Urgent.News

What's breaking now, across thousands of outlets.

AI

PlanGuard: A Guardrail for Multi-Step Plan Safety in Embodied Agents

Embodied task planners may produce multi-step plans whose subtask dependencies and interactions with the environment create physical risks during execution. Yet existing safeguards overlook such compositional risks, as general-purpose guardrails focus on semantic harm and embodied safety detectors assess subtasks in isolation. To address this gap, we introduce PlanGuard, the first pre-execution…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

More in AI

Fixing Bedrock ToolResult Ordering Errors

A tool executed successfully, but Bedrock rejected the next message because toolResult IDs did not match the preceding toolUse order. INC-004 is easy to create when tools run in parallel.

Behind EcoPrompt: How I modeled the hidden physical cost of AI prompts (Zero Telemetry)

GenAI web interfaces (ChatGPT, Gemini, Claude) are pristine, minimal, and fast. But behind every single prompt lies a massive array of GPU clusters consuming real electricity, requiring evaporative…

  • EcoPrompt tracks physical costs of AI prompts, including water, energy, and carbon emissions.
  • Extension uses peer-reviewed research and industry data to calculate environmental impact.
  • EcoPrompt ensures user privacy with zero telemetry, client-side processing, and local storage.

More from Saturday 26 September →