Drexler on AI Safety: Using Architectural Planning Instead of Autonomous Agents
sebkrier · x · 2026-08-17
Eric Drexler explores how to harness superintelligent-level AI for large, consequential tasks without relying on risky autonomous agents. He notes that real-world tasks involve complex features like budgets, auditing, compliance, and division of labor. By organizing tasks into AI-agency role architectures—breaking them down into planning, action, and correction—and using competing proposals, we can safely apply powerful AI capabilities while maintaining human control.
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