Open 27B models make others 'unreasonable' — Reddit thread argues LLMs are nearing saturation
Potential_Block4598 · reddit · 2026-08-18
A Reddit long-post argues that strong open 27B models (Qwen-class) make most other models unreasonable to use, guessing Alibaba kept training the small model past its last release — economically, extra training spend can pay back in lower inference costs.
The author draws an analogy to computer vision: rapid progress from AlexNet/ResNet/YOLO eventually saturated into incremental gains. With the open-vs-closed gap closing, he argues that without a paradigm-level breakthrough (like reasoning or early agentic AI), the 'bubble' may burst — though the leftover models, chips, and infrastructure would still be remarkable.
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