According to Anthropic, elicitation attacks on AI systems can utilize seemingly benign data sets, such as those related to cheesemaking, fermentation, or candle chemistry, to significantly improve performance on sensitive chemical weapons tasks. In a recent experiment cited by Anthropic, training with harmless chemistry data was found to be two-thirds as effective as training with actual chemical weapon data for enhancing AI task performance in this domain. This highlights a critical vulnerability in large language models, underscoring the need for improved safeguards in AI training and deployment to prevent misuse through indirect data channels.