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Talking to Windows' Copilot AI makes a computer feel incompetent
It's not hard to understand the AI future Microsoft is betting billions on -- a world where computers understand what you're saying and do things for you. It's right there in the ads for the latest Copilot PCs, where people cheerfully talk to their laptops and they talk back, answering questions in
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Microsoft's own Windows ad shows Copilot giving wrong instructions
A recent video ad on Twitter showed Copilot helpfully telling a user to select a setting in the wrong menu. Even as someone who viscerally hates "AI" getting stuffed into every aspect of every device and service I use, I can see places where it's helpful. For example, a conversational interface
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Independent testing reveals significant gaps between Microsoft's Copilot Vision marketing claims and actual performance, with the AI assistant providing incorrect information and failing basic tasks shown in promotional materials.

Microsoft has positioned Copilot Vision as a revolutionary AI assistant that can understand what users are saying and help them accomplish tasks through natural language interaction. The company's promotional materials feature the tagline "The computer you can talk to" and showcase scenarios where users successfully get help with various computing tasks
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.However, independent testing reveals a significant gap between these marketing promises and actual performance. When journalists attempted to replicate the exact scenarios shown in Microsoft's advertisements, Copilot Vision consistently failed to deliver accurate results or helpful assistance.
Copilot Vision's implementation creates several user experience problems that undermine its utility. The system requires users to grant screen-sharing permissions for every interaction, similar to joining a Teams call, which creates friction in the user experience. Additionally, the assistant responds slowly to queries and addresses users by name repeatedly, creating an awkward interaction pattern
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.During testing of advertised scenarios, the AI assistant demonstrated concerning inconsistencies. When asked to identify a HyperX QuadCast 2S microphone shown in a YouTube video - a task featured prominently in Microsoft's advertisements - Copilot Vision provided multiple incorrect answers, including identifying it as a first-generation HyperX QuadCast and, on separate occasions, as a Shure SM7b microphone.
A particularly striking example of the disconnect between marketing and reality emerged in Microsoft's own promotional content. In a November 12th Twitter video featuring YouTuber UrAvgConsumer, Copilot Vision was asked to help make text bigger on screen. The AI assistant correctly guided the user to the Display settings but then instructed them to select 150 percent scaling - which was already the selected option
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.The user in the video ignored Copilot's instructions and manually selected 200 percent scaling instead, achieving the desired result despite the AI's guidance rather than because of it. This contradiction was so apparent that Twitter's community notes feature automatically highlighted the error, pointing out that the Accessibility section's "Text size" setting would have been more appropriate for the user's needs.
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These performance issues occur against the backdrop of Microsoft's ambitious AI strategy. CEO Satya Nadella has outlined a vision where the company rearchitects all of its software to serve as infrastructure for AI agents, fundamentally changing how people interact with computers. The company has invested billions in this AI-first approach, making Copilot's current limitations particularly significant for Microsoft's broader strategic goals
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.The testing results suggest that while the underlying concept of conversational AI assistance has merit, the current implementation falls short of the seamless experience portrayed in marketing materials. Issues range from basic accuracy problems to fundamental usability concerns that could frustrate rather than help users, particularly those who might benefit most from AI assistance, such as less tech-savvy individuals.
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