🚨 Alex Karp, CEO of @PalantirTech, issues a thinly veiled warning about an AI bubble. On CNBC, he spent nearly twenty minutes dismantling the business models of OpenAI, Anthropic, and major AI labs. He argues that charging enterprises per token is equivalent to imposing a “wealth tax” without delivering any strategic benefit in return. He reports that his own clients are “furious.” At the core of his critique is financial: if these models truly generated value, their pricing should be tied to client gains—not mere consumption. Yet, valuations for OpenAI, Anthropic, and Nvidia are hitting record highs based on unproven returns on investment. Meanwhile, Palantir is strengthening its partnership with Nvidia and promoting its vision of “AI sovereignty,” where every enterprise retains full control over its data and models.

China playbook 101: don't build a bigger walled garden. Make walled gardens pointless. They did it to solar. China makes 86 to 96% of the world's polysilicon, wafers, cells and modules. Flooded the market, crashed prices over 30%, buried anyone trying to compete on premium tech. They did it to EV batteries. CATL and BYD alone are more than half the global market. Not cheap labor, structural cost advantage from owning the entire supply chain. Now watch an American infra company run the exact same play. Together AI (just raised $800M at an $8.3B val.): - Rents out GPU compute so companies can run open-source models instead of closed ones - Tasks moved from closed models to Together AI's infra cost one-fifth to one-seventh as much, per a founder cited in NYT reporting - Backed by Aramco, Nvidia, Vista Equity, General Catalyst, 500MW+ of compute secured - Saw the closed-model bottleneck coming and took the China route before it became one Closed labs and hyperscalers: - $650B+ from four hyperscalers in 2026 alone - Roughly 5,427 US data centers versus about 449 in China - Nearly half of planned US builds are getting delayed or canceled, power and grid bottlenecks - Staying closed, buying distribution with investor billions instead of earning it by opening up The closed side is raising more and showing less for it. $122B+ rounds building walls. $800M just made those walls a fifth as relevant. Call it "Borrowed Scale." Buying your reach with money instead of earning it by giving the model away. That's the closed labs and the hyperscalers. You can't out-spend a strategy you refuse to copy. When intelligence becomes zero cost, cost becomes everything.

What if all these closed source frontier AI labs are just pissing billions away only for open source models to pirate their IP?

BREAKING: Anthropic to close loopholes allowing Chinese access to Claude

It’s been super impressive watching @basedlayer leave an executive role at Blockstream and in less than a year create a business pulling in real revenue with only AI employees. Enjoy our conversation on building in this new age and how to ensure you end up on the right side of the divide.

🇨🇳 Chinese AI lab says it developed a "cyber nuclear weapon" capable of carrying out major attacks on governments.

I think a large portion of AI layoffs over the last 24 months were a great excuse to remove bloat from the Covid era The ROI won’t come for another couple of years