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Decomposing the Monolith: Architectural Separation Reconciles AI Capability and Control
- Architectural decoupling resolves fundamental optimization conflicts within neural systems more effectively than scaling monolithic models. ⏱️ Chapters 00:00 Highlights 01:33 Architectural Decoupling Overcomes Optimization Bottlenecks 03:56 Robust Manipulation Emerges from Tactile Grounding and World Modeling 06:31 Long-Horizon Agent Reliability Depends on Memory Governance 08:59 Safety Evaluation Must Target Structural and Semantic Failures 11:24 Inference Efficiency Requires Algorithmic and Hardware Co-Optimization 13:55 Briefly Noted 15:52 Synthesis and Outlook 📄 Full review with…
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