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AI agents but they're working in big tech

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Alex Sima explores the impact of corporate structures on the performance of AI multi-agent systems in software engineering tasks. The experimentation revealed that agents modeled after 'competing' teams like Microsoft and Apple outperformed centralized, single point of failure structures like Google, hinting at the benefits of diversity in problem-solving approaches and reducing risks associated with single-point failures.

  • AI systems with 30+ agents outperform simpler models
  • Competition between teams leads to better performance
  • Single points of failure decrease efficiency
  • Big tech org structures modestly impact AI problem-solving
  • Microsoft and Apple's structures were top performers