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My social media feed is buzzing about GPT-6 being released again. Misinformation has an audience; real information is a niche market. AI is making this worse, not better—which is why I recently pushed my team back to Claude Code.

Production is no longer valuable; speed of validation is. Karpathy ran 700 experiments in two days, Lei Jun got poll conclusions in a few days—digital identity is currently the biggest personal leverage. If you don't start by year-end, it'll be too late.

Spent four hours wrestling with a Chrome extension, finally fixed it with a quick search. Xiaohongshu experiments were a total washout. AI coding won't reduce your failures, but it will make you fail faster—three model generations in three months, today's dead end might be passable next month.

GitHub is becoming Xiaohongshu, and WeChat Official Accounts are becoming GitHub. A dumpling shop owner vibe-codes a skill, a Hollywood star is the first author on a GitHub repo, and it's trending on Moments to distill colleagues into skills. But skills might not be the point—agent interoperability is.

Aima Service refactoring retrospective. The product is like an emergency room—users don't care about the decor, only whether the doctor can treat them. Ran Claude Code and Codex in alternation for over a week, delivering 1.3 million lines of code. Looking back, the moat of code volume may already be gone.

Jensen Huang says coding agents will change the world, but the people actually using them number only in the millions. The problem isn't skills—it's cognition. Three mental barriers keep most people out; cross them, and you can delegate 95% of your computer work.

HappyHorse topped the video generation leaderboard overnight, yet no one knows who built it. Domains were squatted, HuggingFace repos were occupied, and its origins remain hotly debated. More interesting than the hype is the hardware and business logic behind the growing demand for private text-to-video deployment.

How do open-source models make money? Run the numbers on DeepSeek and it becomes clear: model companies and cloud providers are becoming two sides of the same coin, and open source is currently the most efficient customer acquisition channel.

Coding agents are better at debugging than writing code. MemPalace hit 7000 stars in two days. Anthropic's Mythos made all software insecure. Product design should stay ahead of the model.

While researching text-to-video models, I realized that Chinese models' dominance in the open-source language model community hasn't extended everywhere. Looking back over the past three years, from LLaMA to Qwen to DeepSeek, what has the open-source community experienced? And what is it waiting for now?

Programming and content creation are two diverging paths. The moment Seedance 2.0's API opened, my social media feed exploded. Agent-to-agent is 100x more efficient than meetings. You can finally play ball without talking business.

Zhang Xue shouldered the trial-and-error costs of his supply chain just to tighten tolerances from five si to three si. Misa spent ten years grinding on AR glasses, keeping his company alive with smart speakers in between. What these people share isn't brilliance—it's passion. And AI just happens to be amplifying exactly that.