Auto-grading decade-old Hacker News discussions with hindsight 10 Dec, 2025 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. 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. I was reading through the discussions of 10 years ago and mentally grading them for prescience when I realized that an LLM might actually be a lot better at this task. I copy pasted one of the article+comment threads manually into ChatGPT 5.1 Thinking and it gave me a beautiful analysis of what people thought + what actually happened in retrospect, even better and significantly more detailed than what I was doing manually. I realized that this task is actually a really good fit for LLMs and I was looking for excuses to vibe code something with the newly released Opus 4.5, so I got to work. I'm going to get all the front pages of December (31 days, 30 articles per day), get ChatGPT 5.1 Thinking to do the analysis, and present everything in a nice way for historical reading. There are two macro reasons for why I think the exercise is interesting more generally: I believe it is possible to train your forward future predictor. You can actually get better at predicting the future, but you need training data and effort. I always thought that "predicting the future" could be a serious, productive class that people could imagine taking in College or studying professionally. Superforcasters agree. I was reminded again of my tweets that said "Be good, future LLMs are watching". You can take that in many directions, but here I want to focus on the idea that future LLMs are watching. Everything we do today might be scrutinized in great detail in the future because it will be "free". A lot of the ways people behave currently I think make an implicit "security by obscurity" assumption. But if intelli...
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Last seen: 2025-12-12 16:46