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Applied AI·August 5, 2026·1 min read

Sources: ByteDance founder Zhang Yiming told employees at an all-hands last month that the company will not use model distillation to accelerate capabilities

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Refusing to lean on distillation is a bet on raw capability and research purity over speed and cost. For operators, it’s a reminder to separate vendor model strategy from your own deployment needs—your stack may still need distilled or smaller models even if your upstream supplier deprioritizes them.

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.