When does it make sense for a tradco to decentralize? - It’s very hard. Need a v good reason. - Why would you want to: - Decentralize governance - Decentralize ownership and upside - Can potentially make product or protocol better because you’re getting direct feedback
The last decade showed that questionable business models can subsist for a long time (and even flourish) when capital is abundant. Thirteen years after its founding, Uber is still figuring out how to be profitable: the company’s gross margins actually declined seven percentage points over the past three years, and the net profit margin is -3%.
Polarization and gridlock have become increasingly synonymous with democracy.
This is not for lack of opportunities. Recent decades have seen social movements and technologists develop numerous experiments in more textured, responsive, and participatory forms of collective decision-making. These include participatory budgeting (Cabannes 2004), liquid democracy (Hardt and Lopes 2015), sortition (Gastil 2000; Bouricius 2013; Pek 2019; Fan and Zhang 2020), citizens’ assemblies (Niemeyer 2014; Chwalisz 2017; Giraudet et al. 2022), crowdsourcing (Hsiao et al. 2018; Bernal 2019), and various alternative voting systems (Posner and Weyl 2014; Emmett 2019). A growing field of platforms for online citizen engagement has emerged to facilitate these processes (Stempeck 2020). Yet in even the most advanced applications of technology-enabled governance, from Madrid to Taiwan (Hsiao et al. 2018; Smith and Martín 2021; Tseng 2022), the new mechanisms serve in solely advisory roles; participatory budgeting processes, while more likely to be binding, apply to only small fractions of public budgets.
Governments could be eagerly transforming themselves into the vibrant, creative, networked institutions that the networked world arguably needs them to be, but they are not.
Polarization and gridlock have become increasingly synonymous with democracy.
This is not for lack of opportunities. Recent decades have seen social movements and technologists develop numerous experiments in more textured, responsive, and participatory forms of collective decision-making. These include participatory budgeting (Cabannes 2004), liquid democracy (Hardt and Lopes 2015), sortition (Gastil 2000; Bouricius 2013; Pek 2019; Fan and Zhang 2020), citizens’ assemblies (Niemeyer 2014; Chwalisz 2017; Giraudet et al. 2022), crowdsourcing (Hsiao et al. 2018; Bernal 2019), and various alternative voting systems (Posner and Weyl 2014; Emmett 2019). A growing field of platforms for online citizen engagement has emerged to facilitate these processes (Stempeck 2020). Yet in even the most advanced applications of technology-enabled governance, from Madrid to Taiwan (Hsiao et al. 2018; Smith and Martín 2021; Tseng 2022), the new mechanisms serve in solely advisory roles; participatory budgeting processes, while more likely to be binding, apply to only small fractions of public budgets.
Governments could be eagerly transforming themselves into the vibrant, creative, networked institutions that the networked world arguably needs them to be, but they are not.
SHEIN’s explosion is nothing short of remarkable: SHEIN has grown over 100% every year for eight straight years (!), and its latest private market valuation makes it worth more than Zara and H&M combined.
DAOs will likely become large networks with shared incentives and coordination tools, made up of smaller units (which can still be quite bit) that act in a more directed and centralized way.
The intersection of AI and DAOs - Agent-based modeling is an area of ai research - Similar to governance mapping (which approaches this problem from the realm of economics). - Look at all of the agents in a system and what their capacities and goals are - Use massive simulations to understand the ways that participants could act - Or teach them how... See more