🔮 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.