Using LLMs to Retrospectively Analyze and Grade Decade-Old Hacker News Predictions
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Summary
The article explores a thought experiment about using LLMs to retrospectively analyze and 'auto-grade' decade-old Hacker News discussions for prescience and accuracy. The author examines a 2015 HN thread about technology predictions and considers how AI could systematically evaluate historical human discussions at scale, assessing which predictions came true versus those that were overly optimistic or missed the mark. The piece reflects on the value of such retrospective analysis for understanding technological forecasting patterns and human collective intelligence.
Key quotes
· 4 pulledI was reading through the discussions of 10 years ago and mentally grading them for prescience when I realized that an LLM might actually be able to do this systematically at scale.
A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.
One of the comments struck me a bit more though - Bjartr linked to the HN frontpage from exactly 10 years ago, i.e. December 2015.
Yesterday I stumbled on this HN thread Show HN: Gemini Pro 3 hallucinates the HN front page 10 years from now, where Gemini 3 was hallucinating the frontpage of 10 years from now.
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