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  • Things we learned about LLMs in 2024

    31st December 2024 A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments. This is a sequel to my review of 2023. In this article: The GPT-4 barrier was comprehensively broken Some of those GPT-4 models run on my laptop LLM pri

      Things we learned about LLMs in 2024
    • Kalyn: a self-hosting compiler for x86-64

      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

      • 0.8.0 Release Notes ⚡ The Zig Programming Language

        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

        • 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

            Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
          • Eliciting Reasoning in Language Models with Cognitive Tools

            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

            • Why We Use Julia, 10 Years Later

              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

                Why We Use Julia, 10 Years Later
              • A 2025 Survey of Rust GUI Libraries

                I did this in 2020 and then again in 2021, but I’m in the mood to look around again. Let’s look through Are We GUI Yet? and see what’s up these days. The task today is to have a text label and an input field that can change the text in the label. In React, for example, this is basically free: const Demo = () => { let [state, setState] = useState("Hello, world!"); return ( <div> <p>{state}</p> <inp

                • What's New in Emacs 28.1?

                  Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y

                  • Renato Athaydes

                    Revenge of Lisp (Part 1⁄2) Background vector created by upklyak - www.freepik.com This may surprise you if you know me, but I’ve been learning Common Lisp for a few weeks now. It all started when I was reading, funnily enough, a blog post about another, much more hyped, language called Julia. The post was titled Julia and the reincarnation of Lisp, and in it the author lamented that despite his lo

                    • LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus

                      LambdaLisp is a Lisp interpreter written as an untyped lambda calculus term. The input and output text is encoded into closed lambda terms using the Mogensen-Scott encoding, so the entire computation process solely consists of the beta-reduction of lambda calculus terms. When run on a lambda calculus interpreter that runs on the terminal, it presents a REPL where you can interactively define and e

                        LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus
                      • Primitive Recursive Functions For A Working Programmer

                        Primitive Recursive Functions For A Working Programmer Aug 1, 2024 Programmers on the internet often use “Turing-completeness” terminology. Typically, not being Turing-complete is extolled as a virtue or even a requirement in specific domains. I claim that most such discussions are misinformed — that not being Turing complete doesn’t actually mean what folks want it to mean, and is instead a stand

                        • Renato Athaydes

                          Revisiting Prechelt’s paper and follow-ups comparing Java, Lisp, C/C++ and scripting languages A discussion on programming languages' impact on productivity and program efficiency. In 1999, Lutz Prechelt published a seminal article on the COMMUNICATIONS OF THE ACM (October 1999/Vol. 42, No. 10) called Comparing Java vs. C/C++ Efficiency Differences to Interpersonal Differences, henceforth Java VS

                          • Understanding Memory Management, Part 1: C

                            UPDATED: 2025-02-15: Fixed some bugs in the examples and pointed out that you don't usually just want to panic on memory allocation failure. I've been writing a lot of Rust recently, and as anyone who has learned Rust can tell you, a huge part of the process of learning Rust is learning to work within its restrictive memory model, which forbids many operations that would be perfectly legal in eith

                              Understanding Memory Management, Part 1: C
                            • A History of Clojure

                              71 A History of Clojure RICH HICKEY, Cognitect, Inc., USA Shepherd: Mira Mezini, Technische Universität Darmstadt, Germany Clojure was designed to be a general-purpose, practical functional language, suitable for use by professionals wherever its host language, e.g., Java, would be. Initially designed in 2005 and released in 2007, Clojure is a dialect of Lisp, but is not a direct descendant of any

                              • GTF :: Why Haskell?

                                “Impractical”, “academic”, “niche”. These are a few of the reactions I get when someone discovers that my favourite programming language is Haskell, and not only my favourite in some sort of intellectually-masturbatory way, but favourite for building things, real things, mostly involving web servers. Hobby projects would be one thing, but it gets worse: I have actual teams at Converge working in H

                                • Announcing three new capabilities for the Claude 3.5 model family in Amazon Bedrock | Amazon Web Services

                                  AWS News Blog Announcing three new capabilities for the Claude 3.5 model family in Amazon Bedrock November 4, 2024: Anthropic’s Claude 3.5 Haiku was announced as “coming soon” when this article originally published. It became available in Amazon Bedrock on Nov. 4. Four months ago, we introduced Anthropic’s Claude 3.5 in Amazon Bedrock, raising the industry bar for AI model intelligence while maint

                                    Announcing three new capabilities for the Claude 3.5 model family in Amazon Bedrock | Amazon Web Services
                                  • 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

                                      GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
                                    • Philosophy of coroutines

                                      [Simon Tatham, initial version 2023-09-01, last updated 2025-03-25] [Coroutines trilogy: C preprocessor | C++20 native | general philosophy ] Introduction Why I’m so enthusiastic about coroutines The objective view: what makes them useful? Versus explicit state machines Versus conventional threads The subjective view: why do I like them so much? “Teach the student when the student is ready” They s

                                      • C++ safety, in context

                                        Scope. To talk about C++’s current safety problems and solutions well, I need to include the context of the broad landscape of security and safety threats facing all software. I chair the ISO C++ standards committee and I work for Microsoft, but these are my personal opinions and I hope they will invite more dialog across programming language and security communities. Acknowledgments. Many thanks

                                          C++ safety, in context
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