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Content Aware · Aug 13, 2026

Watermarking AI: analysing drops in an ocean of plagiarism

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Rob Corbidge · Content Aware

In the course of writing a eulogy for a dearly loved and recently departed relative last week, I had cause to marvel at the sheer complexity of the human writing process. The speech in memory of their life was well received by all those who heard it, and indeed was praised by many, it making them by turns happy, sad, and reflective, which is the purpose of a eulogy as far as I’m concerned.

Yet as I told my partner that I, as a writer of some modest skill was pleased with the result of my efforts, and she said “I’m glad you’re happy with what you’ve written”, I immediately responded “Well, truth is I’m never really happy with anything I’ve written, and if I’d written it today it would be almost entirely different.”

It’s true. Even if the aim of the writing - evoking the memory of the departed as warmly and effectively as possible - was an irreducible purpose, the characterisations used, the words, the structure, could all have been different. The human brain still yet has a few tricks up its cerebral sleeve in its almost endless capacity for creation.

Which leads us today on to the fast-warming topic of content generated by AI, how to identify it, and moves to make it easier to do. And why it may encourage the very things we are trying to avoid.

Read the full article on GPP.io

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Read the original on contentaware.substack.com

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