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A browser-based tool that generates 3D Gaussian splats from single images using Apple's SHARP ML model, running entirely client-side via ONNX Runtime Web. Built with React/TypeScript, all inference happens locally with no server required — users upload an image, get a 3D reconstruction, and download PLY files. A strong demonstration of bringing production ML models to the browser for real-time 3D generation.
Mercury, a well-funded fintech startup, shares how they run ~2 million lines of production Haskell processing hundreds of billions in transactions. Their key insight: Haskell's real value isn't eliminating bugs but encoding institutional knowledge into types, making systems adaptable as teams scale. Most engineers learn Haskell on the job, and the company emphasizes pragmatism over elegance — keeping the business alive trumps type-system purity.
Argues that alerts — not dashboards — should be the core of infrastructure monitoring. Teams should design systems around detecting actual service failures, then implement continuous improvement cycles with zero-tolerance for false alarms. The approach builds organizational trust in monitoring through iterative refinement and regular incident reviews.
An academic paper comparing Rust and C for industrial IoT microcontroller firmware, where two teams concurrently built identical functionality. The study concludes Rust is a sound choice today with comparable or better performance than C. Notably, Ariel OS (a Rust-based runtime) achieved smaller memory footprints than traditional bare-metal C approaches.
Stanford researchers found that individual brain scans reveal fundamentally different patterns than group averages — children with poor cognitive control showed opposite brain activity when studied individually vs. in aggregate. The findings suggest personalized neuroscience could yield better interventions for ADHD and similar conditions. This has implications for how ML models trained on averaged data may miss individual-level signal.
The independently-funded Ladybird browser merged 333 PRs from 35 contributors in April. Major milestones include inline PDF viewing via pdf.js, rich address bar autocomplete with history-aware suggestions, a new GTK4 Linux frontend, and substantial JavaScript engine optimizations. CSS support expanded with image-set() and anchor positioning, improving rendering of major sites.
Utah's Senate Bill 73 makes websites legally liable when users bypass age verification using VPNs — the first U.S. state to target VPN circumvention directly. Platforms must somehow detect and prevent VPN usage or face consequences. This creates novel compliance challenges for tech companies and raises fundamental questions about technical feasibility of enforcement.
Developer David Smith chronicles building a custom mapping engine for Pedometer++ on Apple Watch over six years. The challenge involved creating an interactive, offline-capable map for a tiny screen while balancing navigation with workout metrics. His solution uses custom SwiftUI mapping, commissioned cartography optimized for Liquid Glass design, and a layered metrics-over-map interface.
A proposed standard establishing a single environment variable (DO_NOT_TRACK=1) to communicate privacy opt-out preferences across all applications. Rather than users learning different opt-out mechanisms for each tool, software authors check one variable and respect the preference. A simple, unix-philosophy approach to cross-application privacy consent.
Dav2d is a project from VideoLAN (the VLC team) hosted on their GitLab instance. The repository page was blocked by an access protection system during fetch, but based on the name and source, it appears to be a next-generation AV1 video decoder — likely a successor or evolution of the high-performance dav1d decoder that became the industry standard for AV1 playback.