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 & Technology關於設計、開發、AI基礎設施和產品構建的思考。
The LiteLLM attacker made one implementation mistake. That mistake was the only reason 47,000 installs got caught in 46 minutes.
AI & TechnologyThe model is the same between session 1 and session 500. The project changed. This reframes the entire AI productivity conversation.
AI & TechnologyBetween 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 & TechnologyI 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 & TechnologyMy 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 & TechnologyEvery night: 15,000 pages checked, TTFB measured, cache verified, sitemaps crawled. The goodnight routine is where operational discipline lives.
AI & TechnologyA 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 & TechnologyTime, 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 & TechnologyAs 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 & TechnologyClaude Code discovered adversarial attacks that outperform 30+ existing methods. Autoresearch just crossed from experiment to capability.
AI & TechnologyEvery problem you solve with an AI agent deposits context that the next session withdraws with interest. This is context compounding.
AI & TechnologyTrivy got compromised. Then LiteLLM. Then 47,000 installs in 46 minutes. The AI supply chain worked exactly as designed.
AI & Technology技術寫作: Introl
本地運行大型語言模型的全面硬體建議和成本分析。
針對不同AI工作負載比較NVIDIA最新資料中心加速器的GPU選擇指南。
深入技術分析Google張量處理單元從TPUv1到TPUv5的演進。
容器化環境中GPU叢集的資源共享策略。
使用Ray框架構建和管理分散式AI運算的指南。
開源LLM經濟學分析和DeepSeek的競爭定位。
未來資料中心電力需求和NVIDIA下一代GPU路線圖。
為下一代AI基礎設施供電的小型模組化反應爐解決方案。
DeepSeek多頭壓縮架構創新的技術分析。