Yang Fan 范阳
@Yang_Supertramp
A founder, invest & build @ Capital O ❤️🤖🧬🌍🐳🧘🎨Founded ELSEWHERE(China’s Airbnb x Wework). The Explorers Club member,once searched for Genghis Khan’s tomb.
1. Cheap & Clean Energy —> Synthetic Biology + Precision Fermentation —> recreate natural resources and materials —> Renewable materials + everything —> a responsible and abundant future 2. Cheap & Clean Energy —> Super Computers —> AGI —> More scientific breakthroughs
“In the Jackpot Age, growth is fueled by farming fellow man.” In a world increasingly obsessed with coin flips, those who build and invest in people/things that create long-term value are the true venture class of our time. scimitar.capital/p/the-jackpot-…
Love this poem by @havehadhavehad . I’m trying to understand the difference between Plato and Kant. Thing-in-itself ? All absolutes aren’t real. We patch truth from appearances, and somewhat lose what can’t be “modeled”: love, wild minds, diversity, the living world.

The world feels like a big loop: Make games: actually building AI Build AI: you’re doing science Do science: it’s really just econ. Study econ.: philosophy in disguise Talk philosophy: you’re in media Run media: basically quant trading Do finance: somehow you’re back to games

“idea is cheap, show me the code” —> “code is cheap, show me your thinking”

Before founding DeepMind, @demishassabis was a game designer. Jensen Huang’s foresight with CUDA was redirecting parallel computing circuits originally built for video games toward use by scientists. Not the other way around.

China's tech playbook is all about making “advanced things” faster, cheaper, and ultimately better. But path dependency is real too. What really fascinates me is how to push non-linear ideas and edge exploration in science, while turning new knowledge into economic value quicker.
the Scientific Intelligence Context Protocol (SCP) along with automated dry-wet labs. For human scientists & researchers more broadly, staying ahead of the future scientific value chain will be scientific intuition and the ability to ask cross-disciplinary “outlier” questions.
Just learned this Latin phrase. Sapere Aude: “dare to know”, but also “dare to taste and dare to feel.”
Philosophiæ Naturalis Principia Mathematica —> Philosophiæ Naturalis Principia Cognitionis
Scarcity always chases scarcity. Love, resonance, trust, unreason, reason, consensus, truth, what is truly scarce?

Great read. Reminds me of “Life is not measured by the number of breaths you take, but by the moments that take your breath away”
Where we choose to place our attention in the next minute might be the most important investment we make today. The ubiquitous investing.
The new science system should be built to embrace failure and encourage deviation, creating an ecosystem where exploring the edges is not just allowed, but essential and highly rewarded.
AI’s current success may lie in its freedom from “time debt”, both success and failure simply map the size of the exploration space. For humans time is limited, every failure becomes a debt, and “the information” behind it is often discarded. AI might help reshape the culture.
really enjoyed this essay, it captures a lot of the issues that broadly plague science and puts them in simple terms these issues are only amplified in biology where the timescales are far longer and the rewards less evenly distributed
I think NYC is gonna be fine, but will San Francisco become the next Detroit?
What a perfect metaphor for our economy! Mark Zuckerberg shared an illustration of Meta's Hyperion Data Center covering a big chunk of Manhattan. In reality, Hyperion is not being built in New York City, but Zuck used the island to illustrate the scale of the project. The…
Frontiers are the only exits. With a coastline in mind, we stop seeing only battlefields.
Good summary of the struggle at seed, from @robgo. I would frame all this with one simple observation: Seed VC needs to break away from the industrial-scale funding of "obvious" opportunities. It's not the real purpose of venture capital, and it has only ever been bad for…