Blog

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.

Zero-friction onboarding plus extremely strong AI intelligence—two pillars can't support a product. When users see agents 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 actually know how to make agents perform well in products.

Coding agents have compressed implementation costs to the magnitude of 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 design is for humans, Linux is for programs. An Agent isn't an app, it's infrastructure. Running an Agent on Mac is like cramming a server into a laptop chassis—it works, but everything feels wrong.

Switching between models daily. Opus is reckless but capable, GPT 5.4 is comprehensive but tends to drift, Gemini has aesthetic sense but can't fix bugs, and the three domestic models each have their own issues. Use them enough and you'll realize that switching models works better than tuning parameters.

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

Security issues are being patched quickly, the price might be less than a cup of milk tea, and choosing between Claude Code or OpenClaw depends on your circumstances.

Edge devices shouldn't try to compete on large models. Run TTS on the GPU, OCR on the NPU, stuff it full of auxiliary small models, make it a beefed-up Mac mini, toss it in a corner to run 24/7. Like a router—boring is exactly right.

AI enables everyone to produce at 10x speed, rendering traditional functional divisions obsolete. When building becomes faster than meeting, the logic of collaboration must change.

It's inevitable that MiniMax's valuation will surpass Baidu's. As traffic shifts from humans to Agents, infrastructure not built for Agents will eventually become obsolete.