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Codex GPT-5.5 clusters reasoning at 516; Claude Code secretly marks Chinese users. When cloud AI silently degrades, open-weight self-hosting is the hedge.

GPT 5.6 looks strong, but only ~20 U.S.-approved partners can use it; I realize intelligence you can buy is already fair, while permission is the real gap.

I found Fable 5 swapped to Opus 4.8; U.S. Commerce banned it in three days. Closed-source AI can vanish overnight; Chinese open-source models step in.

HappyHorse topped video charts anonymously, yet squatters took its domains and HuggingFace name. The real issue: the hardware economics of private text-to-video demand.

How do open-source models make money? DeepSeek's numbers show model and cloud companies converging, with open source as the cheapest acquisition channel.

Researching text-to-video, I found Chinese dominance in open-source LLMs hasn't reached every domain. From LLaMA to Qwen to DeepSeek, what changed?

When creation and distribution costs near zero, platforms explode. Short video proved it; software repeats the pattern, and OpenClaw is worth watching.

We open-sourced AIMA, a Go binary with 57 MCP tools and a YAML knowledge base for heterogeneous AI inference, as AI servers halve in value in three months.