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The LLM Lobotomy?
I am working on a product that uses Azure in the back-end for LLMs and Audio Models. Just like how I test the code for every release, every time I add or update things on the system prompts for calibration or new features I also test the conversational…
gpt-5 is as good as got-4o-mini was according to my tests, but insanely slow sometimes takes up to 20 seconds with minimal reasoning (which still produces bad results.) This is a bad business strategy, and not everyone is working on note taking apps and text summarization. What you are doing is bad, either provide better products and ask people to switch or keep things stable and backwards compatible.
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