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Signals on models, architecture, governance, and institutional AI.
Research and perspectives from ZTA Labs on the technologies, economics, governance, and operating models shaping institution-controlled AI.
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The Seven Steps to AI Independence
A Framework for Institution-Controlled AI
As AI becomes more valuable to investment firms, control over the architecture around it becomes more important. Seven principles for preserving model optionality, economic control, governance, institutional learning, and ownership as AI becomes embedded in consequential workflows.
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