Model Collapse and the Value of Net-New Human Knowledge
TL;DR Model collapse is a real result about a training regime almost nobody operates. It requires each generation to replace...
Citation in the Age of AI Slop: Standing Out When Everyone Publishes at Scale
TL;DR The flood arrived and the citation layer held. Roughly half of all new articles are now machine-written, yet 86%...
The Trust Graph: How Engines Will Weight Verified Sources in 2027
TL;DR A graph moves weight along edges. Verification is a property of a node, so the most it can ever...
Provenance-Backed Original Research: Data That Can’t Be Faked
TL;DR A provenance chain begins at the moment of capture. Every choice that decides whether a commercial statistic is true...
Verifiable Author Identity: sameAs, Credentials and Trust Chains
TL;DR An identity graph is not a verification system. Every claim in one was asserted by somebody, and its information...
Proving Human Authorship in an AI-Saturated Web
TL;DR You cannot prove human authorship. There is no test for it and there never was one. What you can...
SynthID, Watermarking and AI-Content Labelling: Implications for Earned Media
TL;DR The question is wrong. The field asks whether AI-labelled content gets demoted. That assumes a label is a property...
Signed vs Unsigned: When Unverified Content Becomes a Citation Liability
TL;DR A liability needs a counterparty who can make you pay. An engine declining to cite you is an outcome,...
The Authenticity Premium: First-Hand Experience as the Scarce Citable Input
TL;DR A premium needs three things: the good must be scarce, the buyer must be able to tell it from...
C2PA and Link Building: Provenance as a 2027 Trust Signal
TL;DR Provenance standards sign artifacts. A link is not an artifact — it is a relation between three parties, and...