Maurício Pinheiro
Ah, generative artificial intelligence! Just further proof that technological advances never cease to amaze us. It’s amazing how it can create brand new images, sounds and text from an existing dataset. After all, who needs human creativity when you can simply program a machine to do it for you?
But, as everyone knows, not everything is perfect. Generative AI is also famous for making some anatomical mistakes in its creations. Who hasn’t seen an AI-generated image with the wrong number of fingers or a misshapen mouth? Of course, these tiny anatomical details might not seem important to most people, but if you’re a surgeon or an artist who needs anatomical precision in your creations, these mistakes can be a real nightmare.
But why does generative AI make these mistakes anyway? Is she just not good enough? Or is it the fault of the data used in training the model? Perhaps human anatomy is too complex for a machine to fully understand? Anyway, it’s always easy to blame something or someone for the mistake, isn’t it?
And you know what the best part is? All this is the fault of the data! If the dataset used to train the AI does not include images with the correct anatomical features, the model may not learn to create realistic and anatomically accurate images. But who cares about that, right? After all, what matters is that the machine is doing the job, even if the result is a little weird and anatomically incorrect.
And if the AI can’t understand the structure of the hands or face, that’s not their problem. After all, human anatomy is so simple and easy to understand, isn’t it? Anyone can look at a hand or a face and understand its complex anatomy perfectly. There is no reason why a machine trained to do this should struggle.
But, ok, maybe the complexity of the imaging process could also be a factor. After all, who has never been involved in a complex multi-layered process and machine learning techniques? Of course, generative AI is a very human machine in that sense! After all, who never got involved in a learning process, right? But even so, it’s hard not to blame the AI for these anatomical errors – after all, the machine is there to be perfect in everything it does, right?
Anyway, maybe one day generative AI will learn to create anatomically correct images that are perfect in every way. But until then, let’s just enjoy the strange and curious creations she presents us with. After all, who knows if they become famous because of their unique and peculiar characteristics?
But, of course, we cannot forget the advances in technology that are helping to overcome these limitations. With the training of large-scale models and the correction of anatomical errors, the quality of the generated images has improved significantly. Has generative AI finally learned to create anatomically accurate images?
However, despite these advances, there are still limitations in the ability of generative AI to understand the complexity of human anatomy. After all, we are talking about a machine, not a human being with sophisticated sensory and cognitive abilities.
Anyway, generative AI is a technological marvel that never fails – unless the data is wrong, or the human anatomy is too complicated, or the imaging process is too complex… Ah, who are we kidding ? Generative AI still has a lot to learn, including what fingers, hands and feet are for! But it’s exciting to think about the future possibilities this technology can offer. Who knows, maybe one day generative AI can create images so realistic that they are indistinguishable from real photographs? The future is bright, and generative AI will certainly be part of it.
Here are some images created with Stable Diffusion 1.5 on PlaygroundAI.com. Have fun finding the mistakes.
And of course, with a little Prompt Engineering, anything is possible, including tricking the generative AI into fixing the bugs or turning them into a work of art.
Copyright 2025 AI-Talks.org
You must be logged in to post a comment.