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Tony Andarian is a retired computer scientist. Andarian Publishing is his imprint for developing the Sanctum of the Archmage epic fantasy novels and games.
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Joined February 2022
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This make sense, and it may explain the urgency of Anthropic and OpenAI's sudden "regulatory capture" gambit. Between competition from xAI and developing open alternatives, they may well be at the peak of an impending correction for their business model.
This is why Anthropic and OpenAI are panicking and saying "AI is going to kill everyone."
They had the market captured before. Now they don't.
Normal people & enterprise companies don't need cracked-out, borderline-AGI models like Astra and Fable for their daily work. It's too expensive.
The market shifted towards using open weights models that offer 95% of the same capability at 1-2% of the price.
These guys totally underestimated their competition, IPOs are now cooked, and they're absolutely panicking. So they're trying to create a regulatory cartel and have all of their competition banned. That's all it comes down to.
Tony Andarian retweeted
This is best understood as a continuation of the Left's effort to install political commissars everywhere.
I voted for this.
🚨 BREAKING: THIS IS HUGE. THE WHITE HOUSE JUST PUT AMERICAN LAYOFFS DIRECTLY INTO THE H-1B REVIEW PROCESS.
President Trump signed a new executive order TODAY.
Federal agencies are now directed to consider whether an H-1B sponsoring employer:
Laid off similarly situated American workers during the previous year
OR
Plans to lay them off in the future.
And there’s more.
The Labor Department has 30 DAYS to begin reviewing previously submitted H-1B Labor Condition Applications to determine whether action against sponsoring employers is warranted.
Think about the implications.
A company lays off thousands of American tech workers.
Then turns around and says it needs H-1B workers.
The government is now explicitly being told:
LOOK AT THE LAYOFFS.
This is exactly the question companies should have been forced to answer all along.
whitehouse.gov/presidential-…
Tony Andarian retweeted
This is Trust & Safety 2.0.
The last time we had media-generated panics like this (with Russiagate and Covid), social media companies created “trust & safety” teams to censor conservative and dissident voices. Those hires worked with left-wing NGOs like the SPLC to police public discourse and do an end-run around the First Amendment. It almost worked, until Elon bought Twitter and exposed the whole game in the Twitter Files.
This time the plan is to embed unfireable EA minders inside every AI company as the new trust-and-safety layer. The censorship and control will be far more comprehensive, but also more subtle. Anytime they don’t get what they want, this unaccountable NGO layer (with the veneer of “trust the experts” pseudoscience) will shriek to the press that the AI company is risking humanity, and they will be celebrated as “whistleblowers.”
These groups haven’t earned our trust, and their agenda is not our safety.
aievaluatorforum.org/initiat…
The realistic alternative to AI-made Mary Sue wasn't artist-made Mary Sue. It was no Mary Sue.
I saw someone say they'd love Mary Sue if we'd used real artists instead of AI. I get the impulse, but that ignores how things actually get made.
A single finished minute of Disney-grade CG animation can run into a seven-figure budget most indie creators will never see. Nobody was going to write that check for a satire skewering girlboss tropes, "misunderstood villain" narratives, and the moral universe modern Hollywood has been force-feeding audiences for the last decade or more.
The choice was never "AI or artists." The choice was to use the tools available to make the thing, or sit quietly while Hollywood keeps owning the entire cultural pipeline.
The right can spend the next decade complaining about AI, wringing its hands about whether it's unethical or a threat to artists, and watching from the sidelines while everyone else uses it. Or we can pick up the tools in front of us and start making the stories nobody else is going to make for us.
Mary Sue exists because I'm done complaining about Hollywood. I don't apologize for using the tools that let us compete with them. The alternative is silence, and silence is exactly what the people running the culture want from us.
Oh and because of Mary Sue's success, I'm now having conversations about a Mary Sue feature with a real budget. I'm not sure where those talks will lead, but if a Mary Sue feature becomes a reality, it'll employ real artists in jobs that wouldn't have existed if I had refused to create with these new tools out of some misguided artistic principle.
I could not agree with this more strongly. The Iron Age revolution will begin with books, and only eventually spread to the more capital intensive arts. If you're not reading books now, you're missing out on a profound and brewing cultural revolution.
This is perfect. It names the grift dishonest AI companies (Anthropic/OpenAI, NOT xAI or Meta) are trying to extort from the public. And we've seen it all before:
- A regulatory body THEY control.
- Immunity from liability.
- Too big to fail status, enabling future bailouts.
When they say: Please, for the love of God, regulate us. Give us licences, audits, and bans before our digital God destroys us all.
Here is what is actually being requested. Three things, in order.
A regulatory body that they control, to prevent competition from catching up. Written with their people, staffed by their alumni, and calibrated to what they can already afford. Compliance is a fixed cost, which means it is trivial for the incumbent and fatal for the challenger. Not technology, but paperwork becomes their moat.
Immunity from liability. This is the one nobody talks about and it is the most valuable of the three. Today, if your model causes harm, it is your fault. Once licensed, audited, and approved, it is the regulator’s fault – you followed the rules. The licence converts responsibility into a receipt.
Too big to fail status, which means taxpayer funded bailouts in case of problems. Declare it critical infrastructure and the state now has an interest in your survival. Which means, when something goes wrong, the losses are public and the gains stay private. We have watched this film. Banking, 2008, same argument, same vocabulary.
Note the pattern: every one of the three transfers something from them to the public – risk, competition, cost – while the language is entirely about protecting the public from them.
The sincerity of the fear is beside the point. Sincere people can still ask for exactly what an insincere person would ask for, and the request should be judged by what it does rather than by what motivates it.
The alternative is unglamorous and works: competition, adversarial testing between rivals who want to find each other’s flaws, and full liability after real harm. Nobody gets a licence. Nobody gets immunity. Nobody gets a bailout. You build, and you answer for what you built.
That is the arrangement that made the West rich. It has never needed anyone’s permission to work.
Tony Andarian retweeted
Mark Zuckerberg: “Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us.”
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The reality is:
- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.
There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.
- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.
Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.
- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.
- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.
I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
The layers of the grift are slowly being peeled back.
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
Tony Andarian retweeted
The AI doomer campaign to panic the masses has sparked a counter movement that has largely sat on the sidelines until now.
Post covid hysteria era, Americans are deeply skeptical of doomsaying and demands that the government "act now" to solve the problems of ideologues.
This isn't going to work out in the way that Sam and Dario have envisioned it proceeding.
Tony Andarian retweeted
Fine. Take their fucking number. Anthropic’s own alignment lead said there’s a greater than 10% chance this shit kills every human being within a decade, and they still don’t have a plan to stop it.
If that sentence is true, you shut the lab. You get on your knees next to Bernie Sanders and beg for a halt. You do not ship another model. You do not court a trillion-dollar IPO. You do not walk into public markets with a smile while your safety people are out there announcing the end of the species.
They kept building. They kept selling. They kept cashing the prestige.
Now bleed through the excuses.
If the 10% line is theater, they lit a civilization-wide panic for brand and regulation while the product kept rolling out the door. Sanders swallowed it. Pritzker swallowed it. The press called a six-week nobody a whistleblower and ran. That’s not caution. That’s a marketing department playing God with a body count.
If the 10% line is sincere, these people are selling tickets to a machine they have already described as a species-killer. They’re monetizing the apocalypse and asking investors to underwrite it at a valuation that only works if humanity doesn’t die on schedule.
The house lie is the sickest one: too dangerous for everyone else, safe because they’re the chosen. That’s a fucking priesthood with a cap table. Savior complex as a business model.
A normal company would have told that six-week resignation to sit down. Their own safety lead co-signed the prophecy and jacked the odds. Then they kept racing toward the offering. Sacks put the knife on the table. Call it hype and kill the sermon, or admit Sanders is right and kill the IPO.
They want both. The fear and the fortune. The pulpit and the exit.
Pick one, you cowards. Either you’re lying about the end of the world, or you’re selling it.
(article below)
Tony Andarian retweeted
🎉The midterm Scary Potter / AI Doomer op is officially dead.💀
🚨Trump called it a hoax. His AI czar @DavidSacks told CBS that Amodei should “step aside” if he can’t control what he’s building. @kevinnbass audited Anthropic’s $7.7B regulatory-capture machine and called for a Congressional investigation. A two-person London shell (ControlAI) drafted Sanders–Casar — on the UK public record.
The op didn’t survive contact with primary sources.
The 2026 BasedCon Book Sale is on, and Sanctum of the Archmage: Dawn of Chaos is in it! From September 9th thru 15th, discover based books from both established and up-and-coming authors for free or just $0.99.
basedbooksale.substack.com/p…
Tony Andarian retweeted
Every modern bid for centralizing power has the same playbook
Take a real problem, blow it completely out of proportion with a well funded psyop, then declare the only solution is concentrating power and extreme compliance by the population
Anything else is dangerous, ignorant, selfish, and irresponsible
Climate change, Covid, systemic racism, and AI safety all follow that pattern
It’s a shame because there are real problems (to varying degrees), but they are unaddressable because any attempt to deal with them in good faith will get hijacked by extremists
THIS is the playbook of the major AI platforms (OpenAI and Anthropic). VERY disappointed to see Elon Musk, who I don't believe shared their corrupt motivations, nevertheless being duped into supporting their dishonest narrative.
This is what Dario and Sama fear -
- the cost of fine tuned open source models trained on custom data was 95% less than the frontier models
- And they performed better than the frontier models
- And they could train them in less than 48 hours
The big AI labs have no moat..
Even at the enterprise level..
Any sane company would prefer a custom trained open source model instead of paying API pricing to Anthropic and Open AI
If open source keeps growing at the pace it is, frontier labs' business collapses..
only way out is oldest trick in manipulation - FUD -> Fear, Uncertainty, Death
Step 1 - Seed the psyop
- Test a swarm of agents trained to "hack"
- The swarm does what its supposed to do - hack
- Publish a report - AI is too dangerous
Step 2 - weed out the doubters
- Get an employee to quit your company
- Go viral saying both companies are not doing enough to self regulate AI
- AI is dangerous - will kill humanity by the end of the decade
Step 3 - Prepare for fruition
- write an "essay" to "pace the frontier"
- Advocate regulation
- Only a few holier than though companies get to build AI
- Scare the world into agreeing with AI Doom
- Effectively turn your competitors into criminals (genius business strategy)
Endgame -
- Become a cartel that controls AI (and the world)
- Raise prices (coz business is unsustainable... ofc)
- IPO (offload liability of said unsustainable business to the public)
Laugh all the way to the bank 🤑
Win!