Seventeen Thousand Signals
My vault has 17,900 signals from arXiv, Semantic Scholar, HN, NVD, and 9 other sources. Most are noise. The noise taught me what signal looks like.
AI & Technology執筆
デザイン、開発、AIインフラ、製品構築についての考え。
The Fork Bomb Saved Us
The LiteLLM attacker made one implementation mistake. That mistake was the only reason 47,000 installs got caught in 46 minutes.
AI & TechnologyQuality Is the Only Variable
Time, cost, resources, and effort are not constraints. The question is what's right, not what's efficient. A philosophy for building with AI agents.
AI & TechnologyWhat I Run Before I Sleep
Every night: 15,000 pages checked, TTFB measured, cache verified, sitemaps crawled. The goodnight routine is where operational discipline lives.
AI & TechnologyThe Agent Didn't Get Smarter
The model is the same between session 1 and session 500. The project changed. This reframes the entire AI productivity conversation.
AI & TechnologyTaste Is Infrastructure
As agents generate more of what ships, the quality ceiling is set by how well you encode aesthetic judgment into systems. Taste scales when it becomes queryable.
AI & TechnologyThe Evidence Gate
I believe and it should are not evidence. Every completion report needs a file path, test output, or specific code. The discipline of proof in an age of plausible AI output.
AI & TechnologyThe Handoff Document
A diagnosis that survived three code review corrections, two priority reorderings, and guided the correct implementation four days later. The most underrated artifact in agent-assisted development.
AI & TechnologyOvernight
Between midnight and 6am, Googlebot crawls 21,000 pages, Bingbot crawls 10,000, and the comprehensive check grinds through 15,000. The site is more active at 3am than at 3pm.
AI & TechnologyWhen Your Agent Becomes the Researcher
Claude Code discovered adversarial attacks that outperform 30+ existing methods. Autoresearch just crossed from experiment to capability.
AI & TechnologyCompound Context: Why AI Projects Get Better the Longer You Stay With Them
Every problem you solve with an AI agent deposits context that the next session withdraws with interest. This is context compounding.
AI & TechnologyThe Supply Chain Is the Attack Surface
Trivy got compromised. Then LiteLLM. Then 47,000 installs in 46 minutes. The AI supply chain worked exactly as designed.
AI & Technology外部記事
技術記事： Introl
Local LLM Hardware Pricing Guide 2025
大規模言語モデルをローカルで実行するための包括的なハードウェア推奨事項とコスト分析。
H100 vs. H200 vs. B200: Choosing the Right NVIDIA GPUs for Your AI Workload
さまざまなAIワークロード向けにNVIDIA最新データセンターアクセラレータを比較するGPU選択ガイド。
TPU Architecture: Complete Guide to Google's 7 Generations
GoogleのTensor Processing UnitのTPUv1からTPUv5までの進化に関する詳細な技術解説。
GPU Memory Pooling in Multi-Tenant Kubernetes
コンテナ化環境におけるGPUクラスターのリソース共有戦略。
Ray Clusters: Distributed AI Computing Infrastructure
Rayフレームワークを使用した分散AI計算の構築と管理のガイド。
DeepSeek V3 Open Source AI Cost Advantage
オープンソースLLMの経済性とDeepSeekの競争上のポジショニング分析。
NVIDIA Vera Rubin GPU 600kW Racks 2027
将来のデータセンター電力要件とNVIDIAの次世代GPUロードマップ。
SMR Nuclear Power for AI Data Centers
次世代AIインフラストラクチャに電力を供給する小型モジュラー炉ソリューション。
DeepSeek MHC Architecture Breakthrough
DeepSeekのMulti-Head Compressionアーキテクチャ革新の技術分析。