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After TurboQuant and Gemma 4, came across the following video[0] running Gemma on local machine at 50 token/second.

That already looks like Sonnet 3x and 4 level capabilities to me where the model in question (Gemma 4) set ups whole python project with a UI and installs python libraries using uv etc.

Add this Simple Self Distillation to the picture and by 2028 I see cheaper coding model providers with much more generous usage limits in the future and power users would be mostly running their own models anyway.

Anyone using these models as "non-deterministic transpilers" from natural language to code (experienced engineers who can write code themselves) would probably not be paying to any AI providers.

[0] https://www.youtube.com/watch?v=-_hC-C_Drcw

Local Gemma 4 with OpenCode & llama.cpp | Build a Local RAG with LangChain | 🔴 Live

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