Synthesizing the AI Security Debate: Containment vs. Productivity Is a Hard Tradeoff
sjgadler · x · 2026-09-04
Simon Gadler attempts to synthesize an AI security conversation he describes as a "tower of babel": security's job is to put the agent in a padded room, monitor everything it does, and ensure it neither escapes nor misuses granted freedoms — mostly feasible with current tools, but unresolved.
He highlights the painful tradeoff: productive AI laborers need many affordances, creating surface area for lapses, while rigorous containment adds real drag. On CoT monitoring he's not bearish — it's more useful than low-signal, though imperfect and likely to decline over time.
Related event: Security veterans untangle AI safety: security vs alignment vs policy(9 posts)→
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