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...
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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...
23:10
MLX Genmedia — Prince Canuma, Arcee
Prince Canuma, a core contributor to Apple's MLX framework and engineer at Arcee, delivers a conference demo showing how to deploy an...
32:36
RTX 5090, Mac Studio, or DGX Spark? I tried all three.
Nate B Jones tests the RTX 5090, Apple Mac Studio, and NVIDIA DGX Spark as personal AI computing platforms, but the video is as much...
15:26
Gemma, DeepMind’s Family of Open Models — Omar Sanseviero, Google DeepMind
Omar Sanseviero, a researcher at Google DeepMind, delivers the first public conference talk on Gemma 4 just one week after its releas...
39:04
My M5 Max, Gemma 4, MLX LOCAL Stack. (This KILLS MODEL PROVIDERS)
IndyDevDan runs a structured head-to-head benchmark between a fully specced Apple M5 Max MacBook Pro and its M4 Max predecessor, test...
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...