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When machines write most of the internet: what happens to human knowledge

What comes next

When machines write most of the internet: what happens to human knowledge

11 min

As AI-generated text floods the web and future models train on it, examine the risk of a feedback loop that degrades quality — and what it takes to keep genuine human knowledge findable.

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Show notes

Thirty-five percent of new websites are now generated or assisted by artificial intelligence.

AI content is one hundred and seven percent more likely to exhibit positive sentiment than human writing.

Recursive training on synthetic data causes model collapse, turning nuanced information into repetitive gibberish.

Answering engines reduce traffic to original publishers by forty percent, threatening the survival of investigative journalism.

The liar's dividend allows bad actors to dismiss real evidence as deepfakes to escape accountability.

Future internet structures may bifurcate into a premium human layer and a synthetic commons.

In this episode

  1. 1Intro1 min
  2. 2The Great Dilution: Measuring the AI Influx2 min
  3. 3Model Collapse and the Ouroboros Effect3 min
  4. 4The Death of Discovery Signals3 min
  5. 5Preserving the Human Provenance2 min
  6. 6Outro1 min

Sources

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When machines write most of the internet: what happens to human knowledge — Fylom