Why scaling LLMs won't lead to real agency: A 3-tier Embodied AI architecture
Far-Start-1789 · reddit · 2026-08-27
The author argues that scaling frozen static models cannot create true agency or self-consciousness, proposing an Always-On Embodied AI Architecture with three tiers:
- Level 2 (Cognitive Core): Always-on decaying feedback loops with a working memory buffer.
- Level 1 (Edge/Boundaries): Attention gating (Thalamus-like), processing proprioception (Watts/Thermal/Position) and motor generators.
- Level 0 (Hardware/Periphery): Ultra-fast reflex arcs and smart battery management.
Key mechanics include using exponential decay ($\gamma < 1.0$) for a "fluid present," deducing agency via an Efference Copy auditing physical costs (Watts, thermal spikes), generating "pain" from homeostatic deviations to drive motivation, and an offline "Sleep Mode" using experience replay to prevent catastrophic forgetting without destabilizing real-time weights. The author seeks critique on hardware bottlenecks, specifically if Von Neumann architectures can support the $t-1$ loop or if neuromorphic hardware is required.
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