestly, that’s why open source AI is such a good thing for small creatives. Hate it or love it, anyone wielding AI with the intention to make new expression will be much more safe and efficient to succeed until they can grow big enough to hire a team with specialists. People often look at those at the top but ignore the things that can grow from the bottom and actually create more creative expression.

I am kind of afraid that if voting becomes more public than it already is, it will lead exactly to more of the kind of “zero-content downvote” accounts mentioned in the ticket. Because some people are just wildly irrational when it comes to touchy subjects, and aint nobody got time to spend an eternity with them dismantling their beliefs so they understand the nuance you see that they don’t (If they even let you). So it kind of incentivizes people to create an account like that to ensure a crazy person doesn’t latch on to the account you’re trying to have normal discussions with.

But I understand that they can technically already do this if they wanted to. So perhaps it will be fine as long as we fight against vote viewing being weaponized as a community.

While I share this sentiment, I think/hope the eventual conclusion will be a better relationship between more people and the truth. Maybe not for everyone, but more people than before. Truth is always more like 99.99% certain than absolute truth, and it’s the collection of evidence that should inform ‘truth’. The closest thing we have to achieving that is the court system (In theory).

You don’t see the electric wiring in your home, yet you ‘know’ flipping the switch will cause electricity to create light. You ‘know’ there is not some other mechanism in your walls that just happens to produce the exact same result. But unless you check, you technically didn’t know for sure. Someone could have swapped it out while you weren’t looking, even if you built it yourself. (And even if you check, your eyes might deceive you).

With Harris’ airport crowd, honestly if you weren’t there, you have to trust second hand accounts. So how do you do that? One video might not say a lot, and honestly if I saw the alleged image in a vacuum I might have been suspicious of AI as well.

But here comes the context. There are many eye witness perspectives where details can be verified and corroborated. The organizer isn’t an habitual liar. It happened at a time that wasn’t impossible (eg. a sort of ‘counter’-alibi). It happened in a place that isn’t improbable (She’s on the campaign trail). If true, it would require a conspiracy level of secrecy to pull of. And I could list so many more things.

Anything that could be disproven with ‘It might have been AI’, probably would have not stuck in court anyways. It’s why you take testimony, because even though that proves nothing on it’s own, if corroborated with other information it can make one situation more or less probable.

I don’t know why you’re being downvoted. You’re absolutely correct (at least, in the US). And it seems to be based on pretty solid reasoning, so I could see a lot of other copyright offices following the same idea.

Source: https://www.copyright.gov/ai/ai_policy_guidance.pdf (See header II. The Human Authorship Requirement)

That’s sort of currently the law with copyright in the US. You can’t get a copyright on material made completely by an AI. Only if a human interfered can you get a copyright, and most likely only on the parts that the human interfered with.

Source: https://www.copyright.gov/ai/ai_policy_guidance.pdf (See header II. The Human Authorship Requirement)

Is there a place you share them? That sounds hilarious.

That’s because you’re using AI for the correct thing. As others have pointed out, if AI usage is enforced (like in the article), chances are they’re not using AI correctly. It’s not a miracle cure for everything and should just be used when it’s useful. It’s great for brainstorming. Game development (especially on the indie side of things) really benefit from being able to produce more with less. Or are you using it for DnD?

Not to mention just like with other things, Republicans are not open to removing the bastard cops in place, the Democrats at least contain people that want to do so. Sadly you have two choices, so pick the one that gets closest to what you want.

If you imagine that, you must also imagine Biden announcing this on X. And now stop imagining because that’s actually what happened.

And even with that base set, even if a computer could theoretically try all trillion possibilities quickly, it’ll make a ton of noise, get throttled, and likely lock the account out long before it has a chance to try even the tiniest fraction of them

One small correction - this just isn’t how the vast majority of password cracking happens. You’ll most likely get throttled before you try 5 password and banned before you get to try 50. And it’s extremely traceable what you’re trying to do. Most cracking happens after a data breach, where the cracker has unrestricted local access to (hopefully) encrypted and salted password hashes.

People just often re-use their password or even forget to change it after a breach. That’s where these leaked passwords get their value if you can decrypt them. So really, this is a non-factor. But the rest stands.

While this comic is good for people that do the former or have very short passwords, it often misleads from the fact that humans simply shouldn’t try to remember more than one really good password (for a password manager) and apply proper supplementary techniques like 2FA. One fully random password of enough length will do better than both of these, and it’s not even close. It will take like a week or so of typing it to properly memorize it, but once you do, everything beyond that will all be fully random too, and will be remembered by the password manager.

Depends on what kind of AI enhancement. If it’s just more things nobody needs and solves no problem, it’s a no brainer. But for computer graphics for example, DLSS is a feature people do appreciate, because it makes sense to apply AI there. Who doesn’t want faster and perhaps better graphics by using AI rather than brute forcing it, which also saves on electricity costs.

But that isn’t the kind of things most people on a survey would even think of since the benefit is readily apparent and doesn’t even need to be explicitly sold as “AI”. They’re most likely thinking of the kind of products where the manufacturer put an “AI powered” sticker on it because their stakeholders told them it would increase their sales, or it allowed them to overstate the value of a product.

Of course people are going to reject white collar scams if they think that’s what “AI enhanced” means. If legitimate use cases with clear advantages are produced, it will speak for itself and I don’t think people would be opposed. But obviously, there are a lot more companies that want to ride the AI wave than there are legitimate uses cases, so there will be quite some snake oil being sold.

What are you talking about? The open source community has trained these kinds of models. They’re out there.

Google Docs, Sheets, and Forms should also get a mention. People forget that before that the only way to work together on documents was a shared drive with file locking while 1 person can work on a file at a time, complicated and unpractical. There are still no massively adopted replacements for these (Or they’re made by Microsoft, lol)

If you’re here because of the AI headline, this is important to read.

We’re looking at how we can use local, on-device AI models – i.e., more private – to enhance your browsing experience further. One feature we’re starting with next quarter is AI-generated alt-text for images inserted into PDFs, which makes it more accessible to visually impaired users and people with learning disabilities.

They are implementing AI how it should be. Don’t let all the shitty companies blind you to the fact what we call AI has positive sides.

Yes, a theoretical future AI that would be able to self-correct would eventually become more powerful than humans, especially if you could give it ways to run magnitudes more self-correcting mechanisms at the same time. But it would still be making ever so small assumptions when there is a gap in the information it has.

It could be humble enough to admit it doesn’t know, but it can still be mistaken and think it has the right answer when it doesn’t. It would feel neigh omniscient, but it would never truly be.

A roundtrip around the globe on glass fibre takes hundreds of milliseconds, so even if it has the truth on some matter, there’s no guarantee that didn’t change in the milliseconds it needed to become aware that the truth has changed. True omniscience simply cannot exists since information (and in turn the truth encoded by that information) also propagates at the speed of light.

a big mistake you are making here is stating that it must be fed information that it knows to be true, this is not inherently true. You can train a model on all of the wrong things to do, as long it has the capability to understand this, it shouldn’t be a problem.

The dataset that encodes all wrong things would be infinite in size, and constantly change. It can theoretically exist, but realistically it will never happen. And if it would be incomplete it has to make assumptions at some point based on the incomplete data it has, which would open it up to being wrong, which we would call a hallucination.