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Multi-agent AI systems are widely considered more capable. A Stanford study shows their apparent advantage largely comes from using more compute. But there are important exceptions.
The article New Stanford study reveals when teaming up AI agents is worth the compute appeared first on The Decoder.
<p>Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers [...]
<p>Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for [...]