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👛 Tokenized natural assets, predictions, and talent; capital is governance; synthetic media; world-building; beware of tight feedback loops

olli
olli
Hey friends! 👋
Last week, I wrote that crypto is not an asset class but all asset classes. Today we’ll dive deeper into that claim + some.
🌲 Crypto is not an asset class, but tokenized natural assets are. Tokenization reduces the risk of double-spending, increases access to global markets, enables asset use as collateral, and opens markets for 3rd party quality verification.
📈 Crypto is not an asset class, but tokenized predictions are. Betting on future events (e.g. “Who will win the election?”) will turn information markets into a more accurate, more efficient, and more reliable predictor of the future than experts or institutional credentialism.
🧗 Crypto is not an asset class, but tokenized talent is (timestamp: 22’’10). For example, crypto could enable students to tokenize their future income streams instead of taking on student debt.
🎛️ The bottom line is: more bottom lines. Beyond financial capital, blockchain will unlock many new forms of capital by collapsing the cost of measurement, trading, and distribution. This excellent interview featuring Joel Monegro (Placeholder VC) digs deep into what capital & governance are (hint: they are the same thing) and how crypto-enabled instruments will transform how we manage them.
And then the “some”:
🦄 Old Media enabled mass distribution for a select few through TV, radio, and print. New Media enabled democratized distribution for everyone through social media. The next step is AI-enabled Synthetic Media that will democratize media creation and creativity for everyone.
🗺️ Don’t tell stories. Instead, build a world around your idea “that is so rich and captivating that others will want to spend time in it, even if you’re not there”. This advice by Alex Danco has permanently changed the way I view communication, company building, and communities - as sides of the same n-sided coin called “world-building.”
➰ Narrative violations are electrifying — especially when they are true. Brian Lui suggests tight feedback loops are useless when optimizing for mastery and shares his ideas on what to do instead. Major implications for investing and building products.
Have a fantastic week! 💪
Olli
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olli
olli @olliten

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