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A.I. groks 66%-76% faster with data augmentation strategies. (arxiv.org)

submitted 2 months ago by [email protected] to c/[email protected]

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[–] [email protected] 5 points 2 months ago (1 children)

Thanks for clarifying, now please refer to the poster's original statement:

AI doesn't grok anything. It doesn't have any capability of understanding at all. It's a Markov chain on steroids.

[+] [email protected] -7 points 2 months ago (1 children)

We follow the classic experimental paradigm reported in Power et al. (2022) for analyzing “grokking”, a poorly understood phenomenon in which validation accuracy dramatically improves long after the train loss saturates. Unlike the previous templates, this one is more amenable to open-ended empirical analysis (e.g. what conditions grokking occurs) rather than just trying to improve performance metrics

[–] [email protected] 4 points 2 months ago (1 children)

Oh okay so they're just redefining words that are already well-defined so they can make fancy claims.

[–] [email protected] -3 points 2 months ago (2 children)

Well-defined for casual use is very different than well-defined for scholarly research. It's standard practice to take colloquial vocab and more narrowly define it for use within a scientific discipline. Sometimes different disciplines will narrowly define the same word two different ways, which makes interdisciplinary communication pretty funny.

[–] [email protected] 3 points 2 months ago (1 children)

It’s standard practice to take colloquial vocab and more narrowly define it for use within a scientific discipline.

No. It's not standard at all, especially when the goal is overtly misleading.

Sometimes different disciplines will narrowly define the same word two different ways

Maybe one or both disciplines is promoting bullshit.

[–] [email protected] 0 points 2 months ago (1 children)

Did you have a question?

[–] [email protected] 2 points 2 months ago

Yeah what ails you, stranger?