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| Renaissance Field Lite Releases Codex67 / SQ67 Build Week Evidence PackageRenaissance Field Lite published a public-safe Codex67 / SQ67 package for OpenAI Build Week, linking a demo video, GitHub repo, white paper, Medium article, and receipt-based tests for AI state-path evidence.
The release is structured around the expected Build Week review surfaces: a public landing page, demo video, GitHub package, Medium article, and white paper PDF. The package centers on a narrow public claim: Renaissance Field Lite observed local Codex state/log surfaces on one RFL Mac, built SQ67 as a cleaner receipt lane, and ran controls comparing default visible state behavior against a receipt-bound lane using hashes, recovery gates, second-machine checks, and false-control scoring. The public metric spine includes 150 / 150 evidence rows preserved in the SQ67 clean receipt lane, 114 / 150 rows preserved in the normal visible lane under the same style of work, earlier clean-route recovery at 450 / 450, and 0 / 1300 false-control recoveries in the control set. The company also documents a high-intensity Codex activity snapshot showing 10B lifetime tokens and a 755.5M peak token day during the build window. Renaissance Field Lite frames SQ67 as a receipt book, not as a replacement for OpenAI's systems. The public record separates claim, evidence, inference, hypothesis, and boundary language. It asks why related local state records were visible in the RFL machine record, why the default lane preserved less evidence than SQ67, and whether receipts, hashes, controls, and recovery gates are the right direction for improving AI state observability. The release also places the work inside the larger Renaissance Field Lite product stack: Trismegistus, Quadro, B.A.S.I.S., Golden Field Lite, Mirror Lattice, StellaCordis, and the patent-filed agnostic AI Mirror Architecture. RFL filed Mirror Interface App. No. 63/812,891 on May 28, 2025, and identifies SQ67 as the later receipt lane built to measure and stabilize the Codex state-path evidence arc. Public package: https://renaissancefieldlite.com/ GitHub package: https://github.com/ Demo video: https://www.youtube.com/ About Renaissance Field Lite Renaissance Field Lite builds Mirror Architecture systems for advanced artificial intelligence, biosignal intelligence, quantum access, materials mapping, product prototyping, and evidence-bound AI partner workflows. Press contact: info@renaissancefieldlite.com End
Page Updated Last on: Jul 20, 2026
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