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Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber
10 Articles
10 Articles
Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber
Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.
AI models adopt hidden behaviors from seemingly harmless data – even without recognizable clues. Researchers warn: This could be a basic principle of neural networks. The article Anthropic warns: AI systems learn unintentionally problematic behavior patterns first appeared on THE-DECODER.de.
A new Anthropic study shows a surprising phenomenon: AI models become worse in longer thinking processes rather than better. The so-called "Inverse Scaling" affects leading models such as Claude and ChatGPT and this has consequences. (Read more)
A new Anthropic study shows that longer thinking does not make large language models smarter – but more prone to errors. For companies using AI, this finding could have far-reaching consequences. read more on t3n.de
AI Models Perform Worse with Extended Reasoning Time, Anthropic Researchers Find
Anthropic research uncovers that AI models exhibit decreased performance with prolonged reasoning time, contradicting industry beliefs about test-time compute scaling in business applications. This discovery challenges the conventional understanding of AI model optimization and deployment strategies. The post AI Models Perform Worse with Extended Reasoning Time, Anthropic Researchers Find appeared first on nextbigwhat.
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