math

Implementing Vibe Proving with Reinforcement Learning

“The event of mathematics toward greater precision has led, as is well-known, to the formalization of enormous tracts of it, in order that one can prove any theorem using nothing but a couple of...

Is Your Model Time-Blind? The Case for Cyclical Feature Encoding

: The Midnight Paradox Imagine this. You’re constructing a model to predict electricity demand or taxi pickups. So, you feed it time (corresponding to minutes) starting at midnight. Clean and easy. Right? Now your model sees...

Understanding Vibe Proving

“What I cannot create, I don't understand” — attributed to R. Feynman After Vibe Coding, we appear to have entered the (very area of interest, but much cooler) era of Vibe Proving: DeepMind wins gold...

The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs

, I'll present an answer to the Subset Sum Problem, which has linear time complexity (), if all of the ‘’ input values are “close enough” to one another. We are going to see...

Open-source AI crushes elite math exam

Good morning, AI enthusiasts. Remember when AI couldn't handle basic arithmetic? Now, a small open-source model is crushing one in every of the world’s hardest math exams.After achieving top scores within the Putnam Contest,...

AI cracks 30-year math problem

Good morning, AI enthusiasts. An AI just delivered a breakthrough in mathematics — solving a 30-year-old problem using no human help in any respect.With DeepSeek and Google also reaching gold-level reasoning, we may finally...

Scuffling with Data Science? 5 Common Beginner Mistakes

data science, to begin with well done. You’ve chosen probably the most lucrative and fast-growing careers in tech. But here’s the reality: most students waste months (even years) spinning their wheels on the incorrect things. Avoid...

Learning Triton One Kernel at a Time: Softmax

Within the previous article of this series, operation in all fields of computer science: matrix multiplication. It's heavily utilized in neural networks to compute the activation of linear layers. Nevertheless, activations on their...

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