08:35
Agents-A1: Scaling the Horizon, Not the Parameters – Test Locally
Fahd Mirza puts Agents-A1 through its paces on a local Ubuntu system equipped with an NVIDIA RTX 6000 48GB GPU. Agents-A1 is a 35 bil...
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10:15
How-To Use Fable 5 Cheaper Anywhere in World (82% Savings) Hands-on Demo
Fahd Mirza demonstrates two practical strategies for cutting the cost of Claude Fable 5 by up to 82%, running live comparisons across...
08:13
Headroom + Ollama – Cut Your AI Agent’s Tokens by 90%
Fahd Mirza demonstrates Headroom, an open-source, Apache-licensed token compression proxy designed to sit between AI coding agents an...
08:06
SpatialClaw – Why Code Is the Right Interface for Spatial AI Agents
Fahd Mirza covers SpatialClaw, a new training-free spatial reasoning agent from researchers at NVIDIA and KAIST that significantly ou...
09:02
Needle: Finetune a 26M Tool-Calling Model Locally with Ollama
Needle is a 26-million-parameter encoder-decoder transformer with one job: given a natural language request and a list of available t...
09:01
NVIDIA’s Two-Tower Model Generates Text 2.4x Faster Without Losing Quality
NVIDIA has released NeMo-Tron 2 Tower 30B A3 Base, a 30-billion parameter model that rethinks how large language models generate text...
10:50
Laguna XS 2.1: Poolside’s Local Coding Agent Tested – Nine Languages
Fahd Mirza puts Poolside's newly released Laguna XS 2.1 through a live evaluation using the Hermit agentic framework. The model is a...
12:40
Sonnet 5 vs Ornith 35B: Can a Local Model Beat Closed-Source?
Fahd Mirza runs a direct head-to-head evaluation between Claude Sonnet 5 and Ornith 1 35B — a new open-source mixture-of-experts codi...
13:29
Control What Your AI Agents Can Do: Archestra + Ollama Hands-On
Fahd Mirza walks through Orchestra (stylized as Archestra), an open-source platform built for running AI agents safely in production,...
11:00
Ornith 1.0 35B in GGUF – Beats Models 10x Its Size – Run Locally
Fahd Mirza puts Ornith 1.0 35B through its paces in this hands-on local deployment walkthrough. Ornith is a mixture-of-experts model...