This story was originally published on HackerNoon at: https://hackernoon.com/everyone-is-missing-gpt-4o-why-people-prefer-it-to-gpt-5.
GPT-5's launch revealed reliability issues, slowing productivity and frustrating users. The key lesson: design systems resilient to model volatility.
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TL;DR. GPT-5 promised fewer hallucinations, a thinking mode, and adaptive routing. Launch issues made it slower than GPT-4o, models were removed without warning, and developer tooling regressed, with coding tasks taking 4 to 7 times longer. Teams missed GPT-4o because it felt faster, warmer, and more reliable. The takeaway is not to cling to GPT-4o. Build resilience. Use abstraction layers, multi-model fallbacks, and rollback plans so your systems survive provider volatility.