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AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
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 & TechnologyThe model is the same between session 1 and session 500. The project changed. This reframes the entire AI productivity conversation.
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 & 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 & 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 & 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 & 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 & TechnologyClaude Code autonomously discovered adversarial attacks with 100% success rate against Meta's SecAlign-70B, beating all 33 published methods in 96 iterations.
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 & TechnologyHybrid BM25+vector retrieval, skills as markdown, drift detection. Five March 2026 papers validate the same architecture built from production failures.
AI & Technology1 in 8 enterprise AI breaches involve autonomous agents. Runtime hooks, OS-level sandboxes, and drift detection break the deploy-and-defend cycle.
AI & TechnologyTechnical writing at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.