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After watching hundreds of these runs, Gemini was by far the least frustrating model to observe.


In my admittedly limited-domain tests, Gemini did _far_ better at image recognition tasks than any of the other models. (This was about 9 months ago, though, so who knows what the current state of things). Google has one of the best internal labeled image datasets, if not the best, and I suspect this is all related.




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