Data storytelling is indeed a crucial thing!!
RESEARCH
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ChatGPT vs. Claude: Comparing AI Models with a Literary Prompt
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Side-by-side comparison: @OpenAI
's ChatGPT vs. @AnthropicAI
's Claude Each model is asked to compare itself to the machine from Stanisław Lem's "The Cyberiad" (1965) that can create any object whose name begins with "n": -
Denoising Errors Transformed Into Image Generation via Diffusion
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When denoising goes haywire and makes stuff up, call it diffusion and use it for image generation.
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Claude AI Model Compared to ChatGPT for Factual Accuracy
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Compared to ChatGPT, @AnthropicAI
's new model, Claude, feels somewhat less likely to make up facts, but the tendency is still there. E.g., when discussing what happened on each season of ABC's Lost, its memory is even more confused than most people's: -
Beyond Text: Multimodal AI’s Stunning Potential Beyond GPT
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Wrong lesson from GPT paradigm — text is all you need. Other modalities will be incredibly stunning. Can feel it already from DALL-E, which can do something quite useful despite its nascent language ability.
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Training Costs Stable Diffusion 512 768 4K Models Data
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SD 512 cost $600k to train, SD 768 probably $1.3M and 4K would cost $10M I think to train also where do you source billions of images
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Training costs for stable diffusion models scale exponentially
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SD 512 cost $600k to train, SD 768 probably $1.3M and 4K would cost $10M I think to train also where do you source billions of images
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Stable Diffusion Resolution Limitations and Future Improvements
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People don't realize that Stable Diffusion is trained on tiny pics of 512x512px! Which is why you're getting so many artefacts, it's like an AI with really bad vision that needs glasses Reso will exponentially increase: the smallest details can be properly simulated then
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SD2 768×768 Resolution Still Insufficient for Hand Detail
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Training resolution is 512×512 pics, with SD2 it's 768×768 so that's too small to see hands properly
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ChatGPT Progress Beyond AGI Focus
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ChatGPT is not AGI, but it’s a mistake to fixate on AGI so much that we don’t see the progress it represents.