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6/17/2025, 2:58:12 AM
>>11312528
I see you're confused, no problem Gemini is here to explain:
AI-generated images have evolved dramatically from early, unrecognizable blurs to photorealistic and highly customizable creations. This transformation is largely due to the progression from basic pattern recognition to sophisticated Generative Adversarial Networks (GANs) in 2014, and more recently, the breakthrough of diffusion models like Stable Diffusion and DALL-E. These newer models, powered by vast datasets and increasing computational power, offer unparalleled photorealism, deep semantic understanding of text prompts, and fine-grained control over composition, enabling the generation of intricate, coherent, and highly diverse visuals that were once unimaginable.
tl;dr we have reached the point where the quality of talented human artists versus ai generated is becoming more difficult to tell apart. in fact, many artists wrongfully accused of AI will prove their work by uploading sketch timelapse videos.
I see you're confused, no problem Gemini is here to explain:
AI-generated images have evolved dramatically from early, unrecognizable blurs to photorealistic and highly customizable creations. This transformation is largely due to the progression from basic pattern recognition to sophisticated Generative Adversarial Networks (GANs) in 2014, and more recently, the breakthrough of diffusion models like Stable Diffusion and DALL-E. These newer models, powered by vast datasets and increasing computational power, offer unparalleled photorealism, deep semantic understanding of text prompts, and fine-grained control over composition, enabling the generation of intricate, coherent, and highly diverse visuals that were once unimaginable.
tl;dr we have reached the point where the quality of talented human artists versus ai generated is becoming more difficult to tell apart. in fact, many artists wrongfully accused of AI will prove their work by uploading sketch timelapse videos.
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