Qwen 3.8 27B vs. DeepSeek V4 Flash 0731
Even though DeepSeek is 10x the size, Qwen actually produced better results
DeepSeek just open-sourced their own agent harness: deepseek-harness (dsh)
13k stars on day one. Now sitting at 130k+. The design principle: everything is a plugin. Models, tools, sessions, sandboxes, even the UI — all swappable, all composable, powered by their own kernel:
Kurzweil-like exponential progress becomes truly important not when AI just gets smarter
Kurzweil-like exponential progress becomes truly important not when AI just gets smarter, but when AI itself becomes the agent of technological progress. From an era where humans improve AI, to an era where AI creates the next AI and humans assist it. Once we cross that boundary, it becomes difficult to predict the future by extending what we have seen so far.
The model was never the hard part.
DeepSeek open-sourced its agent harness — every capability is a plugin, and every run is traceable. Everything the model sees is written to an append-only log you can resume, fork, search, and replay.
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