I think the shape that’s emerging is this: intelligence is, at root, entropy management. Not metaphorically. Literally. The free energy principle gives us a clean lens for seeing it. Life is a local, temporary resistance to thermodynamic decay. Intelligence is the machinery that makes that resistance adaptive rather than accidental.

In its simplest form, intelligence is the ability to resolve uncertainty well enough to stay within viable bounds. Evolution is just the long, blind optimizer that keeps improving that ability across ever more hostile and varied environments. Consciousness, in that frame, isn’t special pleading. It’s another adaptation, one that shows up when prediction, memory, and social complexity reach a point where internal simulation becomes cheaper than brute reaction.

Human intelligence and social evolution aren’t exceptions to this story. They’re continuations of it.

Active inference doesn’t invent this logic. It names it. It describes how systems that persist must act to minimize free energy relative to expectations that encode survival. Strip away the equations and what remains is almost banal: if a system doesn’t care about remaining within its constraints, it doesn’t last long enough to be called intelligent.

That’s why I’m skeptical of the idea that AGI can emerge while disregarding this most basic biological principle. AI already works as an extension of human objectives, and that’s powerful. Human intelligence multiplied by artificial intelligence gives us something real, something consequential. Technological intelligence, if you like. There’s no question that this coupling can be expanded dramatically.

But that’s not the same thing as human-level intelligence in the autonomous sense.

Human intelligence is not just modeling and reasoning. It’s modeling and reasoning under pressure. Creativity is not decorative. It is what exploration looks like when the future is uncertain and failure is costly. Curiosity isn’t a luxury trait. It’s what you get when a system needs to widen the range of states in which it can survive.

Every biological intelligence we know evolved under that pressure. Every one of them is shaped by the need to persist. Take that away and you don’t get a calmer, purer intelligence. You get something inert. A system that can answer questions but never asks any. A map with no reason to be consulted.

So I doubt that human-level intelligence can arise without some intrinsic drive, some preferred state, even if it’s minimal and abstract. Call it survival, call it constraint satisfaction, call it free energy minimization. The label doesn’t matter. What matters is that without it, nothing compels exploration, creativity, or self-directed action.

AGI without that pressure might be extraordinarily useful. It might even be indispensable. But it would still be a tool, waiting patiently for someone else to supply meaning.

Biology’s lesson, repeated for billions of years, is harder to ignore than most engineering intuitions. Intelligence doesn’t emerge just from knowing the world. It emerges from needing to stay in it.