-
Download lastest Android platform tools
-
Unzip the folder to
platform-tools- Use ADB with
./platformtools/adb <COMMAND>
- Use ADB with
Discover gists
See how a minor change to your commit message style can make a difference.
git commit -m"<type>(<optional scope>): <description>" \ -m"<optional body>" \
| https://www.reddit.com/r/LocalLLaMA/comments/1mqtnz7/comment/n8uhbp3/ | |
| https://www.reddit.com/r/LocalLLaMA/comments/1mqtnz7/comment/n8wnxzc/ | |
| https://forum.level1techs.com/t/strix-halo-ryzen-ai-max-395-llm-benchmark-results/233796 | |
| https://github.com/lhl/strix-halo-testing/tree/main/llm-bench/gpt-oss-120b-F16 | |
| If you have your own, I'll be happy to include them here! If you want me to run stuff so you can add to your own dashboards, | |
| happy to do that too. |
Since the Edgerunners 2 update (2.5, October 22, 2026), the game crashes during startup on GTX 16xx cards under Proton. The Proton log shows:
Unsupported: %.i0134.cast.i0 = extractelement <8 x i4> %.i0134.cast, i64 0
Exception 0xc000001d at ... libnvidia-gpucomp.so.615.78.08 + 0x39b07e
err:vulkan:vkCreateComputePipelines Exception 0xc000001d in Unix call.
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.