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AI & Enterprise

Hands-on with Alibaba\'s Qwen3.8-27B: strong performance but thinks too much

Alibaba has open-sourced Qwen3.8-27B, a multimodal AI model sized to run locally on higher-spec MacBook Pros or Mac Studios. Simon Willison, who developed Datasette and co-developed Django, published a hands-on review. He said the model’s performance is impressive but criticised its default “xhigh” deep-thinking setting for taking too long on simple tasks. He cited a 21-minute image-generation response and noted slower speeds even on high-end hardware.

AI & Enterprise

DeepSeek Harness spreads in developer community as plug-in-based design draws attention

DeepSeek\'s open-source AI agent runtime, DeepSeek Harness, is spreading quickly in developer communities after receiving positive reviews. Built on Node.js and released under the MIT licence as a developer preview on GitHub, it gained more than 33,000 stars within hours of launch, a report said. It features an “everything is a plug-in” design and offers four execution modes, while supporting multiple AI platforms.

AI & Enterprise

Alibaba releases open-source AI model that can run on MacBook

Alibaba has released an open-source multimodal AI model, Qwen3.8-27B, optimised for local use, including its weights under an Apache 2.0 licence. The company also plans to publish weights for its top model, Qwen3.8-2.4T-A95B, letting developers choose between lightweight local models and frontier-grade agent tasks. Alibaba says Qwen3.8-27B can run on high-end MacBook Pro or Mac Studio systems and supports up to 1,000,000 tokens with YaRN.