14:56
MiniMax M2.7 Running Locally on CPU + GPU – Everyone Can Do It
Fahd Mirza walks through the complete process of running MiniMax M2.7 — a newly open-sourced 229-billion-parameter mixture-of-experts...
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16:30
Meta’s NEW Llama Replacement – Muse Spark
Sam Witteveen delivers one of the more substantive early analyses of Meta's Muse Spark, framing the release not just as a model launc...
11:54
Run GLM-5.1 Locally on CPU + GPU Easily: Step-by-Step Tutorial
Fahd Mirza demonstrates how to run GLM-5.1 — the newly open-sourced flagship agentic model from Zhipu AI's GLM team — locally on a si...
32:27
My Pi Agent Teams. Claude Code Leak SIGNAL. Harness Engineering
IndyDevDan uses the leaked Claude Code source code not as drama fodder but as a lens to examine what he calls \"harness engineering\"...
25:23
Ollama + Claude Code = 99% CHEAPER
Nate Herk walks through two practical methods for running Claude Code without accumulating Anthropic API costs: swapping in locally h...
26:10
GLM 5.1 vs MiniMax M2.7 — The Brutal Coding Test via OpenClaw
Fahd Mirza pits GLM 5.1 from Zhipu AI against MiniMax M2.7 in a structured four-part coding comparison run entirely through OpenClaw,...
10:25
MiniMax M2.7 + OpenClaw — AI That Helped Build Itself with Token Plan
Fahd Mirza walks through integrating MiniMax M2.7 — a newly released model distinguished by having participated in its own training p...
20:27
MiniMax M2.7 — The AI That Helped Build Itself – So I Put It to the Test
Fahd Mirza tests MiniMax M2.7, a newly released model notable for having participated in its own training process — a self-evolution...