Business Solves Problems Faster
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Thank you for having me. for code and this is something that he said is is like very standard people agree on this for a very long time and he said that recently um he was you know talking to to ai and telling it basically to improve itself and he said when he told ai to improve itself the ai realized that their matrix multiplication method was flawed and so instead of trying to go and optimize the software that he had created that they had for ai which is what he assumed it would do Instead, it invented a completely new way of doing math. And he said that to essentially optimize itself. And he said that that new invention resulted in a 26% in performance boost, and the removal of hundreds of millions of dollars in cost and energy use for Google.
So like this massive uptick in basically optimization. This is a fascinating concept. When I first saw that, I was really fascinated by the fact that AI is definitely getting better at math, but beyond just getting better at solving math or solving math the way that we might solve it, it's creating new ways to solve math and coming up with completely new methods when it thinks that our methods are flawed. So today on the podcast, I want to get into AI and math where it is today because there's also a whole bunch of really interesting news about math problems that have been solved recently. And I think it's easy to talk about AI hallucinations and how AI can't do X, Y, Z. I honestly think like beyond the hype, what I'm actually seeing in my day-to-day use of AI is that it is getting like startlingly good and it's improving very quickly and
And I think a lot of that isn't necessarily that maybe the model's getting better, but the tooling we're adding. Anyways, we're going to get into all of it on the podcast. Before we do, I wanted to say, if you want to go check out the latest updates I've done to AIbox.ai that allow you to build any AI tool you want without knowing how to code. You just prompt it to build something and it will link together all of the AI models, put in the prompts and build something cool. Most recently, I saw someone created a Bible story graphic novel generator. That was a really cool tool that I'm sure my children will love. But there's so many different options. If you want to go check it out, there's a link in the description to AI box dot AI.
You can go try to build something and check out a whole bunch of things that other creators are building. All right, let's get into the state of AI and math today. I wanted to start this off by saying that AI models right now are starting to crack a whole bunch of high level math problems. I was recently on X and I saw a tweet from Bartosz Nasreki where he said GPT-5 Pro solved in just 15 minutes without any internet searches the presentation problem known as Yu Tsumurutsu's 554th problem. He said this is the first model to solve this task completely. He expects more of these kind of results. The model showed that it had a really strong grasp of elementary abstract algebra reasoning. So like these models are getting better and better at solving problems, but they're also doing really good in math competitions and other areas.
DeeDee recently posted on X and said, AI just achieved a perfect score on the hardest math competition in the world. The Putman has 12 problems and they each are worth 10 points. The highest score last year was 90. The median was zero. Axiom's AI prover in Lear scored 10. 120 out of 120 and just shared all of the solutions. Huge milestone in AI. I saw another really interesting story where over the weekend, Neil Somani, who is a software engineer, he's a former quant and now he has a startup, but he was testing how well OpenAI's newest AI model could handle really difficult math problems.
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