QWE AI Academy How to Use Qwen3.8-2.4T [Hands-On Guide]
Qwen3.8-2.4T just dropped open weights. Here's how to pick API vs local, set reasoning_effort, and avoid the thinking-only and license traps.
ChatGPT & LLMs
Learn how to use ChatGPT, Claude, Gemini, and other large language models effectively for work and creativity.
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ChatGPT & LLMs
DeepSeek V4 Pro 0813: How to Use It Today
DeepSeek V4 Pro 0813 just hit GA. Here's the real access path, Pro vs Flash pick, thinking-mode gotchas, and a working Claude Code setup.
OpenAI’s Head of Ethics Leaves: What ChatGPT Users Do Now
OpenAI's head of ethics leaves less than a year after joining. Practical steps ChatGPT users can take today with Model Spec, custom instructions, and settings.
Home Workout No Equipment: AI Plan That Works
Home workout no equipment routines stall when they're random. Here's the AI progressive setup I stuck with - short sessions, research anchors, and the edge cases circuits skip.
Apple Silicon macOS VMs: Faster llama.cpp Inference Guide
Apple Silicon macOS VMs just got 7-16× faster llama.cpp inference via a Metal capability shim. Here's how to turn it on in Lume.
How AI Builds Better Low Calorie Snacks for Weight Loss
Use AI prompts to design personalized low calorie snacks for weight loss with protein, fiber, and volume eating - far beyond generic lists.
Muse Glimmer 30B Local Agents: Hands-On Guide
Muse Glimmer just dropped: Meta's 30B open model for always-on local agent workflows. Setup paths, ATEM tool gotchas, and what actually fits on 24GB.
How to Break Weight Loss Plateau With ChatGPT
How to break weight loss plateau using ChatGPT prompts for calorie audits, protein targets, exercise shifts, and diet breaks that restart fat loss.
How I Use LLMs to Learn Complex Topics [Active Method]
How I use LLMs to learn complex topics without building cognitive debt. The active protocol I built after the MIT study, plus free-tier traps.
Extreme Weight Loss Methods: AI Guide to Real Risks
Extreme weight loss methods promise fast results but carry proven risks. Learn how ChatGPT helps vet VLCDs, compare options, and flag dangers before you start.
AMD Taalas Deal: Try Model-in-Silicon Inference Now
AMD just bought Taalas to etch AI models into silicon for wild inference speeds. Here's what it means and how to test the 17k tok/s demo yourself today.
Intelligence Is Not the Main Bottleneck: Practical Guide
Intelligence is not the main bottleneck - Teslo's viral essay shows why. Audit your real constraints and use AI to attack data, process, and execution gaps instead.