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A mental model of GPTs that's pretty successful at predicting their behaviour at the limit of large scale is an N-Gram model trained on a much larger internet t
by QuadmasterXLII 2y ago
A mental model of GPTs that's pretty successful at predicting their behaviour at the limit of large scale is an N-Gram model trained on a much larger internet than the real one. If you search the real world's internet for the text
```
You are a helpful and harmless AI assistant.
What do you think about the following text?
Joe drove Sue to university. Afterwards he drove home again
and drank a tea with her in the kitchen.
```
It would be exponentially unlikely to show up even once. But if you could keep re-rolling the internet from whatever probability distribution generated it, eventually (and I mean eventually- every additional token in the prompt will require ~10,000 times more re-rolls of the whole internet) the whole prompt will show up, and you can just grab the next word. An N-Gram model trained on that massive multi-internet will answer the question in a human fashion. (likely, copied from a human writing science fiction).
- viccis 2y agoOne of the impressive results of this to me is that it can capture illocutionary meaning, which is something that language modeling struggled with in the past. This is why if you say "Are you sure?" after one of its statements, it will often completely flip its statement to the opposite rather than interpreting "Are you sure?" as a discursive question.
- Filligree 2y agoAn interesting way to think about it, but if it did that perfectly... wouldn't it effectively be human-level intelligent? Sure, it isn't any _particular_ human, but I don't see a big difference otherwise.
- Jensson 2y agoNo, since that larger internet is still not infinitely large, it still fails in dumb ways once your question is a tiny bit stranger.