News Nug
Time and Space Complexity

Published: 2025-01-16 | Origin: /r/programming

The guide explains the importance of understanding time and space complexity when writing efficient and scalable code. It introduces Big-O notation, which serves as a framework for analyzing how an algorithm's performance and memory requirements scale with input size, particularly in worst-case scenarios. Key principles include ignoring constants and lower-order terms to simplify complexity analysis. The guide categorizes time complexities from fastest to slowest growth rates, including constant time (O(1)), linear time (O(n)), and quadratic time (O(n²)).

state and trace

Published: 2025-01-15 | Origin: /r/programming

The text discusses the differences between genre fiction and literary fiction. Genre fiction, such as slasher films or murder mysteries, is characterized by familiar themes and structures that shape audience expectations, making it easy to read and understand. In contrast, literary fiction aims to challenge readers by making the familiar seem strange, encouraging a deeper perception of the world. When creating software, the focus should be on the simplicity and predictability typical of genre fiction, fostering a sense of familiarity for the user. Understanding how genres

I have made the decision to disband Hindenburg Research

Published: 2025-01-15 | Origin: Hacker News

The author announces the decision to disband Hindenburg Research, a project that has been a lifelong dream. They reflect on the challenges faced at the start, including a lack of traditional finance background, financial difficulties, and personal turmoil. Despite these obstacles, including initial lawsuits and the pressure of parenting, the author found strength in passion and determination. Over time, they built a successful team of 11 talented individuals, emphasizing the importance of their contributions. The author expresses joy in the journey and the achievements

100x defect tolerance: How we solved the yield problem

Published: 2025-01-15 | Origin: Hacker News

Cerebras has successfully challenged the conventional wisdom in semiconductor manufacturing, which states that larger chips result in poorer yields. They have developed a chip that is 50 times larger than traditional computer chips, achieving comparable manufacturing yields. The key to this success lies in their innovative approach to fault tolerance in relation to chip size. This article compares the manufacturing yields of Cerebras's Wafer Scale Engine to an H100-sized chip, both produced at 5nm, exploring how defect rates, core size, and

Zig comptime: does anything come close?

Published: 2025-01-15 | Origin: /r/programming

The post discusses Zig's comptime feature, which has generated interest in programming forums. This feature simplifies certain programming tasks, allowing developers to achieve functionality, like generics, with less complexity compared to other languages. Zig’s comptime is compared to macros in Lisp and Rust, templates in C++, and annotation processors in Java and Kotlin. The author plans to explore the capabilities of comptime using examples from advocates of Zig, noting their limitations in experience with other languages, particularly C++. They emphasize that compt

dnSpyEx: .NET debugger and assembly editor

Published: 2025-01-15 | Origin: Hacker News

The content discusses dnSpyEx, an unofficial continuation of the dnSpy project, which is a debugger and .NET assembly editor. It allows users to edit and debug .NET assemblies without needing the source code. The latest stable release and beta builds are available on GitHub, along with a specific repository for debugging Unity games. Users can contribute to translating dnSpy and can find build instructions and documentation in the Wiki. The project is licensed under GPLv3. Feedback from users is welcomed and taken seriously

Ruby Central adds Director of Open Source and renews Security Engineer in Residence

Published: 2025-01-15 | Origin: /r/ruby

Ruby Central, with the support of the Alpha-Omega Project, is enhancing its Open Source Program by appointing Marty Haught as the full-time Director of Open Source and renewing Samuel Giddins’ role as Security Engineer in Residence. This funding will enable them to expand their work on RubyGems, RubyGems.org, Bundler, and related projects. Marty Haught, who has been the Interim Open Source Lead since August 2024, will now provide dedicated leadership to strengthen Ruby

I Noticed Google foobar Has Been Taken Down; Here Are My Python 2 Solutions From 2021

Published: 2025-01-15 | Origin: /r/programming

Google foobar was a problem-solving challenge offered by Google through an invite-only system, which has since been discontinued. The author completed it in 2021 and is sharing their solutions in 2025 after realizing the platform is no longer available. They express disappointment over the loss of the platform but appreciate the fun of the problems. The solutions were originally tagged as 1.0.0, and even though they have been refactored, the updated code hasn’t been tested with the original problem

Why is Cloudflare Pages' bandwidth unlimited?

Published: 2025-01-15 | Origin: Hacker News

The author shares their positive experience with hosting their website on Cloudflare Pages and reflects on the abundance of good, free hosting options available today, such as GitHub Pages, GitLab Pages, and Netlify. They note that while there are usage limits, the primary concern is bandwidth, especially if a site goes viral. They report their site is relatively small (15MB and under 150 files) and won't feature large RAW photo galleries to avoid exceeding limits. Cloudflare's strategy of offering unlimited bandwidth

Building a Machine Learning Model from Scratch - Model Architecture, Evaluation, Data Prep, and more

Published: 2025-01-15 | Origin: /r/programming

The blog post introduces a tutorial on building a sentiment analysis model using TensorFlow and Python, aimed at those looking to learn about machine learning basics. Readers are encouraged to have a basic understanding of Python (version 3.9+ recommended) and can seek help if needed. The post explains machine learning as a method for computers to learn and make predictions based on data, with real-life applications like spam detection. Python is highlighted as an ideal language for machine learning due to its versatility and the availability of

Google is making AI in Gmail and Docs free, but raising the price of Workspace

Published: 2025-01-15 | Origin: Hacker News

Google has announced that it will now offer all its AI features in the Workspace suite—Gmail, Docs, Sheets, Meet, etc.—for free, eliminating the previously required $20 per user per month Gemini Business plan. However, to accommodate this change, Google is increasing the prices of all Workspace plans by approximately $2 per user per month. The AI features include tools like email summaries, automated note-taking, a research assistant, and access to the Gemini bot. Google aims to encourage broader usage

Review Your Own Pull Request First!

Published: 2025-01-15 | Origin: /r/programming

The author emphasizes the importance of conducting a thorough self-review before submitting a Pull Request (PR) in software development. From personal experience, they've found that PRs which are self-reviewed tend to be merged more efficiently and require less back-and-forth discussion. A good self-review helps identify design flaws, typos, logic gaps, and unnecessary code, allowing reviewers to focus on more significant architectural concerns. The author shares a past experience of submitting a rushed PR that received numerous comments on minor issues while overlooking

Hologram: A full-stack isomorphic Elixir web framework

Published: 2025-01-15 | Origin: Hacker News

Hologram allows developers to create rich, interactive user interfaces in Elixir using a declarative component system. It intelligently transpiles the client-side code into JavaScript, enabling modern frontend features without the need for any JavaScript frameworks.

llama.cpp: Writing A Simple C++ Inference Program for GGUF LLM Models

Published: 2025-01-15 | Origin: /r/programming

The content discusses the significance of the llama.cpp framework in the realm of large language model (LLM) inference, highlighting its ease of use and broad adoption for deploying LLMs across a variety of devices, from single-board computers to multi-GPU clusters. The tutorial aims to provide insights into performing LLM inference using low-level functions from llama.cpp, including a discussion on program flow and constructs, culminating in a chat application example. The tutorial's code, employed in the SmolChat Android application

Generate audiobooks from E-books with Kokoro-82M

Published: 2025-01-15 | Origin: /r/programming

On January 14, 2025, Claudio Santini announced the release of Kokoro v0.19, a high-quality text-to-speech model with 82 million parameters, trained on under 100 hours of audio. It supports multiple languages, including American and British English, French, Korean, Japanese, and Mandarin, offering various voices. Santini created a tool called Audiblez to convert ebooks into audiobooks, highlighting its efficiency in converting a 100,000-word book in about two

Beating cuBLAS in Single-Precision General Matrix Multiplication

Published: 2025-01-15 | Origin: Hacker News

The project, led by Aman Salykov, is inspired by notable figures in the GPU and deep learning community and specifically focuses on implementing the SGEMM (Single-precision General Matrix Multiply) operation in CUDA. It aims to enhance understanding for CUDA learners by bridging the gap between various SGEMM implementations found in literature and those in NVIDIA's cuBLAS libraries. The implementation emphasizes performance optimizations such as inlined PTX, asynchronous memory copies, and efficient shared memory usage. Although the project

A database system learning journey

Published: 2025-01-15 | Origin: /r/programming

Learning about database systems is beneficial, given the high demand for specialists in this area. By acquiring knowledge in databases, individuals can evaluate and appreciate different systems, potentially working for database companies. The content primarily targets application developers familiar with basic SQL, encouraging them to delve deeper into database concepts, particularly using PostgreSQL as a primary example. A key focus is on modern SQL features, emphasizing their performance benefits, and recommending resources such as the "High-Performance SQL" course by Vlad Michaela. The importance

Policy as Code | From Infrastructure to Fine-Grained Authorization

Published: 2025-01-15 | Origin: /r/programming

The blog post from Permit Inc. discusses insights from a livestream session featuring experts Jimmy Ray and Omer Zuarets focused on "Policy as Code." Jimmy Ray, an authority on the topic and author of "Policy as Code," has extensive experience in cloud-native technologies and tools like Kubernetes and Open Policy Agent (OPA). Omer Zuarets, a technical leader at Permit.io, contributed insights into policy engines and tools that aid in policy implementation. Key highlights include the definition of policy as code,

Nobody Cares

Published: 2025-01-15 | Origin: Hacker News

The writer expresses frustration with the lack of care and effort in various systems, from bureaucracies like the DMV to software companies and municipal government employees. Despite opportunities for improvement, many people in these roles seem indifferent, prioritizing stability and job security over quality. Specific examples highlight this apathy, such as a dangerous bike lane design that could be easily improved. The overall message critiques societal complacency and the minimal effort put into enhancing everyday experiences, emphasizing that even small changes could lead to substantial improvements.

Introducing Venator 1.0 - log and trace viewer

Published: 2025-01-15 | Origin: /r/programming

Venator, a telemetry tool designed for rapid local development, has officially reached its stable release after six months of development. Created with Rust using Tauri and SolidJS, Venator allows users to view events and spans in real-time through a fast and responsive interface. It supports OpenTelemetry and is tailored to address shortcomings in existing local tools, which often fall short compared to cloud-hosted services. Users can start using Venator by downloading prebuilt binaries or by installing it from source via cargo. The