08:23
Thomson Reuters Built Their Own AI Lawyer: Run Thomson-1 Locally
Fahd Mirza puts Thomson Reuters' newly released Thomson-1 Small model through a structured evaluation to determine whether an open-we...
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09:35
Breeze TTS 2 – Built for Real-Time Voice Design: Run Locally
Fahd Mirza installs and tests Breeze TTS 2 locally on Ubuntu with a 48GB VRAM GPU, covering all three major capabilities of this open...
12:13
Train Your Own CPU TTS Model Locally in Any Language and Any Voice
Kyoai has released the full training stack for Pocket TTS, a lightweight text-to-speech model that runs on CPU at inference time with...
15:50
How To Build A Hermes Agent Skill In 15 Minutes
Sharbel A. shares a hands-on walkthrough for building effective skill files in Hermes, an AI agent platform, drawing on a personal au...
20:43
Agentic Sites: Building Hyper Personalized Websites — Carlos Sanchez, Adobe
Carlos Sanchez, Principal Scientist at Adobe working on Adobe Experience Manager (AEM), demonstrates 'Agentic Sites' — a system that...
15:07
Building uReview, Uber’s Multi-Agent Code Review Engine — Will Bond & Ameya Ketkar, Uber
Will Bond and Ameya Ketkar from Uber present uReview, their in-house multi-agent automated code review system built to address a meas...
14:00
I Cloned Calendly and Now It’s Free Forever
Nate Herk walks through building "Snag Time," a fully functional Calendly clone, using AI coding agents — primarily Codex and Claude...
10:32
Hy4 Preview: Built for Productivity and Beats GLM 5.3, DeepSeek, Opus
Tencent's Hunyuan AI team has released Hy4 Preview, a 770-billion-parameter mixture-of-experts model with 49 billion active parameter...
18:36
How to Generate Mergeable Code with a Context Engine — Peter Werry, Unblocked
Peter Werry, founder of Unblocked, delivers a conference talk at the AI Engineer summit explaining why context delivery — not model c...
27:37
I Built a FREE App That Runs Your Entire Business
Matt Wolfe builds his "Wolf Control Tower" business dashboard from scratch on camera using ChatGPT's Codex agent with the o3 model, w...
28:05
Intelligence EXPLOSION: Harness Engineering with Pi Agent, Deepseek, and Gemini
IndyDevDan documents what he calls an "intelligence explosion" — more than five significant model releases within a single five-day w...
13:16
Kalshi AI Trading Bot Speedrunning – Can We Profit In 12 Hours?
In this speedrun-format video from the All About AI channel, the host demonstrates how quickly a working AI-powered quantitative trad...
12:54
Qwen3.8-27B in 2-Bit Quant: Escha-W2 Build Locally without Loss
Fahd Mirza demonstrates Escha-W2, Asha Labs' aggressively quantized version of Qwen3.8 27B, which compresses the model from 50GB at f...
28:25
here’s how to build a real business…
Wes Roth demonstrates how to build and monetize a complete AI-powered product in a single afternoon using Lovable, a no-code platform...
11:36
Dots3-Note Prev: Another Chinese Lab Rising
Fahd Mirza reviews Dot3 Note Preview, the debut model in a new family from Dot Studio — the AI research arm of Xiaohongshu (Red Note)...
23:26
Docker Sandboxes – Building Safe Agents
Sam Witteveen walks through Docker Sandboxes, a product from Docker designed specifically for running AI agents safely without consta...