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Applied AI·July 26, 2026·1 min read

Making sense of the panic over Chinese AI

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The reaction to Moonshot AI’s Kimi is less about one model and more about Western investors internalizing that Chinese foundation models can be globally competitive on capability and distribution. If your AI strategy assumes a US-only vendor set, you’re missing a geopolitical axis that will shape pricing, access, and partnership options.

Applied AI

How AI companies are targeting the education market, including making free or cut-price tailored learning tools in partnership with schools and edtech startups

Free and cut-price AI tools for schools are customer acquisition funnels wrapped in public-good language—whoever becomes the default ‘learning copilot’ for districts locks in long-term data, distribution, and policy influence. If you sell into education, assume AI-native incumbents will bundle aggressively and start designing for integration or niche depth, not standalone apps.

Applied AI

Weka's new pod claims 1000PB in a 56U rack using 1,800 Micron 245.76TB SSDs and a decades-old compression trick

If WEKA can reliably deliver 1.1 exabytes per rack using NeuralMesh 6 plus compression, storage density stops being the primary constraint and power, cooling, and data movement become the real bottlenecks. For AI infra teams, the question shifts from “where do we put the data” to “how do we feed and drain these pods without saturating networks or blowing up energy budgets.”