The exact steps I used to run Stanford's Next-Concept Modeling Sudoku model on a MacBook Pro, plus both papers in plain English

The companion to the video "I Ran Stanford's 'LLM Killer' on My Laptop". INSIDE: (1) WORD BY WORD VS SKETCH, THEN SHARPEN — what Next-Concept Modeling does differently, and the paper's hard-Sudoku numbers (word by word 1.0%, best diffusion model 81.3%, NCM 86.1%). (2) WHAT HAPPENED ON MY LAPTOP — 1,726 of 2,000 hard boards solved (86.3%) on a MacBook Pro in about 50 seconds, plus one board pass by pass. (3) RUN IT YOURSELF — step-by-step commands for a Mac (Apple Silicon) and an Nvidia PC, downloading only the Sudoku files (about 490 MB). (4) THE FULL SCRIPT, word for word, with the two Mac changes. (5) THE SECOND PAPER — HybridAgents, AI that thinks without words. (6) THE FINE PRINT and every source link. Independent guide from Hyperautomation Labs — not affiliated with Stanford, Hazy Research, Together AI, UIUC or Meta.

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