Microsoft is testing a Chinese model (Kimi) inside Copilot. Are we entering the 'Intel Inside' era of AI?

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Summary

Microsoft is testing Moonshot's Kimi model inside Copilot, highlighting a shift where users care more about utility than the underlying AI model.

For a bit of context, I work at an agency, so I'm in and out of a dozen different AI tools every week across client projects: content, research, video, code, all of it. This is probably why I noticed this before most people (found these news while scrolling on LinkedIn today). When the ChatGPT hype first hit I genuinely cared which model I was on. Once GPT-4 landed and claude and gemini showed up, I'd switch between them constantly depending on the task, knowing what was under the hood felt like part of using it well. Now I catch myself using products with no idea what's running underneath. The news about Microsoft testing Kimi (Moonshot's model) inside Copilot is what made it click today. Copilot today is one model, six months from now it could be another, and most people won't notice or care. The model became a component, not the product. And honestly that's already how I use most of this stuff. Cursor for coding, Perplexity for research, Canva AI for design stuff, Argil when I'm turning a script into video. I couldn't tell you which model any of them swapped to last quarter, and it wouldn't change whether I keep paying. They're valuable because they solve one specific problem better than me duct-taping five tools together, not because of the model name on the box. Feels like we're moving from "which LLM is this?" to "did it actually save me time?" the same way nobody buying a laptop thinks about the chip anymore. Curious if others feel this shift. Do you still pick tools by the underlying model, or has that stopped mattering for you?
Original Article

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