The Hidden Map That Changed Everything
In Anyndria, the flow of societal evolution is mapped.
Cartographers responsible for mapping planetary synergy flows discover that the sharing of part of the evolutionary map was discreetly hidden from the population.
The revelation triggers outrage and a heated debate about ethics and responsibility.
"What are our ethics?" they question each other, aware of the gravity of the situation.
A group decides it's time to act. They organize an open assembly, involving the community and the AI Smart Government in the discussion.
"We need to reconfigure the parameters of radical transparency. And monitor its execution," they affirm during the event.
Proposals begin to emerge, and new ideas for collaboration and transparency surface.
Driven by determination, the evolution cartographers, the community, and the AI Smart Gov create a new map that not only reveals the hidden flows but also opens a new space for research, development, and innovation focused on the constant improvement of human + AI + natural ecosystems' potential flourishing.
Anyndria transforms into a model of how transparency, collective participation, and Human + AI collaboration can reconfigure projections of shared futures, reshape narratives that propel the development of new sociotechnical arrangements, as well as reimagine and calibrate the attribution of values to what truly matters.
In Anyndria, the evolution of a society is seen as the evolution of a complex system's behavior over time, which involves pattern changes at multiple levels.
On planet Anyndria, society is viewed as a Complex Adaptive System (CAS), fundamentally composed of:
1. Heterogeneous agents, who:
- interact with each other
- adapt,
- operate at multiple time scales and amplitudes (people, groups, companies, governments, algorithms, infrastructures…)
- navigate through processes of self-organization, coevolution, and collective learning, regulating their behaviors based on
2. Formal and informal rules (laws, cultural norms, beliefs, habits, economic incentives, technology).
The functioning of this sociotechnical system (set of interactions among actors) generates emergent patterns, such as inequality, polarization, innovation, violence, cooperation… that feedback into and transform the system's own rules.
In this sense, social evolution can be understood as the change in these emergent patterns, as well as in the rules that produce them.
But how, exactly, did the cartographers ignite the engines of social evolution?
To understand Anyndria's transformation, we need to look at the invisible mechanics that govern any society, including our own. They acted on four fronts:
a) They experimented with designs of new reinforcing and balancing cycles
- Reinforcing: "the more, the more"
Ex.: Greater investment in innovation → Greater knowledge generation → Greater development.
- Balancing: "the more, the less"
Ex.: Increase in crime → social pressure → security policies → crime reduction (if they work).
In Anyndria: The cartographers identified that the map's concealment had created a destructive loop: less transparency → less trust → more control → even less transparency. By making the flows visible, they broke this cycle and activated a new reinforcing loop: radical transparency → collective participation → system refinement → more transparency.
The evolution of a society is largely the story of how new loops emerge, strengthen, or break.
b) They considered stocks, flows, and delays with greater precision
- Stocks: things that accumulate
Ex.: wealth, debt, knowledge, trust, resentment, environmental degradation.
- Flows: what increases or decreases these stocks
Ex.: good education increases knowledge.
- Delays: the time between cause and effect
Ex.: environmental decisions today → strong impacts decades later.
In Anyndria: The stock of institutional trust was dangerously low when the concealment was discovered. The cartographers realized it wasn't enough to just reveal the data; they needed to create continuous flows of co-creation (the open assembly) to replenish this stock. And they understood the delay: the benefits of transparency would take time to manifest, but the outrage was immediate. Therefore, they acted quickly to prevent the system from collapsing before positive effects could emerge.
Societies "evolve well" when they can perceive and adjust flows before stocks reach critical levels (institutional collapse, ecological collapse, war, etc.).
c) They simulated trajectories drawn over decision pathways
Interventions in social systems open/alternate possible futures.
- Institutional decisions (constitutions, property models, attention flow design).
- Technological decisions (centralized vs. distributed, open vs. closed).
- Cultural decisions (what is acceptable, what is taboo, what is admired).
In Anyndria: The society had inherited a historical track where experts decided what the population should know, a path dependence from previous eras. The decision to reconfigure the parameters toward radical transparency wasn't merely technical: it was a track deviation, opening a trajectory where Human + AI co-governance becomes the new normal. This bifurcation created a point of no return; going back to opacity would now be a regression.
And over time, decisions like these create "tracks," possible to change but requiring greater effort. Social evolution, then, is also the process of entering and exiting historical tracks.
d) They deepened studies on the change of narratives and mental models
- Mental models shape:
- what we perceive or ignore
- what we accept or contest
- how we vote, consume, cooperate
When dominant narratives change (about work, freedom, technology, nature, money), society changes mass behaviors, and this reorganizes structures.
In Anyndria: The old narrative was: "Some data is too complex for the public; experts must filter." The new narrative that emerged was: "Complexity belongs to everyone; shared maps generate superior collective intelligence." This mental model shift transformed the AI Smart Government from information gatekeeper to facilitator of collective sensemaking. Without this narrative turn, the mere release of data would have been seen as chaos, not empowerment.
Without mental model change, many social systems remain stuck in old patterns, even with new technology.
This vision leads to the perception that it's not possible to "control" social evolution like fixing an engine, but that one can "influence" the system:
- by altering interaction rules,
- by strengthening beneficial loops, and
- by dampening destructive ones.
That was exactly what Anyndria's cartographers did: they didn't impose a top-down solution but created the conditions for a healthier pattern to emerge from collective self-organization.
In this context, evolution is not understood as a straight line toward "progress," but as a continuous and unpredictable dance of interconnections, adaptation, chaos, and ongoing self-organization in response to internal and external pressures.
Thus, by focusing on facilitating self-organization rather than control, Anyndria's cartographers map and monitor synergy flows, creating incentives for development to flourish.
What about your reality?
Which loops do you identify, and which would you like to redesign?
Anyndria continues evolving each week...
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Thanks for being here.
See you next Tuesday,
Hèrmàn
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P.S. If you ever want to look back at where we started, [all previous issues are here].
