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Andrej Karpathy uses Anthropic's Claude Opus 4.5 to auto-grade Hacker News discussions

Andrej Karpathy has developed a tool that uses an LLM to analyze historical Hacker News discussions from a decade ago. By feeding article content and comment threads into a model like Opus 4.5, the system can evaluate the prescience of past predictions and comments with the benefit of hindsight. This project, available on GitHub, aims to provide historical insights and also serves as a cautionary tale about future scrutiny of current online behavior. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

RANK_REASON This is a personal project and tool release by a notable researcher, not a major model release or academic paper.

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Andrej Karpathy uses Anthropic's Claude Opus 4.5 to auto-grade Hacker News discussions

COVERAGE [1]

  1. Andrej Karpathy TIER_1 · karpathy (hidden) ·

    Auto-grading decade-old Hacker News discussions with hindsight

    A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.