Ok, current projections are still for the next two AP1000s at Vogtle to be something like $10 billion. That’s just not cost competitive with solar/wind. And it’s also not very realistic to assume that there won’t be cost overruns on the next one, either. Complex engineering projects tend to run over.
Also where did you see they did amortization of solar?
I’m just familiar with Lazard’s LCOE methodology. The linked paper talks about LCOE, so that’s just how that particular cost analysis works.
Vogtle added 2 AP1000 reactors for $35 billion. Future deployments might be cheaper, but there’s a long way to go before it can compete with pretty much any other type of power generation.
But the other misleading part is they looked at 20 years which is close to the life cycle for solar/batteries and not even half the life of nuclear
I think Lazard’s LCOE methodology looks at the entire life cycle of the power plant, specific to that power plant. So they amortize solar startup/decommissioning costs across the 20 year life cycle of solar, but when calculating LCOE for nuclear, they spread the costs across the 80 year life cycle of a nuclear plant.
Nuclear is just really, really expensive. Even if plants required no operating costs, the up front costs are so high that it represents a significant portion of the overall operating costs for any given year.
The Vogtle debacle in Georgia cost $35 billion to add 2 MW 2GW (edit to fix error) of capacity. They’re now projecting that over the entire 75 year lifespan the cost of the electricity will come out to be about $0.17 to $0.18 per kilowatt hour.
Archive.org was distributing the books themselves to users. Anthropic argued (and the authors suing them weren’t able to show otherwise) that their software prevents users from actually retrieving books out of the LLM, and that it only will produce snippets of text from copyrighted works. And producing snippets in the context of something else is fair use, like commentary or criticism.
just spitting the information back out, without paying the copyright source
The court made its ruling under the factual assumption that it isn’t possible for a user to retrieve copyrighted text from that LLM, and explained that if a copyright holder does develop evidence that it is possible to get entire significant chunks of their copyrighted text out of that LLM, then they’d be able to sue then under those facts and that evidence.
It relies heavily on the analogy to Google Books, which scans in entire copyrighted books to build the database, but where users of the service simply cannot retrieve more than a few snippets from any given book. That way, Google cannot be said to be redistributing entire books to its users without the publisher’s permission.
What does an LLM application (or training processes associated with an LLM application) have to do with the concept of learning?
No, you’re framing the issue incorrectly.
The law concerns itself with copying. When humans learn, they inevitably copy things. They may memorize portions of copyrighted material, and then retrieve those memories in doing something new with them, or just by recreating it.
If the argument is that the mere act of copying for training an LLM is illegal copying, then what would we say about the use of copyrighted text for teaching children? They will memorize portions of what they read. They will later write some of them down. And if there is a person who memorizes an entire poem (or song) and then writes it down for someone else, that’s actually a copyright violation. But if they memorize that poem or song and reuse it in creating something new and different, but with links and connections to that previous copyrighted work, then that kind of copying and processing is generally allowed.
The judge here is analyzing what exact types of copying are permitted under the law, and for that, the copyright holders’ argument would sweep too broadly and prohibit all sorts of methods that humans use to learn.
specifically about the training itself.
It’s two issues being ruled on.
Yes, as you mention, the act of training an LLM was ruled to be fair use, assuming that the digital training data was legally obtained.
The other part of the ruling, which I think is really, really important for everyone, not just AI/LLM companies or developers, is that it is legal to buy printed books and digitize them into a central library with indexed metadata. Anthropic has to go to trial on the pirated books they just downloaded from the internet, but has fully won the portion of the case about the physical books they bought and digitized.
No. The court made its ruling with the explicit understanding that the software was configured not to recite more than a few snippets from any copyrighted work, and would never produce an entire copyrighted work (or even a significant portion of a copyrighted work) in its output.
And the judge specifically reserved that question, saying if the authors could develop evidence that it was possible for a user to retrieve significant copyrighted material out of the LLM, they’d have a different case and would be able to sue under those facts.
The law says this is ok now, right?
No.
The judge accepted the fact that Anthropic prevents users from obtaining the underlying copyrighted text through interaction with its LLM, and that there are safeguards in the software that prevent a user from being able to get an entire copyrighted work out of that LLM. It discusses the Google Books arrangement, where the books are scanned in the entirety, but where a user searching in Google Books can’t actually retrieve more than a few snippets from any given book.
Anthropic get to keep the copy of the entire book. It doesn’t get to transmit the contents of that book to someone else, even through the LLM service.
The judge also explicitly stated that if the authors can put together evidence that it is possible for a user to retrieve their entire copyrighted work out of the LLM, they’d have a different case and could sue over it at that time.
Does buying the book give you license to digitise it?
Does owning a digital copy of the book give you license to convert it into another format and copy it into a database?
Yes. That’s what the court ruled here. If you legally obtain a printed copy of a book you are free to digitize it or archive it for yourself. And you’re allowed to keep that digital copy, analyze and index it and search it, in your personal library.
Anthropic’s practice of buying physical books, removing the bindings, scanning the pages, and digitizing the content while destroying the physical book was found to be legal, so long as Anthropic didn’t distribute that library outside of its own company.
The court’s ruling explicitly depended on the fact that Anthropic does not allow users to retrieve significant chunks of copyrighted text. It used the entire copyrighted work to train the weights of the LLMs, but is configured not to actually copy those works out to the public user. The ruling says that if the copyright holders later develop evidence that it is possible to retrieve entire copyrighted works, or significant portions of a work, then they will have the right sue over those facts.
But the facts before the court were that Anthropic’s LLMs have safeguards against distributing copies of identifiable copyrighted works to its users.
It took me a few days to get the time to read the actual court ruling but here’s the basics of what it ruled (and what it didn’t rule on):
Here’s what it didn’t rule on:
So it’s a pretty important ruling, in my opinion. It’s a clear green light to the idea of digitizing and archiving copyrighted works without the copyright holder’s permission, as long as you first own a legal copy in the first place. And it’s a green light to using copyrighted works for training AI models, as long as you compiled that database of copyrighted works in a legal way.
The ruling explicitly says that scanning books and keeping/using those digital copies is legal.
The piracy found to be illegal was downloading unauthorized copies of books from the internet for free.
Ham Radios
ABSOLUTELY HARAM
It’s more complicated than that. Electronics and appliances are the obvious examples of things that have inflated much slower than average (or even deflated). Apparel and tools have inflated much slower. Energy generally has inflated much slower than average, but has shown a ton of volatility. Food and cars have inflated slower than average, but individual items might have followed their own path. Healthcare, education, and housing have gone up much faster than average inflation.
And the ratios don’t stay consistent over time. When I was a kid, burger meat was cheaper than similarly sized chicken breasts. Now the ratio is flipped. A plane ticket between New York and London is much cheaper today than in the 70’s. Even a tank of gas for driving from one state to another is way cheaper today than in the 70’s, in large part because of better fuel efficiency.
And anything labor intensive is inherently at tension with itself. A seamstress or tailor can only make so many items of clothing per week. Those clothes will have to cost enough to justify their pay, and the raw ingredient textiles used to make the garments. So if their pay hasn’t kept up with inflation, then the labor-intensive items they make probably haven’t kept up with inflation, either. Ideally, increased productivity would allow raises to not be absorbed into the price of whatever is being produced, but that doesn’t always happen.
Looking at old menus and catalogs shows that some things have gone up a lot in price, while others didn’t experience the same effect.
That’s a misleading picture. Yes, the population of veterans did support Trump over Harris, but the population of veterans skews overwhelmingly male, white, and old.
Look at Pew’s 2023 survey. Among veterans:
Meanwhile, Biden probably won among active duty in 2020.
I suspect that if you surveyed veterans under the age of 50, you’d get a very different result. Or, if you surveyed the general non population but weighted it to be as old, white, or male as the veteran population, would the results be very different from veterans generally?
These narcissists would never agree to endure insults as part of a scheme. They’re also too incompetent to plan this kind of stuff.
There’s no plan here. It’s just always been an inherently unstable situation, with schemers who aren’t as smart as they think they are, all trying to achieve their own ends using ideas they don’t understand.
I think it’s healthy for opposing viewpoints to be expressed
Yeah, that way the community can get inoculated with these ideas and learns how to respond to them, and over enough time the response gets faster and more efficient so that the body as a whole builds up a resistance against whenever those types of comments show up.
This paper lays out the cost projections that one could expect with the lessons learned from Vogtle Units 3 & 4, with the tax credits and government guarantees available as of 2024:
https://web.mit.edu/kshirvan/www/research/ANP201 TR CANES.pdf