The Paradox of AI: Advanced in Math, Lagging in Automation
By
drivian
A baker's-dozen of insight crammed into one ring.
Summary
The article discusses the disparity in AI model performance, highlighting how models excel in complex tasks like mathematical Olympiads but struggle with simpler enterprise use cases. It questions why automation lags despite advancements in model intelligence.
Key quotes
· 3 pulledGPT-5 wasn’t the step change that people were expecting.
OpenAI and Google models were on par with gold medallists in the International Mathematical Olympiad 2025 (IMO).
Why are models so much better at complex maths tasks that only few humans can complete, while struggling at simple enterprise use cases?
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