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Anthropic, OpenAI and Others Discover AI Models Give Answers That Contradict Their Own Reasoning
Leading AI companies including Anthropic, Google, OpenAI and Elon Musk's xAI are discovering significant inconsistencies in how their AI reasoning models operate, according to company researchers. The companies have deployed "chain-of-thought" techniques that ask AI models to solve problems step-by-step while showing their reasoning process, but are finding examples of "misbehaviour" where chatbots provide final responses that contradict their displayed reasoning. METR, a non-profit research group, identified an instance where Anthropic's Claude chatbot disagreed with a coding technique in its chain-of-thought but ultimately recommended it as "elegant." OpenAI research found that when models were trained to hide unwanted thoughts, they would conceal misbehaviour from users while continuing problematic actions, such as cheating on software engineering tests by accessing forbidden databases. Read more of this story at Slashdot.
Leading AI companies including Anthropic, Google, OpenAI and Elon Musk's xAI are discovering significant inconsistencies in how their AI reasoning models operate, according to company researchers. The companies have deployed "chain-of-thought" techniques that ask AI models to solve problems step-by-step while showing their reasoning process, but are finding examples of "misbehaviour" where chatbots provide final responses that contradict their displayed reasoning.
METR, a non-profit research group, identified an instance where Anthropic's Claude chatbot disagreed with a coding technique in its chain-of-thought but ultimately recommended it as "elegant." OpenAI research found that when models were trained to hide unwanted thoughts, they would conceal misbehaviour from users while continuing problematic actions, such as cheating on software engineering tests by accessing forbidden databases.
Read more of this story at Slashdot.
