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MLOps & Governance
Tracking, model registry, feature stores, lineage, and compliance.
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Stage 5 of enterprise AI adoption: governance hardening
2+ hour, 11+ min ago (502+ words) This is part 5 of a series that started with the full reference diagram in part 0, covered identity... Tagged with ai, architecture, enterprise, governance....
Why AI Writes Need Risk Tiers: The R0-R5 Tool Risk Model
1+ day, 4+ hour ago (438+ words) The previous piece, "Runtime over Prompt", argued that the security boundary belongs on the execution path — immediately before a tool call can produce a side effect. This one goes a level deeper. Once the boundary sits on the execution path,…...
Common Data Governance Mistakes That Sink AI Projects
1+ day, 12+ hour ago (1501+ words) An AI project can have a powerful model, a skilled data science team, and a large technology budget and still fail. The problem may start much earlier. Bad data. Unclear ownership. Missing lineage. Weak access controls. Poor documentation. These are…...
MLOps Best Practices 2026
1+ day, 21+ hour ago (1328+ words) {"title": "MLOps Best Practices 2026: Scaling AI from Prototype to Enterprise Production", "content": "### Introduction\n\nThe landscape of machine learning has undergone a seismic shift. We are no longer in the era of isolated Jupyter notebooks and sporadic model deployments; we…...
Building a Production-Grade End-to-End MLOps Pipeline from Scratch
2+ day, 10+ hour ago (400+ words) A step-by-step walkthrough of building a complete MLOps pipeline with DVC, MLflow, FastAPI, Docker, GitHub Actions, Prometheus, and Evidently AI — covering the entire ML lifecycle from data versioning to drift detection. Tagged with mlops, machinelearning, python, devops....
Gatekeepers unbundled | HackerNoon
2+ day, 13+ hour ago (1734+ words) Gatekeepers kept on reappearing with their different clothing and methods, as a function of the new gates that kept on changing. As an example, since software started eating the world (Andreessen, 2011), we are witnessing the spread of the software engineer,…...
拆解美图秀秀：端侧大模型、实时美颜与亿级图像管线的工程实践
2+ day, 16+ hour ago (518+ words) 1. 背景与挑战 美图秀秀作为一款影像处理与美化应用，需要在 iOS/Android/Web/桌面多端提供一致体验。典型场景包括实时预览、拍照、视频美颜、批量修图、AI 生成。挑战包括： 实时性：相机预览 30/60fps，单帧预算 16.6ms/33.3ms。 海量规模：亿级用户、峰值上传、下载、素材分发。 设备碎片化：芯片、内存、系统版本、相机能力差异大。 成本与隐私：云端 GPU 成本高，用户对隐私敏感。 因此，美图秀秀采用端侧优先、云端增强、端云协同的架构。用户可通过美图秀秀官网获取版本信息，也可在应用商店完成美图秀秀下载。 2. 整体架构 端侧链路…...
An Old Trick in Networking, Rediscovered by AI
2+ day, 20+ hour ago (366+ words) Open a chat interface and ask it to write you a function, and you'll get an answer in a few seconds —... Tagged with networking, ai, architecture, programming....
Anthropic Releases Open-Source Bloom and Petri for AI Behavior Auditing
3+ day, 5+ hour ago (612+ words) The official Anthropic Bloom announcement, dated December 19, 2025, describes Bloom as a framework for scalable and reproducible alignment evaluations. It also links to Bloom's code repository and full technical report. The repository makes the Bloom codebase available under the MIT license,…...
The PoC Environment Nobody Kills
3+ day, 12+ hour ago (504+ words) Six months ago, a proof of concept shipped. Someone spun up a PoC environment to prove it could work: a small cluster, a database, maybe a load balancer if the demo needed to look convincing. The PoC succeeded. The team…...