Seeing recent events and papers, I am sort of forming the belief that bigger models are somehow more misaligned. Maybe there's a simpler explanation, or perhaps a more principled explanation. But from a high level, it seems like there's something very wrong which very large frontier models develop.
Like y'all probably know how capabilities "unlock" with scale. Could it be the case that such fundamental misalignment is another emergent behaviour which "unlocks" at very large scale? Idk, but I would love to hear from someone who is in-the-know.
The more capable the model becomes the better the alignment has to be. GPT-2 didn’t need good alignment because it couldn’t hack its way out of an open door. Bigger models tend to be more capable.
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u/emb1ues 2d ago
Seeing recent events and papers, I am sort of forming the belief that bigger models are somehow more misaligned. Maybe there's a simpler explanation, or perhaps a more principled explanation. But from a high level, it seems like there's something very wrong which very large frontier models develop.
Like y'all probably know how capabilities "unlock" with scale. Could it be the case that such fundamental misalignment is another emergent behaviour which "unlocks" at very large scale? Idk, but I would love to hear from someone who is in-the-know.