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PaperclipPerfector  1d ago (text post)   3923 thread views

Culture War Roundup for the week of August 31, 2026

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Is There Real Anti-Trust Risk From A Coordinated AI Lab Pause?

In AI-pause discussions it is increasingly common to hear the "anti-trust" objection. The idea is that if the labs were to coordinate a pause in frontier AI development, this would be a "conspiracy in restraint of trade" and therefore illegal.

Putting aside the question of whether it is ethical to risk a double-digit chance of destroying the world in order to avoid getting sued (it isn't), is this even a realistic possibility? My impression is that anti-trust law in the United States is legitimately quite fuzzy (as the NCAA is currently discovering).

Putting my cards on the table, I think this argument is cope. The labs want to pretend that they want to pause, but they don't actually want to pause. "If she wanted to, she would," etc. Just today, Anthropic put out a new statement containing the following sentence:

"To be clear about where we stand: we believe the world would benefit if the industry adopted a lawful, verifiable, effective mechanism for coordinated pacing as soon as possible."

It seems like every time I read a statement from them, they've added more and more qualifications. Are they going to keep racing until congress passes a specific anti-trust exemption? That arguably seems like what the word "lawful" is implying.

Just today, Anthropic put out a new statement containing the following sentence:

"To be clear about where we stand: we believe the world would benefit if the industry adopted a lawful, verifiable, effective mechanism for coordinated pacing as soon as possible."

The funniest part is that another common excuse is "but China", which is fair enough, except China now says (at least they suggest so in a state-affiliated media) that the biggest issue with coordinating on AI safety is Anthropic, and specifically Dario Amodei.

When the U.S. government chose to loosen and retreat in order to maintain technological hegemony, and when capital markets offered a "moral exemption" in exchange for investment returns, Anthropic's desire for control—originally buried only in a personal savior complex—found fertile soil in the American social system. This is also the root of the "closed-source America" phenomenon. …

Earlier, when Anthropic's annualized revenue reached the billion-dollar threshold and it was preparing to accelerate commercialization, a long article Amodei published had already revealed his ambition to intervene in the global order.

The article devoted an entire section to international governance, in wording full of a desire for control and aggression:

A coalition of "democratic countries" should firmly control the AI supply chain and restrict rivals' access to chips and semiconductor equipment; at the same time, they should both leverage AI to form a military advantage and use benefits to attract more countries to join. He clearly proposed that this requires "extremely close cooperation" between private AI companies and governments.

This does not sound like an entrepreneur discussing a roadmap for a company's product development—it is planning a global AI order, and reserving for his own company a dominant seat at the very core. …

Putting these facts together, the path is already clear: Anthropic first enters government systems by virtue of its safety capabilities, then uses lobbying and funding to help shape industry rules. It is at once a regulated entity and a participant in defining which models are dangerous and when the government should stop a model from entering the market.

At this point, Amodei's logic has undergone two amplifications: from "I am doing good" to "I will decide for you"; from "my country is doing good" to "all those who do not cooperate should be restricted."

This is entirely a monster bred on the American path. It sincerely believes it is right, sincerely believes its model is "the democratic model," and its safety standards are the world's safety standards—yet it is utterly unaware that this very absence of doubt is itself the greatest danger.

So the real question is not "whether to manage," but this: who should define the safety boundary of frontier models? Who is qualified to say which models are dangerous, and which behaviors need to be restricted?

U.S. officials have already been discussing how to get China to agree to restrict "AI models with dangerous capabilities." The problem is this: with companies like Anthropic in existence, before the U.S. asks China to restrict model releases and disclose risks, should it not first investigate its own companies, make public the purpose, scope, and rules of its detection mechanisms, and accept third-party audits?

That Chinese state media article seems like total hooey. The Trump Department of War cut ties with Anthropic, and the Trump White House has adopted a "voluntary" (though nobody truly believes this) system for dealing with new frontier-pushing AI releases.

It's also silly for China to criticize American labs for being closed, and for 'deciding for you', when it is obvious to anyone with half a brain that society will not last very long if AIs that are above a certain capability threshold are made open source. To use just one example, if an open source AI ever gets smart enough to help someone who wouldn't otherwise be able to do it, to biohack together a new deadly virus in their garage, that would be very bad. Because once something like that is out in the wild, it becomes inevitable that someone will do just that.

Even the informal system the Chinese labs are adopting, where they serve up a model for about a month before they make it open source, isn't a perfect solution, because there might be behavior that someone who has the model weights might be able to elicit (such as via ablation) that won't be obvious until the genie is out of the bottle, and so even the month long preview period won't tell us what these models can and cannot do.

if an open source AI ever gets smart enough to help someone who wouldn't otherwise be able to do it, to biohack together a new deadly virus in their garage, that would be very bad

What makes you believe this is possible? What makes you believe it can't be addressed by the boring know-your-customer sales restrictions we already use to prevent this happening? What makes you believe that an AI capable of designing a new deadly virus isn't going to be equally good at putting together new regulatory regimes? Why does not going along with the axioms of this one endlessly-spammed fictional scenario indicate that people who disagree with you don't have half a brain?

Right, "even the month long preview period won't tell us what these models can and cannot do" is also true for humans. We cannot tell if a human might design a deadly new virus. To the extent that AIs are a problem, they are a problem in the same direction as widespread literacy, accessible libraries of books, and the internet: the broadening of knowledge also broadens the circle of people who might abuse this knowledge.

The best solution is pretty clearly physically securing dangerous materials.

The best solution is pretty clearly physically securing dangerous materials.

For biological hazards, yes, very clearly that is best. But it actually has to be done, not gestured at. Until it's actually done (and getting it done internationally seems realistically feasible here, unlike broader AI safety things), model-level classifiers are a hacky way to mitigate the threat as a bridge until something more robust is developed.

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