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Applied AI·August 5, 2026·1 min read

MacPaw taps Liquid AI to offer on-device inference to devs building for its app store

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MacPaw bringing Liquid AI’s on-device models into its app store is a small but clear move toward local-first AI — inference as a platform primitive, not a cloud call. If you ship desktop software, you should be scoping which AI features can run entirely on-device to cut latency, cost, and privacy friction.

Applied AI

Developers in Africa are increasingly choosing Chinese open-source AI models over US models, saying they are downloadable, easier to customize, and much cheaper

African teams building tools like Sunflower on Chinese open-source models because they’re cheaper and easier to customize is a concrete shift in AI soft power. If you’re a US or European model provider, local language support, offline access, and permissive licensing are no longer nice-to-haves in emerging markets — they’re the entry ticket.