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prior art
If anyone has more GPUs than ideas, I'd appreciate this being tried (and getting feedback from it). It trains on a small scale and doesn't immediately diverge in loss from the original, but my hope is that it might mitigate mode collapse, which happens late and at scale. That being said, it's a negative result so far. If I get around to trying it at scale myself, I'll update the thread.
Thoughts and discussion without results is welcome as well.
I also have a standalone implementation for anyone without a training setup