
Solved: The new Coca-Cola christmas ad is a load of ai-generated slop. Is it intentional?
🚀 Executive Summary TL;DR: The flawed Coca-Cola AI ad exemplifies a broken automation pipeline where processes validate execution but not output quality, leading to ‘AI slop.’ The solution involves implementing robust quality gates, ranging from mandatory human approval steps to advanced automated output validation using tools like perceptual hashes or policy-as-code, to ensure generated content meets standards before deployment. 🎯 Key Takeaways A ‘green checkmark’ in CI/CD pipelines only signifies successful code execution, not the quality or correctness of the generated output, especially when integrating generative AI. Implementing a ‘Manual Gate’ (human approval step) before final deployment is a quick, 100% effective method to prevent low-quality outputs from reaching production, though it introduces a bottleneck. Automated quality gates, such as using Perceptual Hashes (pHash) for image validation or Open Policy Agent (OPA) for Infrastructure as Code, enable ‘shifting left’ quali
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