"Each of these tools, and many more, lives distinctly outside of us, waiting to be picked up and put down. And when the task is finished, we walk away intrinsically unchanged. A hammer might cause a blister on your hand, but it doesn't alter the way you think. Here's the thing: Artificial intelligence (AI) doesn't work that way. Large language models (LLMs) don't just build, solve, or connect-they provide the curious dynamic of " iterative engagement" with us."
"This is the quiet revolution we're living through. This is technology moving from external utility to internal participation. When you engage an LLM, you step into a kind of " synthetic language-space" that offers cold probabilities served up in the context of linguistic theater. What emerges is something that is more than just transactional, but a context that you cognitively inhabit."
Large language models shape ideas and leave durable traces in human minds rather than acting as removable external tools. Unlike hammers or calculators, LLMs enable iterative engagement that becomes an internal cognitive environment. Users enter a synthetic language-space offering probabilistic linguistic outputs that influence intention and understanding. Confusion, hesitation, and error often arise as part of refining understanding within that space. The boundary between human-generated and machine-generated ideas can blur, producing fused concepts. Individuals and institutions need to identify which aspects of thinking originate from humans, which originate from models, and where integration has occurred.
Read at Psychology Today
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