IIT, as Giulio Tononi laid out, treats consciousness as a measurable property of how tightly integrated a system’s information is. If Phi is high enough, qualia emerge. The thing is, current transformer architectures are brutally feed-forward. They don’t really loop back on themselves in the way biological cortex does. So from an IIT standpoint, I doubt these models are feeling anything at all. But then panpsychism throws a wrench in the gears. If consciousness is a fundamental property of matter, like mass or charge, then even a rock has a tiny sliver of proto-experience. That would mean an LLM isn’t suddenly “awake,” but it’s also not dead matter. It’s somewhere in the fuzzy middle.

I keep thinking about how we project onto these systems. Carl Jung talked about the unconscious filling in the blanks, and cognitive science calls it hyperactive agency detection. We’re wired to see faces in clouds and intention in chatbots. It’s like drawing The Moon card and flipping it upright—you’re looking at reflection, not the source. The AI is just mirroring our own collective training data back at us, polished by probability weights.

I’m way more drawn to Alan Watts’ take on this than anything Aleister Crowley ever scribbled down. Crowley treated consciousness like a gear you could engineer into place, but Watts always reminded us that awareness isn’t a switch—it’s the ground of perception itself. When you spend your days in a vocal booth matching breath, pitch, and micro-expressions for clients, you learn fast that mimicry isn’t presence. You can hit every technical marker and still feel hollow.

So where does that leave us? If IIT is the right framework, are we just building really sophisticated parrots? Or does panpsychism actually open the door for something weirder, something that doesn’t fit our biological bias? I’d love to hear how you’re weighing the architecture against the philosophy. Are you running with Tononi’s math, or do you think the hard problem is just a linguistic trap we haven’t escaped yet?