
A recent experiment led by researcher Sima Alexx explores the performance of AI agents when structured like employees in major tech companies. The study, conducted over the summer, suggests that the organizational structures of companies such as Microsoft, Google, and Apple significantly influence the effectiveness of multi-agent AI systems. The findings indicate that companies with larger market capitalizations tend to have more effective agent architectures. This research has garnered attention from various tech experts, who highlight the potential implications for AI development and organizational design in the tech industry.
tl;dr... our fellow this summer @sima_alexx structured multi-agents similarly to big tech organizational charts and found that the companies with the largest market caps also had the best performant agent architectures https://t.co/8Js1CEkXWI
This is neat - simulating org structures / teams / communication formats & cadences / HR policies - so many different possibilities here... https://t.co/Pi9eFgxnuI
Is Alex saying that the tech companies with the biggest market caps might have the structure that works better for multi-agent AI systems? Perhaps! https://t.co/Ffd9XbhLNQ