1
How Snapchat Serves a Billion Predictions Per Second
用AI快速解析Snapchat这类系统架构文章，秒懂关键设计原理
For Snap, machine learning is closer to the product itself than a feature on top of it.
2
AI Makes Mistakes; Process Design Matters More
AI犯错不可避免，流程设计比技术本身更关键，值得每位产品经理思考。
Article URL: https://medium.com/@olowu.marydan/ai-makes-mistakes-that-means-process-design-matters-more-than-ever-980097b68f2a Comments URL: https://n…
3
AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
提出记忆增强的评分标准改进系统，提升基于评分标准的强化学习效果。
arXiv:2605.18592v1 Announce Type: new Abstract: Rubric-based reward shaping is an effective method for fine-tuning LLMs via RL, where structured rubri…
4
A Guide To Event-Driven Architectural Patterns
从同步调用到事件驱动，深度解析分布式系统解耦的核心架构模式与实战指南。
Distributed systems are built out of services that need to communicate, and the simplest way to do that is for one service to call another directly an…
5
Beyond rate limits: scaling access to Codex and Sora
OpenAI揭秘如何用速率限制、使用追踪与积分体系构建Sora和Codex的持续访问系统
How OpenAI built a real-time access system combining rate limits, usage tracking, and credits to power continuous access to Sora and Codex.
6
Discovering the minutiae of backend systems
OpenAI工程师带你深入后端系统细节，揭秘大规模AI基础设施的工程智慧与实战技巧。
Christian Gibson is an engineer on the Supercomputing team at OpenAI.
7
Ask HN: What's the minimum needed tech to sustain modern civilization?
HN上的一场技术哲学头脑风暴：如果抛弃现代复杂性，维持文明的最低技术栈是什么？
I think this is a good systems design problem for HN to nerd out on. There was a recent discussion about how the world is overly complicated. If we co…