How modern browsers work
Note: For those eager to dive deep into how browsers work, an excellent resource is Browser Engineering by Pavel Panchekha and Chris Harrelson (available at browser.engineering). Please do check it out. This article is an overview of how browsers work. Web developers often treat the browser as a black box that magically transforms HTML, CSS, and JavaScript into interactive web applications. In tru
Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b
How a simple Linux kernel memory corruption bug can lead to complete system compromise
In this case, reallocating the object as one of those three types didn't seem to me like a nice way forward (although it should be possible to exploit this somehow with some effort, e.g. by using count.counter to corrupt the buf field of seq_file). Also, some systems might be using the slab_nomerge kernel command line flag, which disables this merging behavior. Another approach that I didn't look
This is a more in-depth explanation of how memory management in Lobster works, and is typically not needed to be understood fully to use the language. It may be interesting to those wanting to implement a similar scheme in another language. Introduction Memory management is an aspect of a language that has one of the biggest influences on how a language turns out: it affects the type system and th
Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
Annotated history of modern AI and deep neural networks
For a while, DanNet enjoyed a monopoly. From 2011 to 2012 it won every contest it entered, winning four of them in a row (15 May 2011, 6 Aug 2011, 1 Mar 2012, 10 Sep 2012).[GPUCNN5] In particular, at IJCNN 2011 in Silicon Valley, DanNet blew away the competition and achieved the first superhuman visual pattern recognition[DAN1] in an international contest. DanNet was also the first deep CNN to win
In Search of an Understandable Consensus Algorithm (Extended Version) Diego Ongaro and John Ousterhout Stanford University Abstract Raft is a consensus algorithm for managing a replicated log. It produces a result equivalent to (multi-)Paxos, and it is as efficient as Paxos, but its structure is different from Paxos; this makes Raft more understandable than Paxos and also provides a better foundat
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
State of Text Rendering 2024
Preface In 2009 I wrote State of Text Rendering, as a high-level review of the Free Software text rendering stack, with a focus on shaping, and mostly in the context of the GNOME Desktop. Since then, I have spent around twelve years working on various Google products to improve fonts and text rendering: all Open Source work. When I wrote that text in 2009, my main assignment was to finish HarfBuzz
AI as Normal Technology
A project studying how advanced AI systems may harm, or help strengthen, democratic freedoms We articulate a vision of artificial intelligence (AI) as normal technology. To view AI as normal is not to understate its impact—even transformative, general-purpose technologies such as electricity and the internet are “normal” in our conception. But it is in contrast to both utopian and dystopian vision
obscurecolin [at] gmail (dot) com I am a computer programmer. I'm primarily interested in compilers for strict functional languages. Introduction This post intends to provide a brief overview of the algorithm described in Luc Maranget’s “Compiling Pattern Matching to Good Decision Trees”. I’m fond of this formalisation as it has a straightforward implementation and results in reasonable decision t
Following up from the last post, there is a lot more we need to cover. This was intended to be the post where we talk exclusively about benchmarks and numbers. But, I have unfortunately been perfectly taunted and status-locked, like a monster whose “aggro” was pulled by a tank. The reason, of course, is due to a few folks taking issue with my outright dismissal of the C and C++ APIs (and not showi
About That Mysterious AI Breakthrough Known As Q* By OpenAI That Allegedly Attains True AI Or Is On The Path Toward Artificial General Intelligence (AGI)
Those kinds of hunches are at times hit-and-miss. You see, this is the way that those ad hoc hunches frequently go. You think you’ve landed on the right trail, but you are actually once again back in the woods. Or you are on the correct trail, but the top of the mountain is still miles upon miles in the distance. Simply saying or believing that you are on the path to AGI is not necessarily the sam
Book Review: “Quantum Supremacy” by Michio Kaku (tl;dr DO NOT BUY)
The Blog of Scott Aaronson If you take nothing else from this blog: quantum computers won't solve hard problems instantly by just trying all solutions in parallel. Also, please read Zvi Mowshowitz's masterpiece on how to fix K-12 education! Update (June 6): I wish to clarify that I did not write any of the dialogue for the “Scott Aaronson” character who refutes Michio Kaku’s quantum computing hype
Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers
Books perfect as reading or gifts during the end-of-year break for those working in tech. More than 100 book recommendations. I’ve always found books are an underrated way to learn something new. Great books contain years of hard-earned experiences compressed into what you can read in hours. However, you do need to give hours-long attention to them. This allows books to convey ideas that shorter-f
xv6: a simple, Unix-like teaching operating system Russ Cox Frans Kaashoek Robert Morris September 6, 2021 2 Contents 1 Operating system interfaces 9 1.1 Processes and memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.2 I/O and File descriptors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.3 Pipes . . . . . . . . . . . . . . . . . . . . . . . . . .
Machine learning is the heart of AI. Similar to any species, AI needs continuous learning. So, let’s see how we make AI learn and what types of machine learning are there. In this article, we will understand the three different types of Machine Learning; however, we must first understand Artificial Intelligence. Artificial Intelligence (AI) is the ability of a computer or a computer-controlled rob
Why We Think
Date: May 1, 2025 | Estimated Reading Time: 40 min | Author: Lilian Weng Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) and Chain-of-thought (CoT) (Wei et al. 2022, Nye et al. 2021), have led to significant improvements in model performance, while raising many research
Ilya Sutskever’s Top 30 Reading List The First Law of Complexodynamics The Unreasonable Effectiveness of Recurrent Neural Networks Understanding LSTM Networks Recurrent Neural Network Regularization Keeping Neural Networks Simple by Minimizing the Description Length of the Weights Pointer Networks ImageNet Classification with Deep Convolutional Neural Networks Order Matters: Sequence to Sequence f
111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen
What does it mean for a BPF application to be portable? And why it's actually hard to achieve that without BPF Compile Once — Run Everywhere (CO-RE)? In this post we'll see what are the challenges of writing BPF programs that can work across multiple kernel versions and how BPF CO-RE is helping to address this problem. This post was originally posted on Facebook's BPF blog. If you are curious abou
Julia 1.6 Highlights
24 March 2021 | Jeff Bezanson, Ian Butterworth, Nathan Daly, Keno Fischer, Jameson Nash, Tim Holy, Elliot Saba, Mosè Giordano, Stefan Karpinski, Kristoffer Carlsson Julia version 1.6 has been released. Most Julia releases are timed and hence not planned around specific features, but this release was an exception since it is likely to become the next long-term support (LTS) release of Julia. Becaus
GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu
19_3.eps
The Haskell School of Music — From Signals to Symphonies — Paul Hudak Yale University Department of Computer Science Version 2.4 (February 22, 2012) i The Haskell School of Music — From Signals to Symphonies — Paul Hudak Yale University Department of Computer Science New Haven, CT, USA Version 2.4 (February 22, 2012) Copyright c � Paul Hudak January 2011 All rights reserved. No part of this public
AI Is Redefining the Concept of a Programming Language's Popularity
Since 2013, we’ve been metaphorically peering over the shoulders of programmers to create our annual interactive rankings of the most popular programming languages. But fundamental shifts in how people are coding may not just make it harder to measure popularity, but could even make the concept itself irrelevant. And then things might get really weird. To see why, let’s start with this year’s rank
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Kalyn: a self-hosting compiler for x86-64
Memory Management in Lobster
0.10.0 Release Notes ⚡ The Zig Programming Language
In Search of an Understandable Consensus Algorithm
Why We Use Julia, 10 Years Later
Colin James - Compiling Pattern Matching
cuneicode, and the Future of Text in C
xv6: a simple, Unix-like teaching operating system
Three Types of Machine Learning
Aman's AI Journal • Primers • Ilya Sutskever's Top 30
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
BPF CO-RE (Compile Once – Run Everywhere)