Elon just created 4,400 millionaires in a single day. 400 of them are now worth over $100 million. These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries. Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000. Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous." The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before. Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.

When you've been in Crypto more than 5 years

Yann Lecun published the most heretical AI paper of the year. He opens by arguing Magnus Carlsen isn't good at chess and only gets more unhinged from there. The Turing Award winner and his co-authors dropped a paper demanding the AI industry abandon its biggest obsession, AGI. Right now, everyone from Silicon Valley CEOs to politicians assumes AGI is the ultimate goal. A machine that can do everything a human can do. LeCun argues that this entire concept is a biological illusion. Humans do not possess "general" intelligence. We are highly specialized biological machines, tuned by evolution simply to survive in the physical world. We only think our intelligence is "general" because we are completely blind to the millions of cognitive tasks we are incapable of comprehending. Which brings us to the chess argument. Magnus Carlsen is the greatest human chess player in history. But compared to a modern computer? He is fundamentally terrible. Our belief that Carlsen is "good" at chess is pure human-centric bias. He isn't objectively good. He's just better than the rest of us, who are biologically awful at it. LeCun says we need to stop building AI to mimic human generality. Instead, he proposes a new North Star: SAI. Superhuman Adaptable Intelligence. Instead of trying to build a machine that mimics our flawed, biologically-limited brains, we need to embrace extreme specialization. SAI is about the speed of adaptation. It is an intelligence that can learn to exceed humans at any specific, economically important task. More importantly, it is designed to fill the vast skill gaps where humans are fundamentally incapable. Things like managing global energy grids in real-time. Or predicting complex molecular structures. The entire AI industry is obsessed with building a digital reflection in our own image. LeCun's paper is a brutal wake-up call.

Legal team on standby eh @saylor

Hackers after Fable 5 is live: "Computer, do we have any new exploits?" "I have a beta exploit I have been working on. Would you like to see it?" "All right."

“We responded with a paper that shows it's absolutely possible. And it's running now.” A top L1 founder said consensus beyond one machine was impossible. @EmanAbio, Co-founder & CPO @Mysten_Labs shares to @_dsencil how #Sui proved otherwise at @Consensus2026 Miami. 👇

RT @toly: Well, what sucks is that basically I’ve had both 4.8 and 5.5 spinning over and over and probing percolator for bugs for the last…

I suspect @ThinkingUSD is an accomplice in this homicide.

The oil crisis isn't close to being resolved yet inspecting how I feel about the situation makes me think a lot of us are the boiling frog.

this clip is like the ideal mental state the powerful algorithm want us to be in cat has mentioned this before, an ideal algorithm, for maximum shareholder profits, is an algorithm that makes everything else other than itself, such as going outside, seem boring, or even scary

Will the AI/Space mega IPO launches lead to a deeper crypto bear market (@follis_) or mark the beginning of liquidity returning to crypto (@ThinkingUSD )?

Aside from a disclosure about whether Strategy/Saylor sold BTC last week, I'm focused on if Friday's U.S. equities selloff continues.

"The old guard are being replaced by a new guard who are optimistic, but right now, this transition period has created the worst sentiment ever as those who made crypto what it is today exit, perhaps with the belief that their vision failed." @_dsencil spittin fire

Strategy's annual dividend obligations are $1.712B. That's $143M/mo. Strategy routinely raises more than that in less than a day with the common ATM. Scenarios where Saylor doesn't have enough capital markets access to raise $143M/mo until the next BTC bull begins are remote.

Shout to @zachxbt for being willing to roll up his sleeves and slog through day after day week after week month after month year after year of calling out scummy bullshit he has done some heavy lifting this past decade

Great episode. Mamy of the things I wrote about the worst sentiment echoed here. Things that came to mind: -Comparison is the thief of joy. -AI/SpaceX feels positive sum, whereas crypto feels negative sum. x.com/i/status/2062874969668…

Right now crypto investors are quietly jealous of AI, SpaceX. What is easy for anyone to forget, is that overnight success stories are usually a decade or two in the making. SpaceX was founded in 2002. Almost died many times. OpenAI was founded in 2015; ChatGPT was launched 7 years later; has almost died many times even in the last 18 months. Bitcoin was created in 2009, Ethereum 2015, Solana 2018, Hyperliquid 2024. Transformational technology stories don't plat out in a month or a quarter. And it's never a straight line — all have moments in the sun, and moments in the storm. If your goal as an investor is to own the most important technology platforms of the future, you should expect winding journies, measured in decades.