Giulio Sighieri

Sensitive Young Men have exactly two moods

Elon Musk can you please form a country? I am not optimistic about what is going on in the world. Let’s form a country that focuses on technology, future and the truth.

I saw the worst of you And I still chose you

Watch Episode 1 of our Odyssey series made with Grok Imagine. Let us know in the comments if you'd like a full breakdown of how it was done! Creative collaboration with @WonderStudiosX and director Dev Walker @glumlot_

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NEW - Musk invests about $1 billion in David Ellison's Skydance Corporation.

Peter Thiel has a blunt test for whether a startup team is thinking clearly. Watch how they talk about their own outcomes. His observation: when founders start framing results as luck — "maybe it works, maybe it doesn't, so let's just invest a little and see" — that's not prudent risk management. That's a diagnostic failure. The mechanism is specific. Luck-framing doesn't emerge from humility. It emerges from not having done the analytical work to understand *why* your business will win. If you've truly mapped the competitive dynamics, the customer psychology, the timing — you don't describe the outcome as a coin flip. You describe what needs to be true and why. The portfolio mindset ("let's see what happens") is what you default to when you don't have conviction built on evidence. Thiel's sharpest version of this: the founders of Google, Amazon, and Apple in their early days weren't operating on hope. They had specific theories about why they would win that others couldn't see yet. Bezos mapped out why e-commerce would scale through selection and logistics before the market existed. That's not luck-denial — that's rigorous foresight presented as conviction. When a founding team tells you "we'll figure it out," the question isn't whether they're optimistic. It's whether they can articulate the actual mechanism of their advantage. If they can't, the luck framing isn't a personality trait. It's a capability gap. Blaming luck is what you do when you've stopped thinking.

/study-book I had claude write me a 519-page textbook on neural networks. Not a summary: a whole book covering at good depth all the fundamental knowledge in NNs. It's an open-source skill. Inspired by @calebfahlgren's recent post, I wanted to learn anything with material made exactly the way I want it. You tell it what you want to learn, pick a depth from 0 to 5, and optionally give it your own sources: slides, notes, etc... It plans the book, you approve the plan, then: → one writer agent per chapter → auditor fact-checks every chapter → "student" agent reads it and flags where it got lost → a final review of the whole book Then a typesetting engine I built turns it into a real book: justified text, figures, cross-references, glossary, index. The result: 403 of 403 topics covered, every number computed by a script, every quote checked against its source. By being a passionate learner, I'm more excited than ever before! You can find the skill and engine in the comments! Video by Opus 5.5 PS: is quite token hungry!

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There's nothing more dangerous than weak men and weak institutions. It's a provocation that'll eventually be answered by predators. Not all swords should be turned to plowshares.

AI labs won't stay software companies. They're becoming the core infrastructure for high-value domains, compressing discovery cycles in biotech and expanding into coordination and execution layers. Abundance is coming... it's only a question of time.

America innovates 🇺🇸 Europe regulates 🇪🇺 Made in 46 hours by 135 agents. 8,624,565,970 tokens · 910 images · 261 clips

Please make a list of everything that she finds annoying or confusing! We can fix everything.