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HazardWeaver: Scientific Route Selection for Hazard Analysis Agents

Understanding and assessing natural hazards is essential for disaster preparedness and risk reduction. Recent advances in large language models have spurred growing interest in AI agents for hazard analysis, particularly their ability to integrate scientific data, models, and tools into automated workflows. However, effective automation requires agents to determine which scientific methods are…

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

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Running DeepAgents in a Docker Sandbox, with no cloud keys

Agent frameworks are easy to pip install and surprisingly hard to run responsibly. The moment you give an agent a filesystem, a shell, and a network, you have handed arbitrary generated code the same…

  • DeepAgents framework allows creating agents with LangGraph library
  • Docker Sandbox Kit enables running DeepAgents without cloud credentials
  • Kit consists of four files and grants phase-scoped network policy

Gemma 4 QAT on One TPU v5e: What Runs and What Doesn't

This article provides a step by step guide to repacking Google's quantization-aware-trained (QAT) Gemma 4 weights for vLLM and serving them on one Google Cloud TPU v5e chip, with every build scored…

  • Gemma 4 models run efficiently on a single TPU v5e chip
  • 4-bit repack stores QAT grid values using int4 weights and activations
  • 8-bit repack shows slight speed advantage over 4-bit repack

I built a PR reviewer that survived its own model being deprecated

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built groq-pr-reviewer-net — a .NET 10 CLI that reads your git diff and returns a structured code review in your…

  • Author created PR reviewer tool named groq-pr-reviewer-net
  • Tool assesses code for bugs, security, performance, readability
  • Powered by open-weight Groq model with model swap capability

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