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Agent Evaluation

53 summarised stories about Agent Evaluation, each linking back to the original source. Browse all topics →

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Sunday, 23 August 2026

🔮 Why one AI is better than four #598

Exponential View 1 month ago 20

Four-agent decision tests run by Anthropic mostly failed when shared evidence pushed the group toward the wrong choice. Most model families got it right in only 17-36% of runs, while a single agent with the full evidence base was correct nearly every time. The takeaway is that agent “groupthink” persists, so better outcomes likely require fewer-but-informed agents and/or stronger mechanisms for dissent and diversity, though a related token price-elasticity finding suggests pricing “useful work” is still the bottleneck.

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