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computer scientists: we have invented a virtual dumbass who is constantly wrong tech CEOs: let's add it to every product
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I Make Things Up! strangely omitted from the list.
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having no relation to or concept of objective reality limits the usefulness of current "AI"offerings
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And yet, when I ask a question with what appears to be good context (a properly engineered prompt, if you will,) I get apparently useful results. For example: This question was about what damp leasing means in the context of airline operations. I had no idea. Now I do.
chatgpt.com
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I've subscribed to Aviation Week for over two decades. My experience is that one of the biggest barriers to understanding the nuances of a specialty is not knowing what the various technical terms means, i.e. the jargon.
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I had never heard the terms damp leasing or wet leasing before. ChatGPT explained them well, given a sufficient prompt. I argue that makes ChatGPT useful.
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By contrast, here is the non-AI search via duckduckgo: You will notice that the results are much more verbose. ChatGPT has made an accurate and succinct summary of the various sources about airline industry damp leases, and extended the discussion to wet leases.
damp leasing at DuckDuckGoduckduckgo.com DuckDuckGo. Privacy, Simplified.