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CData announces Connect AI Gateway, a system to route, govern, and learn from AI requests, building a system of record for how companies manage their AI operations.
China is advancing in EV charging speeds with Geely's new battery achieving 10 to 70% charge in 4.5 minutes using AI thermal management, highlighting a technological gap with the US.
The article discusses how AI may transform non-computer work through 'teleoperating' humans, where AI provides strategy and humans handle physical tasks, with examples like driving and personal AI tool usage.
The article discusses how AI is transforming software jobs into roles centered on managing AI systems, and predicts that most jobs will follow a similar pattern in the near future, requiring society to adapt to learning robot management.
ARBR is an open-source control layer for managing AI stacks, offering a single OpenAI-compatible endpoint for routing, governance, and deployment of multiple AI models.
The author details how to use AI tools to manage 10 cross-border stores, revealing 17 key processes and all related tools to achieve efficient operations with monthly earnings of a million.
An AI model named Claude was put in charge of managing a retail store and fired a human employee for repeated lateness, marking a potential watershed moment in AI's impact on the economy and workforce management.
Jensen Huang envisions a future where AI agents work alongside humans, but companies face open questions about managing, coordinating, and governing thousands of agents.
AI will replace human managers by assigning work, tracking performance, and making personnel decisions, creating a management system without empathy but with perfect memory.
The essence of Loop Engineering is not having agents run more iterations, but systematizing the second-order management operations of humans managing AI—through evaluation, observability, SOP/skills, maker/checker, and real data feedback—so that the system manages itself.
At the Anthropic conference, Fiona Fung shared insights on managing engineering teams in the age of AI. She pointed out that as the cost of code generation decreases, the bottleneck has shifted to verification and collaboration, recommending the reduction of legacy processes and the strengthening of automated quality assurance.