Hacker News·4 min read·hard
Exploring Claude/GPT Knowledge Cutoffs and Pre-Training Timelines
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✦AI Summary
This article explores methods for estimating the training timelines and technical specifications of frontier AI models like GPT-5 and Claude. It details how researchers use knowledge probes and data mixture inference to reverse-engineer the development stages of large language models.
We can learn hidden facts about how frontier models were trained by “probing” them with carefully curated requests.
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