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Project Faraday (Sitting in The Park)

Meenvailli, Dhiraj
PhilArchive · Papers
Open Source ↗
philosophy
Project Faraday proposes a new primitive for science and knowledge work: GitHub for Reality. Instead of storing fields as scattered papers, inherited assumptions, and slow-moving consensus, Faraday turns every field into a forkable, version-controlled map of reality. Each field is organized from its anti-death survival utility outward: why the field exists, what kind of suffering or collapse it prevents, what assumptions it depends on, what models it uses, where those models fail, and what better actions they enable. The core argument is that many failures in science, economics, policy, education, medicine, and governance come from hidden assumptions traveling too far beyond their circle of competence. Project Faraday treats anomalies not as embarrassments or noise, but as valuable “ore” that tells us where the map and reality have diverged. A user can check out an assumption, fork it, replace it, run a correspondence project, and test whether the new map preserves what the old model got right while explaining more, patching less, and cashing out in better action. The whitepaper lays out the philosophical foundation, protocol structure, governance logic, incentive case, and a worked economics example showing how a field could move from utility/profit assumptions toward a desire, problem-solving, and structural-safety framework. Its broader claim is that civilization needs infrastructure for correcting bad maps at internet speed, because in tightly coupled systems, as the current global exists and will likely continue to exist bad assumptions no longer stay local, but rather manifest as cascading failures. The point is that we can no longer wait decades or centuries for Science to catch up to Reality, Pandemics, Global Depressions, Nuclear Devastation, or Ecological Collapse are too real as risks for the world to absorb without risking collapse. If built, Faraday-class systems could become a new market category: tools for making science, policy, and institutions more corrigible, less fragile, and more aligned with reality.
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