Terence Tao: Math 2.0 [pdf]

Plumbers, chains, and famous painters: The history of the pipe operator in R

A modern, beautiful, and easily configurable blog theme for Hugo.,Note: This post is an updated version of another I published in 2014, in a previous version of this site. Our story starts as many other R related stories… in stackoverflow. On January 17th, 2012, an anonymous user “user4” asked the following question: How can you implement F#’s forward pipe operator in R? The operator makes it possible to easily chain a sequence of calculations. For example, when you have an input data and want to call functions foo and bar in sequence, you can write:

A city-building game in which the city would prefer you didn't

A city-building game about trying to get housing built in San Francisco. By Oliver Sin.

IRCv3

Welcome to the IRCv3 Working Group. We're a group of IRC client and server software authors working to improve the IRC protocol.

The tilde in your PATH may not be your HOME

I was playing with the nono agent sandboxing tool and it greeted me with a warning: PATH entries the sandbox can write to: ~/.local/bin/ which looked suspicious.

2D Vehicles

The story of a 2D vehicle physics prototype created in 1996 and later remastered as Motion Lab.

Weave (YC W25) is hiring ML, AI, product, & design engineers

Weave Jobs

Build your own decision model

How big is a Git commit?

Rat's Register Allocator

When Ldaxr Doesn't Work: Exclusive Accesses and Cacheability on AArch64

Why a load exclusive (ldaxr) raised a Data Abort on real Raspberry Pi 5 hardware but not in QEMU, and what cacheability has to do with AArch64 exclusive accesses.

Nitter: Update Oct 10th seeking funding and legal help

nitter.net is offline.

I paid people to try and follow my README

Developers suck at writing documentation. We like to say RTFM but often there ain't no FM to R. At best we have a half-arsed collection of notes, some obsolete tips, and a link to a desolate forum full of people asking the same questions again and again. That's no way to treat our users. I naïvely believe there's a better way. As I've written before, you should sit down and actually test your …

The Lightbulb Computer

A new direction for computing: projecting information into the real world to augment it, with a device that combines a projector and computer vision in the shape of a large lightbulb.

LineageOS 24.0

You know what's funnier than 24?

Valen's Memory Safety: A New Kind of Borrow Checking

PSPi 6 – Raspberry Pi in a PSP

Contribute to othermod/PSPi-Version-6 development by creating an account on GitHub.

The RAM shortage is bringing back DDR4

Price hikes have made DDR5 RAM so expensive that chipmakers are launching new CPUs for older platforms running on DDR4 RAM.

Open-Source Microsoft Office Excel, PowerPoint, and Word Replications

It's a protest now.

Retrofitting language models to operate over bytes

Recent advances in artificial intelligence (AI) have largely been driven by large language models, deep neural networks that operate over discrete units called tokens. To represent text, most large language models use words or word fragments as the tokens, known as subword tokenization1. Subword tokenization obscures fine-grained information, which is problematic, especially for scientific data—such as computer code or biological sequences—where meaning depends on the individual characters or bytes2. Models that instead operate directly on the byte encoding of text avoid these limitations, but until now they have lagged behind subword-based models in performance. Here we introduce a general method for creating byte-level large language mode