Qwen 3.8 model shows promise for local hardware but faces cost and speed barriers

Simon Willison commented on the Qwen 3.8 model, noting its potential for local hardware deployment. However, he found the model too slow for his MacBook Pro, and the hardware required to run it is prohibitively expensive, costing thousands of pounds or dollars. This highlights ongoing challenges with AI resource accessibility despite advancements in model capabilities. AI

IMPACT The high cost and slow performance of running advanced models locally present significant hurdles for widespread adoption and accessibility.

RANK_REASON The item discusses commentary on a model release rather than the release itself.

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• Qwen 3.8
• Simon Willison

• model release
• infra

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