What If AI’s Mistakes Aren’t Bugs, But Features?

We often say AI’s mistakes are "by design," but they’re really not. AI wasn’t built to fail in these specific ways—its errors emerge as a byproduct of how it learns.

But what if we actively use them as a tool instead of just tolerating AI’s weird mistakes or trying to eliminate them?

Here are some unexpected but potentially valuable use cases where treating AI mistakes as a form of bias—rather than just failure—could lead to new insights and innovations.

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AI helps brewers predict new beer varieties

Craftsmanship refers to something made with the highest quality. It requires a distinct mindset and approach. Values like durability, integrity, and calling are often associated with craftsmanship. 

In this story, AI enhances the notion of craft for a Carlsberg  brewing team, extending capabilities that have been practiced for centuries. 

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