Absence of a watermark is not proof of a human
The single most important thing to understand about AI-content verification — and the reason Provenote leads with provenance, not a detector score.
Deepak R Chandran, Ph.D.
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What Anthropic’s text watermark actually is — and what it can’t tell you
In August 2026 Anthropic began watermarking Claude’s text output. Here is a plain-language read on how it works, what it proves, and where its limits sit.
Deepak R Chandran, Ph.D.
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Grading detectors honestly: how we measure false-positive rates
A detector’s advertised accuracy is the wrong number. Here’s the number that actually matters, what it costs a real person when it’s wrong, and how Provenote grades every detector it touches.
Deepak R Chandran, Ph.D.
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Article 50, in plain English: what’s already in force — and what December actually covers
The EU AI Act’s transparency duties have applied since 2 August 2026 — not December. Here’s what has to be marked, what has to be visibly disclosed, where a hidden watermark isn’t enough, and what the December 2026 date really is.
Deepak R Chandran, Ph.D.
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Content Credentials for text: what C2PA does — and doesn’t — cover
C2PA is the “nutrition label” for digital media, and it now reaches into documents. But there’s one thing it fundamentally can’t do for writing — and knowing that line is the whole point.
Deepak R Chandran, Ph.D.
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The asymmetric cost of a false accusation
A missed detection costs you a little certainty. A false positive costs someone else their credibility. Here is the arithmetic almost nobody runs before switching a detector on.
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- Disclosure isn’t verificationOctober 25, 2026
- The case we cannot solve — and why nobody else can eitherNovember 8, 2026