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Update: A harsh review on my old AI art generator project made me rethink everything
About two years ago, I posted my first text-to-image model on GitHub. A user commented, 'Your outputs are just weird variations of the same three faces, it's not real generation.' That stung, but they were right. I was basically overfitting on a tiny dataset of like 500 portraits. I scrapped the whole thing and spent six months building a proper scraper to gather 50,000 diverse images. The difference wasn't just better faces, the model finally started understanding prompts about objects and scenes. Has anyone else had a piece of blunt feedback that totally redirected your approach?
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wright.finley14d ago
Used to think more data just meant bigger files. That review shows it's about the RIGHT data, not just more of it. Totally changed how I see building anything now.
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jordant6914d ago
Yeah the "right data not more data" thing is spot on. I see it all the time with smart home setups. People buy every sensor but then get flooded with useless alerts. The trick is picking just the motion sensors for rooms you actually use, not every hallway. Quality over quantity every time.
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