Great Ball of Fire

In the beginning, humanity looked up and decided they’d figured it all out. That glowing orb? Obviously divine. Never mind its German train schedule reliability—clearly an all-powerful deity with excellent time management. Sun worshippers built temples, performed dances, and sacrificed virgins to keep their celestial benefactor happy. Priests claimed to understand the sun’s moods, though …

10 Essential VR Effects for Meta Quest 2

Creating compelling VR experiences on Quest 2 requires balancing visuals with mobile hardware constraints. After analyzing apps like Visionarium (4.8★) and research from psychedelic VR studies, here are the 10 most effective techniques for Quest 2’s Snapdragon XR2 processor. Foundation Effects 1. Flow-Based UV Distortion with Audio Reactivity Flow-based distortion creates liquid “breathing” visuals by …

Vision dominates half your brain’s processing power

The human visual system commands an extraordinary 50-55% of the cerebral cortex and contains approximately 8-9 billion neurons dedicated to processing visual information, making it the most resource-intensive sensory system. This massive neural investment translates to measurable metabolic dominance: visual processing areas demonstrate highest regional blood flow and oxygen consumption rates, with glucose uptake increasing …

Supercharge Claude Code with Automated Agents

How automated business analyst agents transformed impossible 3D VR hand-tracking code into flawless execution on the first try For three weeks, I stared at failed attempts to build 3D VR with hand-tracking functionality. Google searches, endless Claude Code sessions, and a janky prototype that crashed the browser (WebXR). Despite every AI coding tool, I was …

Building JOSIE: Advanced AI Workflow with Persistent Memory and Live Data Access

n Build an uncensored AI assistant with persistent memory using n8n automation, vector databases, and privacy-focused web search nnnn TL;DR: Using n8n workflow automation, I’ve built an AI assistant combining JOSIEFIED-Qwen3:8b for intelligent responses, Qdrant vector database for persistent memory, and SearXNG for unlimited web search—with complete data privacy. nnnn Architecture Overview nnnn Traditional AI …

AI Code Generation: Claude vs Gemini

As AI coding assistants become essential in modern development, choosing the right platform can make or break productivity. After extensive experience with both Claude and Gemini, I’ve discovered they each excel in surprisingly different areas. Claude: Code Origination Champion For generating code from scratch, Claude is in a universe apart. I’ve used it extensively for …

Sony ACID

Before digital audio workstations became common, Sony ACID, originally developed by Sonic Foundry, was already changing how music was made. It wasn’t just another basic audio editor; it was a creative breakthrough for producers working with loops and samples. For years, ACID was the go-to software for drag-and-drop beatmaking, prized for simplicity and speed. Loops …

D-Lusion Rubberduck

In the golden era of virtual instruments, D-Lusion Rubberduck was a techno-inspired bassline generator that sounded amazing and gave bedroom producers hands-on experience rivaling expensive hardware. Beat-Matching Brilliance Rubberduck’s two-deck sample playback engine let you load WAV samples that would beat-match automatically—a rare, wildly useful feature. For layered loops or live remixing, this was game-changing. …

HammerHead

The Lightweight Drum Machine That Delivered HammerHead Rhythm Station was must-have for electronic music producers. Free, fast, incredibly easy to use. Built for Breakbeats HammerHead made creating jungle and drum & bass rhythms effortless. Loaded with iconic samples—Amen break included. Sequence loops quickly without reading manual. Clean interface: six channels, real-time pattern switching, tight timing. …

LLM Understanding

The evolution of artificial intelligence is remarkable, but raises deep questions about how these systems learn. Recent groundbreaking research from Harvard and MIT explored foundational models, focusing on how they understand fundamental rules of nature like Newton’s laws. The central question: Do today’s language models genuinely learn a complete ‘world model’ or excel at pattern …