The article discusses the author's preference for AI-based search tools over Google, particularly highlighting Perplexity. However, it notes that AI search results for hard data often suffer from accuracy issues, frequently providing dubious statistics from unreliable sources rather than direct reports like 10-Ks. The author identifies a broader issue within AI search known as model collapse, where successive generations of AI outputs inherit flaws, resulting in degraded accuracy and reliability. This phenomenon underscores the challenges of achieving good data integrity in AI systems.
When it comes to search, AI, especially Perplexity, is simply better than Google.
This isn't just Perplexity. I've done the exact same searches on all major AI search bots, and they all give me 'questionable' results.
AI model collapse occurs when AI systems trained on their outputs lose accuracy, causing distorted data and irreversible defects in performance.
The model becomes poisoned with its own projection of reality.
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