"My conclusion is that artificial intelligence is antithetical to human cognition,"
"I even call it anti-intelligence."
"An apple doesn't exist as an apple,"
"It exists as a vector in a hyperdimensional space."
Large language models do not understand meaning in a human sense; they represent words as mathematical objects—vectors in a hyperdimensional space—and identify statistical patterns to generate responses. Outputs are optimized for coherence and fluency rather than comprehension or stepwise reasoning. This ordering reverses typical human cognition by delivering polished answers before humans move from confusion through exploration to structured confidence. Rapid, smooth AI outputs can incentivize speed over thinking in workplaces, undermining judgment, reducing deliberation, and weakening the development of human understanding and critical reasoning.
Read at Business Insider
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