Honestly one of the biggest reasons AI training still feels intimidating is because the workflow is unnecessarily painful for normal builders.You still end up dealing with random CUDA errors, dependency conflicts, broken environments, terminal commands, config files, dataset formatting, cloud GPU setup, checkpoint management, crashes, and 20 different tools stitched together just to fine tune a model. Meanwhile most people don’t actually want to become ML infrastructure engineers. They just want to train a specialized model for their own niche idea. I genuinely think there’s room for a platform where you could Upload dataset, Choose base model, Pick behavior/settings, Press train, Deploy API and That’s it. Almost like a “Canva” or “Shopify” moment for AI model training. Feels inevitable honestly. Once AI training becomes abstracted enough, the bottleneck shifts from infrastructure knowledge to creativity, data quality, and problem understanding. And I think that changes who gets to build powerful AI systems completely.
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