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Applied AI·July 2, 2026·1 min read

Mythos shows why AI governance must catch up to the speed of risk discovery

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Tools like Mythos that surface AI risk faster than governance can respond expose a growing gap between experimentation and control. If you’re rolling out AI broadly, you need a living risk register and a governance loop that can update in weeks, not annual policy cycles.

Applied AI

Sources: Anthropic has initiated early-stage development of a custom AI server chip and held preliminary discussions with Samsung about manufacturing the chip

Another frontier lab moving into custom AI silicon means model providers are treating chips as a strategic lever, not a commodity input. For large buyers, this could translate into tighter integration between models and hardware — and more vendor lock-in — so negotiate for portability and multi-cloud options early.