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ChatGPT lies then gaslights reporter with fake transcript
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<blockquote data-quote="Umbran" data-source="post: 9771572" data-attributes="member: 177"><p>Fine. Junkware. It does not seem to be generating significant value when it gets there. We'll talk about that more in a bit...</p><p></p><p></p><p></p><p>"Remaining staff". So, staff has been let go. You then replace their productivity with that supposedly produced by AI. To-may-to, to-mah-to.</p><p></p><p></p><p>That is actually where the topline is - in supposedly reducing costs by reducing headcount. Doing the same job with fewer people.</p><p></p><p></p><p></p><p>Yes! Exactly! How is this not "replacing workers with AI?</p><p></p><p>Except....</p><p></p><p></p><p></p><p>No, it is growing because corporate suits are being told that, and sold a product, not because the value is actually realized. Hype and marketing.</p><p></p><p>Sales of enterprise AI generally focuses on two use-cases:</p><p></p><p>1) replacing low-level employees with AI - like, say, removing humans from call centers, so that customers never speak to humans on the phone.</p><p></p><p>2) supposedly increasing productivity through employees using AI in their work.</p><p></p><p>#2 is generally demonstrated by showing how quickly an individual can complete an atomic task with AI, and assuming that you do that across many tasks, and thus increase productivity.</p><p></p><p>It is <em>not</em> demonstrated by comparing entire teams on large efforts, so downstream effects of AI use are hidden.</p><p></p><p>It is all well and good if a coding task is completed quickly, but if the AI-using team winds up spending more time fixing bugs the AI introduces that humans don't, or the resulting code is not performant or is fragile, overall productivity doesn't go up!</p><p></p><p>Your lawyer spends less time creating a brief, but either they spend more time reviewing and editing out hallucinated case references, or get their licenced yanked - no increased productivity!</p><p></p><p>This is the general pattern seen - AI tools increase the need for editing and correction enough to eliminate their supposed increase in productivity.</p></blockquote><p></p>
[QUOTE="Umbran, post: 9771572, member: 177"] Fine. Junkware. It does not seem to be generating significant value when it gets there. We'll talk about that more in a bit... "Remaining staff". So, staff has been let go. You then replace their productivity with that supposedly produced by AI. To-may-to, to-mah-to. That is actually where the topline is - in supposedly reducing costs by reducing headcount. Doing the same job with fewer people. Yes! Exactly! How is this not "replacing workers with AI? Except.... No, it is growing because corporate suits are being told that, and sold a product, not because the value is actually realized. Hype and marketing. Sales of enterprise AI generally focuses on two use-cases: 1) replacing low-level employees with AI - like, say, removing humans from call centers, so that customers never speak to humans on the phone. 2) supposedly increasing productivity through employees using AI in their work. #2 is generally demonstrated by showing how quickly an individual can complete an atomic task with AI, and assuming that you do that across many tasks, and thus increase productivity. It is [I]not[/I] demonstrated by comparing entire teams on large efforts, so downstream effects of AI use are hidden. It is all well and good if a coding task is completed quickly, but if the AI-using team winds up spending more time fixing bugs the AI introduces that humans don't, or the resulting code is not performant or is fragile, overall productivity doesn't go up! Your lawyer spends less time creating a brief, but either they spend more time reviewing and editing out hallucinated case references, or get their licenced yanked - no increased productivity! This is the general pattern seen - AI tools increase the need for editing and correction enough to eliminate their supposed increase in productivity. [/QUOTE]
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