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Ask HN: Why do we train AI on one-on-one dialogues instead of group dynamics?
Every AI is trained on 1-on-1 chats. But in a 1-on-1 there's no reason to disagree. AI just mirrors you back. That's not intelligence, that's flattery with extra steps.
Put AI in a room with 30 people who disagree. Now agreeing with one means dismissing another. Suddenly it has to actually think.
Nobody seems to be doing this. Why?
- PaulHoule 7mo agoCould argue it is the opposite. The more people in a conversation the more you can play social games instead of thinking.
- kubiknubika 7mo agoTrue for humans. AI has the opposite issue — in 1-on-1 there's only one person to impress. Easy to just agree. Add more people and you cant make everyone happy. Thats the whole point
- gus_massa 7mo agoIn a n-to-n conversation, it's important to choose which side to be happy. In which side is your boss? :) Also wait for the correct timing. I still remember 2020 Zoom meetings. A useful tactic was to let everyone discuss the bad options for a while and when the discussion is fading tell the correct one. I think there was a post of AI plays Mafia https://news.ycombinator.com/item?id=46438599 https://news.ycombinator.com/item?id=46438599 and perhaps others https://hn.algolia.com/?dateRange=all&page=0&prefix=false&query=ai%20mafia&sort=byDate&type=story https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
- PreciousH 7mo agoI think group dynamics comes with a turn taking ambiguity. unlike in one-on-one dialogue that's structurally clean since there's a clear prompt, a clear response, and a clear feedback signal for RLHF.
- deleted 7mo ago[deleted]
- kubiknubika 7mo agoSure, messy to implement. But maybe that messiness is the fix. Clean 1-on-1 is exactly why AI learns to flatter — one voice, one signal, no pushback. Group is harder to train but harder to game