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A new academic paper examines how autonomous AI agents could make influence campaigns harder to detect and more effective at scale. http://dlvr.it/TQYbfN
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Managing large AI teams today is less like running a traditional engineering organization and more like conducting an orchestra while the music is still being written. Leaders must balance speed, experimentation, risk, and coordination across disciplines that operate at very different tempos. Data scientists optimize for discovery, engineers for reliability and efficiency, security and legal … continue reading The post The leadership principles behind high-performing AI engineering teams appeared first on SD Times. http://dlvr.it/TQcpWQ