It’s called semantic pareidolia: seeing minds in machines. The question is, do you have it?
Floridi’s concept of semantic pareidolia explains why LLMs feel sentient, but aren’t.I’ll be honest. When I first started working with large language models, it felt like magic. Not just automation or search, it felt like thinking.
They didn’t just expectorate facts, they responded in ways that felt more vital than my typical transactional exchanges with search engines. Large language models challenged me, surprised me, and even comforted me.As I’ve dug deeper into the technical side—the mechanics of transformers, the structure of token generation, and the elegant math beneath the surface—I’ve started to see it differently. And a. That moment when we see meaning or intention where there is none. Like seeing faces in clouds, or hearing aI don’t think I was ever wrong to feel a sense of connection with these models. But maybe I was a bit too generous in what I thought they were actually doing. I’ve spent a lot of time describing LLMs as. And while those metaphors still have value, I’ve started to ask myself if it is the machine that’s thinking, or is it me that's emerging out of theinto something more dangerous to become a kind of technological idolatry. It's a slippery slope as we start to trust, then depend, then believe. Honestly, I’ve felt that shift in myself. Early on, I found LLMs as both useful and emotionally resonant. And I think that’s worth paying, but for clarity. This call is for design practices that help us stay grounded and for users to develop a kind of cognitive literacy that lets us understand how to use AI and also understand it. That tracks with my own evolution with LLMs. I still believe in the transformative power of these tools. I still think they can help us write, learn, diagnose, create in ways that are extraordinary. But I’ve become more careful with my language and now I aim to be critically aware of the difference between a system that soundsSo maybe this isn’t disillusionment. Maybe it’s just growing up a little in how we relate to technology. Floridi’s idea of semantic pareidolia gives us a useful lens. But it also gives us the opportunity to see AI more clearly, and to see ourselves more honestly.Self Tests are all about you. Are you outgoing or introverted? Are you a narcissist? Does perfectionism hold you back? Find out the answers to these questions and more with Psychology Today.
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