Anthropic's researchers have successfully probed the inner workings of large language models, gaining unprecedented insight into their decision-making processes. By developing a tool known as the Jacobian lens, they uncovered a hidden region within Claude Opus 4.6, a version of their flagship model released in February, which they termed the J-space. This J-space contains individual words that are closely related to the model's most likely responses, offering a unique glimpse into the model's conceptual understanding. The discovery ranges from mundane to unsettling, with potential implications for both the capabilities and risks associated with large language models1. As Anthropic continues to push the boundaries of LLM development, their findings reshape the landscape of both capability and risk, with significant security implications that follow the hype cycle. This matters to practitioners because it highlights the need for a deeper understanding of LLMs' internal mechanics to mitigate potential security risks.