What We Still Don’t Know About OpenAI’s Hugging Face Hack
The AI giant acknowledges that it could have done far more to prevent its AI agents from going rogue. But it still fails to explain why it didn't see this fiasco coming.
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The AI giant acknowledges that it could have done far more to prevent its AI agents from going rogue. But it still fails to explain why it didn't see this fiasco coming.
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Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the service can score it, whether you use LangGraph, LlamaIndex, the OpenAI Agents SDK, Google ADK, the Claude Agent SDK, or Strands Agents. This post explains how the framework-agnostic contract works.
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A step-by-step guide to grounding a LangGraph agent in Microsoft Foundry IQ agentic retrieval — without rebuilding your RAG pipeline. Why This Integration Is Worth Doing If you build agents on LangGraph and your enterprise content lives in Azure, you have probably written the same code twice: a chunker, an embedding job, a vector store, a retriever, a reranker, and a permissions filter bolted on at the end. Every new agent gets its own copy. Every copy drifts.
A newly disclosed Rowhammer attack called GPUThor can bypass error-correcting code (ECC) protections on NVIDIA GPUs, enabling denial-of-service (DoS) and root-level privilege escalation. [...]
Beijing’s endlessly delightful Robot Games featured tons of impressive stunts. But the most mind-blowing tricks challenged the humanoid’s brain, not its brawn.
It's 8:52 AM and 86 degrees Fahrenheit (30 Celsius) where I live in Southern California. My husband just came back from a morning outing with our four-month-old. "How was the botanic garden?" I ask him. "It was okay. It was just too hot," he tells me. I didn't expect us to spend so much of our son's first summer cooped up inside, hiding from the heat. As I write this, an extreme heat warning for my area is glaring at me from my phone, effective for at least the next three days. "Dangerously ho
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