AI Isn't Just a Tool--It's a Test [View all]
AI is a test not of its intelligence, but of ours.
John Nosta
Updated May 13, 2025 | Reviewed by Kaja Perina
https://www.psychologytoday.com/us/blog/the-digital-self/202505/ai-isnt-just-a-tool-its-a-test
Pithy quotes:
The danger is not in what the AI knowsit "knows" nothingbut in what we assume it knows because it sounds like us.
The machine doesnt ask to be trusted. We choose to trust it. It doesnt decidewe do. The real risk isnt what AI becomes, but what we become when we stop showing up.
Two recent articles point to something subtle but significant unfolding in our relationship with artificial intelligence. In
Rolling Stone, writer Miles Klee critiques the growing presence of AI with a cultural skepticism thats hard to ignore. He paints it as theaterflashy, convenient, and uncomfortably hollow. In contrast, my own post in
Psychology Today offers a different but related view that AI, especially large language models (LLMs), present what I call cognitive theateran elegant performance of intelligence that feels real, even when it isnt. Klee questions the cultural spectacle. I question the cognitive seduction. Both perspectives point to the same deeper truth that is as fascinating as it is concerning.
I see it almost every day. Smart, thoughtful people become wide-eyed and breathless when an AI tool mimics something clever, or poetic, or eerily human. Theres often a moment of awe, followed quickly by a kind of surrender.
This isnt gullibility, its enchantment. And I understand it. Ive felt it too. But part of my job nowpart of all of our jobsis to gently pull people back from that edge. Not to diminish the wonder, but to restore the context. To remind ourselves that beneath the magic is machinery. Beneath the fluency, prediction. And that if we mistake performance for presence, we may forfeit something essentialour own capacity to think with intention.
The Performance of Thought
Todays AI doesnt think in any traditional sense. It doesnt understand what it says or intend what it outputs. And yet, it speaks with remarkable fluency, mimicking the cadence, tone, and structure of our real thoughts. Thats not a bugits the design. Large language models operate through statistical prediction. They draw on enormous datasets to generate text that fits the prompt, the moment, and often the emotion of the exchange.
But heres the catch, the more convincing the performance, the more likely we are to suspend disbelief. We hear intelligence. We project understanding. And over time, the line between real and rendered cognition begins to blur.
Lots more at the link.
https://www.psychologytoday.com/us/blog/the-digital-self/202505/ai-isnt-just-a-tool-its-a-test
Who remembers Eliza?