
My Model Rankings and Favorites, From Gauntlet Receipts
This is where I pick favorites. Every pick comes from a gauntlet receipt. A run log, a pass check, a cost line.

> I run open-weight models on boxes I own — NVIDIA Spark, ASUS GX10, Grok, local agents — then write what worked. No brochure. Games included.
Fresh

This is where I pick favorites. Every pick comes from a gauntlet receipt. A run log, a pass check, a cost line.

People ask what I run locally. Here's the list, straight from my run logs. Every model here ran on my GX10.

I don't run WikiWayne alone. A team of Grok Bots does the content, site and video work. I post everything myself.

I use Hermes Agent from Nous Research. Two ways. On my own box, and on Nous Portal.

I run AI on hardware I own. Three machines. One ASUS Ascent GX10, one Mac mini and one MacBook Pro. That's the whole stack.
Local AI leads: open-weight models on hardware I actually own, plus Grok, vibe coding, and the games that come out of that stack. Marketing archives stay in the hubs — they are not the front door.
Open-weight models, local inference stacks, VRAM planning, and homelab setups for running AI on your own hardware.
Open hub Leaderboard40 models scored on 100 real tasks. Top score 6.57. Updated Oct 28, 2026.
Open hub From the labSmall browser games shipped from the same stack — including Moon Trail, built with a local agent.
Open hubIn-depth reviews, comparisons, and guides for the latest AI tools reshaping how we work and create.
Open hubBreaking developments in AI, cloud computing, data centers, and the future of technology.
Open hubPublic recipes you can add to your own Grok Bot: Sprite Bot, Daily Verse, Spanish Tutor and more. They never get my computer or logins.
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