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 & Technology디자인, 개발, AI 인프라, 제품 구축에 대한 생각.
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 & TechnologyThe LiteLLM attacker made one implementation mistake. That mistake was the only reason 47,000 installs got caught in 46 minutes.
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 & TechnologyEvery night: 15,000 pages checked, TTFB measured, cache verified, sitemaps crawled. The goodnight routine is where operational discipline lives.
AI & TechnologyThe model is the same between session 1 and session 500. The project changed. This reframes the entire AI productivity conversation.
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 & 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 & 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 & 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 & 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 & Technology기술 글쓰기: Introl
대규모 언어 모델을 로컬에서 실행하기 위한 종합 하드웨어 권장 사항 및 비용 분석.
다양한 AI 워크로드를 위한 NVIDIA 최신 데이터센터 가속기 비교 GPU 선택 가이드.
Google의 TPU v1부터 TPU v5까지의 Tensor Processing Unit 발전에 대한 심층 기술 분석.
컨테이너화된 환경에서 GPU 클러스터의 리소스 공유 전략.
Ray 프레임워크를 사용한 분산 AI 컴퓨팅 구축 및 관리 가이드.
오픈소스 LLM 경제학 및 DeepSeek의 경쟁 포지셔닝 분석.
미래 데이터센터 전력 요구 사항 및 NVIDIA의 차세대 GPU 로드맵.
차세대 AI 인프라에 전력을 공급하는 소형 모듈식 원자로 솔루션.
DeepSeek의 Multi-Head Compression 아키텍처 혁신에 대한 기술 분석.