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It started when my son quietly told me that he often couldn't get the little red flower for character recognition at school. I used a coding agent to build him a PAW Patrol-themed literacy game, all in about a day and a half. The most surprising part wasn't that my son refused to stop playing—it was my wife's reaction. For the first time, she truly felt that AI had landed right in our living room.

Price is fundamentally a supply-demand regulator, yet LLMs are stuck in a peculiar position—supply is locked by chip controls, while demand is pulled into completely different shapes by three types of users. The Coding Plan model, which once seemed self-evident, is now being repeatedly challenged.

Liking an idea or starring a repo now takes seconds. But turning an idea into something truly usable—the longest, most tedious stretch in between—hasn't been shortened by vibe coding. Some personal reflections, plus the common thread between Steve Jobs and Allen Zhang.

Karpathy himself has stopped using the term vibe coding. After an Amazon outage, the company simply added a senior sign-off gate for AI-assisted code written by junior engineers. Starting from my own daily workflow, I want to talk about four things this tool actually changes—breadth, speed, quality, and the one thing that never moved: accountability.

The new KMT chair visited the mainland, then came home and skipped traditional media — went straight to a livestream with an internet personality. She told Lei Jun her household runs entirely on Xiaomi. People like her remind me of the late Spring and Autumn period. The flip side of collapsing rites is a hundred schools contending. Same dynamic now.

Opus 4.7 dropped last night, so I didn't get any sleep. Got up, took it for a spin, casually sent a few PRs to OpenClaude that got merged into main, and pushed Qwen3-30B prefill on Strix Halo to near DGX Spark levels. Once agents are this capable, how many things one person can do simultaneously becomes a very concrete question.

Anthropic introduced real-name verification, and China is in an uproar. But honestly, this is no surprise. The AI industry has been in a state of war since 2023—chip bans, military contracts, model blockades. It's all too similar to the Qing Dynasty during the Industrial Revolution.

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.

One was Claude Code failing to fix its own Chrome extension after four hours of going in circles; the other was getting soft-throttled on Xiaohongshu no matter what I posted. AI didn't turn failure into success—it just made failure run faster. And that's precisely where it's most valuable.

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.