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What happened in AI — Nov 4, 2026

Wednesday, Nov 4, 2026
32 articles · 5 categories

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In 30 seconds

  • Extended thinking beat a 37-skill, 17-agent harness that cost 8× more.
  • NVIDIA: frontier agents lose little accuracy at 16K context with compaction; long context costs up to 7× more per token.
  • Cleric's ~40-agent rewrite made evals 5× faster and 100× cheaper.
  • Kimi K3.1 Pro (2.8T MoE, open weights) had day-0 vLLM support.
  • Glow Labs: coding agents are installing deprecated MCP servers with known flaws.
  • H200 loses money fully busy; B300 profits at 35% utilization.

Heavier agent scaffolding lost to simpler setups: a 100-task benchmark found Claude Code with more thinking beat a 37-skill, 17-agent harness that cost 8× more.

NVIDIA's result that 16K contexts with compaction hold accuracy points the same way: cut context and orchestration, not capability. Kimi K3.1 Pro's day-0 vLLM support shows open-weight serving catching up fast.

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Agent harnesses: less scaffolding, durable memory 5 items

A 100-task benchmark found extended thinking beat elaborate harnesses, while three new tools move agent memory into portable stores.

Evals and context: cheaper runs, shorter windows 3 items

Two results cut the cost of agent operations: Cleric's 40-agent eval rewrite and NVIDIA's finding that 16K contexts with compaction hold accuracy.

Inference economics and open-weight serving 5 items

Kimi K3.1 Pro had day-0 serving support, while two measurements show gateway language and GPU choice matter more than engine choice.

Agent security and identity 4 items

Coding agents are installing retired MCP servers on their own, and NIST and Cloudflare each publish controls for identifying and governing agents.

Distribution and spend: Qwen on iPhone, Claude Code economics 3 items

Distribution and spend drive platform strategy: Apple's Qwen trial in China, OpenAI buying into Codex tooling, and Anthropic's Claude Code margins.

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