A company or a country is sometimes talked about as one living system. That metaphor was the question. The sources below do not support it. The practical question is how to initialize a swarm. For a fixed group of 48 agents, what mix of roles should you start with? Who specializes, who stays broad, who coordinates, who communicates, and how do you promote, if the score is either discovery or revenue?...
In this toy, the harness evolves first while the brain is primitive. Past a capacity threshold the brain takes over. A greedy brain that edits the tool it thinks is worst can lock in a worse limb than blind selection keeps. This is a synthetic evolutionary simulation, not a user study and not a test of a real language model. The controller is a small lookup table. Code, protocol, and the raw series: dylanler/harness-vs-brain....
People call a place a hidden gem when it is good and still obscure. A best-of list, a chain, or a crowd repeating the same tip is what ends the label. An ugly room, cash only, and a non-English menu are how people search. They are not proof. This note turns that observation into a score, then checks the score on a synthetic swarm. It is a design, not a fit to restaurant ratings, and not a user study....
Reactive agents wait for you. Calendar apps fire on fixed clocks. This note proposes a middle path: give every memory an attached value function \(V_i(t)\). A clock tick recomputes values. When a memory’s value crosses a threshold — with hysteresis so it does not chatter — the agent may send you a short proactive message. The distinctive piece is an oscillatory revival term on top of ordinary exponential decay. Dormant but still-important memories periodically become candidates again (“I’ve been meaning to bring this up”), without requiring a user query and without nagging every hour....