Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

New research reveals that longer reasoning processes in large language models can degrade performance, raising concerns for AI safety and enterprise use.

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New research shows that longer reasoning processes in large AI models do not always lead to better performance. Instead, ...

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The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and ...

Anthropic study finds that longer reasoning during inference can harm LLM accuracy and amplify unsafe tendencies.

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