It's a toss-up - NB Pro (and NB2) were in the lead for a long time, but gpt-image-1.5 and then particularly gpt-image-2 pretty much closed the gap on my GenAI Image Showdown benchmark site.
NB still generates better looking images though for the most part - gpt-image series is still affected by the yellow saturation issues though its been heavily mitigated.
gpt-image-2 still has a very visible banding/artifacting, but nb2 and gpti2 each have their strengths to the point that its momentarily worth running the same prompt through both and grabbing the better result, then feeding it to the opposite model to tweak it. both of them do a better job of not "getting stuck" regurgitating the same thing over and over when the base image comes from the opposite model. i tend to try and limit how many edits i make with gpti2 because successive iterations degrade the image much much faster.
Apple may be behind, and even getting sued for false advertising around AI features, but at least they haven’t spent hundreds of billions of dollars with no indication of how they’ll make their money back.
You’re right, they’re simply playing a different game. That said, Apple sold millions of phones with the promise that 3 months later users would be able to use AI to automate their phones and use Siri similar to how they use ChatGPT. That was summer 2024, and it still hasn’t shipped.
I'll give them images. Gemini/Nano Banana is notably better at understanding and generating images than OpenAI, imo, and Claude can't even generate.
While I'm at it I've got to give them credit for Gemma as well. Stellar, first class model for the size.
It's a toss-up - NB Pro (and NB2) were in the lead for a long time, but gpt-image-1.5 and then particularly gpt-image-2 pretty much closed the gap on my GenAI Image Showdown benchmark site.
NB still generates better looking images though for the most part - gpt-image series is still affected by the yellow saturation issues though its been heavily mitigated.
gpt-image-2 still has a very visible banding/artifacting, but nb2 and gpti2 each have their strengths to the point that its momentarily worth running the same prompt through both and grabbing the better result, then feeding it to the opposite model to tweak it. both of them do a better job of not "getting stuck" regurgitating the same thing over and over when the base image comes from the opposite model. i tend to try and limit how many edits i make with gpti2 because successive iterations degrade the image much much faster.
huge waste of firefly credits tho.
Apple may be behind, and even getting sued for false advertising around AI features, but at least they haven’t spent hundreds of billions of dollars with no indication of how they’ll make their money back.
You’re right, they’re simply playing a different game. That said, Apple sold millions of phones with the promise that 3 months later users would be able to use AI to automate their phones and use Siri similar to how they use ChatGPT. That was summer 2024, and it still hasn’t shipped.
Enough to pretend they were back in the game. All a stock pump.