It's a way of reframing sloppy practices as a signal to your investors that your software has become powerful. Most of the horror stories about AI showing signs of becoming hyperintelligent are coming from the companies themselves, which should tell us something.

While the energy source of wind and solar are free, building and maintaining the plants is not free.

If all they were building were a single 100MW data center, sure: renewables would be cheaper to build. But they evidently are planning a major campus that will consume most of the plant's 615 MW output over the next 25 years.

A solar installation, in a favorable location, capable of supplying 600MW around the clock (with battery backup) would have to be roughly 1800MW in capacity. It would be among the largest inthe world, on the order of ten thousand acres in size at a build cost of maybe 2 billion. The battery backup system to ensure 99.9% uptime would be 9x the size of the largest li-ion grid storage system ever built, and set you back on the order of 4-5 billion dollars.

While it's probably cheaper to go renewable than build a *new* nuclear plant, if you can reactivate and one for just two billion that looks like a bargain, if you have a use for all that power. Inability to save money by load following is the financial Achilles' heel of this generation of reactors, but if you have a guaranteed customer for most of your output, years in advance, that's as close to an ideal economic case for them as anything could be.

ToS is the strongest argument, but the distillers are not parties to the ToS. They get their data from data brokers. It is possible that data brokers are violating the ToS, but it would be hard to write ToS that precluded running queries for third parties without creating problems for consultancies and other businesses. Even presuming the ToS could be written to preclude the data brokers doing that, it doesn't affect the resulting model.

But the general shape of the argument brings us right back to unclean hands: we worked hard on this model and it's not fair for you to profit off our work in a way that doesn't have our permission.

I think the fair-minded position is to see what people think when the documentary comes out. You're essentially arguing a negative here -- that there *can't* be anything of value that hasn't been said yet.

Also, I don't think saying something *new* is necessarily critical. Sometimes saying something obvious but in an interesting way is worthwhile.

In this case, Holmes gave access to the filmmaker. Obviously she has an agenda. If the filmmaker is smart, he has an agenda that's different from hers. If he knows his business he'll find something interesting to show you from that conflict.

Now looking at the trailer -- holy shit that woman gives off batshit crazy vibes. That's new to me. I expected her to be slick, persuasive, like Saruman in Lord of the Rings: someone. you'd need real strength of mind to resist being persuaded by. If I'd just handed someone like that my business card, I'd get it back on some pretext then head as fast as I could for the door.

It doesn't make it *right*, but it does make claiming it is *wrong* inconsistent with their own behavior. This could prevent the US companies from suing the Chinese companies seeking an injunction (due to the "unclean hands" doctrine), and probably blocks them from seeking monetary damages in most US jurisdictions.

And suing may undermine the US companies own intellectual property claims by exposing their shaky foundations. An AI model isn't *expression*, so it can't be copyrighted. Insofar as the service allows the underlying model to be deduced through regular usage, trade secret protections don't apply because that's *reverse engineering*, which trade secrets don't prevent.

This leaves violations of terms of service. But setting aside the dubious enforceability of anti-reverse engineering provisions, the Chinese companies may not even be parties to the ToS agreement if they are obtaining the model data through a network of contractors and shell companies.With only moderate paranoia, they can effectively shield themselves from some kind of US tort claim.

Which leaves them with the model they've created from the US company's model, but which the US company has no IP claim upon. If I download a DeepSeek model that's been (hypothetically speaking) trained on Claude, Anthropic might not like that, but what can they do about it?

It's a strange situation. US investors are spending cumulatively on over half a trillion dollars a year in the hope of owning a breakthrough frontier model that is the end of the economic world as we know it. But the essence of the model might not be intellectual property at all.

Think of the categories as fixed, and the people moving *through* them. Over 65s are exiting the category at a lower rate.

I know nothing about this guy or this project. But the author of the summary apparently feels that, in the spirit of deep investigation and journalistic corroboration, the evidence we *really* need to evaluate is an unnamed blogger:

and not the actual quote from the guy apparently supporting the ethnic cleansing of Europe?

Either that quote exists, and is infinitely more significant evidence for us to see and evaluate, or it doesn't exist, and the author is just helping to propagate slander.

Given the author's choice I'll take a guess which.

It's more a case of the fox being in charge of the chicken coop; or bank robbers gaining control of the bank.

The job of the press in a democracy is to hold officials up to scrutiny.

The logic is economic autarky -- the belief that we're always better off having complete political sovereignty over every part of our supply chains than having to depend on imports for anything.

This is likely also behind Trump's trade war with Canada. His demands with Canada aren't about discirimatory tariffs -- those were negotiated away with NAFTA then re-negotiated in his first term. His demands are now infringe on Canadian sovereignty, to give US control of Canada's external trade policy, and even on its internal markets (e.g., the use of French in Canadian internal commerce). Symbolically, that's why he wants to rename Lake Ontario to "Lake America". HIs establishment of US control over the Venezuelan oil industry is his greatest foreign policy achievement -- although it's not clear he understands the legal limits on what he can do with their money.

There's a foreign and military policy angle to this too: Taiwan is absolutely critical to the US economy, so we are absolutely committed to defend them if China invades. Semiconductor autarky would mean it's not our problem.

The problem with autarky is that even if it's a good idea (which economists don't believe), you can't conjure it into existence overnight. It will take many years, possibly decades for the US to replace the Taiwan's semiconductor industry. In effect, the administration is proposing to inflict the very damage on the US economy that a Chinese invasion of Taiwan would inflict.

And, once the US has voluntarily self-inflicted that damage, China would be free to invade Taiwan.

Gemini's new discounted Flash pricing is still ~3x the price of GPT Luna, and that was released a week or two ago.

Everyone's hemorrhaging money here, but Google feeling they can't match or undercut isn't a great sign for them. And Gemini is flagging in intelligence too, which would be a strong reason to underprice if they could. Gemini Flash used to be your cheapest option. I'd say structural advantage still puts the odds in Google's favor in the long run, but has to be a worse situation than they ever expected to be in.

Investors are chasing a company that achieves some kind of AI singularity. Let's set aside the fact that there's no reason to believe there is anything but diminishing marginal returns by making marginal refinements to current frontier models. Let's imagine someone hits the jackpot and gets, not even AGI, but a system that's as far ahead of today's frontier model are ahead of 2020's GPT 2.0 in performance.

Globally AI revenues are 150 billion, against a cumulative burn rate of 450 billion. A model that is a generation ahead of others would almost certainly capture the lion's share of that revenue.

If AGI magically appears as a Sam Altman has promised investors it will, a hundred million is way too low. Add, maybe, another zero to the revenues.

Conservatively, a safer assumption is that frontier models will get marginally better based on refinements in training and reinforcement and the other bits and bobs that go into these systems. The nobody is winning the lion's share of anything, at least overnight. But you have to define "safe". By "safe" I mean unlikely to lose money. But some investors are clearly defining "safe" as "having the greatest chance of owning a piece of the biggest thing ever."

I'm not following this super-closely, but if Anthropic is pursuing adding multi-step model based reasoning to their system, that could be the basis of a generational leap in capability. But if that is an approach that looks like it has a chance of working, then their competitors are no doubt pursuing the same thing. In that case you'd expect the revenue pie to grow as the scope of model utilty increases, but that growth to be split among several competitors. This could credibly result in a revenue stream for some of them that is as big as the entire industry's revenue stream today. But there's going to be hell to pay on the data center impacts end of things.

Huggingface has disclosed a security incident in which AI driven infiltrant (17k actions over a couple days) chained vulnerabilities to move through the infrastructure.

The responded with AI-driven analysis, but Anthropic and OpenAI models refused to perform that analysis because their "safety" features didn't distinguish it as a defensive measure.

So they had to fall back to an open model (GLM 5.2).

In short, attackers have unshackled AI at their disposal and if you don't have your own open models running you are ceding that to them as purely their advantage.

Well, yes. For many years, presidential candidates, both Democratic and Republican, referred to the United States as "the indispensible nation". And my reaction was always, "Doesn't that mean the US is a single point of failure for civilization?"

We are currently performing an experiment which addresses this question: can the US enjoy the benefits of soft power without the cost? That's the whole point of obeying *norms*. No individual force is going to punish you if you are treacherous, mercurial, foul-mouthed, disrespectful and generally unpredictable. Everyone will punish you.

I think an inevitable cost of this experiment will be that the world will decide that the US can't be a single point of failure for global democracy any longer. In many ways, that's something that will be good for us. But it's also going to cost us in painful ways. When the world decides to move away from the dollar as the international reserve currency, you will see both inflation and higher interest rates on everything from credit cards to mortgages, to business loans that will offset the export advantages. We will need *more* business investment to shift the economy to producing low value goods again, so the transition will be rocky.

It's a trade off: you get abundant free energy to run the server, with extreme constraints on cooling because your server is running in the most perfect Thermos bottle ever.

Others are taking the opposite tack: undersea data centers for abundant free cooling at the expense of having to get the power down to your servers.

If had to bet on which one is more practial, I'd go with undersea servers. Build them off the coast of Chile, run cables out from batery-backed solar plants in the Atacama desert.