When AI models are trained on image datasets and asked to reconstruct or generate new images, they often produce distorted, generalized, or abstract representations rather than accurate reproductions, because the model learns compressed latent representations rather than exact pixel data.
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AI's Dream Pokémon is Nothing Like the Real Thing #reconstruction #ai #shortsAdded:
I trained an AI every type of Pokémon.
Will it be able to create a new species of Pokémon or create [music] a new species of Pokémon? First, I grabbed a Pokémon dataset from Kaggle, which will be about [music] 50,000 images, and then I trained the AI with it. I can't wait to give these ideas to Nintendo and become the best Pokémon designer ever. I will [music] be able to create every type of Pokémon that could and would exist from the AI's current knowledge.
Jokes aside, after several hours of training, [music] these were the results. These looks like some low-quality Terraria bosses you would fight while playing on your grandmother's [music] computer. Either way, that's just what my AI model thinks of Pokémon generally looks like. [music] It has an interesting imagination, I could tell you that. What should I train next?
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