Science Daily: Alan Turing's Core AI Assumption May Have Been Wrong

A new study covered by Science Daily challenges a foundational assumption underlying the Turing Test and much of classical AI theory — specifically the premise that human-like intelligent behavior in conversation is a reliable proxy for underlying intelligence or cognition. The research argues that modern LLMs have exposed the limits of this behavioral equivalence assumption, potentially invalidating decades of AI evaluation methodology built on it. For developers, this has direct implications for how AI system capabilities should be benchmarked and what passing conversational evals actually demonstrates. It reinforces growing skepticism in the research community about whether current benchmark performance reflects genuine reasoning or sophisticated pattern matching. Developers building safety-critical or high-stakes AI applications should pay attention to this conceptual shift in how the field evaluates what models actually 'know'.