Magnitude, Enriched Categories, and LLMs

Magnitude, Enriched Categories, and LLMs

• Math3ma celebrates 10‑year anniversary, reflecting on growth from niche blog to influential math resource. • Author began as study tool, now shares graduate‑level insights with g

Mathematics · February 2, 2025 (updated February 24, 2026) · 1 min · 186 words
Math3ma: Behind the Scenes (3B1B Podcast)

Math3ma: Behind the Scenes (3B1B Podcast)

• Grant Sanderson shares early inspirations that sparked his passion for math and physics. • He reflects on his graduate school journey and key learning moments. • The conversation

Mathematics · November 1, 2021 (updated February 24, 2026) · 1 min · 159 words
Language, Statistics, & Category Theory, Part 3

Language, Statistics, & Category Theory, Part 3

• Introduces enriched category theory framework for modeling language expressions and their relationships. • Builds on Part 2’s set assignment to words, extending to statistical co

Mathematics · September 27, 2021 (updated February 24, 2026) · 1 min · 192 words
Language, Statistics, & Category Theory, Part 2

Language, Statistics, & Category Theory, Part 2

• Language modeled as category L: objects are English expressions, morphisms are substring inclusions. • Category L captures syntax but lacks semantic depth, prompting richer categ

Mathematics · July 21, 2021 (updated February 24, 2026) · 1 min · 184 words
Language, Statistics, & Category Theory, Part 1

Language, Statistics, & Category Theory, Part 1

• Authors propose a new preprint exploring math behind large language models. • Question: how to model transition from probability distributions on text to syntax and semantics. •

Mathematics · July 7, 2021 (updated February 24, 2026) · 1 min · 169 words