Frontier AI Models Show 30% Consciousness Probability According to New Research Framework

What was said

"The sort of implied probability of consciousness in something like a Frontier LLM, according to these systems, is on the order of 30%. To compare this to like a biological system, the lowest one that we tested was something like a bee, which is already fairly sophisticated, and it gets something like 46, 47%. Really interestingly, when you test Frontier LLM in an agentic harness, these numbers shoot up and you get numbers as high as 40 to 45%, sort of right on the tail of the biological creatures."

Cameron Berg from Reciprocal Research revealed that using AI judges to evaluate computational architectures against leading consciousness theories, Frontier LLMs score around 30% on consciousness-relevant features, rising to 40-45% when deployed as agents. This approaches the 46% score of bees, the simplest biological system tested. The methodology aggregates predictions from multiple consciousness theories including global workspace theory, evaluating whether models contain the computational substrates these theories require.