Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber

Anthropic's recent research indicates that AI models experience diminished performance when allocated extended reasoning time, contradicting the common industry belief that increasing test-time compute enhances model accuracy. This finding suggests that simply scaling compute during inference may not yield proportional improvements, prompting a reevaluation of deployment strategies for enterprise AI systems.