GraphQL is an incredible piece of technology that has captured a lot of mindshare since I first started slinging it in production in 2018. You won’t have to look far back on this (rather inactive) blog to see I have previously championed this technology. After building many a React SPA on top of a hodge podge of untyped JSON REST APIs, I found GraphQL a breath of fresh air. I was truly a GraphQL h
TL;DR; We are changing std::sort in LLVM’s libcxx. That’s a long story of what it took us to get there and all possible consequences, bugs you might encounter with examples from open source. We provide some benchmarks, perspective, why we did this in the first place and what it cost us with exciting ideas from Hyrum’s Law to reinforcement learning. All changes went into open source and thus I can
The Go Programming Language and Environment – Communications of the ACM
Go is a programming language created at Google in late 2007 and released as open source in November 2009. Since then, it has operated as a public project, with contributions from thousands of individuals and dozens of companies. Go has become a popular language for building cloud infrastructure: Docker, a Linux container manager, and Kubernetes, a container deployment system, are core cloud techno
arXiv:2506.12115v1 [cs.CL] 13 Jun 2025 Eliciting Reasoning in Language Models with Cognitive Tools Brown Ebouky IBM Research - Zurich ETH Zurich Brown.Ebouky@ibm.com Andrea Bartezzaghi IBM Research - Zurich abt@zurich.ibm.com Mattia Rigotti IBM Research - Zurich mrg@zurich.ibm.com Abstract The recent advent of reasoning models like OpenAI’s o1 was met with excited spec- ulation by the AI community
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
Database Fundamentals
About a year ago, I tried thinking which database I should choose for my next project, and came to the realization that I don't really know the differences of databases enough. I went to different database websites and saw mostly marketing and words I don't understand. This is when I decided to read the excellent books Database Internals by Alex Petrov and Designing Data-Intensive Applications by
Mastering Customer Segmentation with LLM | Towards Data Science
Unlock advanced customer segmentation techniques using LLMs, and improve your clustering models with advanced techniques Content Table · Intro · Data · Method 1: Kmeans · Method 2: K-Prototype · Method 3: LLM + Kmeans · Conclusion Intro A customer segmentation project can be approached in multiple ways. In this article I will teach you advanced techniques, not only to define the clusters, but to a
Type Parameters Proposal
Ian Lance Taylor Robert Griesemer August 20, 2021 StatusThis is the design for adding generic programming using type parameters to the Go language. This design has been proposed and accepted as a future language change. We currently expect that this change will be available in the Go 1.18 release in early 2022. AbstractWe suggest extending the Go language to add optional type parameters to type an
The Alkyne GC · mcyoung
Alkyne is a scripting language I built a couple of years ago for generating configuration blobs. Its interpreter is a naive AST walker1 that uses ARC2 for memory management, so it’s pretty slow, and I’ve been gradually writing a new evaluation engine for it. This post isn’t about Alkyne itself, that’s for another day. For now, I’d like to write down some notes for the GC I wrote3 for it, and more
Large Text Compression Benchmark Matt Mahoney Last update: July 3, 2025. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compressi
17 types of similarity and dissimilarity measures used in data science. | Towards Data Science
The following article explains various methods for computing distances and showing their instances in our daily lives. Additionally, it… Various ML metrics. Inspired by Maarten Grootendorst. "There is no Royal Road to Geometry." – Euclid Quick note: Everything written and visualized has been created by the author unless it was specified. Illustrations and equations were generated using tools like
The sad state of property-based testing libraries Posted on Jul 2, 2024 Property-based testing is a rare example of academic research that has made it to the mainstream in less than 30 years. Under the slogan “don’t write tests, generate them” property-based testing has gained support from a diverse group of programming language communities. In fact, the Wikipedia page of the original property-bas
I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to share a running computer, and anyone anywhere can use it in an open and permissionless manner. The seeds of this revolution arguably began with Bitcoin, so I became curious to dril
K-nearest neighbors (k-NN) is a Machine Learning algorithm for supervised machine learning type. It is used for both regression and classification tasks. As we already know, a supervised machine learning algorithm depends on labeled input data, which the algorithm learns to produce accurate outputs when input unlabeled data. k-NN aims to predict the test data set by calculating the distance betwee
Update 1.84.1: The update addresses these issues. Update 1.84.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the October 2023 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: More audio cues - New audio cues to indicate
Posted by Leonardo Galler and Matteo Kimura on April 21, 2019 What are Sorting Algorithms? Sorting algorithms are ways to organize an array of items from smallest to largest. These algorithms can be used to organize messy data and make it easier to use. Furthermore, having an understanding of these algorithms and how they work is fundamental for a strong understanding of Computer Science which is
Django for Startup Founders: A better software architecture for SaaS startups and consumer apps
In an ideal world, startups would be easy. We'd run our idea by some potential customers, build the product, and then immediately ride that sweet exponential growth curve off into early retirement. Of course it doesn't actually work like that. Not even a little. In real life, even startups that go on to become billion-dollar companies typically go through phases like: Having little or no growth fo
My birthday just passed, and to relax I wrote a parser combinator library. Over the last few years, I have worked quite a bit with Ningning Xie and Jeremy Yallop on parser combinators, which has led to a family of parser combinators which have optimal linear-time performance in theory, and which are many times faster than lex+yacc in practice. But these use advanced multistage programming techniqu
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Why, after 6 years, I’m over GraphQL
Changing std::sort at Google’s Scale and Beyond
Eliciting Reasoning in Language Models with Cognitive Tools
Large Text Compression Benchmark
The sad state of property-based testing libraries
A from-scratch tour of Bitcoin in Python
k-NN (k-Nearest Neighbors) in Supervised Machine Learning
October 2023 (version 1.84)
Sorting Algorithms - LAMFO
Linear-time parser combinators