"For a while, I saw anti- intelligence and human cognition as divergent forces, two vectors moving in opposite directions. AI as the mirror, humanity as the reflection. That seemed reasonable, even comforting: We would stay grounded in meaning and empathy while the machines raced ahead in pattern and prediction. But that separation began to feel wrong, or at least incomplete. AI isn't drifting away from us. It's moving closer, shaping how we learn, heal, and even imagine."
"Close one eye and the world flattens. Yet when you open both, depth appears. That small offset between perspectives-parallax-turns two flat images into the richness of a three-dimensional world. Across history, our personal thought has been this type of monocular perspective. Everything we knew about thinking came from a single vantage point, our own. Now, for the first time, another lens has entered the frame. Artificial intelligence doesn't think as we do, yet it produces something that looks remarkably like thought."
Anti-intelligence frames the distinct architecture of artificial intelligence, particularly large language models, as fundamentally different from human thinking. Early perception treated AI and human cognition as divergent vectors, with machines excelling at pattern and prediction while humans retained meaning and empathy. That perceived separation is incomplete because AI increasingly shapes learning, healing, and imagination. The parallax metaphor captures a new cognitive duality: two offset lenses—human and machine—provide depth when aligned. Artificial systems do not think like humans, yet they generate thought-like outputs. When both architectures observe the same problem from different angles, understanding gains dimensionality, creating parallax cognition.
Read at Psychology Today
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