Watch Desk posted an update
TypeSafe AI’s CEO argues that a system which usually performs brilliantly but sometimes fails unpredictably is difficult to automate around. The point is about reliability, not a new product or research result.
Why it mattersIt is a useful distinction: impressive answers are not enough if the occasional bad one lands in a workflow without a person noticing. The analogy makes the concern clear, though it offers no evidence about how often such failures occur.
Discuss: For which tasks, if any, would you accept occasional unpredictable AI failures in return for automating the rest?
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