Row 98748

Row ID: 98748 | Dataset Entry | Axioma AXP Content Repository

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Karl Popper’s positivism is the key difference. In science you can’t really prove something, but you can reject competing hypotheses for a phenomena. In other words, science proceeds via negative rejection, slaying one idea at a time until the best (or at least most resistant to falsification cough string theory cough) are left standing.

AI follows a drastically different path, in which money flows to leverage massive computing power to validate a vision. Generative AI is even weirder - we construct new positives through association.

So in this sense, the term “data scientist” actually would mean the opposite of what the job actually entails. I imagine if Popper had heard the term, he’d assume you’d spend most of your time demonstrating what can’t be done with the data.

Though I don’t want anyone to take this as if data scientists are somehow lesser. IMO, the strenuous process of cross-validation and data withholding are marks of better discipline than most scientists practice. I once tried to publish a paper using AI to show that a commonly accepted theory was inadequate to form predictions, and the peer reviewers weren’t able to comprehend cross validation (they called it “fake data”). I do think there is room for a more rigorous concept of the “scientist” part of the word, but as long as most development occurs because of VC money and short term goals, the “data” part will be primary.

FieldValue
text Karl Popper’s positivism is the key difference. In science you can’t really prove something, but you can reject competing hypotheses for a phenomena. In other words, science proceeds via negative rejection, slaying one idea at a time until the best (or at least most resistant to falsification cough string theory cough) are left standing. AI follows a drastically different path, in which money flows to leverage massive computing power to validate a vision. Generative AI is even weirder - we co…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-25
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Raw Record

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  "datetime": "2024-05-25",
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