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-bounces at r-project.org> On Behalf Of Bert Gunter
Sent: Monday, July 17, 2023 2:46 PM
To: R-help <R-help at 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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