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Amazon CTO Proposes AI "Slowdown Checklist" in Shenzhen
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Amazon Vice President and Chief Technology Officer Werner Vogels proposed a "slowdown checklist" for AI applications in Shenzhen: educate before boarding, guardrails before action, good enough before chasing first place, and oppose FOMO-driven decision-making. Amazon uses the Dogwood language to specify what Agents can and cannot do, and Strands Decider serves as an open-source decision model to determine whether an action is feasible. Vogels said that if it involves regulatory requirements or even life safety in areas such as financial services, life sciences, and medical systems, it may be necessary for humans to review all content before action; he emphasized that cost is an approximate indicator of sustainability, and enterprises should choose "good enough is enough" models rather than the most expensive ones. In 2026, Amazon plans to invest 200 billion USD in capital expenditure, most of which will be used for AI infrastructure.
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- Werner Vogels on Amazon's AI philosophy: between doing and not doing
Amazon Vice President and CTO Werner Vogels proposed a "slowdown checklist" for AI applications in Shenzhen: educate before boarding, guardrails before action, and being good enough before chasing first place, opposing FOMO-driven decisions. Amazon uses the Dogwood language to specify what an Agent can and cannot do, and Strands Decider serves as an open-source decision model to judge whether an action is feasible. He emphasized that cost is an approximate indicator of sustainability, and that enterprises should choose a "good enough is enough" model rather than the most expensive one.
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