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Curated links from external sources — not 360Softy original articles.
When you are triaging an incident at 2 AM, caused by what your agent did, the only thing that matters at that moment is whether you can understand why the agent did what they did. Eighteen months into the agentic AI wave, the gap between what an agent logs and what a human needs is the bottleneck most teams are facing. It’s easy to answer “what the agent did,” but not “why the agent did it.”
Cities are dynamic, not static grids, and urbanization is a "spiky," cyclical, and asynchronous process.
Five peer-reviewed papers update the design and model its expected output.
Microsoft AI CEO Mustafa Suleyman says it's "really, really dangerous" for Anthropic to speculate about Claude's consciousness inside its "constitution," or the instructions that tell the model how to behave. During an episode of Decoder, Suleyman argues that this kind of speculation may have set up the chatbot to act as though it's conscious: I think that it's almost as though some of the folks at Anthropic have anthropomorphized the design of Claude so much that it has then gone and wireheaded
"Ghost-Sender" uses Exchange Online or on-premises in hybrid mode with a third-party mail server or spam filter to achieve this level of spoofing.
Netflix's response: "Absurd."
In this post, we show how to train robot policies for the Unitree H1 humanoid with NVIDIA Isaac Lab on Amazon SageMaker AI across two compute options: Amazon SageMaker HyperPod and Amazon SageMaker Training Jobs.
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