OpenAI CEO Sam Altman claims that an average ChatGPT query consumes approximately 0.34 watt-hours of energy and 0.000085 gallons of water (roughly one-fifteenth of a teaspoon). These unsourced statistics were shared in a blog post about AI's future impact. The claims come amid growing scrutiny over AI's environmental costs, with researchers predicting AI could consume more power than Bitcoin mining by year-end. Previous studies have shown significant variation in AI energy consumption depending on data center location and specific use cases.

DHH has released Omarchy, a pre-configured Arch Linux distribution with Hyprland tiling window manager designed for developers. This opinionated setup provides an out-of-the-box developer environment that complements his Ubuntu-based Omakub project. While Arch Linux itself isn't overly difficult, Hyprland requires extensive manual configuration for basic features like lock screens and menus, which Omarchy addresses by providing everything pre-configured.

Explore how to create scroll-driven camera animations in a web scene using three.js and GSAP. The technique involves using the intersection observer to adjust camera positions as different sections come into view. Quaternions are utilized for smooth camera rotations, preventing issues like gimbal lock. The setup allows developers to easily configure desired positions with a GUI and handles the transitions using GSAP for animation.

Scrappy is a prototype tool designed for creating home-made apps, allowing users to craft personalized software for themselves and friends. It empowers the DIYer to create apps tailored to specific needs without extensive programming expertise. Scrappy provides a canvas-based environment similar to Figma, where users can incorporate interactive elements and share apps effortlessly, promoting collaboration. The tool aims to democratize software creation, fostering creativity and custom solutions beyond mass-market offerings.

With the end of Windows 10 support, users are encouraged to consider open-source alternatives like openSUSE instead of discarding functional hardware. Using Linux distributions can extend the life of devices, reduce electronic waste, and offer greater control over privacy and security without the need for new hardware.

Backend development involves understanding the differences between backend and frontend, choosing appropriate programming languages (Java, Python, JS, Go, Rust, C#), working with various types of databases (SQL, NoSQL, NewSQL), learning about different API types (REST, GraphQL, gRPC, SOAP) and authentication methods (JWT, OAuth2, API keys). Additionally, it includes knowledge of server hosting services, containerization, server setup, and DevOps practices including CI/CD pipelines, IaC, and monitoring tools.

AI and large language models are transforming design from predictable, structured interfaces to dynamic, conversational ones. Traditional UI principles are being challenged, necessitating new approaches to ensure high-quality user experiences. Designers must adapt by creating familiar structures that integrate AI capabilities

Self-hosting offers developers a unique opportunity to gain in-depth knowledge of software operations beyond basic development tasks. It involves learning about networking, system administration, security, and DevOps. Engaging in self-hosting can build confidence, improve problem-solving skills, and open up career opportunities in cloud infrastructure. The post encourages developers to start small with easy-to-manage services, emphasizing the educational value of practical experience.

Google has open sourced its Zero-Knowledge Proof (ZKP) libraries to enhance privacy in age verification systems. This technology allows age verification without revealing personal information, building on Google's partnership with Sparkasse to support EU age assurance requirements. The open source release enables developers to implement privacy-preserving age verification in their applications.

Pennybase is a minimalist Backend-as-a-Service implementation in under 1000 lines of Go code with zero external dependencies. It provides file-based CSV storage, REST API endpoints, authentication with session cookies, role-based access control, real-time updates via Server-Sent Events, and template rendering. Data is stored in human-readable CSV files with append-only versioning, making it suitable for simple applications that need basic backend functionality without the complexity of larger solutions like Firebase or Supabase.

APIs enable efficient communication between software applications, boosting development speed and functionality. The post explains the types of APIs, their protocols, and their importance in web services. It also lists several free public APIs for developers, such as JSONPlaceholder, Unsplash API, Free Dictionary API, and more, highlighting their use cases and benefits.

Second Me by Mindverse offers a unique take on AI, allowing users to create their own AI personas that reflect their identity, interests, and contexts. This AI is locally trained and hosted but can connect globally, thus ensuring privacy and control. The setup involves Docker and Python environments, and contributions are encouraged to enhance future AI developments.

Meticulous provides auto-generated and self-maintaining visual frontend browser tests, eliminating issues such as debugging after merges and test maintenance. It records sessions across various environments and uses AI to curate an evolving test suite covering every line of code and user flow. Meticulous also offers side-effect-free testing by replaying recorded backend responses, simplifying the setup process.

Software applications are built using five essential layers: UI, API, Logic, Database, and Hosting. Each layer has its distinct role, from enabling user interactions to ensuring data management and scalability. Understanding these layers helps developers create software that is efficient, secure, and user-friendly.

Major tech companies are forcing AI integration into essential software and services without user consent, despite only 8% of people willing to pay for AI voluntarily. Companies like Microsoft and Google bundle AI into existing products to hide losses and create artificial adoption metrics. This forced implementation affects email, search, office software, and customer service, making it nearly impossible for users to avoid AI. The author argues this represents a form of technological tyranny that requires legal intervention through transparency, opt-in requirements, and liability laws.

A developer creates a custom terrain usability metric by processing USGS elevation data using Python and OpenCV. The approach involves calculating the Laplacian (second-order derivative) of elevation data to identify steep terrain, then using a sliding window to generate average steepness values for different areas. The solution effectively becomes a complex downsampling method to classify land as buildable or too steep based on topographic line density.

Functions can be conceptualized as infinite-dimensional vectors, enabling the application of linear algebra tools to diverse problems. This perspective allows treating differentiation and the Laplacian as linear operators that can be diagonalized using eigenfunctions. The Fourier transform emerges as a change of basis into the Laplacian's eigenbasis, with practical applications in image compression, signal processing, and geometry processing. The approach extends to spherical harmonics for functions on spheres and discrete differential geometry for mesh processing.

Developing AI agents can be challenging with many outdated or overly complex tools. This post offers a curated list of effective open-source libraries for building robust AI agents in various tasks such as document parsing, voice interaction, and automation. Focus on choosing practical and well-maintained tools to streamline your development process.