Image fine tuning, false positive content policy violation

Yeah sorry @wguo6358 :cry: and you’re right that we have to make a tough tradeoff between blurring images vs skipping them. We’d rather introduce fewer surprises for why a fine-tuned model might perform poorly, and those surprises happen more frequently if we just blur stuff.

@AndrewMayne I don’t know what I’m allowed to say or not say but trust me, I totally feel you and I wish we had better precision around which datasets were harmful vs not. We’re working on it, believe me! We’d like to enable more safe use cases.

@curt.kennedy @anon10827405 Sorry folks, to be extra clear, we’re talking about trust tier, where we review use cases from our partners (big and small). As @anon22939549 said, no one can get past this simply because they pay us more. Thanks for the backup @anon22939549!

We’re working on making this experience smoother, I promise. We knew this was gonna be a challenge for our developers, and we’re continuing to collect feedback to see how we can make this better for you all. Keep it coming!

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