đź’ˇThings I Have Been Thinking
- The Convex vs Concave Debate about Decentralization: one of the things I have realized about the world is that most problems/challenges/debates can be viewed as a battle between convex and concave philosophies. If you aren’t familiar with these concepts, a concave pov is when someone tends to think that non-extreme (something in the middle) solutions are the best while convex theory promotes a binary way of thinking (this is the only solution). An area that the convex vs concave pov applies very well is that of decentralization. I work in an industry that is obsessed with decentralization and this is one of the reasons I love working in crypto. But nature/history/personal experiences show that an obsession with decentralization can often lead to slow decision making, inaction and chaos. There is a deep biological tendency to work collectively and in a decentralized way (think of cells inside an organism) but there is also a natural urgency to act/decide fast in a very centralized fashion. So how can we build an agile and adaptive model to use Minimum Viable Centralization (MVC) without succumbing to the challenges of centralized concentration of power? How can we learn from nature/biology where organisms often use very centralized decision overruling decentralized systems for the greater good of the whole? So far, the framework of quadratic voting/funding seems to be a well-thought approach to this problem. There is also a deeper philosophical question that arises from this debate. Should we judge the “whole” for the actions of one of its “units”? Or does each unit have its own existence/decision making progress/entity? In real terms, should we judge/cancel/criticize a political party/media organization for the bad/unethical actions of one of their candidates/journalists?
- On Technological Parasitism: this is something I have been monitoring on a daily basis in terms of how Web2 and Web3 influence one another. It was recently reported that the New York Stock Exchange is considering to open up 24/7 trading as a way to adapt to the always on nature of the crypto economy. Most people, including Uniswap’s CEO, encouraged this and perceived it as a sign of the “traditional world” adopting crypto practices but I am bit more pessimistic. I see this as a form of parasitism (in that case Web2 being the parasite) where the traditional world copies the best ideas and maybe some tech primitives from Crypto but not the core ethos/values of decentralization. If that happens, then we end up in the worst equilibrium where major corporations keep harnessing power/revenues and they can still communicate they “transformed”.
- On HyperStructures: Since the moment I first read about the concept of hyperstructures, I have been fascinated with them. In its literal sense, a hyperstructure is an algebraic formula but in the context of networks, a hyperstucture is an open, permissionless and expansive protocol that runs on a blockchain and is coordinated by cryptography. The analogies with ecologies and evolutionary biology are numerous. At first, I realized that GenAI will enable us to build entrepreneurship hyperstructures where builders will build rails for other builders and so forth and so on (the inspiration was Shopify’s announcement of Sidekick). But in a Web2 environment, you still have some closed doors/permissions/moats that don’t allow the ecosystem to grow organically. But this isn’t the case with blockchains. Lens or Farcaster are open protocols on top of blockchains that can grow exponentially allowing anyone to build their apps on top of them, the protocol teams can build modular “rails” to make app creation easier and apps can form new added value when they connect with each other. They are positive sum infinite games and we never had something like that before. The coolest thing about them isn’t only their expansive nature but also how they can change the behavior of static players. For example, we now see more and more VCs launching OSS products to kickstart the flywheel of app building on top of hyperstructures. a16z Jolt is a great example.
- Tech/Political Ideologies: still debating myself about Thiel's famous analogy AI=communist/Crypto=libertarian. The analogy that seems to work for me at the moment is: AI=mercantilism, Crypto= classical liberalism (democracy+capitalism+meritocracy), ZK=libertarianism. Glen Weyl’s post on 21st centuries political ideologies is still a must-read. For people who are interested in what framework is the closest to my political beliefs, I highly recommend reading the Power-Sharing Liberalism manifesto. I look forward to a future with more plural political ideologies that don’t fall in the trap of Left/Right but rather create a new worldview through an ongoing and dynamic deliberation of their constituents.
- On Procrastination as a Competitive Advantage: Procrastination has a bad name but it can unlock amazing alpha if you accept it and convert it into an intellectual serendipity and combinatorial thinking enabler. I have found the skill of “staying informed in different fields/disciplines” to be one of the most important pillars in my career. Staying informed and developing combinatorial thinking gives you an amazing edge if you are working in Strategy/BD roles. Many people conflate "staying informed" with unproductive procrastination and twitter scrolling but, at least in my experience, it's a skill that requires constant optimization (information diet) and rigorous planning (when to read, where to store info, taking notes etc). It took me many years to understand that "staying informed" is a competitive advantage and I was happy to see Josh Wolfe (Lux Capital) and Haseeb Qureshi (Dragonfly) recently sharing their stories on how procrastination has actually helped them stay on edge and I am now convinced that we have been fooling ourselves for years. Procrastination is good. You just have to embrace it!
- The concept of collective intelligence:
- I have written in the past that Michael Levin is one of the most fascinating scientists out there. His latest paper argues that intelligence doesn’t have a narrow, specific definition (as we tend to believe) but it’s rather a concept of collective decision making between competent sub units. If you don’t like reading papers, his Noema article is a great summary of the basic findings.
- Sakana AI, a Japanese GenAI startup developing nature-inspired LLMs. Their latest research proposes an evolutionary approach that automatically discovers effective combinations of diverse open-source models, harnessing their collective intelligence without requiring extensive additional training data or compute.