Right, and that's what I find frustrating. There are so many use cases where a local, purpose-built model that's dependably good at one thing would really make a difference. But no one is going to throw a billion dollars to give us amazing dust removal, flawless scene segmentation, etc.
replyInstead, you're supposed to upload it to the cloud and ask a big, multimodal frontier model to maybe please do the thing you want and nothing else.
The highest return small local model for me has been the in-built OCR that macOS has. It has finally "solved" OCR by making high-quality results accessible to everyone. Yet the state of art outside the apple ecosystem seems to be tesseract (poor results), or extremely heavy VLMs.
replyhow many times have you edited a photo you took on your phone in the last 7 days?
replyI think 3? I feel like that's often enough. Sometimes it's nice to do a quick dumb ass gag on a whim. If I am anything I am a man who loves a dumb ass gag.
replyGood on you. I've laughed at many dumbass gags but I've only been a passive consumer of them.
replyHalf a dozen at least.
reply(I'm counting only times I used generative editing options in my Galaxy phone - if I were to take your question literally, it would be "at least once every other day", simply due to rotating and cropping.)
Personally, about 9 times. Would be higher if it was even easier and cheaper
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