To combat this issue, the author suggests creating a snapshot of the web to serve as a reference point for evaluating the reliability of various information sources. They speculate that tech giants like Google, OpenAI, and Facebook likely already have such snapshots that they use for training their AI systems. The author likens these snapshots to 'low background steel', implying their increasing value in the digital age.
Key takeaways:
- The web is becoming overrun with AI generated content, making it difficult to find quality information.
- Search engines often associate 'recency' with 'quality' or 'relevance', which is no longer accurate due to the influx of AI generated content.
- The author suggests creating a snapshot of the web to serve as a calibration tool for assessing the quality of information sources.
- Large tech companies like Google, OpenAI, and Facebook likely have such snapshots that they use to train their AIs, and this data could become as valuable as 'low background steel'.