We focus on the law of unintended consequences, and how making rules often creates the opposite outcome from the desired results. The analysis starts with the Cobra effect, and then extends to a discussion of the Wells Fargo account scandal, dYdX trading farming, Divergence Ventures executing Sybil attacks, and Federal Reserve insider trading. We touch on the concepts of credit underwriting and token economies, and leave the reader with a question about rules vs. principles.
Decentralized finance is formulating new mechanisms to correct for the pitfalls of liquidity mining, yield farming, and other early token distribution approaches. This is happening both at the level of individual projects like Alchemix or Fei, and at the level of industry wide consolidation through Olympus DAO and Tokemak. We explore where this evolution is going, and potential outcomes. In this first part of the analysis, we look closely at Olympus DAO, the concept of Protocol Owned Liquidity, and whether the economics make sense.
This week we continue the discussion of the shape of DeFi 2.0. We highlight Tokemak, a protocol that aims to aggregate and consolidate liquity across existing projects. Instead of having many different market makers and pools across the ecosystem, Tokemak could provide a clear meta-machine that optimizes rewards and rates across protocol emissions. This has interesting implications for overall industry structure, which we explore and compare to equities and asset management examples.
We look at a recent report from Protos that traces the issuance of USDT to the institutional players in the centralized crypto capital markets. The data reveals the market share of players like Alameda, Cumberland, Jump, and others in powering trading in exchanges. We try to contextualize this market structure with what exists both in (1) investment banking and (2) decentralized finance. The analogies are helpful to de-sensationalize the information and calculate some rough economics.
In this analysis, we focus on Goldman Sachs launching an institutional embedded finance offering within Amazon Web Services, and Thought Machine raising a unicorn round for its cloud core banking platform. We explore these developments by focusing on the emerging role of cloud providers as distributors of third party software, think through some of the implications on standalone fintechs and open banking, and check in on AI company Kensho. Last, we highlight the difference between Web3 and Web3 approaches to “cloud”, and suggest a path as to how those can be rationalized in the future.
