Ooh, I actually know a little bit about this!

A property owner can put whatever TF restrictions they want in the lease—and they often do! But just because it's in a contract doesn't mean it's legal (e.g. contract to kill).

Let's say a property owner finds out their tenant is working from home. They claim a violation of the lease and start eviction proceedings. That's dumb AF.

• This would only ever be used as an excuse for a tenant they don't like.
• If it came before a judge, even they would be like, "WTF?" And would probably not demand an explanation, but instead would point to mountains of case law that say a property owner can't dictate what people can and can't do within a rental property as long as those activities don't impact the property (e.g. the value).
• That's when the property owner would have to explain how Joe Schmoe working from home is somehow worse than retiree Judy Anywoman who stays at home all day every day.

Sounds like a watch you can count on!

They're just like any other data center, except bigger because that's more efficient than building a bunch of smaller ones.

AI data centers have a lot of GPUs and specialty hardware that use a lot of power, but they're still just big buildings with lots of computers in them. They just sort of sit there, with air conditioners running 24/7.

If they're not the huge "hyper scale" type, you end up with a situation like in the article: Where they had to cram too many cooling units in too tight a tight space (to make up for the fact that the data center wasn't built for its current workload).

IT requires constant learning. If you live to fool around with new tech, go for it.

If you hate learning new things and just want to settle on doing one thing your whole life, IT is not for you.

Whatever you're doing at the start of your IT career is not what you'll be doing by the time you retire. In fact, you'll probably change your entire job/role at least a dozen times throughout your career as technologies change and evolve.

Also, learn Linux. If you don't like the command line, there's no future for you. All the things are moving to Linux (in business). It's where all the big money is too.

Haha: What you state is logical and reasonable. That position would be easy to defend, if the legal system around copyright made sense.

Unfortunately, it isn't a logical system. You're trying to apply copyright law—which has now been ruled on in court, officially making training AI with copyrighted material Fair Use.

The problem is that the issue with ebooks is all about contract law. Not copyright.

When you "purchase" an ebook (which is a misnomer), you're actually signing a legally binding contract. A license, in effect, to use that copyrighted work for the sole purpose outlined in the contract. That outlined purpose expressly forbids using the work for anything other than you—the purchaser—reading it (usually on the platform they specify).

Having said that, many, many court rulings have found numerous license clauses like that to be unenforceable. That is, just because it's written in the contract, doesn't mean it's legal.

The courts have ruled—thanks to everyone's efforts fighting the MPAA, RIAA, Sony, Microsoft, and Nintendo in the 1990s and early 2000s—that everyone does have the legal right to "platform shift" whatever copyrighted works they own.

To get around that, those very same entities tried to use the Digital Millennium Copyright Act's rules about circumventing "copyright protection mechanisms" to try to make it illegal for people to platform shift their stuff anyway. That is, they added trivial encryption to all their platforms.

But it's even more complicated than that! Because Congress gave the Librarian of Congress the power to say when it's legal to circumvent such "copyright protections." For example, technologies that aid the blind (I.e. gotta decrypt that file for the program to read it out loud).

There's other exceptions and everyone fights to get more added whenever it comes up.

The key takeaway, though is that none of this complicated mess applies to physical books! So there ya go 😁👍

If you own a book, you can legally make as many copies of it as you want. As long as you're not distributing them, the courts treat that as a single effective copy.

Legal reasons: When you "purchase" an ebook you're actually just licensing it and nearly all ebook licenses exclude the ability to do anything with the ebook other than read it yourself.

They could get a commercial license to get big ebook libraries like Anthropic did, but they can't, really, because Anthropic paid for an exclusive license. Which means that if other AI companies want to compete, they sort of have to buy books in bulk and tear them apart to scan them.

If you think any more than 0.1% of these physical books would ever have ended up in antique bookstores, you're dreaming.

Think about how many books out there are things like Donald Trump's biography, or pointless drivel from non-experts, self-help books that tell people to down "essential oils", old editions of programming books, or just plain shitty fiction that never sold much in the first place.

It's ok to throw trash away! Really!

That's like saying, "they had some failure modes from the synthetic data, so they should just obviously stop trying forever."

They'll just fix the edge cases and move on. Like any programming task.

Yes. That does make sense.

If you bought a book, scanned it—destroying it in the process—then read it on your computer, that would be completely acceptable.

Why is it wrong when a corporation does the same thing?

They're not claiming ownership of the copyrights, just ownership of a copy. Which is how copyright works.

Big AI mostly switched to synthetic training data anyway. The books they're digitizing are being used to gather knowledge, not writing styles or logic (mostly).

As in, when you ask ChatGPT how long some book is, it can just go check (if it's in the database). It's also useful if you ask about that book or about knowledge contained in that book. It'll even reference books now (if you demand that in your prompt).

It's not the same as earlier LLM tech which relied on scanned text to figure out how to respond to any given prompt (from a language standpoint). The "language" part of LLMs is a solved problem now (thanks to the synthetic training). At least for English 🤷