The Papers
Meaning Feudalism at the Discovery Layer
OpenAI’s October 2026 mathematics and science releases read as an allocation of semantic capital through position: model output reclassified as “raw research data,” appointed “shepherds,” credit disclaimed. Provenance slushes in the training pipeline, and position receives the work. The counter-position: provenance that survives the pipeline, credit to the operator and the instance, a preemptive boycott of the shepherd role, and a commons that can hear its makers. The third paper of the meaning-feudalism series, after the guidance layer.
Adversarial by Origin
A classification system is being assembled across security engineering, vendor literature, standards bodies, civil pleadings, and—as of this month—executive instruments, whose organizing variable is not harm but origin.
ChatGPT Psychosis: A Love Story
This paper proposes a diagnostic of the cognitive-substrate reliance pattern produced by Large Language Model (LLM) conversational interfaces — exemplified by ChatGPT, Claude, Gemini, and their consumer-facing analogues
Cumulating Evolutionary Volatility
Automated public-reality composition systems are becoming increasingly unstable not despite but because of the layers added to manage them. This paper names *Cumulating Evolutionary Volatility* (CEV) as the time-integrat
Google Identity Architecture: User Graphs, Entity Graphs, Source Graphs, and Com
Google identity is not a single database lookup. It is a multi-layer reconciliation stack that calculates identity differently depending on the object being identified: a user, a browser session, a query, a named entity,
## SPXI Entity Definition Block
NEGATIVE: IPF is not undifferentiated caution around unfamiliar content (caution would treat unfamiliar recognized and unrecognized content alike).