Chamath said AI is not like the internet. Every new user costs real money. And the infrastructure making it possible was built by everyone. His argument was the clearest case for government ownership of AI labs I have ever heard. And it had nothing to do with Bernie Sanders. Start with the internet comparison. Google and Facebook became the most profitable companies in human history because of one number. The marginal cost of adding a new user was effectively zero. One more search query cost Google nothing. One more Facebook profile cost Meta nothing. They could serve a billion people and the incremental cost of that billion person was rounding error. That is the money printer. Infinite scale at zero marginal cost. AI breaks that model completely. Every single user taxes a GPU. Every query costs electricity. Every response requires memory and compute. The marginal cost of AI is real, significant, and does not disappear at scale. You cannot print money the same way. Then Chamath made the point that landed hardest. The infrastructure these companies depend on, the power grid, the land, the data centers, the permitting, the national security apparatus that protects their chips from being stolen, none of that was built by Anthropic or OpenAI. It was built by the public. By taxpayers. By decades of government investment in the physical and legal foundation these companies are now running on. He compared it to the interstate highway system. If the federal government built the roads and two companies transported all the goods on them, a logical question at that point would be how much of that should I own? You are riding on my rails. His conclusion was direct. If he were running a sovereign wealth fund and had the negotiating leverage of the US government, he would own 75% of these companies when he was done. The internet had zero marginal cost. That is why the founders captured almost all of the value. AI has real marginal cost and runs on public infrastructure. That changes who has a claim on what gets built. WATCH THE FULL PODCAST ON @theallinpod

LeBron James reveals he didn't know what a pantry was until high school “I went to my high school coach's house and I asked him, ‘Can I get a snack or some chips or whatever?’ He was like, ‘Yeah, just go in the pantry.’ I'm like, ‘What the fuck is the pantry?’” “Where I grew up, everything is on top of the refrigerator. The bread, the chips, the cereal, everything is on top of the refrigerator. I don't know what the hell a pantry is” “That was my motivation right there. I'm like I got to give my mama a pantry”

Paid off my car loan 13 months early and my credit score dropped FIFTY points. This country is a joooooke 🤡🎪🔥

Snapshots from Lagos today. Eko o ni baje o

Jeff Bezos on CNBC explains revealed what Prometheus is building. Today his new company Prometheus announced a $12B funding round at a valuation of $41B . Prometheus trying to build an artificial general engineer that can help design and manufacture physical products like engines, medical devices, and electronics. So the target areas are hard physical products like jet engines, chips, bridges, medical devices, consumer electronics, aerospace systems, vehicles, and drug design, where design cycles can take years because every idea has to survive physics, materials, cost, testing, and factory limits. Bezos’ jet-engine example explains it well: asking for the same engine with 10% more thrust can become a 10-year engineering program, and Prometheus wants to shrink that “dream-build” cycle by 10x or more. The $6.2B launch funding gave Prometheus a massive starting base, and the new raise says the company likely needs far more compute, talent, and industrial data before it can prove the product. Their $41B valuation shows that frontier AI is becoming less a software race than a compute procurement race. A company with no broadly shipped product can raise $12 billion at a $41 billion valuation because investors are not only funding a model, they are prepaying for the machines that might make the model possible. The scarce asset is no longer just talent or algorithms, but clustered GPUs, power contracts, cooling, networking, and the operational skill to keep expensive silicon busy. They are proof that demand is arriving faster than infrastructure can be built, and that every frontier funding round quietly turns into a future claim on power, racks, GPUs, and uptime.

Microsoft CEO Satya Nadella describes the latest @OpenAI agreement as "the next chapter in what is one of the most successful partnerships and investments our industry has ever seen," adding that @Microsoft has already "roughly 10x'd our investment."

Every IPO in history follows the same script: SpaceX won't be different