A classification matrix for interpretive drifts by dominant layer. It helps sort phenomena into a usable taxonomy instead of letting them accumulate as an unordered list.
Archive
Blog — page 7
Paginated archive of Gautier Dorval’s blog.
A matrix for diagnosing interpretive drift by affected layer. It connects symptoms to the layer that is actually being deformed and clarifies which governing response is required.
Authority drift is a jurisdiction problem before it is a wording problem. The article shows how AI extends rule-like signals beyond their legitimate scope.
In post-semantic environments, the main governance problem does not begin at the output layer. It begins in the hidden ordering of meaning.
The article explains the post-semantic shift: AI no longer only reads text, it can decide through it and exceed it.
AI simplifies e-commerce prices and options in order to answer quickly. The article shows why that convenience produces systematic error.
Options and exceptions are exactly what AI tends to erase in pricing interpretation. The article explains why governance is required.
Professional services are often rewritten as universal expertise. This article explains how perimeter dilution turns adjacency into authority.
On a public surface, an AI-generated answer can be perceived as the organization’s official position even when no internal authority has explicitly validated it.
In public services, AI often compresses procedural eligibility into binary truth. The article shows why that move is structurally dangerous.
AI crawl logs help reveal what the system is trying to stabilize. The article explains why revisits matter for interpretive diagnosis.
Recruitment risk begins when AI infers criteria that were never declared and turns them into silent selection logic.
Weak signals can frame an answer more effectively than the official source. The article explains how reputation and recurrence displace authority.
A few reviews or mentions can outweigh stronger canonical material if they are easier for the system to reuse in synthesis.
AI often collapses several roles into one authority figure. The article explains why role confusion changes legitimacy, not just wording.
A SaaS promise drifts when adjacent possibilities are rewritten as stable functionality. The article shows how perimeter expansion becomes public truth.
SaaS interpretation drifts when integrations are rewritten as native functions. The product perimeter expands without authorization.
Pricing plans are easily mistaken for product capabilities. This article shows how commercial packaging redefines the interpreted product.
AI often reduces SaaS to one memorable feature. The article explains why that compression damages the value proposition.
Reducing on-site / off-site contradiction is not a polishing task. It is a precondition for stable interpretive reconstruction.
Interpretive smoothing turns nuance into a stable but flattened answer. The article explains why compression standardizes meaning before anyone notices the drift.
A source hierarchy organizes interpretive conflicts by classifying the relative authority of canon, editable surfaces, non-editable surfaces, and obsolete archives.
FR/EN variants can average out meaning under AI synthesis. The article explains why bilingual duplication requires governance, not just translation.
Semantic proximity can create fictitious expertise. The article explains how an entity becomes the “default expert” without canonical authorization.