Mike Homol retweeted
I have a serious question.
Democrats are anti-oil & natural gas.
How does supporting the democrats bring down the prices of gas & electricity when they are against drilling?
Mike Homol retweeted
🚨 GOVT CAUSED THE GREAT DEPRESSION: Milton Friedman describes how the Federal Reserve made the Great Depression much worse.
Friedman describes the main problem with Govt is that it EXPANDS failures, while private markets PUNISH and ELIMINATE failures.
HOW MANY GOVT AGENCIES HAVE EVER BEEN ABOLISHED?
Mike Homol retweeted
main thing preventing us from having a productive AI safety conversation is identity. too many AI people want to be seen as intelligent by AI safety giants. too many skeptics want to be seen as critical of EA. you have to actually think. that is the only way we'll get there.
Mike Homol retweeted
Great conversation with @chamath, @jason, @davidsacks, and @friedberg on all the work ahead when it comes to diffusing benefits of AI broadly, earning permission from communities, and ensuring AI safety and control.
All-In Summit: Microsoft CEO Satya Nadella
-- The AI Doomer Slowdown
-- Common Sense AI Guardrails
-- What "Slowdown" Means for New AI Products
-- Microsoft’s Master Plan
-- Who Wins AI
(0:00) @satyanadella joins The Besties!
(0:55) Dario's blog, "pacing the frontier," common sense AI safety
(6:28) The failure of AI CEO messaging, monitoring agents, what will a slowdown mean for new AI products?
(14:22) Economic incentives for frontier lab doomerism, where the AI profits are
(22:45) Microsoft's master plan for AI, how they are allocating capital
(31:00) China's slow down, changing AI perception, data center benefits
$MSFT
Mike Homol retweeted
Tony Fauci shouldn’t have spoken on behalf of science. He didn’t speak for Virology. Nor did Collins/Daszak.
String Theorists & Quantum Gravity Theorists don’t speak for Physics.
MORAL: The leaders of a field do *NOT* generally represent that field when the field is unhealthy.
"I’m told that the AI companies, having been burned by the hostile response to the Navier-Stokes proof, are now sitting on solutions to some very major problems until they figure out a better way to handle things"
scottaaronson.blog/?p=10062
Mike Homol retweeted
i don't think people realize what just happened...
20-200x faster. 40-400x cheaper. output tokens free forever.
the man who co-invented ChatGPT just dropped a new kind of AI called Jev and the twist is it can't write a word, it only makes decisions.
he's calling it the shortest path to an AI-driven economy, this might be the most underrated launch of the year.
more below:
🤝 Paid partnership
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
Mike Homol 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.
Mike Homol retweeted
They tried to do w/ social media what they are attempting now with AI. To own it all & own us. They used dubious crises: "Russiagate," Covid etc. We barely survived those attempts to grab social media & the 1st Amendment & the proof is I can write about them on X.
Don't let those people capture AI. They may try new crises. Hang tough.
Mike Homol retweeted
“Effective Altruists believe a tiny group of technocrats should decide how much technological progress the rest of us are allowed to have… you are witnessing an attempted coup.”
There is an unseen hand pushing AI safety as a political ideology.
Effective Altruists believe a tiny group of technocrats should decide how much technological progress the rest of us are allowed to have…. and how many shrimp your life is worth.
You are witnessing their attempted coup.
thefp.com/p/dangerous-ideolo…
Mike Homol retweeted
The idea that two or three Silicon Valley companies should act as the creator, gatekeeper, and rulemaker of AI for every government on earth doesn't survive being said out loud. cohere.com/blog/who-gets-to-…
Mike Homol retweeted
I love this. My p(doom) was always low. It's gotten even lower all through the last month.
Early malfunctions that
1. Don't cause much damage; and
2. Drive more safety investment
...are a net benefit to safety.
I was more worried about AI existential risk in 2022 than I am today, even though models are vastly more capable.
The risks haven't disappeared: I always expected models to become incredibly powerful. But, one of the biggest uncertainties back then was whether frontier labs would actually invest seriously in alignment as capabilities scaled. Over the past few years, I’ve updated meaningfully on that.
I’m also surprised by how p(doom) is often discussed. It is not an exogenous constant waiting to be measured; it is endogenous. The probability of catastrophe depends on what labs, governments, researchers and society actually do. A number stated without assumptions about those actions tells us very little.
I've always believed the expected benefits of AI vastly outweigh the costs, otherwise I wouldn’t be working on it. But that is conditional on us getting this right.
We must moving beyond apocalyptic rhetoric toward the concrete questions: How should frontier labs collaborate on safety? How do we align incentives? And how do we communicate honestly with the public about what these systems can do today, and where they are going?
I am glad Dario brought the conversation back toward those concrete questions.
Mike Homol retweeted
If you want to know what's going on in the sudden gust of fear-mongering among AI companies, read what @cohere CEO @aidangomez wrote today. It's not "safety." It's the creation of a cartel. cohere.com/blog/who-gets-to-…
Mike Homol retweeted
Dario Amodei, Sam Altman, Elon Musk all agree that AI shld be regulated. Back in June, I wrote abt the inevitable calls from AI magnates for self-serving regulations that would coincidentally lock in their positions in the marketplace. reason.com/2026/06/24/the-ag…
Mike Homol retweeted
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.






























