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FM-Bench is a benchmark for evaluating long-horizon AI agents, revealing that short-term performance does not guarantee long-term success in simulated management tasks over 20 years.
A paper evaluates eight leading AI models on long-horizon tasks, finding that even the best-performing model achieves only 27.3% of human performance, highlighting significant limitations for dependable long-horizon AI execution.