LSI tracks one claim:
AI governance constraints that operate in the same logical layer as the systems they govern cannot verify their own execution.
Every post on this site tests that claim against a new development — a research paper, a regulatory move, an incident, a product launch. The question is always the same: does this event confirm, refine, or challenge the thesis? The accumulation of these tests, week after week, is the publication.
Why This Claim Matters
The major AI governance frameworks — the EU AI Act, NIST AI RMF, ISO/IEC 42001 — share a structural assumption: that software-based monitoring can reliably constrain AI behavior. LSI argues this assumption has a logical boundary. A monitoring process that runs in the same computational layer as the system it monitors inherits that system’s failure modes. It cannot independently verify what it cannot independently observe.
This is not a policy critique. It is a constraint identification — the kind of problem that, once seen, reframes every solution built on top of it.
What LSI Is Not
LSI is not a research institute, a think tank, or an academic journal. There is no editorial board, no peer review process, no institutional affiliation governing what appears here. It is one person’s disciplined, ongoing argument — maintained in public because the speed of AI development demands real-time analysis that traditional publication cycles cannot deliver.
The Claim Is Not Hypothetical
The author has developed a physical-layer governance architecture that addresses the constraint LSI identifies. This work is protected under PCT application GA26P001WO. The architecture itself is not described on this site — that disclosure follows its own timeline through the patent process and, subsequently, peer-reviewed publication.
What LSI demonstrates, through its running commentary, is
why such an architecture is necessary. Each post is evidence, not advocacy.
Who Writes This
Yoshimichi Kumon — an MIT Sloan/CSAIL alumnus, visiting researcher at Waseda University’s Business Finance Research Centre, and director of Pensée Sauvage Ltd. (Malta). His background spans technology management, management accounting, and AI governance. Full details are on the
Organizer page.
