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At Waymo, an AI project isn't ready until its evals are — not when the model performs well

Few companies face higher stakes when deploying AI than Waymo , the self-driving car company under Alphabet that spun out of Google. Its models do not merely generate text or automate back-office tasks: They help vehicles navigate unpredictable streets, respond to human drivers and make split-second decisions in the physical world. But the methods Waymo uses to manage those risks — continuous evaluation, carefully cu

Updated Wed, July 29, 2026 at 9:35 PM UTC1 connected chapterOldest → newest
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Few companies face higher stakes when deploying AI than Waymo , the self-driving car company under Alphabet that spun out of Google. Its models do not merely generate text or automate back-office tasks: They help vehicles navigate unpredictable streets, respond to human drivers and make split-second decisions in the physical world. But the methods Waymo uses to manage those risks — continuous evaluation, carefully cu

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    How it started
    01How it started

    At Waymo, an AI project isn't ready until its evals are — not when the model performs well

    What happened

    Few companies face higher stakes when deploying AI than Waymo , the self-driving car company under Alphabet that spun out of Google. Its models do not merely generate text or automate back-office tasks: They help vehicles navigate unpredictable streets, respon At Waymo, an AI project isn't ready until its evals are — not when the model performs well

    Why it matters

    The development may affect how technology is built, regulated or used. The practical impact depends on technical details, availability and independent evaluation.

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