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Is Surprisingly Good Performance a Good Idea?
When you say surprisingly good performance, does that mean state of the art on some task? Or we're surprised that it worked at all, but it's not particularly useful or state of the art? It wasn't state of the yard. But in terms of, if you say, i want the best in the world image classifyitm i going to first train on language and then only have a linear layer and input in the output to work with. No, that's not yet. Or maybe we'll never. Give us the best world image classifier. I don't know.