The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
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- Points338
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Story details from Hacker News ↗ · linked article on arxiv.org.
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer was first seen on Hacker News · Front page on Nov 3, 2026. Since then it has appeared in 59 checks on 2 different days. Its best position was #8 of 30, reached on Nov 4, 03:52 UTC. It dropped off the list after Nov 4, 12:22 UTC.
Position on Hacker News · Front page at every check (lower is better).
Best rank per day (UTC).
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A few top-level comments from Hacker News, shortened. Read the full thread on Hacker News.
I don't like: > Changing coordinates. Given a vector x expressed in the standard basis, we change coordinates by applying x_eig = V^−1 x. > This operation does not change the vector itself; it only changes how the vector is represented, converting it into eigenvector coordinates. I'm sure the author knows about the…
Another book which I would highly recommend for learning the math (or at least getting a very good idea of how it works) behind machine learning/transformers is "Why Machines Learn: The Elegant Math Behind Modern AI" by Anil Ananthaswamy. I read it this past year and I found it was extremely good at pacing and…
Wow, this book is surprisingly readable! I like how he starts from basics of linear algebra.
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Not at the moment. It was last on the list on Nov 4, 12:22 UTC, after 2 days of trending.
#8 on Hacker News · Front page, on Nov 4, 03:52 UTC. Trendoday checks this list every 15 minutes.
It was first seen on Nov 3, 2026 and has been on the list on 2 days (59 checks) since.
338 points and 52 comments; submitted by ibobev on Nov 3, 2026.