AI can produce an answer in seconds. The answer may be clear, plausible, and even correct. Yet...
AI can produce an answer in seconds.
The answer may be clear, plausible, and even correct. Yet something about it can still feel wrong.
I do not think this discomfort comes only from hallucinations or poor model accuracy. Sometimes the real problem is simpler:
The AI returned an output, but it did not return the work in a form that another person can safely continue.
This is not a new problem created by AI. It is the same problem we already have when delegating work to another person.
AI can make mistakes, models hallucinate, models make stuff up - those are well-known complaints. Yet...
Your agent isn't hallucinating. It's reasoning correctly over the wrong inputs. Here's a failure...
AI hallucinations are false or unsupported outputs presented as fact. Learn why they happen, the risks they create and how…
AI doesn't make the same mistake because it's bad at the task. It makes the same mistake because it was tuned to please you, and…
One of the most expensive debugging mistakes in AI systems is assuming the model is the problem. A...
Confident chatbots could encourage users to stop fact-checking.
