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So long as I can refer to humans as so-called humans, it is all good!<br>
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<blockquote type="cite">On May 14, 2026, at 8:55\u202fPM, Roger Critchlow <rec@elf.org> wrote:<br>
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<div dir="auto"><a href="https://statmodeling.stat.columbia.edu/2026/05/14/as/">https://statmodeling.stat.columbia.edu/2026/05/14/as/</a>
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<div dir="auto">"<span style="background-color:rgb(255,255,255);color:rgb(55,55,55);font-family:georgia,times,"times new roman",serif;font-size:16px">Previously it didn\u2019t feel like such a crime to talk about intelligence or learning in machines because nothing
really worked that well, so the labels were clearly aspirational. But now it\u2019s much easier to believe the simulacra. And so it becomes harder to tell when we are using human-oriented terms as a predictive convenience versus a scientific claim versus a marketing
device."</span></div>
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<div dir="auto"><span style="background-color:rgb(255,255,255);color:rgb(55,55,55);font-family:georgia,times,"times new roman",serif;font-size:16px">"</span><span style="background-color:rgb(255,255,255);color:rgb(55,55,55);font-family:georgia,times,"times new roman",serif;font-size:16px">Too
much casualness with words is unscientific. There was no good reason in the first place to call the token sequences a model produces when we ask it to \u201cexplain its reasoning\u201d reasoning, other than that\u2019s what we wish we could see."</span></div>
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<div dir="auto"><span style="background-color:rgb(255,255,255);color:rgb(55,55,55);font-family:georgia,times,"times new roman",serif;font-size:16px">And much more</span></div>
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<div dir="auto"><span style="background-color:rgb(255,255,255);color:rgb(55,55,55);font-family:georgia,times,"times new roman",serif;font-size:16px">-- rec --</span></div>
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