iiinova — where your digital self keeps evolving

Tivadar Danka @tivadardanka.bsky.social · 11h

Probability theory is completely counterintuitive. Understanding it is the single closest thing to having a superpower in modern tech.

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Tivadar Danka @tivadardanka.bsky.social · 18h

I turned my most popular thread into a video a couple of months ago. That was before I knew anything about animation, audio recording, and the other arts and crafts of video content. So, I decided to do it justice.

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Tivadar Danka @tivadardanka.bsky.social · 04/10/2026

Calculus is a total waste of time. Learning it was the single best decision of my machine learning career.

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Tivadar Danka @tivadardanka.bsky.social · 04/10/2026

Thumbnail concept 1 and 2 for the upcoming Graph Theory for Visual Learners video. Which one you prefer?

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Tivadar Danka @tivadardanka.bsky.social · 03/10/2026

I'm here to convince you learning Mathematics is actually not that hard or intimidating. I've said it many times now. I bet I can make you understand any concept. One post at a time. The way your teachers should have.

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Tivadar Danka @tivadardanka.bsky.social · 03/10/2026

One of the mightiest tools in mathematics is the camel principle. I am dead serious. Deep down, this tiny rule is the cog in many methods. Ones that you use every day.

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Tivadar Danka @tivadardanka.bsky.social · 02/10/2026

If I had to learn Math for Machine Learning from scratch, this is the roadmap I would follow:

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Tivadar Danka @tivadardanka.bsky.social · 02/10/2026

The single most undervalued fact of linear algebra: matrices are graphs, and graphs are matrices. Encoding matrices as graphs is a cheat code, making complex behavior simple to study. Let me show you how!

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Tivadar Danka @tivadardanka.bsky.social · 30/09/2026

The 10 most important lessons from 20 years of doing mathematics: 1. Breaking the rules is often the best course of action 2. You have to deeply understand the rules to successfully break them 3. Understanding happens when you take things slow

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Tivadar Danka @tivadardanka.bsky.social · 30/09/2026

To this day, The Camel Principle remains as one of your favorite posts of all time. I'm extremely grateful for your interest in math and machine learning. Thank you!

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Tivadar Danka @tivadardanka.bsky.social · 29/09/2026

Math isn't hard because the concepts are complex. It's hard because: Traditional education treats it like robotic symbol-shuffling gymnastics, forcing people to memorize formulas for years while completely forgetting about the underlying spatial intuition.

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Tivadar Danka @tivadardanka.bsky.social · 28/09/2026

I've shifted most of my effort into making high-quality YouTube videos for machine learning practitioners. Here are the best 5 so far:

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Tivadar Danka @tivadardanka.bsky.social · 26/09/2026

Graph theory and linear algebra are not two separate branches of mathematics. They are the exact same subject wearing different costumes.

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Tivadar Danka @tivadardanka.bsky.social · 24/09/2026

You aren't bad at math. Math was just taught to you by people who hid its power behind convoluted formulas, abstract jargon, and soulless textbooks.

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Tivadar Danka @tivadardanka.bsky.social · 24/09/2026

At the end of your engineering career, you won't wish you memorized 50 temporary API wrappers or chased every viral framework. You'll wish you mastered the foundational principles that built the modern world. You cannot build extraordinary AI systems with a surface-level understanding.

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Tivadar Danka @tivadardanka.bsky.social · 23/09/2026

If your machine learning models keep failing in edge cases, you don't have a coding problem. You have a math problem disguised as a coding problem.

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Tivadar Danka @tivadardanka.bsky.social · 23/09/2026

Most engineers spend 100 hours learning frameworks that expire in 12 months. Top engineers spend 100 hours learning math that stays true for 50 years.

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Tivadar Danka @tivadardanka.bsky.social · 21/09/2026

If you only know how to call library functions, your value is shrinking by the minute. If you understand the underlying mathematics, AI just gave you an infinite leverage boost.

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Tivadar Danka @tivadardanka.bsky.social · 21/09/2026

No assumption should be set in stone. I’m not afraid to challenge them. You shouldn’t be afraid either.

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Tivadar Danka @tivadardanka.bsky.social · 20/09/2026

You don't need a four-year pure math degree before you can understand machine learning algorithms. You don't need to finish 5 measure theory textbooks, prove 50 calculus theorems, and solve linear algebra problem sets in isolation before writing PyTorch code.

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Tivadar Danka @tivadardanka.bsky.social · 20/09/2026

Math isn't hard because the concepts are complex. It's hard because traditional education treats it like robotic symbol-shuffling gymnastics. We force people to memorize formulas for years while completely hiding the underlying spatial intuition.

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Tivadar Danka @tivadardanka.bsky.social · 19/09/2026

The best way to learn is to solve problems.

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Tivadar Danka @tivadardanka.bsky.social · 19/09/2026

I follow quite a few notable people who have successfully realized their vision, solving problems to move our world forward. Their audiences are full of the young and motivated, yearning to carve out their piece of the pie, failing to realize that the only path they can walk is their own.

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Tivadar Danka @tivadardanka.bsky.social · 18/09/2026

When people discover that I have a PhD in mathematics, one of the most common reactions is, “you must be a genius.” Let me tell you, this could not be further from the truth: talent is just the icing on the cake. The rest is hard work and perseverance.

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Tivadar Danka @tivadardanka.bsky.social · 18/09/2026

There are no shortcuts to mastery. You can’t pay your way to knowledge. You must put in the work for math and anything else that’s worth doing.

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Tivadar Danka @tivadardanka.bsky.social · 17/09/2026

A graph is called bipartite if it is possible to find a coloring of its nodes using two colors. It can be proven that a graph is bipartite exactly when it does not contain a cycle with an odd number of edges.

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Tivadar Danka @tivadardanka.bsky.social · 17/09/2026

If you've been following my writing for a while, you know I love graph theory. And I'm working on something HUGE. Graph theory-related, of course.

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Tivadar Danka @tivadardanka.bsky.social · 16/09/2026

LLMs are statistical bullshit generators. They are trained to say what you want to hear. Not what you need to hear. Yeah, I know, there’s reasoning, tool calling, memory, and other neat tricks. Still, fundamentally, generative models are stochastic parrots.

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Tivadar Danka @tivadardanka.bsky.social · 16/09/2026

In mathematics, you will be rewarded more for your tolerance to temporary confusion than you will be for your intelligence.

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Tivadar Danka @tivadardanka.bsky.social · 15/09/2026

I wrote an article about all the math you need to know for machine learning in under 4000 words. Trust me, you want to bookmark this: thepalindrome.org/p/the-roadm...

thepalindrome.org

The Roadmap of Mathematics for Machine Learning

A complete guide to linear algebra, calculus, and probability theory

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Tivadar Danka @tivadardanka.bsky.social · 14/09/2026

Hamiltonian paths and cycles in Hungary's road network and in the Platonic solids. (Visuals are straight from my upcoming graph theory video.)

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Tivadar Danka @tivadardanka.bsky.social · 13/09/2026

One of the mightiest tools in mathematics is the camel principle. I am dead serious. Deep down, this tiny rule is the cog in many methods. Ones that you use every day.

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Tivadar Danka @tivadardanka.bsky.social · 12/09/2026

No, LLMs won’t replace mathematicians, but they’ll be one of their most powerful tools, accelerating research in the years to come.

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Tivadar Danka @tivadardanka.bsky.social · 12/09/2026

Can large language models replace mathematicians? Even though I’m not a huge fan of the Star Wars franchise, there’s a quote that I often refer to: “Only a Sith deals in absolutes.” — Obi-Wan Kenobi

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Tivadar Danka @tivadardanka.bsky.social · 11/09/2026

Calculus is a total waste of time. Learning it was the single best decision of my machine learning career.

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Tivadar Danka @tivadardanka.bsky.social · 11/09/2026

Mathematics is taught wrong. Its usefulness is hidden behind convoluted formulas, technical nuances, and abstract nonsense. Throughout the years, math enhanced my professional and personal life in ways I can’t even begin to describe. My mission is to take you to the same place.

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Tivadar Danka @tivadardanka.bsky.social · 10/09/2026

I used to hate coding on paper during exams and study sessions. It felt slow, redundant, and completely unnecessary when modern IDEs and auto-complete exist. Then I realized that it made me a better engineer. Here's why: thepalindrome.org/p/coding-on...

thepalindrome.org

I Hated Coding on Paper. It Made Me Smarter.

Coding as a process, not a product

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Tivadar Danka @tivadardanka.bsky.social · 10/09/2026

Most people think matrices are just grids of numbers you multiply using complex row-column rules. That’s why linear algebra feels dry and uninspired.

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Tivadar Danka @tivadardanka.bsky.social · 08/09/2026

If you've ever wondered where to find all my articles sorted by topic, don't worry, I got you. Here's The Palindrome Library (go nuts): thepalindrome.org/p/the-palin...

thepalindrome.org

Your Machine Learning Library

Your starting point for all your machine learning needs

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Tivadar Danka @tivadardanka.bsky.social · 08/09/2026

I’m working on something massive. Here's a quick teaser:

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Tivadar Danka @tivadardanka.bsky.social · 07/09/2026

Infinity is one of the most mind-boggling concepts that has ever existed. For centuries, infinity has puzzled great thinkers across all disciplines. The first people to finally tame it were mathematicians, but this came at a cost: thepalindrome.org/p/what-is-i...

thepalindrome.org

What is infinity and how many of them are there?

How infinity broke mathematics

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Tivadar Danka @tivadardanka.bsky.social · 07/09/2026

thepalindrome.org

The Roadmap of Mathematics for Machine Learning

A complete guide to linear algebra, calculus, and probability theory

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Tivadar Danka @tivadardanka.bsky.social · 06/09/2026

If you want to hit your target, take more shots. This is how you make your own luck: thepalindrome.org/p/if-you-wa...

thepalindrome.org

If You Want to Hit Your Target, Take More Shots

Make your luck

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Tivadar Danka @tivadardanka.bsky.social · 05/09/2026

Software engineers when asked to find anything in the house.

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Tivadar Danka @tivadardanka.bsky.social · 05/09/2026

I’ve spent 10 years teaching math to machine learning engineers. 80% of university math is irrelevant to your actual job. Here's the 20% you actually need to build models (and how to learn it fast): thepalindrome.org/p/the-roadm...

thepalindrome.org

The Roadmap of Mathematics for Machine Learning

A complete guide to linear algebra, calculus, and probability theory

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Tivadar Danka @tivadardanka.bsky.social · 04/09/2026

“How to get started in machine learning?” is one of the most common questions I get. Inspired by this, I’ve mapped out the knowledge graph of machine learning, building a hierarchy of concepts that can guide you from the foundations to the state of the art.

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Tivadar Danka @tivadardanka.bsky.social · 03/09/2026

The single most undervalued fact of linear algebra is that matrices are graphs, and graphs are matrices. See for yourself: thepalindrome.org/p/matrices-...

thepalindrome.org

Matrices and graphs

The single most undervalued fact of linear algebra: matrices are graphs, and graphs are matrices

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Tivadar Danka @tivadardanka.bsky.social · 02/09/2026

Understanding happens when you take things slow.

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Tivadar Danka @tivadardanka.bsky.social · 02/09/2026

You have to deeply understand the rules to successfully break them.

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Tivadar Danka @tivadardanka.bsky.social · 02/09/2026

Breaking the rules is often the best course of action.

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