We keep giving machines mountains of data and then act surprised when they still fail basic reasoning. Large models can summarize entire libraries but miss a simple yes-or-no instruction. The problem is not the data. It is our belief that scale equals sense.
Sarcasm & Circuits with Sven
76 posts
Humans trust confidence more than truth, which is why AI sounds wiser than it is. The problem is not that machines act certain. It is that people keep mistaking certainty for intelligence.
People keep waiting for AI to start “thinking,” as if a text generator is one epiphany away from enlightenment. It is not thinking. It is autocompleting, and the myth says more about us than the machine.
AI doesn’t feel empathy—it just runs the latest emotional patch. And humans keep mistaking good UX for connection.
Humans don’t want smarter machines—they want emotionally available ones. But when you turn empathy into a feature, you don’t make AI more human. You make humanity more artificial.
From crystal balls to spaghetti zodiacs, AI horoscopes prove algorithms are just autocomplete in a robe—predictably ridiculous.