My job involves a lot of staring at large numbers, mostly latencies in nanoseconds, and picking out magnitudes like microseconds. I noticed myself constantly...
Functional Programmers need to take a look at Zig.
I’ve been tinkering around with Zig to explore what’s possible with comptime. Whenever I evaluate a new language I use three axes:
Kill Math
The power to understand and predict the quantities of the world should not be restricted to those with a freakish knack for manipulating abstract symbols.
Mathematicians still don’t know the fastest way to multiply numbers
A 23-year-old student overturned an ancient conjecture about one of math’s simplest operations
esoteric.codes
esolangs, esoplatforms, esosystems, and all that break from the norms of computing
AI #190: Scion of the Times
The amount of code being written at Anthropic continues to rise exponentially.
A faster way to calculate the day-of-the-week
A range of fast modulus techniques that beat compiler output
Faster double-to-string conversion
There comes a time in every software engineer’s life when they come up with a new binary-to-decimal floating-point conversion method. I guess my time has come. I just wrote one, mostly over a weekend: https://github.com/vitaut/zmij.
The Unbearable Slowness of Being: Why do we live at 10 bits/s?
Researchers at Caltech quantify human behavioral information throughput at approximately 10 bits/s across various tasks, highlighting a vast discrepancy with the brain's sensory input capacity,...
Ten advances in mathematics and theoretical computer science
OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.
We’re gonna need a lot more mathematicians
[This is a guest post by Amit Sahai. This blog post was initially written in a different file format and converted using AI. — T.] When I was an undergraduate student, I remember talking with…
Using spaced repetition systems to see through a piece of mathematics
By Michael Nielsen, January 2019
When A.I. Comes for Your Purpose in Life
In the span of just a few months, A.I. systems have solved some of the biggest outstanding problems in math — adding mathematicians to the list of those terrified of losing their job to the technology.
The people holding up the internet
Four billion phones ask one text file what time it is. One lecturer keeps it in his spare time.
The people holding up the internet
Four billion phones ask one text file what time it is. One lecturer keeps it in his spare time.
Why Can’t Powerful LLMs Learn Multiplication?
These days, large language models (LLMs) can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to 4-digit multiplication, a task taught in elementary school, even state-of-the-art systems fail. Why? A new paper by Computer Science PhD student Xiaoyan Bai and Faculty Co-Director of the Data Science Institute’s …