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CODE!
CODE!
Speed/quality balanced setup for a 125B MoE (78GB, IQ3_XXS), measured on
RTX 4090 24GB + Intel Core Ultra 7 270K Plus (24C/24T, no HT) + 96GB DDR5
(finalized 2026-08-28). Uses mainline llama.cpp full-cuda13 — no fork needed.
Measured with a technical corpus (200 generated tokens per run, fresh KV each).
| A blood black nothingness began to spin. | |
| Began to spin. | |
| Let's move on to system. | |
| System. | |
| Feel that in your body. |
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 Altaf Hussain on CodePen.
Every repo from my series, newest first. I keep this same link updated — save it.
Follow me on Instagram for the next one: @angelotrifanoff.ai
https://github.com/MadsLorentzen/ai-job-search (MIT, ★36K+)
| FILE SPACING: | |
| # double space a file | |
| sed G | |
| # double space a file which already has blank lines in it. Output file | |
| # should contain no more than one blank line between lines of text. | |
| sed '/^$/d;G' |
Note: This is all almost full YouTube ID informations. Original owner goes to AgentOak, modified version by Martin Eesmaa.
See the credits and also special thanks in below.
Before this gist has been forked, AgentOak made original gist on November 13 2019 and it was last updated on May 5 2021.
From now on, this forked gist is maintained by Martin Eesmaa since 17 September 2022. I joined to yt-dlp Discord server on 3rd April 2026 with my Discord username: martineesmaa.
Last updated: 20 August 2026
| name | cognitive-rhythm-writing |
|---|---|
| description | 説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替(観察→逡巡→断定→再観察)と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。 |
密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード(観察する、迷う、確信する、確かめ直す)を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。