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Mate in the Loopby Kenny Jung
인사이트AI 보안소개함께 일하기블로그구독
KOEN

2026-W45 · 기준일 2026년 11월 6일

이번 주 AI

  1. Large Language Models

    서로 다른 출처 3곳 · 기사 8건 · 전주 대비 +3.3 pp

    • https://aitimes.com/news/articleView.html?idxno=216981
    • https://arxiv.org/abs/2608.16951
    • https://arxiv.org/abs/2610.41132
    • https://arxiv.org/abs/2611.05390
    • https://arxiv.org/abs/2611.06914
    • https://finextra.com/blogposting/33412/why-an-llm-alone-is-not-enough-the-missing-layer-in-enterprise-ai
    • https://simonwillison.net/2026/Nov/4/datasette-llm
    • https://simonwillison.net/2026/Nov/3/llm
    • https://simonwillison.net/2026/Nov/2/llm
  2. Digital twins

    서로 다른 출처 4곳 · 기사 4건 · 전주 대비 +1.2 pp

    • https://engineering.com/siemens-named-a-leader-in-life-sciences-rd-technology
    • https://energyconnects.com/videos/video-interviews/2026/november/how-industrial-ai-can-deliver-real-world-value-for-energy-operators
    • https://blogs.nvidia.com/blog/cities-physical-agentic-ai-applications
    • https://offshore-energy.biz/2026/11/03/first-phase-of-ai-powered-wave-energy-digital-twin-project-wraps-up
  3. AI chips / GPUs

    서로 다른 출처 2곳 · 기사 3건 · 전주 대비 +0.7 pp

    • https://aitimes.com/news/articleView.html?idxno=217037
    • https://aitimes.com/news/articleView.html?idxno=217065
    • https://aitimes.kr/news/articleView.html?idxno=42597
    • https://blogs.nvidia.com/blog/memory-full-stack-codesign
    • https://blogs.nvidia.com/blog/vera-cpu-highest-throughput-fastest-agents
    • https://aitimes.kr/news/articleView.html?idxno=42575
    • https://aitimes.kr/news/articleView.html?idxno=42587
    • https://aitimes.kr/news/articleView.html?idxno=42590
    • https://aws.amazon.com/blogs/machine-learning/building-ultra-low-latency-voice-ai-applications-on-aws
    • https://aitimes.com/news/articleView.html?idxno=216837
    • https://aitimes.com/news/articleView.html?idxno=216844
  4. AWS

    서로 다른 출처 3곳 · 기사 3건 · 전주 대비 +0.2 pp

    • https://openai.com/index/daybreak-red-aws-govcloud
    • https://aws.amazon.com/blogs/machine-learning/building-ultra-low-latency-voice-ai-applications-on-aws
    • https://finextra.com/videoarticle/3640/will-autonomous-ai-reshape-the-future-of-payments
  5. AI security (general)

    서로 다른 출처 2곳 · 기사 3건 · 전주 대비 +0.2 pp

    • https://ciodive.com/news/cisa-white-house-ai-task-force-missing-trump/873478
    • https://cybersecuritydive.com/news/cisa-white-house-ai-task-force-missing-trump/873338
    • https://cybersecuritydive.com/spons/3-questions-for-securing-ai-agents/873054
  6. Small / on-prem / open-weight models

    서로 다른 출처 2곳 · 기사 2건 · 전주 대비 +0.1 pp

    • https://blogs.nvidia.com/blog/nvidia-life-chris-alexiuk
    • https://latent.space/p/ainews-it-s-swapping-season
  7. Model Context Protocol (MCP)

    서로 다른 출처 2곳 · 기사 2건 · 전주 대비 +0.1 pp

    • https://aitimes.com/news/articleView.html?idxno=217027
    • https://arxiv.org/abs/2611.06585
    • https://engineering.com/what-mcp-could-mean-for-infrastructure-ai
  8. AI regulation / governance

    서로 다른 출처 2곳 · 기사 2건 · 전주 대비 +0.1 pp

    • https://ciodive.com/news/midterms-democrats-data-centers-AI/873807
    • https://sloanreview.mit.edu/article/the-ai-governance-paradox
Mate in the Loopby Kenny Jung

Stay in the loop. Augmentation, not automation.

AI가 조사하고 초안을 쓰고, Codex가 출처와 대조하고, Kenny가 승인한 것만 싣습니다.

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© 2026 Mate in the Loop · Kenny (Kwang-Yong) Jung해운 · 물류 · 제조 · 에너지 × AI · 업데이트 2026년 11월 6일