This seems spot on, given that Paul Bernal just posted a request to fit all 
possible models and compare them using r-squared. The all models approach does 
not promote understanding about what your model is saying about the data and 
how the system works. Nor does it facilitate fitting the methods to best 
address the research goals.
Tim

-----Original Message-----
From: R-help <r-help-boun...@r-project.org> On Behalf Of Bert Gunter
Sent: Monday, July 17, 2023 2:46 PM
To: R-help <R-help@r-project.org>
Subject: [R] Off-topic: ChatGPT Code Interpreter

[External Email]

This is an **off-topic** post about the subject line, that I thought might be 
of interest to the R Community. I hope this does not offend anyone.

The widely known ChatGPT software now offers what  is called a "Code 
Interpreter," that, among other things, purports to do "data analysis."  
(Search for articles with details.) One quote, from the
(online) NY Times, is:

"Arvind Narayanan, a professor of computer science at Princeton University, 
cautioned that people should not become overly reliant on code interpreter for 
data analysis as A.I. still produces inaccurate results and misinformation.

'Appropriate data analysis requires just a lot of critical thinking about the 
data," he said.' "

Amen. ... Maybe.

(As this is off-topic, if you wish to reply to me, probably better to do so 
privately).

Cheers to all,
Bert

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