Network / Systems / Security / AI
Deconstructing complex systems with first principles, from technical architecture to business logic, from organizational behavior to cognitive models.
After Agent SaaS: What Individuals and Enterprises Should Build
On April 8, 2026, Anthropic published Claude Managed Agents. The release is a useful signal because it turns a vague idea into a product direction: agent SaaS is moving beyond a ch
GPT-5.6 turns model selection into a routing problem
GPT-5.6 introduces Sol, Terra, and Luna alongside max reasoning, ultra subagents, explicit cache economics, and phased risk-based access.
The Next Step for AI Tools Is Delegated Work
OpenAI's new Codex usage study points to a simple but important shift: the basic unit of AI-assisted work is moving from a conversation to a delegated task.
How Box AI built enterprise content agents with Deep Agents
Enterprise content management is not hard because documents need a place to live. It is hard because a user can ask a cross-document, cross-year, cross-team question and expect the
AI-Generated Content Is Getting an Identity Layer
Google and OpenAI published closely timed updates on the same problem: AI-generated media needs a better way to explain where it came from.
Enterprise AI Advantage Is Moving From Access to Depth
OpenAI's B2B Signals report is not just another enterprise AI usage update.The important signal is that the enterprise AI gap is moving from access to depth.
OpenAI and Anthropic Are Moving Enterprise AI From Models to Deployment
On May 4, Anthropic announced a new enterprise AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs. The goal is to bring Claude into the most important opera
Anthropic 的新公司，暴露了企业 AI 最大的真问题
你老板让你“把 AI 用起来”的时候，最痛苦的往往不是选哪个模型。真正让人头大的是下一句：“能不能直接嵌到业务流程里？”这句话一出来，问题就不再是买不买 Claude、ChatGPT 或 Gemini，而是另一套更麻烦的东西：谁来理解业务？谁来改流程？谁来接系统？谁来长期维护？出了错谁负责？
