Every new AI model insists that it is the greatest AI model ever in every way you can imagine. Obviously, that can't be true, but how well they each perform at different tasks and roles isn't always clear, and even supposedly neutral, quantitative tests might not accurately convey what they feel like for the average user.
One particular example is multimodal decryption – looking at an image and deciphering what's in it and what it might mean. It's something humans do instantly and instinctively, but AI models are newer to the role. Getting an AI model to accurately interpret a chaotic image might matter more than you would think at first. If an AI model can identify objects, it could help you catalog belongings for insurance, identify hazards in a home, or even decipher a transit map. An AI model that can make sense of complex, layered visual information without inventing details is incredibly useful.
