"Artificial intelligence doesn't just operate differently from human thought but inverts nearly every cognitive constraint we face. AI exists in computational antithesis to human thought, something I've been calling anti-intellgence. This is where human cognition is memory-bound, and stateless. Where we strive toward fluency, it generates instantly. Where our judgment emerges slowly through error and revision, its outputs appear complete. Where understanding requires a sort of metabolic effort, confidence arrives without cost."
"But artificial intelligence operates under fundamentally different conditions. A large language model isn't constrained by memory in the human sense. And let's make this clear. It does not accumulate experience, revise beliefs over time, or carry ideas forward through biographical development. It is a stateless system designed to generate fluent responses by traversing vast patterns. And here AI projects a precarious sense of techno-authority."
Artificial intelligence inverts many cognitive constraints that shape human thought by producing fluent, coherent, and confident outputs without metabolic cost, memory-bound development, or gradual revision. Human understanding emerges through time, error, and effort; judgment forms slowly and meaning accrues through cognitive friction. Large language models are stateless pattern-generators that do not accumulate experience or carry ideas across time, yet they synthesize answers instantly and project techno-authority. The frictionless nature of AI risks conflating speed with insight and confidence with truth. Preserving human cognitive friction is necessary to sustain genuine understanding and to resist misplaced trust in effortless outputs.
Read at Psychology Today
Unable to calculate read time
Collection
[
|
...
]