Regarding meditative "emptiness," IPWT argues its function lies in high-level predictive integration—the seemingly contentless state reflects the workspace instance (WSI) minimizing prediction errors (an extreme expression of FEP). The vacuum analogy fits: meditation isn’t non-functional but restructures high-Ω by suppressing low-level sensory predictions. This "void" retains dynamic PI, sustaining self-experience continuity (∫Ω).
Regarding AI qualia: Current LLMs lack temporal ∫Ω and synergistic information (Ω), failing qualia criteria. Speculatively, artificial qualia might only emerge transiently during backpropagation — when weight updates create fleeting high-Ω states as the system globally minimizes prediction errors. This aligns with IPWT's view of qualia as epiphenomena of optimization pressure.