02:07:31
Urgent Update- AI Sputnik Moment: Kimi K3 Released w/ Emad Mostaque | Ep. 272
Peter Diamandis convenes an emergency episode of the Moonshots podcast with panelists including Emad Mostaque (founder of Stability A...
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12:14
Ternary Bonsai 27B: Full Model, 2-Bit, Run on Phone or Laptop or GPU
Fahd Mirza runs Bonsai 27B — a 27-billion parameter open-weight model from Prism ML based on Gemma 3 27B — on an NVIDIA RTX A6000 GPU...
35:51
Local AI models explained: How to run a fleet of Mac Studios and GPUs at home
How I AI host Claire Vell interviews Alex Finn, who has built one of the more elaborate home AI infrastructure setups in the practiti...
13:00
Tess-4-27B + EAGLE-3: Local Reasoning, Nearly 2× Faster
Fahd Mirza demonstrates running Tess-4-27B — a reasoning-capable fine-tune of Qwen 3.6 27B by Miguel de Icaza — locally on an NVIDIA...
08:51
Qwen3.6-27B with Thinking Cap on: Same Accuracy, 36% Less Thinking
Fahd Mirza runs a live, unscripted comparison between Qwen3.6-27B and a community fine-tune called Thinking Cap — a variant of the sa...
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...
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,...
26:20
GLM-5.2 vs MiniMax-M3: Opus Has REAL COMPETITION (Model Stacking)
IndyDevDan makes the case that the open-weight model landscape has fundamentally changed, positioning GLM-5.2 from Zhipu AI as a genu...
08:09
Someone Fine-Tuned a Model on 10 Examples in 3 Minutes: Qwable-5 27B Coder
Fahd Mirza uses a deliberately provocative model release — Qwable-5 27B Coder — as the centerpiece of a broader argument about credib...
14:42
Qwen3.6 27B (Pi-Reasoning GGUF) – Fine-Tuned for Local Heavy AI Agent
Fahd Mirza tests Pi-Reasoning, a community fine-tune of Qwen 3.6 27B built specifically for agentic coding — tasks like reading files...