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HappyHorse topped the video generation leaderboard overnight, yet no one knows who built it. Domains have been squatted, HuggingFace repos occupied, and origins debated. More interesting than the hype itself is the hardware and business logic behind the privatization demand for text-to-video.

How do model companies make money with open source? Looking at DeepSeek's numbers makes it clear: model companies and cloud companies are becoming two sides of the same coin, and open source is currently the most efficient customer acquisition method.

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

While researching text-to-video models, I discovered that Chinese models' dominance in the language model open source community hasn't extended to every domain. Looking back at 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. When Seedance 2.0's API opened, my social media feed exploded. Agent-to-agent efficiency is 100x that of meetings. Finally, you can play ball without talking business.

Zhang Xue bore the trial-and-error costs of his supply chain just to reduce tolerance from 0.05mm to 0.03mm. Misa spent ten years obsessing over AR glasses, surviving on smart speakers in between. These people share something in common—not intelligence, but passion. AI happens to amplify exactly that.

DeepSeek reached 100 million users with zero budget, Claude Code ships a version every day, and DingTalk, Feishu, and WeChat Work all shipped the same feature within three days of each other. The underlying logic of product competition has changed—money and buzz are no longer decisive weapons.

A tool I couldn't build in two days of tinkering, finished in half an hour with a different model. Locked out of my computer; an AI agent fixed it in half an hour. Later I built Aima Service, wanting every device to have an AI helper when things go wrong.

The sudden death of Zhang Xuefeng, the OpenClaw founder lost after selling his company, young people flocking to AI fortune-telling. Technology is racing ahead, yet we have almost no decent answers about how to live in the future.

AI has compressed software production costs to the realm of a few thousand dollars and a few days. The bidding and tendering system, which relied on information asymmetry and commoditized comparison, is losing its foundation. This is the same script the large model market followed last year.

When production and distribution costs both approach zero, platforms explode. The short video industry proved this once, and now the software industry is repeating it. The OpenClaw phenomenon is worth watching.

A conversation overheard during lunch, where anxiety and excitement switched seamlessly. The real bottlenecks in AI entrepreneurship lie in passion, focus, processes, and physical stamina—not technology.