New Study Tests Whether AI Models Can Introspect on Their Own Thoughts

On November 4, 2026, Quanta Magazine published a piece on new research examining whether large language models can understand their own thoughts. The reported approach differs from conventional probing: instead of simply asking a model to explain itself or inferring internal activity from behavior, researchers inject "thoughts" directly into a large language model and observe what follows. The stated aim is to map the scope of AI's capacity for introspection, that is, how much access a model appears to have to its own internal state. The report describes the design and motivation but does not report concrete experimental findings, leaving the central question open. As of the publication date, then, the key details that would settle it — which models were tested, the injection mechanism used, and any measured differences between models — had not been disclosed.