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Exploring CHAOS: Building a Backend for Server-Driven UI

CHAOS, Yelp's brainchild for UI drama, spins web magic withGraphQLandApollo Federation. Picture a world where Python subgraphs sculpt slick visuals, letting teams own their UI turf solo.Dataclasseshandle JSON like pros, flexing the UI to keep things lively. And those trustyFeatureProviders? They gua.. read more  

Exploring CHAOS: Building a Backend for Server-Driven UI
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Android is about to take another AI leap over Apple

Arm's SME2 promises sixfold AI speed boostin the next wave of Android phones. Could give Apple a run for its money by 2026 in mobile AI. Watch for Lumex branding... read more  

Android is about to take another AI leap over Apple
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Introduction to Digital Filters with Audio Applications

A comprehensive guide to digital filters, covering theory, design, and implementation across time and frequency domains. It starts with the simplest filters and builds toward advanced topics like state-space models, pole-zero analysis, and filter structures, with detailed examples using MATLAB, Faus.. read more  

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The hunt for a perfect laptop continues

Drowning in a sea of PC laptops, each promising the moon with only a whisper of difference? Choice paralysis kicks in hard. EnterApple and Framework.They cut through the chaos with sleek, straightforward lineups that don't make your eyes cross—proving less really is more... read more  

The hunt for a perfect laptop continues
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Pharo 13 Released!

Pharochucks constructors, types, and interfaces overboard. Its syntax—effortlessly elegant like a well-crafted haiku. Pharo 13.0 rolls in, riding the wave of 698 shiny new pull requests... read more  

Pharo 13 Released!
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Google is tracking you even when you use DuckDuckGo

Flipping toDuckDuckGodoesn't cut the cord—40%of US sites still tip off Google through Analytics and YouTube embeds. Those sneaky devils ignore privacy tools. Geography plays its card: with stricter privacy laws,SwedenandSwitzerlandshow how regulation can spank data tracking into shape... read more  

Google is tracking you even when you use DuckDuckGo
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Zig's New Async I/O

Zig's New I/O Interfacelets users plug in their own I/O designs, cranking up parallelism and taming the chaos of async function spread. Code bloat? Vanquished, thanks to clever virtual tables. And those compiling optimizations? They shave down runtime expense like a barber on a mission... read more  

Zig's New Async I/O
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I’m more proud of these 128 kilobytes than anything I’ve built since

Ditching webfonts for system fonts? A masterstroke. It dodged FOUT and saved bytes by leaning on native beauties likeRobotoorSan Francisco. When juggling a tight128KBbudget, out goes the clunky frameworks. In comesWhizz, a slick custom library that sharpens DOM and AJAX choreography. Images weren't .. read more  

I’m more proud of these 128 kilobytes than anything I’ve built since
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Using a USB Foot Pedal for Vibe Coding

AUSB foot pedalfor code autocompletion sounds like a coder's jam session. Free your hands, keep typing, and let your feet work their magic. It's like adding rhythm to your workflow, turning coding into a symphony... read more  

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How to bring data centre-like connectivity to your home with IPTTTH

IPTTTHin India serves up enterprise-grade connectivity minus the ISP circus. It's like bypassing the bouncer to get inside the exclusive club. Costs? A slippery beast to tame. And those routing snafus? An obstacle course for the faint of heart. Yet, for networking aficionados, it's a ride you won't .. read more  

How to bring data centre-like connectivity to your home with IPTTTH
INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.