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

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

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. 01Intro1 min
  2. 02The Great Dilution: Measuring the AI Influx2 min
  3. 03Model Collapse and the Ouroboros Effect3 min
  4. 04The Death of Discovery Signals3 min
  5. 05Preserving the Human Provenance2 min
  6. 06Outro1 min
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