Your tournament felt democratic. AI uses something that looks similar but works very differently. Here's the comparison.
Two people pitch their idea. The loudest, most confident, or most persuasive voice often wins the first round, even if their idea isn't actually better.
The winner of each round carries forward. More people join the decision. Social pressure builds, it gets harder to challenge the front-runner.
But did the best idea win? Or did the most confidently-presented one? These aren't always the same thing.
Once enough people agree, everyone else tends to go along. The group's choice feels correct, because everyone chose it.
AI reads the entire conversation so far and asks: given everything written, what word or phrase is most likely to come next?
Thousands of possible next words are ranked by probability. The ones that appeared most often together in training data score highest.
AI picks from the top-ranked options, not because the answer is true or right, but because it statistically fits what usually comes next.
AI presents every answer in the same confident tone, whether it's correct, partially right, or completely made up.
In your tournament, confident pitches won early rounds. In AI, frequently repeated patterns in training data score highest, even if they're wrong. Popularity ≠ correctness in both cases.
Your class built on whichever ideas won earlier rounds. AI builds each word on what came before it in the conversation. Both systems are shaped by what already happened.
You actually believed your idea was better. AI doesn't believe anything. It has no preferences, no curiosity, and no stake in whether its answer is useful or true.
When AI recommends a product, song, or answer, it's reflecting what was most common or most clicked in its training data. Just like how the loudest room shaped your vote.
After the Socratic, you might realize a quieter idea was actually better. AI can't reflect on its own answers. It doesn't know when it was wrong unless you tell it.
Your group cared about fairness, creativity, or what would actually stump the AI. AI doesn't care about any of that. It just generates what statistically fits.
AI sounds confident for the same reason the winning idea in your tournament sounded right, because it was repeated, reinforced, and presented without hesitation. That doesn't make it true. The difference is that you can notice when you were wrong and update. AI just keeps going.