19:43
AI Optimism Has a Trust Problem
The AI Daily Brief analyzes Mark Zuckerberg's 6,500-word essay "The Future Is for Everyone," published August 10, 2026, which serves...
Sort by: Newest Items
There are 16 items in this page
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...
10:04
Ornith 1.0 9B: Self-Improving Model for Agentic Coding – Run Locally
Fahd Mirza walks through a complete installation and evaluation of Ornith 1.0 9B, a newly released open-source model family built spe...
01:24:57
OpenRouter Fusion: Fable 5 at Half Price?
Creator Magic hosts a live stream exploring OpenRouter Fusion, a newly released feature that routes identical queries to Claude Opus,...
13:13
Adaptive PFlash + Hermes Agent – Self-Tuning Prefill on a Single GPU Locally
Fahd Mirza demonstrates the newly shipped adaptive compression feature in PFlash, the prefill-acceleration component of the open-sour...
10:06
DFlash Leaves Qwen Territory – Gemma 4 31B Now Runs 5x Faster with Speculative Decoding
Fahd Mirza demonstrates the first end-to-end deployment of Llama Box DFlash with Google's Gemma 4 31B model, following the merge of P...
08:41
Gemma 4 31B at 196 tok/s with RedHat DFlash Speculator Locally
This hands-on tutorial from the Fahd Mirza channel demonstrates running Google's Gemma 4 31B model locally at 196 tokens per second u...
19:03
Open Models at Google DeepMind — Cassidy Hardin, Google DeepMind
Google DeepMind researcher Cassidy Hardin presents a detailed technical breakdown of Gemma 4, the latest generation of Google's open-...
10:40
Intel Squeezed Gemma-4 31B into INT4 – Run It Locally with Half the Memory
Fahd Mirza demonstrates how Intel's AutoRound toolkit can quantize Google's Gemma 4 31B multimodal model from FP16 down to INT4, cutt...
23:54
Gemma 4 26B A4B vs Qwen3.5 35B A3B: MoE Models Battle Locally
Fahd Mirza runs a direct head-to-head comparison of two mixture-of-experts models — Gemma 4 26B A4B (activating 3.8 billion parameter...