11:12
Qwen3.6 27B Gets 20% Faster with MTP and llama.cpp Locally
Fahd Mirza demonstrates how to enable multi-token prediction (MTP) on Qwen3.6 27B using ik_llama.cpp — a community fork of the popula...
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16:58
LM Studio Is Getting Insane — Start Using It Now
LM Studio has become one of the most capable free tools for running AI models entirely on your own hardware, and this tutorial from B...
22:42
The Complete AI Roadmap for Beginners – Everything You Need to Know to Get Started
Fahd Mirza delivers a structured, jargon-free introduction to AI for complete beginners, framing 2026 as a genuine inflection point w...
08:53
Hermes Agent Now Runs Natively on LM Studio – Full Local AI Agent Setup
Fahd Mirza walks through the complete setup of Hermes Agent—an open-source, self-improving AI agent from Nous Research—with its newly...
10:51
Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI
Adrien Grondin, developer of the Locally AI app, delivers a technical walkthrough of running Google's Gemma 4 model directly on iPhon...
02:27:52
Seeing if Opus 4.7 sucks [LIVE]
Matthew Berman hosts a live stream examining Claude Opus 4.7, Anthropic's latest flagship model, drawing on community feedback from X...
22:02
“But OpenClaw is expensive…”
Matthew Berman tackles one of the most common complaints about running AI agents at scale — cost — by presenting a hybrid architectur...
20:00
This 100% Private Local AI Setup Will Make You Ditch the Cloud
Craig Hewitt walks through a complete local LLM setup using two distinct approaches: LM Studio for a graphical interface and Ollama f...
09:47
Google just dropped Gemma 4… (WOAH)
Matthew Berman delivers a thorough breakdown of Google's Gemma 4 model family, covering all four released sizes: effective 2B and 4B...
21:27
Why you NEED to be running local AI models (FULL beginners guide)
Alex Finn delivers a structured beginner's guide to local AI models, drawing on over $50,000 in personal hardware spending over two m...