cchapman.bsky.social
Researcher, psychologist. Author "Quantitative User Experience Research" (w/Rodden), "R | Python for Marketing Research and Analytics" (w/Feit & Schwarz). Previously 24 yrs @ Google, Amazon, Microsoft. Personal account.
Blog at https://quantuxblog.com
353 posts
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383 following
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That might support the claim about R at universities ... or OTOH it may suggest that unis are getting folks ready to use R in industry. (The books concern R/Python in marketing analytics.)
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As to claims that R will leave "industry" and return to academia ... I'm not sure those can be cleanly distinguished.
One of my books has an R edition and a Python one. The R one sells more & is used in 100s of uni courses. I know of 160 syllabi using the R edition, vs 1 using the Python edition.
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As well as the "long-standing history and tradition" of collapsing in the desert.
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Bad facts make bad law. (Or some translation thereof into UX space.)
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Literally 8 minutes ago, my wife asked when I would be "generally free" to deal with some dog appointments.
Of course I said, "Uh, what do you mean by 'generally'?"
(OTOH generally I do not recommend asking that! 😂)
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Great summary of the incoherence!
Just as many animals are intelligent, I imagine computers (probably not LLMs) could be 'intelligent' someday. And also unlike humans. Yet all evidence is that it is a distant possibility.
Meanwhile we should focus on what dominant powers are doing with LLMs.
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+100. A while back, I wrote a moderately "technical" (psych & philosophy) post about how we don't even know what AGI is: quantuxblog.com/were-far-fro...
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Good point! (I'm also an advocate for embedded, product-specific analytics teams and there is an interaction for sure. But that also "depends" ...like everything in DS 😂)
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Similar. IMO intake processes create work and don't solve the underlying problem, which I see as being about stakeholder relationships.
If a team has good relationships, intake happens automatically. If not, intake won't fix them.
I can imagine good uses ... just haven't observed them, my 0.02!
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Same! 😂
Side note. I was talking yesterday about a particular package that was last updated in 2014 and still runs perfectly. Base R.
I contrasted tidy code (not mine) from 2024 that now hopelessly fails and I have no idea why (changes related to purrr??)
Anyway, great piece! 👏
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My FAVORITE joke about the moon landing conspiracy theories is, "They hired Stanley Kubrick to fake the first moon landing, but he was such a stickler for detail that they had to film on location."
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Outrageous slander, I say!
I prefer Star Trek stickers 🖖
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Correction ... maybe the right math is that I made it 5.3 years until now, hard to calculate even that at the moment 😷
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This is what I don't get about most of the success stories for LLMs.
There is no particular lack in the world of boring books, mediocre art, code for yet-another-app, error-ridden reports, internet search results, superficial data analyses, etc.
Sure, AI makes "more" but do we need that?
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Full blog - you should *absolutely* read it deplet.ing/the-copilot-...
I also find these AI tools helpful when it’s doing the routine task I’ve done many times and can do it with eyes closed
But… it’s not helpful when I want to build something GREAT that is elegant, and better than before
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Same thought about buying/return (although in Seattle we do have a reasonable mix of Yamaha & Roland models in shops. The Montage plays great, for $$$!)
OTOH I mostly play an acoustic piano, so digital models all challenge me.
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Have you played one live? Would definitely recommend that (for any piano, not specifically about the Numa in any way). And if so, would love to hear a report.
Anyway, following!