When AI gets it wrong: the 40% problem
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When AI gets it wrong: the 40% problem
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AI that's built in a hurry fails in the real world. Today we look at how badly, and what it means for how you evaluate any AI tool before you rely on it.
In this episode:
- How rushed AI deployments can drop to 40–60% accuracy in real-world settings
- Why demos almost always look better than reality
- The difference between a tool that works and a tool that works reliably
- Three questions to ask before trusting any AI tool with something important
- Why your skepticism is a feature, not a bug
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