why were highly skilled Korean engineers working “illegally” in USA to begin with?

Most of them say they had valid visas or work authorization.

The U.S. has a visa waiver program where people can come into the U.S. without a visa, and have certain rights similar to visa holders. Many of the South Korean workers have taken the position that the visas they had that allowed them to work for 6 months, or the visa waivers they had entitled them to do temporary work for less than 90 days, and that they were within those time windows.

The lawsuits being filed also allege that immigration officials acknowledged that many of the workers did have legal rights to work, but that they were deported anyway.

So no, I don’t think it’s been shown that the workers did anything illegal. It really sounds like ICE fucked up by following a random tip a little too credulously.

It has long been used as a transitive verb. The Oxford English Dictionary has collected examples going as far back as 1897 using it generically to make something disappear, but this particular meaning, of government officials forcibly abducting a person and not explaining where the person went, really started to pick up by the 1960’s. The novel Catch-22, published in 1961, had a character use it in the transitive way, with the protagonist complaining that it wasn’t even proper grammar. And that novel was popular enough that it started to appear a lot shortly afterwards, in magazines and newspapers and books.

BS clickbait is annoying, but it shouldn’t be made literally illegal.

Increasing productivity of workers is met with demand for more production-intensive products. It’s like how every time hardware improves, software becomes more complex to take advantage of that increased capability. It’s like Jevon’s Paradox, but applied to productivity of workers.

One prominent example: our farmers are more productive than ever. So we move up the value chain, and have farmers growing more luxury crops that aren’t actually necessary for sustenance. We overproduce grains and legumes, and then feed them to animals to raise meat. We were so productive with different types of produce that we decided to go on hard mode and create just-in-time supply chains for multiple cultivars so that supermarkets sell dozens of types of fresh apples, tomatoes, potatoes, onions, etc., and end up eating much more fresh produce of diverse varieties compared to our parents and grandparents, who may have relied more heavily on frozen or canned produce, with limited variety.

Aren’t those his sons?

Mandatory until the European Commission updates the standard. The law mandating the use of USB-C explicitly has a procedure for how to propose a new standard to supersede the current one.

The boring answer: criminal investigative files generally aren’t released, so they’re compiled in a way that mingles information about victims with information about suspects and witnesses and others potentially involved in criminal activity, intentionally or unwittingly, directly or tangentially.

If you want to export a list of all names in the files, you’ll want to filter out victims for sure, and probably mere witnesses. You definitely don’t want to out informants and make them vulnerable to retaliation.

So most law enforcement agencies simply will keep everything secret. The idea of releasing names from the file was unusual, and it’s not surprising that Trump’s own people refused to follow through, especially when it’s highly likely that Trump was in that list of names.

Grok appears to be tuned to be more conspiratorial, and skeptical of official sources, while being more credulous of one-off random theories being spouted on the internet. Trump and MAGA world generally benefited from those types of voices when they weren’t in power, but now that they control the government this phenomenon will chip away at their political support from these types of low information voters, right around the time that those voices are being amplified by Elon’s control of Twitter and his new Grok bot.

No, LCOE is an aggregated sum of all the cash flows, with the proper discount rates applied based on when that cash flow happens, complete with the cost of borrowing (that is, interest) and the changes in prices (that is, inflation). The rates charged to the ratepayers (approved by state PUCs) are going to go up over time, with inflation, but the effect of that on the overall economics will also be blunted by the time value of money and the interest paid on the up-front costs in the meantime.

When you have to pay up front for the construction of a power plant, you have to pay interest on those borrowed funds for the entire life cycle, so that steadily increasing prices over time is part of the overall cost modeling.

apparently then it was around 20% to 25% as well

No, the unemployment rate was around 20-25% under the traditional definition. It’s currently 4.2% under that definition.

If you want to use this LISEP definition, fine, but recognize that it’s been above 30% for most of its existence, and has only been under 25% since COVID. Basically, if you go by the LISEP definition then you’re saying that the job market after COVID has been better than it has ever been before.

When the definition of unemployed is changed to exclude the majority of working age people without jobs then it is no longer a helpful statistic.

U-3 has used the same definition of unemployed since 1940.

Whatever metric you want to use, you should look at that number and how it changes over time, to get a sense of trend lines. LISEP says the “true” unemployment rate is currently 24.3% in May 2025, which is basically the lowest it’s ever been.

Since the metric was created in 1994, the first time that it dipped below 25% was briefly in the late 2010’s, right before COVID, and then has been under 25% since September 2021.

Under this alternative metric of unemployment, the unemployment rate is currently one of the lowest in history.

My problem with nuclear is both the high cost and, somewhat counterintuitively, the very long life cycles to spread that high cost. The economics only make sense if the plant runs for 75 years, which represents an opportunity cost of displacing whatever might be available in 25 or 50 years.

A solar plant planned in 2025 might be online in 2027, and decommissioned in 2047, replaced with whatever technology/economics are available then. But a new nuclear reactor bakes in the costs for 80+ years, to be paid by ratepayers who haven’t been born yet.

So if in 2050 a 2030-constructed nuclear plant is still imposing costs of $66/MWh on ratepayers, to finance the interest and construction costs from 25 years earlier, will that be competitive with the state of solar/wind/batteries/hydrothermal at that time? Given the past trend lines, it seems economically foolish to lock in today’s prices for the next 80 years.

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

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.