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Applied AI·June 2, 2026·1 min read

An interview with Microsoft AI CEO Mustafa Suleyman about catching up with "what was state of the art just a few months ago", refusing to use distillation, more (Reed Albergotti/Semafor)

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Refusing to use distillation is a statement that quality — not unit cost — is the primary competitive axis at the frontier. If you’re betting your roadmap on small, cheap models, assume your users will compare them against undistilled frontier behavior and notice the gap.

Applied AI

Internal memo: Meta is scaling back elements of its employee tracking tool, launched in April to help train its AI models, after staff raised concerns (Jyoti Mann/The Information)

Meta walking back parts of its employee tracking tool under internal pressure shows that data hunger now runs headfirst into workforce trust. If you’re training models on employee behavior, assume consent, transparency, and opt-outs are not HR nice-to-haves—they’re existential to your data pipeline.