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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

Dokpamo phase 2 to assess agentic AI, allow tool calls in expert review

As competition among large language models shifts from simple question-and-answer to agentic AI that uses external tools and data, attention is growing on how the government’s “independent AI foundation model” project evaluates such capabilities. The second-phase Dokpamo evaluation keeps benchmark, expert and user reviews, but splits user testing into professional users and 200 members of the public. The science ministry says it differentiates core model performance from agentic capability by varying tool-use rules.

AI & Enterprise

Anthropic, OpenAI face different challenges ahead of trillion-dollar IPOs

As a race for trillion-dollar IPOs in the AI industry gathers pace, Anthropic and OpenAI are preparing to list while facing different challenges. Anthropic must persuade investors to accept its valuation based on revenue it has yet to earn in 2028. OpenAI, by contrast, is grappling with leadership uncertainty after a series of executive departures. Both companies are targeting valuations close to $1 trillion.