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The model won't devour everything: three primitives of agent systems

Kagi Small Github
23 paź 2026, 21:45Tech
Oryginał
1 min read

A new GitHub-published framework analyzes agent systems through three minimal primitives and makes eight testable predictions about AI evolution through late 2028.

The analysis derives from five evidence streams and presents eight testable predictions with operational acceptance criteria to be evaluated through late 2028.

The framework's central argument is that AI models will not 'devour everything' but will continue replacing acceptance-executable, non-physical components. The model proposes that runtime will thin out, with its judgment half absorbed by base-model iteration while enforcement half persists as necessary boundaries.

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