Machine Learning Is Shallow Compared to Math - Ryan Greenblatt
18 segments
I think ML is a very shallow [music]
domain relative to math. I think in math
there's much more of a you find some
true deep abstraction. If you really
understand that thing, which is hard
[music] to understand, then you get
somewhere. Whereas I feel like the
things that are the equivalent of that
in ML are really like dumb
Like I'm like scaling laws. Like come on
guys, we can explain scaling laws really
quickly. And I think the like deepest
and most important concepts in [music]
math, for example, don't have the
property of like you can really
understand the underlying thing and why
it matters in a very short period of
time.
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The speaker argues that Machine Learning lacks the deep, abstract complexity found in mathematics, characterizing ML concepts like scaling laws as relatively simplistic compared to the profound principles of mathematics.
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