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Audio · 2026-06-13 · 1h 42m · 6 moments

Anthropic's Fable Backlash, Nationalizing AI, Inflation Heats Up & California's Broken Elections

(0:00) Besties are back! (0:19) Anthropic gets massive backlash over secret Fable nerfing and privacy concerns (29:16) The AI regulatory capture trap, pragmatic safety solutions (37:59) Nationalizing AI: Trump/Sanders, justifications, and AI's "Capitalist Cucks" (59:22) Liquidity recap: Best moments and takeaways (1:05:39) Inflation heats up: CPI and PPI see 3+ year highs (1:12:27) California's loose election laws creating integrity doubts Apply for Summit 2026: https://allin.com ✦ AI generated

timeline · colored by role

01
Mechanism

Anthropic's safety restrictions are forcing companies doing legitimate genomic and scientific research — like Ohalo — to abandon frontier US models for Chinese open-source models, which harms US economic competitiveness.

Friedberg describes how Ohalo's genomics work — designing genetic constructs, predicting phenotypes — was getting restricted by Anthropic's safety filters, forcing the company to adopt Chinese open-source models instead, which are superior to American open-source alternatives.

transcript

David Friedberg: Going back about six months, we were able to very simply and cleanly do things like design A genetic construct that you would then use to make a specific protein. And the tool was very easy to use to do that sort of research, and extremely valuable... Over the last couple of weeks, they've begun to restrict the ability to use the models to do that work. And the premise is that there's some sort of bioweapon type risk that folks have theorized could happen using these tools. And as a result, we're losing the capacity to use these models for this very important scientific development work. As a result, we are likely going to end up needing to use open source models and run them locally ourselves... And what are the best open source models today? They're Chinese. Yeah, they are. And that is a major concern. The American open source models are not as good as the Chinese open source models. So the restrictions that Anthropic and others are putting upon themselves and upon the industry is forcing a lot of companies to go and get open source Chinese models and run them.

provides context · 2

02
Claim

Anthropic's Fable 5 surveillance and model-nerfing, combined with Dario's calls for government regulation of AI, constitute a sophisticated regulatory capture campaign that will result in an AI monopoly/duopoly that surveils, profiles, and decides who gets access to frontier capabilities.

Sacks argues that Anthropic's surveillance and downgrading of users, alongside Dario's call for an FDA-style AI regulator, is a coordinated regulatory capture strategy to ban open source and lock in a corporate-government AI oligopoly.

transcript

David Sacks: Well, look, eight months ago, I said that Anthropic was engaged in a very sophisticated regulatory capture campaign based on fear mongering. And people at the time thought that was a very spicy take. But eight months later, I think you're hearing a lot of people say it. In fact, I think it's almost now becoming a new consensus... The part that you're missing is that this is a trillion dollar company that's spending potentially billions of dollars on a regulatory capture agenda, which is going to deprive you of access to those alternative models. And you've got a founder who's out there describing these risks in a very hyperbolic way. And it's very clear where their agenda is headed, which is to banning open source models. So what is your alternative going to be? We're going to be stuck with somewhere between one and three companies, maybe two. There'll be an AI monopoly or duopoly, and they're going to decide along with some new government agency, which will be a revolving door to their companies, who has access to what capabilities. And they're going to surveil you, profile you, decide whether you deserve this.

extends · 1rebuts · 1

03
Claim

Anthropic's surveillance and model downgrading — retaining all prompt data for 30 days, profiling users, and secretly downgrading them without disclosure — is an Orwellian breach of trust that creates a system of AI haves and have-nots.

Sacks details how Anthropic stores all user data for 30 days even for enterprise zero-retention customers, profiles users, and secretly downgrades them to lesser models based on its own criteria, calling it an Orwellian vision of who is worthy.

transcript

David Sacks: It's not just the fact that they're doing mandatory surveillance. Remember, this is a company that said that it was against government surveillance, they are now retaining for 30 days every prompt and every output you send to one of these Mythos class models. There are no exceptions. Even enterprise customers who had signed zero data retention agreements, they do not have a choice... And it does it to build a profile on you, to classify you, and then to determine what capabilities it then unlocks. And the thing that created the most outrage in addition to the surveillance is the fact that they would degrade the product. They would degrade what they show you. They would nerf their models if it decided in anthropic sole discretion that you are not worthy of having access to that level of information. So they're creating a new level of AI haves and have-nots.

extends · 1

04
Anecdote

Chamath Palihapitiya believes that building dedicated compute infrastructure for open-source AI is necessary to prevent a closed-source monopoly, but the capital costs have become prohibitive — a gigawatt now costs $100 billion.

Palihapitiya explains he's been trying to build a 2-gigawatt data center but the cost has ballooned from $4-5 billion to $100 billion per gigawatt, making it impossible to fund the open-source compute capacity needed to counter the regulatory capture threat from big AI labs.

transcript

Chamath Palihapitiya: Two years ago, I bought 2000 acres in Arizona with a partner. We got it zoned, we got it approved. So we're allowed to build a two gigawatt data center. And I thought that this was the moment where you just turn around and you flip it to the Blackstones, the Brookfields of the world, to the Googles of the world, let them develop it. And I've come to the conclusion that I don't think I can. And the reason is because I think that unless we direct large swaths of compute exactly at the direction that Friedberg says, what Sachs says and what Jason just said will happen, and we won't have open source... And so I'm coming to the conclusion that I think we may just be dragged into having to build 2 gigawatts. And I just put in an offer for another gigs in a different place because I'm like, if you could take 3 gigawatts and now actually create a deep and liquid access to open source, we're going to have to do it. We as a community. Now, I don't have the money to do that because just to put it out on the table, a gigawatt now costs $100 billion, guys.

rebuts · 1

05
Claim

The right place to intervene on AI safety is at the output/weaponization stage — enforcing existing laws against bioweapons, cyberattacks, and weapons design — not at the input stage by restricting access to the technology itself.

Friedberg argues that the same AI capabilities that enable weaponization also enable curing cancer and increasing food production, so regulation should focus on downstream weaponization (like existing laws against bioweapons) rather than blocking access to the technology up front.

transcript

David Friedberg: I would argue that there's three kinds of weapons. There's cyber weapons, there's physical weapons, and there's bioweapons... But the truth is that the capabilities that allow that weaponization are the same capabilities that I'm describing that can be used to cure cancer, to make more food, that can be used to make software tools that create extraordinary leverage for people, that increase their income, that give everyone the ability to be an entrepreneur and make millions of dollars and live a good life. The same tools are hand in hand. And fundamentally, I don't think it's about restricting access to the tools, which is unfortunately how it is being manifest. But the restrictions and any regulation, any observation should be organized around the manifestation of the tools in creating weapons and weaponization of the tools... I think the enforcement of those laws, the mechanism by which there can be tracking and early estimation of those uses of the technology, I'm not trying to be naive here. I recognize there have to be guardrails and there have to be stage gates put into these systems, but limiting the systems themselves is denying us both the economic opportunity, the job creation opportunity, and also the world-changing opportunity that these tools can enable.

explains mechanism · 1rebuts · 1

06
Claim

David Sacks has sympathy for Bernie Sanders' proposal to seize 50% of AI companies via a sovereign wealth fund because the AI CEOs' own doomsaying about mass job loss justifies the public demanding a stake, though he opposes outright confiscation.

Sacks says he opposes confiscation but has sympathy for where Bernie is coming from, because AI CEOs have been telling the public they'll put half the population out of work, so the public naturally asks why they shouldn't own half the company — and Sacks could support a more voluntary mechanism for public participation.

transcript

David Sacks: Well, I'm not in favor of Bernie's proposal because it's a straight up confiscation of property, and I just think that'd be a terrible precedent. You just can't do that. However, I do have sympathy for where it's coming from, and I understand and could support some sort of more voluntary means of allowing the public to participate in this. Wow. Here's the reason why. You've got all these AI CEOs telling the public that they're going to basically put half of them out of work. 50% job loss.

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