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Products that do what Did you know you can multiply matrices without multiplication? does
TL;DR: This idea implemented in Python https://gist.github.com/danbst/fdf604ae279f9e01c8a28f1f84f9876e Hello. Long time ago I have learned that log(xy) = log(x) + log(y) and that this was used by Napier to multiply numbers. Also I knew that matrix multiplication time is dominated by inner dot products, which use addition and multiplication. And it just stuck me today, that it is possible to multiply matrices in logarithmic space (that is, matrix values are logs of real values) without multiplication! By using same trick Napier did. (There are restrictions, as negative…
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2018 · github.com
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2018 · github.com
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To get benefits from sparsity, you usually need to have very sparse matrices, impose some structure on the sparsity pattern or have specialized hardware. None of it is the case if you want to rune pruned LLMs on consumer devices. I wanted to see how far can you push it on a GPU and ended up with this. Blog: https://www.grizzlytech.dev/blog/macko-spmv Paper: https://arxiv.org/abs/2511.13061 Code (example with torch): https://github.com/vlejd/macko_spmv
Nov 2025 · github.com
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Hey HN, I'm excited to share a new side project I've been working on. The product is called Matrices. You can check it out here: https://matrices.com/. With Matrices, you can explore, visualize, and share large (100k rows) datasets–all without code. Filter data down to just what you want, visualize it with built-in charts, and share your results with one click. You can use it today (no login or waitlist or anything). Just copy and paste your data from a google sheet or CSV file. It's hard to describe the feeling of "gliding over data" you get with Matrices, so I'd rather…
2023 · matrices.com
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2024 · github.com
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Hi everyone, I’m a student with a strong interest in computer science and complexity theory. Recently, I worked on a manuscript attempting to prove that P ≠ NP. I know how this sounds — it’s one of the hardest and most debated problems in CS, and many have tried and failed. I don’t claim to have the final answer, but I believe the approach I used might at least offer some fresh perspective or provoke useful critique. The idea involves geometric separation between deterministic and nondeterministic computation, using high-dimensional lattice constructions and some physics-inspired intuition.…
2025 · zenodo.org
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https://github.com/siraben/ti84-forth Hi HN! For the past year I've been getting into programming in Z80 assembly (especially for the TI-84+). More recently I've been learning about the Forth programming language and after a lot of searching online (in vain) for a Forth interpreter for the TI-84, I decided to write one myself. It's been fun demoing this to others, because it's a very unexpected use of a calculator. It's my largest project to date, and I'm interested to know what the HN community thinks, please feel free to critique my code! -- Ben
2018
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2014 · blog.shriphani.com
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Context: I'm looking at Norman Wildberger's rational trigonometry[1], and here I was wondering how useful it is in physics. So I thought about testing it with the famous simple pendulum exercise. It's not obvious we get any FPS gain, but still I find it cool to even be able to get the same result differently. 1. https://en.wikipedia.org/wiki/Rational_trigonometry
2016 · grondilu.github.io
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2016 · blakelapierre.github.io
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This seems unlikely to be a "new" idea, but I stumbled into it by accident and thought it was cool. Java source code below: // This class is in the public domain. public class Numbers { public static void main(String[] args) { int numRows = 256; int numColumns = 128; for (int row = 0; row < numRows; row++) { StringBuilder rowOutput = new StringBuilder(); for (int column = 0; column < numColumns; column++) { if ((row & column) != 0) rowOutput.append("1"); else rowOutput.append("0"); } System.out.println( String.format("row/col %s:\t%s", row, rowOutput.toString())); } } }
2014
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2017 · github.com
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2020 · arxiv.org
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2020 · loginwithmatrix.tiktalk.space
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I am playing around with using arrays of arbitrary dimension as framework for designing FFT implementations, as opposed to the more classical approach of tensor products and butterflies (too complicated in my opinion). It turns out, that with a modern compiler, you do not need much complexity to make a really fast implementation. This implementation is for powers of 2, and optimized for arrays that do not fit in cache. I do think it would be better to use a higher-level language to implement other cases (e.g. n = 2^a * 3^b * 5^c, multiple small FFTs, higher-dimensional), so I am currently…
Oct 2025 · gitlab.sac-home.org
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I have had a few conversations in the past year with non-technical folks (traditional finance types, consultants) who asked for a simple explainer on how GPTs work. These people generally have the horsepower to grasp new concepts quickly but don't necessarily have the math background to dig in super deeply and want a stronger framework than "they predict words". I had generally been pointing them to Karpathy, Illustrated Transformer, and other youtube content but I figured something more hands on without the math requirement might be better at explaining questions like "why matrix…
Jun 2026 · understandgpt.xyz
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Author: Danison Nuñez Project: Coderive Project Type: Programming Language Highlight: Formula-based Execution ## Coderive - Iterating Through 1 Quintillion in a Loop *Subtitle: How a phone interpreter achieves what supercomputers cannot* The Impossible Loop: ```java // In any other language, this would be computational suicide for i in [0 to 1Qi] { // 1,000,000,000,000,000,000 iterations arr[i] = i * i } ``` Traditional Reality: · Python: MemoryError at array creation · Java/C++: Theoretical 31 years (with 8 exabytes of RAM) · NumPy/TensorFlow: Immediate crash ·…
Dec 2025 · github.com
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2024 · letsplit.com
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2016 · grondilu.github.io
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Jan 2026 · github.com
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A fun little game idea I had last year after building a personal kb based bit manipulator to have a better sense of the binary space. All sounds and graphics are my own.
2025 · 24bitsa.day
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