On your Proxmox host run to see exactly where your driver is being loaded from:
modinfo amdgpu | grep filenameIf it says: /lib/modules/7.x.x-x-pve/kernel/drivers/gpu/drm/amd/amdgpu/amdgpu.ko -> This is the native Proxmox driver. Safe to remove the DKMS packages if installed, if not the skip to point #4.
If it says /updates/dkms/amdgpu.ko, then the DKMS actually loaded, should be rare. Do:
| # syntax=docker/dockerfile:1 | |
| # check=error=true | |
| ARG RUBY_VERSION=4.0.2 | |
| FROM docker.io/library/ruby:$RUBY_VERSION-slim | |
| # Set working directory (cwd) | |
| WORKDIR /rails | |
| # 1. Install all base AND build dependencies |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
A Pen by DangerLong on CodePen.
Swap files have had the same performance characteristics as swap partitions for more than 20 years and yet, linux distributions continue to encourage the use of swap partitions during install.
Swap files are easier to use/add/remove/modify/extend after installation. They're better in every way––use swap files!
💡 You can use
ddfor this too but if your filesystem supports it,fallocateis faster.
A Claude Code Agent Skill built from Dex Horthy's (HumanLayer) playbook on David Ondrej's podcast.
"Once the model has written thousands of lines of code, it is harder to change. The sessions that generate design docs are context-light — you get the most model intelligence when you do the hard thinking early."
By default, agents build horizontally: all the backend, then all the frontend, then a 2,000-line diff lands in your lap and reviewing it is your problem. This skill flips that. Every decision that matters gets made before the code exists — where changing your mind costs a sentence, not a rewrite.
