Oct 2026· Zenodo (CERN European Organization for Nuclear Research)· 1 citation· 1 references
Law, AI, and Intellectual Property
Abstract
A position paper arguing that closed source has failed as a protection, for science first. Large language models now decompile binaries into re-executable source; black-box queries extract parts of production models; distillation copies capabilities at industrial scale; and the largest 2026 trade-secret dispute in artificial intelligence, Apple's suit against OpenAI, turns on people, laptops and recruiting rather than on code that stayed secret. Against this background the paper revisits Linus Torvalds' Linux and Git as evidence that openness scales, and the author's closed undergraduate thesis as evidence of what secrecy costs a researcher. It argues that the ethical answer to universal reverse engineering is professional citation, proposes three rules for AI agents (borrow, cite, propagate), and describes Paper Fabric, the open pipeline in the Ouroboric style that produced it. v0 is a preprint and has not been peer reviewed. This record holds the source of the paper at the release tag: the Markdown text, the build and the agent configuration. The rendered PDFs are attached to the GitHub release of the same tag.
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