Open source made source code inspectable, modifiable, redistributable, and forkable under declared licenses and social institutions. AI coding agents change a different variable: the volume, speed, and reach of proposed transformation. When generation, dependency choice, shell execution, build mutation, and deployment occur through tools with broad ambient access, source visibility alone does not reveal who authorized an effect, which constraints applied, or whether the transformation can be reconstructed and refused. Jnana proposes a constitutional transformation substrate for this problem. AI is treated as a proposer rather than an authority. Proposed changes are represented in governed intermediate form, evaluated under versioned law, lowered through admitted transformation machinery, mediated at effect boundaries, and bound to receipts. Refusal, deferment, branch, rollback, and recovery are legitimate outcomes. This paper presents Jnana as a possible extension of open-source sovereignty, not a replacement for Linux, Git, maintainers, review, testing, licensing, or community governance. It turns "open power" into specific requirements: inspectable authority, bounded capability, reconstructable transformation, portable governance, provider exit, visible exceptions, and negative power. It also states the assurance boundary. An AI cannot execute arbitrary system effects only if every relevant path is isolated or mediated; deterministic replay exists only under a declared environment closure; hardware sovereignty extends only to the verified hardware and firmware boundary. The paper integrates Jnana, Jnana II, MCIR, Governed Agentic Coding, Governance Coverage Gaps, GMB, and the universal GSM into an incremental adoption program. No implementation, containment result, Linux integration, hardware proof, or publication authority is claimed.
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Adam Ableman (2026) studied this question.
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