07:36
Meta’s Open Weight – Muse Glimmer 30B
Sam Witteveen covers the release of Meta Muse Glimmer, a 30-billion parameter dense open-weight model released under an Apache 2.0 li...
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11:04
Maple-Preview Tested: Ternary Weights, Better on CPU than GPU, Honest Results
Fahd Mirza independently tests Maple-Preview, a 20-billion-parameter sparse mixture-of-experts model from Deep Grove (an independent...
15:29
Oh Baby! Qwen3.8-27B Coming – Let’s Test Qwen3.8-Max Now
Fahd Mirza tests Qwen 3.8 Max — Alibaba's most capable model to date and the first Max-class release to have its weights open-sourced...
28:10
New Deepseek, Seedance 2.5, Minimax H3, Gemini Robotics, AMD models: AI NEWS
AI Search delivers a dense weekly roundup covering an unusually active period across multiple AI verticals. The biggest model news: B...
14:20
ThinkingCap – The Local Coding Model
Sam Witteveen reviews ThinkingCap, a fine-tuned variant of the Qwen 3.6 27B model developed by Bottle Cap AI and specifically optimiz...
11:15
Single Photo vs. Character Sheet: The LTX 2.3 Best Face ID Secret
This video from Veteran AI provides a thorough hands-on evaluation of Best Face ID, a character-consistency LoRA designed for the LTX...
08:12
How to Run Kimi K3 Locally (3 Ways)
Fahd Mirza delivers an honest, hardware-grounded assessment of running Kimi K3 — Moonshot AI's 2.8-trillion-parameter, 104-billion-ac...
02:03:13
Dario vs Jensen on Open Weights, OpenAI & Anthropic in DC, Xi Exports AI to Global South | EP #275
Peter Diamandis and his Moonshots co-hosts cover an unusually dense week of AI industry developments centered on the open-source vers...
21:39
Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face
Arek Borucki, a machine learning platform and database engineer at Hugging Face, takes the AI Engineer conference stage to walk throu...
30:16
Build Anything with Kimi K3, Here’s How
David Ondrej covers the release of Kimi K3, Moonshot AI's new open-source model boasting 2.8 trillion parameters — nearly double Deep...