I was wrong about being wrong about AI
TL;DR
"Humans are the intelligence algorithm": Bitar rejects his earlier framing that intelligence is like an app running on humans, and instead says intelligence is inseparable from the whole evolved creature.
AGI would require repeating nature's 4 billion-year search: His main claim is that intelligence emerged from autopoietic, self-maintaining systems exploring chemical and physical space over billions of years, and there are no shortcuts around that process.
Current AI is a model of behavior, not intelligence itself: He says training on human language is a hacky shortcut that produces snapshots of what humans say, which is like a map and not the terrain, or a painting and not the landscape.
There is no abstract thing called intelligence to reverse engineer: Bitar argues that "intelligence" is just a label humans assigned to a bundle of behaviors, not a clean object in the world that engineers can isolate and rebuild.
His skepticism is methodological, not spiritual: Even while admitting his private beliefs are not fully secular, he tries to make the case using materialism alone and says humans are "beautiful creatures" because they are the apex of an evolutionary search, not because of souls or magic.
The Breakdown
Mo Bitar walks back his own flirtation with AI optimism by arguing that intelligence is not an algorithm humans run, but something humans are: the product of a 4 billion-year evolutionary search that cannot be shortcut into AGI. His core reversal is blunt: there is no real path to AGI through current machine learning, because models are only paintings of human behavior, not the living process that produced it.
Was This Useful?
Share
Keep Reading
Make Alcreon Yours
Tune your feedFive quick questions, and the feed ranks what matters to you first.Or just get notified
The weekly Echo. Signal worth keeping in your inbox.
Every new piece, announced on X.
Read Next
See all
Playbook
Tasteful Skills
“Tasteful Skills” argues that the best agent skills are not documentation or best-practice lists.

Playbook
The Art of Tasteful Prompting
Learn how tasteful prompting helps you move beyond generic AI output by shaping context, style, and judgment from the start.

Playbook
The Codex /goal Playbook
OpenAI shipped /goal for the Codex CLI. It turns a prompt into a persisted, self-continuing contract.