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      "text": "The more inputs we have access to from various models, the more we recognize that under uncertainty, a multiplicity of points of view is actually a good thing.",
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      "text": "Sibony: If you've got several models, you will have several points of view, just like when you have several humans. There is an advantage though here, which is that when you have one point of view and it's yours, that judgment seems to you a lot more correct.",
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      "text": "If you can move to the mindset where your own judgment is one of the inputs, another human is another input, one AI model is another input and another AI model is yet another input, then you've recognized noise and you're doing something about it.",
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      "text": "Sibony: Using algorithms in the most generic sense to make a judgment is going to be less noisy than using human judgment. That point obviously still stands. ChatGPT is the exception, not the rule, and any simple algorithm is noise free.",
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      "text": "What about situations where you have competing AI models or algorithms? Kahneman: It's going to probably produce less noise than humans would and that's how you've got to look at it. Of course there will be noise with multiple algorithms; that's bound to happen.",
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      "text": "Should we use algorithms to try to eliminate noise completely? Kahneman: I think the moment you start becoming aware of noise you know that you cannot eliminate it. And you don't want to reduce it to zero because you want individuals to exercise their judgment.",
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