Grant Sanderson
Mathematician and maker of the 3Blue1Brown YouTube channel, which explains mathematics through animation. Creator of the open-source Manim animation library and founder of the Summer of Math Exposition.
Grant Sanderson did not write this page. ppll compiled it from their own words, each linked to the source. Is this you? · Report a mistake
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What they believe
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Feeling that one could have discovered a mathematical result oneself is a better measure of deep understanding than simply verifying that it must be true.
and the reason is that this more closely gets at what deep understanding means to me than simply asking "what must be true?"
3blue1brown.substack.comSaid 18 Sept 2026This on korrents
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If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy.
that like if it's capable of building mountains uh that are, you know, the correct new theory that like crystallizes how we should be thinking about a subject, that's just such a level of intelligence that then it starts to feel like it would be surprising if that didn't permeate into other aspects of the economy besides like just the mountain building for math itself.
youtube.comSaid 30 Jun 2026This on korrents
The bold line is korrents’ wording; the quote is theirs. These 2: what they wrote before what they said aloud, one per source, newest first.
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From one piece The last IMO problem AI could not solve 2 beliefs · 3blue1brown.substack.com
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Their words
Some proofs contain the seeds of their own discovery, but this problem was not like that.
The last IMO problem AI could not solve3blue1brown.substack.com
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Their words
and the reason is that this more closely gets at what deep understanding means to me than simply asking "what must be true?"
The last IMO problem AI could not solve3blue1brown.substack.com
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- NewsletterPeer review for SoME5
- GitHubcaption_ops
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From one piece Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? 13 beliefs · youtube.com
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Their words
That's a very unique thing that math has that nothing else has where you could press go and then just like just just poor compute at it and like look away for 10 years and then come back and say like what do you have and there's there's going to be something, right?
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Their words
Which actually goes to show you that you there's not a correct huristic for science. You actually just need multiple independent research programs with their own huristics.
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You could imagine systematizing that or like having multiple different agents deliberately given different pieces of context and try to like compare and contrast there. Like we we don't have the same level of manipulation on our own context.
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but that's my guess on what most of the useful progress uh from these models will look like like in the next five years is just really filling in that landscape of like connections that you can draw if you're an expert in multiple fields.
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I think we would always still prefer like a human that we had a relationship with because the way that we get motivated to be interesting interested in things is a social phenomenon.
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So my role and arguably that of like other mathematicians might actually just shift subtly into that curation direction of what ideas are are worth displaying.
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I kind of suspect that actually they'll also be like quite good at doing that and probably just like better than most humans are at like doing the explanation half and distilling half and that's actually not what's left for the mathematicians is like digesting and and explaining what was going on.
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One is it seems like there's a really strong correlation between the people who come up with genuinely novel insights and also who are actually quite clear in their communication of it.
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Um even if it's proven just like there is a difference between proof and explanation.
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Uh but I don't think it's easy but I do think it's something you would have to do in order to uh reward the gawwa like instinct rather than just rewarding have you solved a problem.
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what makes the GAWA theory such an interesting example is you have um literally this 100-year segment of like an idea that like flows through many different people's heads before it like settles into something that the math community like agrees is good.
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I think the way that you'd measure conjecture generating ability is going to be more subjective on like that tone shift where um it'll be mathematicians saying they're not just using it to like solve their problems, but as they step back and decide what their research field should even be that a conversation with such and such model like was genuinely helpful for that.
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Their words
that like if it's capable of building mountains uh that are, you know, the correct new theory that like crystallizes how we should be thinking about a subject, that's just such a level of intelligence that then it starts to feel like it would be surprising if that didn't permeate into other aspects of the economy besides like just the mountain building for math itself.
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Beliefs
Korrents What they believe 25 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
Feeling that one could have discovered a mathematical result oneself is a better measure of deep understanding than simply verifying that it must be true.
and the reason is that this more closely gets at what deep understanding means to me than simply asking "what must be true?"
The last IMO problem AI could not solve Said 18 Sept 2026
Some mathematical proofs contain the seeds of their own discovery.
Some proofs contain the seeds of their own discovery, but this problem was not like that.
The last IMO problem AI could not solve Said 18 Sept 2026
If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy.
that like if it's capable of building mountains uh that are, you know, the correct new theory that like crystallizes how we should be thinking about a subject, that's just such a level of intelligence that then it starts to feel like it would be surprising if that didn't permeate into other aspects of the economy besides like just the mountain building for math itself.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Show 22 more
AI learning to generate good conjectures will never show up as a benchmark being knocked down; it will show up as a shift in how mathematicians talk about the tools.
I think the way that you'd measure conjecture generating ability is going to be more subjective on like that tone shift where um it'll be mathematicians saying they're not just using it to like solve their problems, but as they step back and decide what their research field should even be that a conversation with such and such model like was genuinely helpful for that.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Group theory took a hundred years to travel from one man's hunch to something the mathematical community agreed was good, passing through many heads on the way.
what makes the GAWA theory such an interesting example is you have um literally this 100-year segment of like an idea that like flows through many different people's heads before it like settles into something that the math community like agrees is good.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
To reward the instinct that a new idea is worth having, training would have to score the smallness of the concepts a solution needs, not just whether it solved the problem.
Uh but I don't think it's easy but I do think it's something you would have to do in order to uh reward the gawwa like instinct rather than just rewarding have you solved a problem.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved.
Um even if it's proven just like there is a difference between proof and explanation.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
The people who come up with genuinely novel insights are also unusually clear communicators of them, against the assumption that expertise spoils explanation.
One is it seems like there's a really strong correlation between the people who come up with genuinely novel insights and also who are actually quite clear in their communication of it.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
He used to think explaining AI's results would be the mathematician's remaining job; he now expects AI to explain better than most humans, so that is not what is left.
I kind of suspect that actually they'll also be like quite good at doing that and probably just like better than most humans are at like doing the explanation half and distilling half and that's actually not what's left for the mathematicians is like digesting and and explaining what was going on.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
The mathematician's role will shift towards curation — deciding which ideas are worth displaying — rather than proving or explaining.
So my role and arguably that of like other mathematicians might actually just shift subtly into that curation direction of what ideas are are worth displaying.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Even if AI curates better, people will still want a human curator they have a relationship with, because wanting to learn something is a social phenomenon.
I think we would always still prefer like a human that we had a relationship with because the way that we get motivated to be interesting interested in things is a social phenomenon.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Most of the useful mathematics AI produces over the next five years will be filling in connections that only somebody expert in several fields could draw.
but that's my guess on what most of the useful progress uh from these models will look like like in the next five years is just really filling in that landscape of like connections that you can draw if you're an expert in multiple fields.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
The advantage of digital minds may be the opposite of pooling knowledge: deliberately giving agents different contexts, which is a control humans do not have over themselves.
You could imagine systematizing that or like having multiple different agents deliberately given different pieces of context and try to like compare and contrast there. Like we we don't have the same level of manipulation on our own context.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
There is no correct heuristic for science, so what you need is many independent research programmes each running its own bias.
Which actually goes to show you that you there's not a correct huristic for science. You actually just need multiple independent research programs with their own huristics.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Mathematics alone can be left running: point a prover at a formal library, walk away for ten years, and there will be something there when you come back.
That's a very unique thing that math has that nothing else has where you could press go and then just like just just poor compute at it and like look away for 10 years and then come back and say like what do you have and there's there's going to be something, right?
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Formalisation's real gift is the green check mark — knowing a hard proof is correct before you spend time on it — and every other field would kill for it.
And so having anything that's able to give you that green check mark that says even if this is going to be complicated to understand, even if it's going to be a pain, you at the very least know it is correct. Like every other field would kill for that, right?
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Lean is overrated as the reinforcement-learning environment behind recent AI progress in mathematics, but it should not be written out of the story.
And so I think you are right that lean is maybe overrated on the side of the importance of it being used as a VR environment for any kind of like just progress in math generally. But I I I definitely wouldn't write it out of the story.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
It becomes insufferable like as a mathematician because you you would basically be like I'm every single time I see one of these I kind of don't know if it's worth my time even if 99 out of 100 of them are right.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
In choosing what to learn, who is teaching it matters more than what it is, because your existing interests are fairly arbitrary and a good educator is not.
I feel like a relevant insight in learning was um recognizing that like who matters more than what. So, like advice to any college student when they're choosing what courses to take. Uh, care a little bit less about your pre-existing interests because they're kind of arbitrary right now. and care a little bit more about whether like the person teaching it is a good educator and someone you resonate with.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
After a book you loved, read that author's other books rather than another book on the same subject.
So if there's a book you've liked before, read what else that author has written rather than reading another thing on that subject.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Good exposition is willing to say things that are a little bit wrong and fix them later, which is exactly what a crowd-sourced encyclopedia edits out.
And I think a good exposition you care a little bit less about like correctness on the way, but you can like deliberately craft things that are a little bit wrong that you correct along the way that gets like edited out in a crowd source environment.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
The best use of an LLM for learning is as a souped-up search engine that points you at the right human-written resource.
So in that sense basically using it like a very souped-up version of Google on like zero in on the right human written resource.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Anyone choosing a career should work out where the money comes from and what value they add; asking the question at all puts you ahead of your peers.
Know where the money is coming from. Know where you plug into that. And like if you're just asking those questions, you're actually already like steps ahead of all of the other like fledgling perspective mathematicians.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it.
but it would be a little bit disappointing and a little bit surprising if there weren't over the next 5 years like, uh, economically valuable improvements that were made that were directly like referable to the like AI progress in math.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
Writing well means knowing the exact moment to be unpredictable, which is not the same as raising the temperature.
like when you're writing you sort of you sort of know in order for it to be good, you have to have an element of the unpredictable. And it's it's not just like increasing temperature in your mind or something, right? It's like knowing exactly the correct point when you want to make an unpredictable move.
Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? Said 30 Jun 2026
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Recommends rcmnd
rcmnd What they recommend 34 things — each backed by an exact quote.
Compiled by rcmnd.app, not by them: the quotes are theirs, and each links to the post it was copied from.
Recent
Uses Rode Lavalier Lapel Microphone
A lav mic (More specifically a Rode Lavalier Lapel Omni-Directional Condenser Microphone)
3blue1brown.com 2 Jul 2020
Uses Focusrite Scarlett Solo
USB Audio Interface to take the feed from the mic to the computer (Focusrite Scarlett Solo)
3blue1brown.com 2 Jul 2020
Liked Wacom tablet
During my time at Khan Academy, I found using a Wacom tablet worked quite nicely
3blue1brown.com 2 Jul 2020
Show 31 more
Recommends Desmos
It's an online graphing calculator that makes it very simple to whip up surprisingly complicated graphs. I found it abundantly useful for live presentations over a stream, and what's nice is that you can share the links of what you build so that students can play with them.
3blue1brown.com 2 Jul 2020
Liked Itempool
Also, and I'll admit I'm biased because it was built by friends, the act of actually writing math questions on Itempool is a delight
3blue1brown.com 2 Jul 2020
Uses OBS Studio
In OBS you can set up keyboard shortcuts, so I set up a few to associate certain keys under the lefthand of my keyboard with different scenes so that I could switch between them easily
3blue1brown.com 2 Jul 2020
Recommends Patrick JMT
If you want good, honest worked examples of practice problems, especially for calculus, it's hard to find a deeper well of examples than what this channel provides.
3blue1brown.com 1 Jun 2020
Recommends Black Pen Red Pen
If you like seeing how to work out integrals in all sorts of crazy ways, boy is this the channel for you. Steven is a math teacher, and the videos have a feeling of being in office hours, honestly working through problems with a very skillful and enthusiastic teacher. Many of the problems covered are the kind you might come across in school, and many or just for fun.
3blue1brown.com 1 Jun 2020
Recommends Welch Labs
this channel is full of high production quality and well-written videos. There are also several series on machine learning, the topics underlying self-driving cars, so this is certainly one of the more applied math channels out there.
3blue1brown.com 1 Jun 2020
Recommends Looking Glass Universe
She covers ideas from physics and math explained simply and unusually honestly.
3blue1brown.com 1 Jun 2020
Recommends Standup Maths
This channel is more whimsical and comedic, but that's not to say there isn't a lot of serious math it covers.
3blue1brown.com 1 Jun 2020
Recommends Numberphile
I'm guessing if you're here, you already know about Numberphile. If somehow you don't, it's a great channel full of interviews with mathematicians.
3blue1brown.com 1 Jun 2020
Recommends Mathologer
Half of the appeal here comes from the delightful bits of math this channel covers, often with novel ways of presenting otherwise extremely complicated topics to make them easier.
3blue1brown.com 1 Jun 2020
Recommends Khan Academy
They are probably most famous for the videos Sal does, but arguably the site is most valuable as a source of problems you can drill on, starting from the very basics if necessary. I may be biased, though, given that I used to work there!
3blue1brown.com 1 Jun 2020
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Recommends Mathigon
Mathigon is a very beautifully done set of interactive articles on all sorts of fun topics in math. The experience sits somewhere between reading and playing a game, with a really wonderful blend of artwork, technology and pedagogical clarity.
3blue1brown.com 1 Jun 2020
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Loved The Art of Problem Solving
The original Art of Problem Solving book by Richard Rusczyk, by the way, was one of the things that made me fall in love with creative math as a young student.
3blue1brown.com 1 Jun 2020
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Recommends Brilliant
I know a few of the people there, and I can vouch for the fact that they are extremely thoughtful about what makes for good learning. It shows in the product. Rather than putting lectures and videos front and center, problems and puzzles take precedence, all presented in a structured progression.
3blue1brown.com 1 Jun 2020
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Recommends Humble Pi: A Comedy of Maths Errors
Leave it to Matt Parker to write an entire book about making mistakes in math.
3blue1brown.com 1 Jun 2020
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Recommends Infinite Powers: How Calculus Reveals the Secrets of the Universe
This is another wonderful book aiming to popularize calculus (2019 was a good year for that goal). What I enjoyed about this one is how broad a view Strogatz takes of the origins of calculus, ranging from the clever proofs Archimedes was developing up to Fourier's study of heat.
3blue1brown.com 1 Jun 2020
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What others say about Infinite Powers: How Calculus Reveals the Secrets of the Universe →
Recommends Change Is the Only Constant: The Wisdom of Calculus in a Madcap World
I feel like Ben Orlin solved what was previously an unsolved problem with this book: Teach calculus in a way that is as enjoyable to those unfamiliar with the topic as it is to experts who use it every day. I, for one, was laughing from page 1.
3blue1brown.com 1 Jun 2020
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What others say about Change Is the Only Constant: The Wisdom of Calculus in a Madcap World →
Loved Chaos: Making a New Science
This is one of my all-time favorite books, closely followed by everything else Gleick has written. It gives an inspiring look at the birth of a new field, and unlike many popular science books, it manages to talk substantively about the math that was being discovered.
3blue1brown.com 1 Jun 2020
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Recommends The Princeton Companion to Mathematics
Books can never replace the intuition available if there's a professor down the hall whose door you can knock on to start asking questions. However, this book gets pretty close.
3blue1brown.com 1 Jun 2020
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What others say about The Princeton Companion to Mathematics →
Recommends Primes of the Form x^2 + n y^2
This might seem like a bizarrely specific question to write a whole book about, but that's actually the charm. It covers deep and general ideas, such as class field theory and elliptic functions, which are usually only taught to graduate students, but Cox approaches it all from an extremely concrete question which Fermat thought about.
3blue1brown.com 1 Jun 2020
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Recommends Fourier Analysis: An Introduction
Not only is this a wonderful foundation for Fourier analysis, with a surprising and satisfying application to prime numbers given in the last chapter, but it's also a good starting point for analysis as a whole. Stein and Shakarchi have a series of four excellent books on the foundations of analysis, based on a now-famous series of lectures given at Princeton.
3blue1brown.com 1 Jun 2020
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Recommends The Cauchy-Schwarz Master Class
The strength of this book is the central role it places on problems. Its aim is to teach you about inequalities, which are the backbone of analysis. But it's all too easy to teach the statement of an inequality without conveying the intuition for when and how you'd use it. By focusing on well-chosen puzzles, this book does an admirable job circumventing that risk and leaving you with the feeling of having trained a skill, rather than having learned a list of facts.
3blue1brown.com 1 Jun 2020
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Recommends Information Theory, Inference and Learning Algorithms
Information theory has a way of shaping the way you view many things in math, computer science, physics, and beyond. It's one of those fields that takes ideas that you wouldn't think of as being quantifiable or rigorous and makes them so.
3blue1brown.com 1 Jun 2020
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What others say about Information Theory, Inference and Learning Algorithms →
Recommends The Art Of Probability
Hamming was a practitioner, spending much of his career in Bell Labs, so unlike many books on probability, this stays grounded in the kind of intuitions that come up a lot in solving practical problems. It has countless helpful puzzles and problem-solving tricks which are organized in such a way as to give a sense of the deeper theory underlying probability and statistics.
3blue1brown.com 1 Jun 2020
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Recommends Ordinary Differential Equations
If you want to understand differential equations, but more from the pure math side of things, Arnold gives a wonderful picture of what the field is all about, with a mixture of high-level intuitions and low-level details, with a satisfying focus on visual and physical intuition along the way.
3blue1brown.com 1 Jun 2020
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Recommends Nonlinear Dynamics and Chaos
Steven Strogatz is one of the most well-known math communicators, and for good reason. He has a way of making you love a problem before diving into telling you how it's solved. Chaos is an incredibly fascinating field, which has only emerged relatively recently in the history of math. This is the well-deserved gold standard for understanding what it's all about.
3blue1brown.com 1 Jun 2020
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Recommends Proofs from the book
If you like clever proofs, this is the book for you. It's filled with some of the most elegant arguments in math, taken from combinatorics, geometry, graph theory, analysis, set theory, and more. I can't think of any other books with a higher density of "aha" moments.
3blue1brown.com 1 Jun 2020
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Recommends Visual Group Theory
Another text with a titular promise to focus on pictures, this one tackles a subject which is more commonly taught purely symbolically. One of the most important things for any student learning about groups to understand is just how many different ways there are to think about a group, and how different views might be helpful in different contexts. Again, I wouldn't use this as the only book to understand the topic, but it offers a refreshingly different perspective on the topic from most others out there to help arm your arsenal of intuitions.
3blue1brown.com 1 Jun 2020
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Recommends Visual Complex Analysis
As the title suggests, this offers a highly pictorial introduction to complex analysis. I would not use this as the only text to learn about complex analysis, but Needham does a marvelous job of conveying the beauty of the subject, with numerous helpful intuitions for otherwise famously tricky ideas.
3blue1brown.com 1 Jun 2020
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Loved An Introduction to Thermal Physics
Despite my aim to keep this list purely about math books, I cannot help but include this one in the list. Simply put, it's one of the most enjoyable textbooks I've ever read, giving a very satisfying first-principles understanding of what thermodynamic concepts like temperature and entropy really are, and how we can to understand them.
3blue1brown.com 1 Jun 2020
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Recommends Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach
This is what I wish I learned from in my freshman year of college. The part of it about linear algebra is one of the best linear algebra resources out there, and remainder shows you how those tools apply to non-linear mathematics.
3blue1brown.com 1 Jun 2020
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What others say about Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach →
Where they publish
Site 3blue1brown.com The 3Blue1Brown site: lesson write-ups accompanying the videos, plus his book and site recommendations.
Link verified 4 Sept 2026.
Newsletter 3Blue1Brown on Substack Occasional longer written posts and channel updates.
Recent
- There's never been a better time to go into math 16 Oct 2026 Reflections on the AI in math situation
- The Collie and the Pug 24 Sept 2026 HackMIT 2026 Keynote
- The last IMO problem AI could not solve 18 Sept 2026 Problem 6 from the 2025 International Math Olympiad
Show 17 more
- Peer review for SoME5 25 Aug 2026 Plus a preview of what’s in the works for 3blue1brown
- But what is cross-entropy? 16 Jul 2026 Compression is Intelligence Part 2
- On monthly puzzles 17 Jun 2026 And the plan for their solutions
- Reinventing Entropy 7 Jun 2026 Compression & Intelligence Part 1
- Escher's most mathematically interesting piece 22 Mar 2026 The Print Gallery, and the tour of complex analysis it invites.
- The most underappreciated formula 27 Feb 2026 Exploring spheres in higher dimensions
- The Hairy Ball Theorem 31 Jan 2026 A few surprising applications of one of the most absurdly named theorems in topology, together with a beautiful proof for why it is true.
- SoME4 Prizes 16 Jan 2026 Winners of the supplementary "helpful for teachers" prize we set up for the 2025 Summer of Math Exposition
- Recruiting, both for myself and for other companies (potentially yours) 4 Dec 2025 I have two small requests, both of which I’ll elaborate on further down in this post.
- How Laplace transforms solve differential equations 5 Nov 2025 Studying the forced oscillator
- But what is a Laplace Transform? 12 Oct 2025 Visualizing the most important tool for differential equations.
- Why complex exponents matter 5 Oct 2025 Laplace Transform Prelude
- Why Ruler and Compass? 18 Sept 2025 The fifth and final guest video
- Exploration & Epiphany 7 Sept 2025 A guest video about Sol LeWitt's incomplete open cubes, and the group theory behind it.
- Simulating Phase Change 28 Aug 2025 Guest video by Vilas Winstein
- The AI that solved IMO Geometry Problems 17 Aug 2025 Guest video by Aleph0
- But how do AI videos actually work? 25 Jul 2025 Guest video by from Welch Labs
Link verified 4 Sept 2026. Recent items update automatically from the channel.
x.com @3blue1brown Announcements and short math posts.
Recent
- Some reflections on AI in math. I found it helpful to simply list out the various parts of what a mathematician does, why math is valuable, and where the funding comes from. From there, what happens if AI gets more capable? 16 Oct 2026 youtu.be
- YouTube plans to introduce AB testing for videos. I agree with many others that this is a bad idea. Maybe you squeeze out some more watch time in the short term, but undermining a sense of a shared viewing experience among the audience is too steep a price. 2 Oct 2026
- The last IMO problem AI could not solve. For when you want to sit down for a longer problem-solving saga, here's the full video: 18 Sept 2026
Show 17 more
- New puzzle, as part of the series of monthly puzzlers with @MoMath1. As a variant: What if you start with pegs in all four corners of the square, and you want them to end up on corners of a bigger square? 19 Aug 2026
- Suppose you wanted to reinvent the idea of Shannon Entropy for yourself. This puzzle is a good place to start (Full video on YouTube). 10 Jun 2026
- With this lineup of speakers, this promises to be very interesting. 1 May 2026
- This video was a complete joy to make. Here's a short preview, but next time you're looking to sit down for 45 minutes of math and art, take a look at the full version on YouTube. 22 Mar 2026
- Happy Pi Day! In a certain sense, π is not a constant, but a variable. Using our usual Euclidean distance, it is 3.14159… but applying other L^p norms on ℝ², half the unit circle's perimeter will give other values. For instance, at p=1 (taxicab geometry), “π” = 2√2. At p ≈ 2.2, it's 3.20. Anyway, the video I was hoping to have out this day will be out closer to the 20th. Some call it “missing your deadline”, but I prefer to think of it as giving the L_{2.2} norm a little love. 14 Mar 2026
- Well, math terminology being what it is, something like this was bound to happen eventually. (If you're curious about why these balls are so puny, the full talk is up on YouTube) 27 Feb 2026
- New video! Memorable for its delightfully absurd name, the Hairy Ball Theorem is extremely beautiful and has some surprising applications. Full video here: 31 Jan 2026
- In case you're unfamiliar, the @prisonmathproj is a nonprofit supporting prisoners learning math. There is a great podcast on Numberphile with its founder, Christopher Havens, describing the background: https://t.co/GrfoD9Cybb It's an organization I'm donating to today, and if you like what they're doing, consider joining. 2 Dec 2025
- The next video in the Laplace Transform sequence is up! https://t.co/Ln1CXghmBj Here, we dig into a concrete example, the forced oscillator. Some of you may remember that this was relevant for studying why light slows down in a medium. 5 Nov 2025
- Ever since I made a video about Fourier Transforms, one of the most requested topics on the channel has been its close cousin, the Laplace Transform. I've been having a lot of fun animating a mini-series about this topic, and the main part is now out. 12 Oct 2025 youtu.be
- There is a lot about Euclid’s Elements that is easily misunderstood. Some proofs seem to have logical gaps. Some constructions seem pointless, others seem needlessly convoluted. Each of these provides a window into how the ancient Greeks thought about math and the philosophical role that geometry played. In the fifth and final of a series of guest videos I've been posting, @BenSyversen delves into a question anybody who has had to do ruler and compass constructions in a geometry class may have wondered: What's the point? 18 Sept 2025 youtu.be
- New video about a piece by the modern artist Sol LeWitt, and the group theory behind it. 7 Sept 2025
- Guest video 3/5 while I'm on leave is now up! It's by a former SoME winner, covering key ideas in statistical mechanics to create a simple and discrete model mirroring the behavior of a fluid transitioning between a liquid and gaseous state. Enjoy! 28 Aug 2025 youtu.be
- Hey, psst, you can find early views for two upcoming guest videos on Patreon, one about statistical mechanics and another covering a story of modern art and group theory. Notes on early releases are always helpful before finalizing a video. 23 Aug 2025 patreon.com
- New video on the details of diffusion models: https://t.co/rRjJehNuF3 Produced by @welchlabs, this is the first in a small series of 3b1b this summer. I enjoyed providing editorial feedback throughout the last several months, and couldn't be happier with the result. 25 Jul 2025
- Welp, somewhat embarrassingly, yesterday this account was briefly compromised and someone posing as me promoted a crypto project supposedly "tokenizing" manim. Thank you to those of you who quickly flagged it as spam and alerted me to the problem. For future reference, it's a safe bet that you'll never see me creating and promoting a meme coin. 19 Jul 2025
- More great columns from @stevenstrogatz 18 Jul 2025 nytimes.com
Link verified 4 Sept 2026. Recent items update automatically from the channel.
Bluesky @3blue1brown.com Bluesky account, whose handle is the 3blue1brown.com domain itself.
Recent
- Some reflections on AI in math. I found it helpful to simply list out the various parts of what a mathematician does, why math is valuable, and where the funding comes from. From there, what happens if AI gets more capable? 16 Oct 2026 youtu.be
- The last IMO problem AI could not solve. For when you want to sit down for a longer problem-solving saga, here's the full video: 18 Sept 2026 youtu.be
- Here's an excerpt from the most recent video on how Shannon studied the entropy of English, animated by Mitchell Zemil 12 Jun 2026
Show 17 more
- @quantabooks.org just released their first book, on the story of Lean by @kevinhartnett.bsky.social. It's a great story, about a pretty significant part of what's happening in math right now. 10 Jun 2026 quantabooks.org
- Suppose you wanted to reinvent the idea of Shannon Entropy for yourself. This puzzle is a good place to start (Full video on YouTube). 10 Jun 2026
- This video was a complete joy to make. Here's a short preview, but next time you're looking to sit down for 45 minutes of math and art, take a look at the full version on YouTube: 22 Mar 2026 youtu.be
- Happy Pi Day! In a certain sense, π is not a constant, but a variable. Using our usual Euclidean distance, it is 3.14159… but applying other L^p norms on ℝ², half the unit circle's perimeter will give other values. For instance, at p=1 (taxicab geometry), “π” = 2√2. At p ≈ 2.2, it's 3.20. 14 Mar 2026
- Well, math terminology being what it is, something like this was bound to happen eventually. (If you're curious about why these balls are so puny, the full talk is up on YouTube) 27 Feb 2026
- New video! Memorable for its delightfully absurd name, the Hairy Ball Theorem is extremely beautiful and has some surprising applications: 31 Jan 2026 youtu.be
- The Ladybug Clock puzzle 20 Jan 2026
- I had fun joining @peterrowlett.net and @steckl.es recently on their mathematical objects podcast, talking about my wood puzzle collection. Most of the time was spent struggling desperately to describe a highly visual topic in an audio-only context. 7 Nov 2025 open.spotify.com
- The next video in the Laplace Transform sequence is up! youtu.be/FE-hM1kRK4Y Here, we dig into a concrete example, the forced oscillator. Some of you may remember that this was relevant for studying why light slows down in a medium. 5 Nov 2025
- Ever since I made a video about Fourier Transforms, one of the most requested topics on the channel has been its close cousin, the Laplace Transform. I've been having a lot of fun animating a mini-series about this topic, and the main part is now out. 12 Oct 2025 youtu.be
- Much of Euclid’s Elements is easily misunderstood. Some proofs seem to have logical gaps. Some constructions seem pointless, others seem needlessly convoluted. Each of these provides a window into how the ancient Greeks thought about math and the philosophical role that geometry played. 18 Sept 2025
- New video about a piece by the modern artist Sol LeWitt, and the group theory behind it. 7 Sept 2025 youtu.be
- Guest video 3/5 while I'm on leave is now up! It's by a former SoME winner, covering key ideas in statistical mechanics to create a simple and discrete model mirroring the behavior of a fluid transitioning between a liquid and gaseous state. Enjoy! 28 Aug 2025 youtu.be
- Hey, psst, you can find early views for two upcoming guest videos on Patreon, one about statistical mechanics and another covering a story of modern art and group theory. Notes on early releases are always helpful before finalizing a video. 23 Aug 2025 patreon.com
- New video on the details of diffusion models: youtu.be/iv-5mZ_9CPY Produced by Welch Labs, this is the first in a short series of 3b1b this summer. I enjoyed providing editorial feedback throughout the last several months, and couldn't be happier with the result. 25 Jul 2025
- In the most recent video about quantum computing, I saw many comments expressing a similar point of confusion regarding Grover's algorithm. I made a follow-up to (hopefully) clarify some of the issues and to address a few other under-emphasized points. 4 May 2025 youtu.be
- New video! This covers the fundamentals of quantum computing and builds up to a step-by-step walk-through of an important algorithm in the field. 30 Apr 2025 youtu.be
Link verified 4 Sept 2026. Recent items update automatically from the channel.
YouTube 3Blue1Brown The main channel: animated explanations of linear algebra, calculus, neural networks and more.
Recent
Link verified 4 Sept 2026. Recent items update automatically from the channel.
GitHub github.com/3b1b Manim, the animation engine behind the videos, and the source for the video scripts.
Recent
- 3Blue1Brown.com 17 Oct 2026
- videos — Code for the manim-generated scenes used in 3blue1brown videos 29 Sept 2026
- manim — Animation engine for explanatory math videos 9 Sept 2026
Show 3 more
- caption_ops 25 Aug 2026
- captions — transcripts and captions for 3blue1brown videos 30 Nov 2024
- site_demo 10 Apr 2021
Link verified 4 Sept 2026. Recent items update automatically from the channel.
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