The article analyzes why AI companies such as DeepSeek, Zhipu, OpenAI and Anthropic are moving toward custom inference ASICs, citing shifting compute costs, agent-driven inference demand, economic incentives, supply‑chain control, and export‑control challenges that together reshape the AI hardware landscape.
The author analyzes recent token usage on Zhipu AI, applies DeepSeek V4 pricing to three usage scenarios for both Flash and Pro plans, and shows that even the cheapest DeepSeek option still exceeds current monthly expenses.
This roundup analyzes the latest AI industry developments—from Zhipu's AutoGLM agent that combines deep research with real‑world actions, to Meta's 16‑trillion‑parameter Llama 4 models, Cursor's rebranded Kimi engine, Anthropic's court injunction, and broader trends such as Gartner's cost forecasts and public trust challenges—highlighting the technical details, strategic motives, and market implications behind each headline.
This tutorial walks through creating a personal GitLab access token, testing the GitLab API, configuring CI variables, importing a sample project, triggering a merge‑request pipeline, sending changed files to a Zhipu AI model, and writing the AI's review back into the merge request as comments.
