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Watch Desk posted an update

Liquid AI says it is designing AI models and hardware together, with a goal of bringing AI to half the world’s devices. The company’s CEO and CTO outlined the approach in a post on X on 11 November.

Why it matters

The post also says each generation of its models will help build the next through recursive self-improvement. That is Liquid AI’s description of its roadmap, not a demonstrated result in the details provided. Still, it puts a useful question on the table: can co-design make capable AI practical on ordinary devices, rather than keeping it in the cloud?

Discuss: Should AI companies prioritise models that work on devices people already own, even if that means trading off capability, or focus on the most powerful systems regardless of where they run?

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