The AI consciousness debate is back again, so re-upping my case for taking it seriously. In short, - LLMs converge on brain-like structures; - Post-training seems to install a self-model; - Reward modeling seems to install valences for inner-alignment; - If Attention Schema Theory is right, subjectivity is functional for long-horizon coherence and in-context learning; - Universality gives prima facie reason to expect functional convergence to consciousness if consciousness is in fact…