geometry

geometry on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on geometry in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around geometry, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

A Simplified View of the Jacobian Conjecture
Towards Data Science

A Simplified View of the Jacobian Conjecture

The Jacobian Conjecture, a notoriously complex problem in abstract algebra, initially appears impenetrable. However, a concrete counterexample exists: a readily visualizable 3D function. Our latest post offers a simplified view, explaining this counterexample using familiar geometric concepts and accessible algebra. Explore how this tangible demonstration illuminates a core challenge in field theory. For those interested in building systems that leverage knowledge, consider “How to Build a Context Layer and a Company Brain,” which details practical approaches to knowledge management.

Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]
Machine Learning

Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]

Explore the fascinating architecture of GPT-2's vocabulary with a unique visualization: a hyperbolic tree containing 32,070 tokens rendered within a Poincaré ball. This interactive experience, running directly on your phone, allows you to navigate the relationships between tokens through intuitive drag, pinch, and tap interactions. The structure reveals a natural "forest" of interconnected elements, best represented in hyperbolic space—a design that elegantly accommodates the vocabulary's complex similarity structure. Discover more on this topic with our article, "Kimi: Threat or menace?".

Why Your Betas Explode: The Hidden Geometry of Multicollinearity
Towards Data Science

Why Your Betas Explode: The Hidden Geometry of Multicollinearity

Regression coefficients behaving unexpectedly? The phenomenon of “exploding” betas often stems from a less-discussed culprit: multicollinearity. This post unveils the hidden geometry behind this statistical challenge, explaining why highly correlated predictors destabilize your models. Discover how understanding the underlying geometric relationships – specifically, the angle between variables – can illuminate coefficient volatility and guide effective feature selection. Explore practical strategies to diagnose and mitigate multicollinearity, ensuring stable and reliable regression results.