Field-Notes

A Decentralized Autonomous Organization (DAO) is commonly described as a distributed, self-governing organization. In practice, many contemporary DAO toolchains allow organizational formation without requiring direct operational interaction with Ethereum or other base-layer infrastructures. This note does not address tooling or token mechanics. It focuses on structural behavior, analogy limits, and the psychological cost borne by operators. Three Observations 1. DAOs Are Vulnerable to Unstructured Tyranny Decentralization does not remove power; it redistributes it. When role boundaries, escalation paths, and decision authority are underspecified, influence concentrates informally. ...

Observation Across extended interaction with large language models, a recurring pattern appears even in high-quality, technical contexts: logical slippage and over-association emerge despite clear framing and explicit constraints. This is not a failure of intelligence or scale. It is a structural property of how these systems operate. 1. Statistical Prediction, Not Logical Induction Large language models operate as probabilistic sequence predictors. When reading or responding to a text, the model does not evaluate logical validity. It estimates which continuation resembles a coherent or insightful explanation based on prior distributions. ...

This is not about dance. This is a field note on evaluating non-verbal, pre-linguistic social understanding in AI systems. Why the dance floor can function as an evaluation surface for AI understanding 1｜Dance is rhythmic negotiation, not instruction-following In a dance floor setting, interaction is not driven by explicit commands. Coordination emerges through shared rhythm, timing, and fluctuating tension. This interaction mode reflects a class of problems future AGI systems must handle: non-verbal, non-logical, rhythm-driven coordination under uncertainty. ...

Entrepreneurial decision-making differs not only in ambition or speed, but in the structure of uncertainty it must absorb. A useful distinction can be made between chess-like, go-like, and poker-like decision grammars—not as cultural metaphors, but as operational models. Chess operates under conditions of near-complete information. All pieces are visible, roles are fixed, and objectives are explicit. Although tactical complexity can be high, uncertainty is localized and feedback is relatively immediate. ...

In environments where actions carry immediate physical consequences, decision-making operates under conditions that differ fundamentally from abstract reasoning. There is no separation between intention and execution. A decision is enacted the moment it is formed, and feedback arrives without mediation or delay. However, not all physical decision environments share the same structure. Different combat systems cultivate distinct modes of decision-making. For example, striking-based systems such as Muay Thai emphasize range control, accumulated damage, and durability under sustained pressure. Decision-making unfolds through continuous exchange, where timing errors compound gradually and resilience becomes a strategic variable. ...

The concept of the Minimum Viable Product (MVP) is often treated as a universal principle of startup execution. Its actual effectiveness, however, depends on the structure of the decision environment in which it is applied. MVP originates from chess-like environments. These are contexts where objectives are explicit, feedback is rapid, and actions are largely reversible. Under such conditions, a minimal artifact can reliably test a hypothesis, and failure produces interpretable information. ...

This field note explores how “being able to live together” can be expressed as an executable condition, rather than a psychological or cultural claim. This note originates from a recurring question: What does it mean for an existence to be interactive. At the surface level, the question appears technical—about agents, systems, and interaction semantics. At a deeper level, it intersects with a much older constraint: What kind of existence can actually live with another existence over time. ...

Status note This text is written as a vision note. At the time of writing, I am still based in Taiwan. I may eventually live in Europe, or elsewhere. The geography is provisional. What is not provisional is the trajectory described here: AI gradually becoming a participant in everyday coordination, work, and responsibility. When AI Became a Participant I imagine living in an old house by the southwestern coast of Portugal. ...

My engagement with dance did not precede my work in computer science. It came after years of thinking in terms of formal systems, execution models, and computational control. This ordering matters. Social dance — particularly partner dance with explicit leading and following — exposed the limits of output-driven, predictive coordination in a way that abstract agent models could not. In social dance, stable coordination does not emerge from faster inference or earlier decision-making. It emerges from maintaining a shared temporal envelope — a co-semantic session — where neither party collapses the interaction into unilateral control. ...

This field note was written in early 2023, shortly after ChatGPT became widely accessible, at a time when prompt-based interaction was still being actively discovered rather than standardized. Prompt engineering has quickly become a widely discussed topic. Alongside collections of reproducible prompts—tested, shared, and refined by communities—there has also been an effort to provide theoretical guidance for users without a computer science background. It has become increasingly clear that prompting is not a peripheral skill, but a central operational capability in human–AI interaction. ...