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

Nine days without a release and people start asking questions; one week of silence and no one pays attention anymore. The four real bottlenecks stalling AI startup teams—passion, focus, process, and stamina—none of them are technical.

Zero-friction onboarding plus extremely powerful AI intelligence—two pillars can't hold up a product. When users see an agent executing incomprehensible commands in the terminal, their first reaction isn't awe, it's fear. The missing pillar is progressive trust.

Prompts, RAG, fine-tuning, knowledge graphs, context engineering—five paradigm shifts in three years. Models are getting stronger, but we still don't know how to make agents perform well in products.

Coding agents have driven implementation costs down to a few hundred dollars per day. The traditional ideation funnel logic no longer holds. The bottleneck has shifted from execution to hypothesis generation. People with ideas have become the scarce resource.

Mac's permission model is designed for humans; Linux is designed for programs. An Agent is not an app—it is infrastructure. Running an Agent on a Mac is like stuffing a server into a laptop chassis—it works, but everything feels off.

I switch between models every day. Opus is reckless but gets the job done, GPT 5.4 is comprehensive but easily drifts off-course, Gemini has taste but can't fix bugs, and the three domestic models each have their own quirks. Use them enough, and you'll realize swapping models works better than tweaking parameters.

I previously wrote about cost and power. This piece fills in the legal gap. The cloud is rented to you; the edge is sold to you. When AI Agents start making autonomous decisions, this distinction is far more than a business choice.

After remotely installing OpenClaw for dozens of people, here are the three most common questions: Is it safe? Is it expensive? And how do I choose between Claude Code and OpenClaw? Answered in detail, with real pricing for domestic models.

Edge devices shouldn't chase large models. Run TTS on the GPU, OCR on the NPU, stuff it full of auxiliary small models, make it a Mac mini on steroids, and leave it running 24/7 in a corner. Like a router: boring is the point.

Building things is faster than having meetings. Division by skill no longer makes sense. After AI flattens ability differences, the new logic of teamwork might be: divide by passion, validate through horse racing, and win through diversity.

MiniMax surpassing Baidu in valuation is inevitable—Baidu doesn't even have a decent API. Traffic is shifting from humans to Agents. Infrastructure not built for Agents will eventually be used by neither humans nor machines.