
From Capability Scaling to Structural Verification Across the Agent Stack
transcript
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- AI safety research is shifting from observing model outputs to formally verifying internal states and execution paths to address gaps between capability and behavior under adversarial conditions.
⏱️ Chapters
00:00 Intro
00:16 From Capability Scaling to Structural Verification Across the Agent Stack
00:20 Highlights
02:16 The Shift from Behavioral Auditing to Structural Verification
05:14 Formalizing Safety Boundaries for Embodied AI
08:04 Closing the Loop: From Open-Loop Prediction to Reactive Control
10:25 Governance as Infrastructure: Securing the Agent Stack
13:06 Benchmarking Beyond Headline Accuracy: The Diagnostic Turn
16:01 Briefly Noted
19:40 Synthesis and Outlook
📄 Full review with sources: https://getaisentinel.com/rf/en/2026-09-22
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