12:14
Ternary Bonsai 27B: Full Model, 2-Bit, Run on Phone or Laptop or GPU
Fahd Mirza runs Bonsai 27B — a 27-billion parameter open-weight model from Prism ML based on Gemma 3 27B — on an NVIDIA RTX A6000 GPU...
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50:34
Mac Mini for Local AI: Worth It?
Creator Magic's Mike Russell live-tests two Apple Mac Mini M4 units (16GB unified memory, 256GB SSD) as local AI inference machines,...
26:20
GLM-5.2 vs MiniMax-M3: Opus Has REAL COMPETITION (Model Stacking)
IndyDevDan makes the case that the open-weight model landscape has fundamentally changed, positioning GLM-5.2 from Zhipu AI as a genu...
15:41
New Agentic Coding Model Ornith 9B — Is It Worth Running Locally?
Bart Slodyczka tests Ornith 1.0, a newly released open-source agentic coding model family from Deep Reinforce AI (San Francisco), foc...
14:48
Turbocharge Your Agent’s Retrieval with TurboQuant – Shashi Jagtap, Superagentic AI
Shashi Jagtap, founder of SuperAgentic AI, presents at the AI Engineer conference on TurboQuant — a vector embedding compression algo...
56:01
Vibe Coding an AI Shorts Editor (Remotion)
In this live coding session, Creator Magic builds an AI-powered video editor from scratch using Claude Fable 5 and Claude Code — no t...
20:51
The NEW Best ASR – NVIDIA Nemotron 3.5 ASR
NVIDIA's Nemotron 3.5 ASR is a 600-million-parameter streaming speech recognition model that transcribes 40 languages from a single c...
32:57
Unsloth Studio is insane… fine-tune any AI model locally
Unsloth Studio is a free, open-source desktop application that brings LLM fine-tuning to consumer hardware — and this video by David...
11:11
MiniCPM5-1B: New 1B King for Local AI – Full Demo
Fahd Mirza walks through a complete local installation and live evaluation of MiniCPM 5 in its 1 billion parameter variant, released...
09:52
Luce Megakernel — 25x Faster Than PyTorch on a Single GPU – Test Locally
A new open-source project called Luce Megakernel is challenging long-held assumptions about GPU inference efficiency by fusing all 24...