Probing Claude and GPT to Uncover Their Training Cutoff Dates
This blog post reverse‑engineers Claude and GPT’s knowledge cutoffs by feeding them date‑specific queries, revealing when their pre‑training data was frozen. The author shows that such probes can estimate model version timelines, helping developers gauge freshness and anticipate limitations of frontier LLMs.