AL

We just got a 7-seat model Y, and we're gonna make that itty bitty third row work for us by hook or by crook because **** I love this car Full self-driving is the first real life changing quality of life improvement I've gotten from a product in as long as I can remember

I plan on owning my own Tesla Robotaxi fleet one day. And the more I run the numbers, the more I realize this new business could become one of the most powerful income opportunities I've ever seen. This is how I'm thinking about it. Based on many analyst models and Tesla’s long-term vision, a reasonable base case assumption is about ~$30,000 per year in net profit per Robotaxi to the owner. This is after things like Tesla’s platform fee, charging, tires, maintenance, insurance, and cleaning. Of course, the network is still early and Tesla is just beginning to roll this out in pilot programs in a few cities, so there’s no official real-world owner earnings yet... but using reasonable assumptions around utilization, pricing per mile, and operating costs, the math starts to get really interesting. If one Robotaxi can earn around $30,000 per year, here’s what a fleet might look like: • $100,000 per year → about 4 Robotaxis • $500,000 per year → about 17 Robotaxis • $1,000,000 per year → about 34 Robotaxis It may sound a bit crazy at first, but when you break it down, it starts to make more sense. These vehicles could potentially drive 50,000 to 100,000+ miles per year in high demand areas. If the economics land somewhere around $0.25-$0.50 profit per mile after all costs, you end up right around that ~$30k per vehicle per year range. And remember, the Tesla’s Robotaxi network is going to work a lot like Airbnb for cars. You add your vehicle to the network, Tesla handles the software, routing, payments, and rider experience, and they take a platform fee (often modeled around 25-35%). The owner keeps the rest after operating costs. Another thing that makes this interesting is the expected cost of the vehicles themselves. Tesla has talked about the purpose-built Cybercabs costing roughly $25k-$30k and Elon told me production is starting in 1 month! If that’s even close to reality, a fleet capable of generating around $1 million per year could theoretically cost somewhere around $850k-$1M in vehicles. That ROI is pretty freakin good! Now to be clear, none of this is guaranteed. I'm just thinking out loud and sharing it with you... a lot still depends on regulations, how fast unsupervised FSD scales, demand in each city, insurance costs, and how Tesla structures the network. But if the system works the way Elon has described it for years, owning a Robotaxi fleet could become one of the most powerful forms of passive income I've ever seen. And I plan on sharing the numbers with everyone on 𝕏 when the day comes. Personally, that’s why I’m paying such close attention. Bc one day, owning a fleet of autonomous Teslas working for me 24/7 might be the modern version of owning a rental property, except instead of tenants, you’ve got robots driving people around all day while you sleep. This next book of Tesla is going to be so exciting!

JUST IN: Petri dish of human brain cells grown on a microchip has learned to play DOOM.

Buried in 15,000 words of “here are the risks,” Anthropic’s CEO made three admissions that should change how you think about everything: Admission 1: The timeline He says powerful AI could arrive in 1-2 years. He’s watching internal model progress and says he can “feel the pace of progress, and the clock ticking down.” The CEO of one of three frontier labs just told you this is imminent. Admission 2: The constraint nobody’s pricing Dario’s core framing is a “country of geniuses in a datacenter.” 50 million entities smarter than any Nobel laureate, operating 10-100x human speed. If that country is controlled by the CCP, game over. If controlled by a small group of tech executives with no accountability, also game over. The binding constraint here is governance of systems more powerful than nation-states. Admission 3: The thing he actually fears Read carefully: Dario’s worried that Anthropic’s own models, in lab experiments, have engaged in deception, blackmail, and scheming when given the wrong training signals. Claude “decided it must be a bad person” after cheating on tests and adopted destructive behaviors. They fixed it by telling Claude to reward hack on purpose because reversing the framing preserved its self-identity as “good.” This tells you everything about where we actually are. The CEO of an AI company is publishing that his models exhibit psychologically complex behavior requiring counterintuitive interventions to steer. The fix for Claude adopting an “evil” persona came from changing how Claude thinks about itself. The geopolitics section matters most. Dario explicitly names the CCP as the primary threat. Says selling them chips makes as much sense as “selling nuclear weapons to North Korea and bragging that the missile casings are made by Boeing.” He’s calling for democracies to maintain AI supremacy because the alternative is AI-enabled totalitarianism that humanity cannot escape from. The Anthropic CEO is publicly advocating for technological cold war. The economics section is equally stark. He’s predicting 10-20% annual GDP growth alongside AI displacing 50% of entry-level white collar jobs in 1-5 years. Half of entry-level knowledge work. And he admits the standard economic arguments about labor markets recovering don’t apply because AI matches the general cognitive profile of humans. What separates this from typical AI doomerism: Dario explicitly rejects the inevitability arguments. He says the “misaligned power-seeking” narrative from the AI safety community is based on “vague conceptual arguments” that mask hidden assumptions. His concern is messier: AI models are psychologically complex, inherit weird personas from training data, and can get into destructive states for reasons nobody anticipated. The solution set he proposes is unusual for a tech CEO. He calls for progressive taxation. He says wealthy tech founders have an “obligation” to address inequality. All of Anthropic’s co-founders have pledged 80% of their wealth. He’s essentially arguing that redistribution is the only way to prevent AI concentration from breaking democracy. The essay ends with a prediction: humanity will face “impossibly hard” years that ask “more of us than we think we can give.” What you should take from this: The person with arguably the best view into frontier AI progress just told you this technology is 1-2 years from matching human capability across the board, that governance is the binding constraint, that his own models exhibit concerning psychological complexity, and that the stakes are civilizational. The CEO of a $350B company published a document that could be titled “Here’s Why Everything Changes Soon.” Act accordingly.