Editor's Picks
おすすめ記事
編集部が厳選した5つの記事をランキング形式でご紹介します。
- 01セキュリティ・プライバシー
AI Defense Contracting Is Forcing Governance Out of Policy Decks
Recent leadership turbulence around military AI deals highlights why product, legal, and engineering governance must become an operating system, not a PDF.
Why AI governance in defense-adjacent contexts must be implemented as release-time control, not policy theater.
- 02
Sovereign On-Prem LLM Programs Are Entering the Production Phase
Enterprise announcements around Qwen-class on-prem models show a shift from experimentation to governed, costed, and auditable internal AI platforms.
A practical architecture for regulated enterprises moving from API experiments to sovereign on-prem model operations.
- 03
Always-On AI Is Becoming a Network Engineering Problem
As AI inference shifts from periodic workloads to continuous traffic, organizations need new capacity models spanning edge, backbone, and application layers.
Frames AI reliability as an end-to-end traffic engineering challenge across client path, network, and inference runtime.
- 04
Multi-Model Copilot Workflows Need PR-Grade Governance
With model selection and agent session controls expanding in GitHub workflows, engineering teams must treat AI usage in pull requests as a governed production process.
Actionable controls for multi-model AI usage in pull requests, with policy and auditability baked into CI.
- 05
OSS Maintainers Need a Verification Budget for AI-Era Contributions
As AI-generated pull requests increase, open-source projects must formalize triage, validation, and contributor expectations to avoid burnout and quality decay.
A maintainer-first playbook to handle AI-generated PR volume without sacrificing quality or burning out reviewers.
