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The author, a software founder, argues that local models like Qwen 27B/35B should not be viewed as inferior alternatives to Claude Opus, but rather as different tools suited for specific use cases. While local models have provided real value for his infrastructure-focused business and paid for themselves within months, they remain unreliable for unsupervised work due to issues like infinite loops and hallucination risks, particularly when quantized for consumer GPUs. The piece emphasizes that choosing between local and cloud models depends on use case rather than raw capability comparison.
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