[rangibaby]

The end results are much, much better than I thought they would be. Luckily, I think it would be easy to fool the training by thinking about a totally different image to the baseline one. Idk if that would stand up to rubber hose cryptanalysis, but there’s got to be a way that can.

[dannyw]

The end results show an overfit model. It's not predicting that specific input out of an option space of everything; it's essentially predicting that mode (out of the 4) and probably capturing things like "if brain's audio regions are active, it's a waterfall, because waterfalls are loud and trigger that".