AI swarm size versus chain-of-thought length
A thread estimates that increasing swarm size 16-fold would deliver the same performance as increasing the length of chain-of-thought reasoning 4.9-fold.
TLDR
The thread calculates a scaling exponent of 0.57: on that calculation, increasing swarm size 16-fold would match the performance of increasing chain-of-thought length 4.9-fold. The author also points to OpenAI’s GPT-5.6 launch page, saying it has data for three such benchmarks.
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AI swarm size versus chain-of-thought length
A thread estimates that increasing swarm size 16-fold would deliver the same performance as increasing the length of chain-of-thought reasoning 4.9-fold.
TLDR
The thread calculates a scaling exponent of 0.57: on that calculation, increasing swarm size 16-fold would match the performance of increasing chain-of-thought length 4.9-fold. The author also points to OpenAI’s GPT-5.6 launch page, saying it has data for three such benchmarks.