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Why Deterministic Automation Was Never Going To Be Enough

Forbes Councils member Chris Wade argues that deterministic automation systems are insufficient for handling the growing variance in real-world scenarios, and that AI-driven approaches are necessary to address these limitations.

read1 min views16 publishedAug 10, 2026
Why Deterministic Automation Was Never Going To Be Enough
Image: Machinebrief (auto-discovered)

By Chris Wade, Forbes Councils MemberSource:

Forbes InnovationThe automation works, until it doesn't, and the cases where it doesn't are growing. Deterministic systems on their own were never going to handle that variance.

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source & further reading
machinebrief.com — original article Meta introduces Muse Ember to power cost-efficient AI agents Claude Fable 5.2 and Mythos 5.2 cement Anthropic's AI lead just before its IPO Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do
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