AI-generated false intelligence nearly led US military to board

🚀 RELEASES & LAUNCHES

• Claude Code 2.1.277 adds support for AGENTS.md project instructions
  Anthropic added AGENTS.md support to Claude Code 2.1.277.
  • Claude Code users can use AGENTS.md files for project instructions.
  • Version 2.1.277 checks for AGENTS.md when a folder has no CLAUDE.md.
  • Users can toggle the behavior in /config through four instruction-file modes.
  • The built-in agents-md mod exposes the customization mechanism for future custom Claude Code mods.
  Sources 📄 Source: github.com · 📎 Coverage: simonwillison.net · 👁 via Simon Willison

📊 BENCHMARKS & EVALS

• Vulsar benchmark compares 24 LLMs with human writers on 475 prompts
  Vulsar released a creative-writing benchmark comparing 24 LLMs with human writers.

  • The benchmark is for developers and researchers evaluating LLMs for creative writing.
  • It scores 24 models across 475 prompts using a reward model trained on human preferences.
  • GPT 6 Astra ranked first overall with an 87.8% predicted win rate, ahead of human writers at 86.6%.
  • Professional writers led the professional-writer comparison at a 99.9% predicted win rate.
  • The benchmark provides model rankings and side-by-side samples for evaluating creative-writing quality.
  Sources 📎 Coverage: vulsar.ai · 👁 via r/LocalLLaMA

• UPDATE: Community fork runs 95.5-GiB Qwen3.8 model on 64GB Macs
  A community fork now runs Qwen3.8-Flash-Next on 64GB Apple Silicon Macs.

  • For Apple Silicon users with 64GB of memory and about 100GB of free SSD space.
  • The Q4_0-Q8out model is 95.5 GiB across three shards, supports a 98,304-token context, and reaches about 370 prompt tokens/sec and 27 tokens/sec generation on an M5 Pro.
  • The npanj llama.cpp fork streams routed MoE experts from SSD, enabling local long-context coding workloads that exceed available RAM.
  Sources 📄 Source: huggingface.co · 📎 Coverage: github.com · 👁 via r/LocalLLaMA

💰 BUSINESS & FUNDING

• Anthropic embeds Accenture’s Faculty team to evaluate its AI models
  Anthropic will embed Accenture’s Faculty AI team to evaluate and red-team its models.
  • Anthropic will work with Accenture’s Faculty AI division, whose staff will operate inside the AI lab.
  • Faculty will evaluate and red-team models, conduct alignment assessments, and test safeguards.
  • Anthropic and Accenture expect to invest at least $1 billion in the project over five years.
  • The evaluators are intended to make Anthropic’s model safety more independently verifiable.
  Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

⚠️ INCIDENTS & SAFETY

• AI-generated false intelligence nearly led US military to board Chinese ship
  An AI-assisted intelligence report nearly prompted the US military to board a Chinese ship.
  • The incident involved a US Special Operations Command analyst and military officials preparing to intercept a Chinese ship.
  • A chatbot incorrectly identified the ship’s cargo as components for China’s nuclear weapons program after combining open-source and classified signals intelligence.
  • Officials discovered the error before boarding, which was planned with air support.
  • The episode highlights risks as 1.5 million active-duty Defense Department personnel have used the military’s generative AI tools.
  Sources 📄 Source: cnn.com · 📎 Coverage: arstechnica.com · 👁 via Ars Technica AI

🔬 RESEARCH

• 📄 Source for FAA plans $875M SMART AI system for air-traffic management — faa.gov