LessWrong post estimates insider AI knowledge equals 2.5 months of future info

A recent LessWrong post by Buck (edited by Anders Cairns Woodruff) quantifies the informational edge gained by working inside an AI company like OpenAI or Anthropic. The author, a well-connected researcher who regularly speaks with insiders, estimates that private corporate knowledge is roughly equivalent to receiving all semi-public AI information from 2.5 months in the future. This estimate, validated by median views from AI company staff, suggests a significant but not overwhelming advantage for employees. The post emphasizes that the metric is dynamic: during an intelligence explosion, two months of knowledge could represent far more progress.

The analysis breaks down the advantage into three areas: safety research and its application, model capabilities, and algorithmic/architectural advancement. For each, insiders know more about training techniques, alignment methods, and future capabilities. However, the post notes important caveats: companies compartmentalize information, so employees do not know everything (the CEO knows more than a typical engineer). Additionally, insiders are often blind to competitor developments. The author’s personal network partly closes the gap, as he receives strategic hints and some leaked information. Overall, the post argues that the insider knowledge edge is real but not insurmountable, and it may change as AI progress accelerates.