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Pioneering Portfolio Management: An Unconventional Approach to Institutional Investment, Fully Revised and Updated
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the Collective Intelligence Project (CIP), Anthropic's recently released Claude3 model, considered by many to be the current state-of-the-art in GFMs, sourced the constitution used to steer model behavior using Polis.
Audrey Tang • ⿻ 數位 Plurality: The Future of Collaborative Technology and Democracy
Later I found out that Markowitz himself knew the same thing: Ironically, when he invested the money from his Nobel Prize, he used a portfolio with equal weights to pick a few of his favorite stocks rather than the formula he received the prize for discovering.
J. Doyne Farmer • Making Sense of Chaos: A Better Economics for a Better World
“experts”?), you need to put a portion, say 85 to 90 percent, in extremely safe instruments, like Treasury bills—as safe a class of instruments as you can manage to find on this planet. The remaining 10 to 15 percent you put in extremely speculative bets, as leveraged as possible (like options), preferably venture capital–style portfolios.*42 That
... See moreNassim Nicholas Taleb • The Black Swan: The Impact of the Highly Improbable (Incerto Book 2)
The economy is not a closed static equilibrium system; it is a system perpetually open to novel behavior, and complexity economics forces us to keep this in mind.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
Derivatives: A Story of Financial and Environmental Innovation
J. Christopher Giancarlo, Cameron Winklevoss, • CryptoDad: The Fight for the Future of Money
a subject of active development is how systems like Polis and Community Notes could be extended with modern graph theory and GFMs.
Audrey Tang • ⿻ 數位 Plurality: The Future of Collaborative Technology and Democracy
The big advantage of physicists—I think Doyne Farmer may have once said this to me—is not what they have learned, the tools. It’s how they have learned to think. In particular, physicists are quite good at being very, very broad, taking tools from all over the place. That is something that economists are very, very remiss in. It is a b—tch to try
... See moreW. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
We could model agents who had disparate ideas or hypotheses about the situation they were in. They could base their actions on these, and learn which hypotheses worked and which didn’t, getting smarter over time.