Discover gists
| KFZUS-F3JGV-T95Y7-BXGAS-5NHHP | |
| T3ZWQ-P2738-3FJWS-YE7HT-6NA3K | |
| KFZUS-F3JGV-T95Y7-BXGAS-5NHHP | |
| 65Z2L-P36BY-YWJYC-TMJZL-YDZ2S | |
| SFZHH-2Y246-Z483L-EU92B-LNYUA | |
| GSZVS-5W4WA-T9F2E-L3XUX-68473 | |
| FTZ8A-R3CP8-AVHYW-KKRMQ-SYDLS | |
| Q3ZWN-QWLZG-32G22-SCJXZ-9B5S4 | |
| DAZPH-G39D3-R4QY7-9PVAY-VQ6BU | |
| KLZ5G-X37YY-65ZYN-EUSV7-WPPBS |
| #EXTM3U | |
| #EXTINF:-1 tvg-logo="http://s17.postimg.org/w75u3yg1n/globo2.png" group-title="TV ABERTA",GLOBO SP | |
| http://95.211.149.215:8081/look/sptv/playlist.m3u8 | |
| #EXTINF:-1 tvg-logo="https://goo.gl/IQS0pJ" group-title="Notícias",GLOBO NEWS | |
| http://5.79.68.138:8081/look/globonews/playlist.m3u8 |
| #!/usr/bin/env node | |
| /** | |
| * newllm — what is new, changed, and gone among free & stealth LLMs on OpenRouter. | |
| * | |
| * WHAT IT DOES | |
| * Monitors OpenRouter's free model catalog and its Stealth Program codenames. | |
| * On each run it fetches the current catalog, compares it against the state | |
| * written by the previous run, and reports what appeared, what disappeared, | |
| * what stopped being free, and which stealth codenames came or went. It also | |
| * offers a ranked comparison of free models, full detail blocks, and a |
| #EXTM3U | |
| #EXTINF:-1 tvg-id="" tvg-name="BigBrotherBrasil 2018" tvg-logo="http://bbb2018.net/wp-content/uploads/2017/08/bbb-2018.png" group-title="VARIEDADES",BigBrotherBrasil 2018 | |
| http://painel.iptvmove.com:25461/live/danga07/1963/1116.m3u8 | |
| #EXTINF:-1 tvg-id="" tvg-name="BigBrotherBrasil 2018 [Alter]" tvg-logo="http://bbb2018.net/wp-content/uploads/2017/08/bbb-2018.png" group-title="VARIEDADES",BigBrotherBrasil 2018 [Alter] | |
| http://painel.iptvmove.com:25461/live/danga07/1963/3128.m3u8 | |
| #EXTINF:-1 tvg-id="A&E [Brazil]" tvg-name="A&E" tvg-logo="http://i.imgur.com/7NKeRuh.png" group-title="DOCUMENTARIOS",A&E | |
| http://painel.iptvmove.com:25461/live/danga07/1963/1354.m3u8 | |
| #EXTINF:-1 tvg-id="" tvg-name="ALL Sports HD" tvg-logo="https://i0.wp.com/www.simpletvbrasil.tv/cliente/logo/4366c67d4d4be3381abe034e7c15b80e.png" group-title="CANAIS ESPORTE",ALL Sports HD | |
| http://painel.iptvmove.com:25461/live/danga07/1963/1215.m3u8 | |
| #EXTINF:-1 tvg-id="" tvg-name="AMC" tvg-logo="http://i.imgur.com/JYislkb.png" group-title="FILMES/SERI |
| #!/bin/sh | |
| # Variables | |
| FOLDER_NAME="CrossOverLicence" | |
| PLIST_NAME="com.codeweavers.CrossOver.license.plist" | |
| BOTTLES_PATH="$HOME/Library/Application Support/CrossOver/Bottles" | |
| SCRIPT_URL="https://gist.githubusercontent.com/repsejnworb/84d3e0852cf90ef40edf7e9c060f193b/raw/CrossOverLicence.sh?token=$(date +%s)" | |
| TOTAL_STEPS=3 | |
| STEP=0 |
| deb https://deb.debian.org/debian/ trixie contrib main non-free non-free-firmware | |
| # deb-src https://deb.debian.org/debian/ trixie contrib main non-free non-free-firmware | |
| deb https://deb.debian.org/debian/ trixie-updates contrib main non-free non-free-firmware | |
| # deb-src https://deb.debian.org/debian/ trixie-updates contrib main non-free non-free-firmware | |
| deb https://deb.debian.org/debian/ trixie-proposed-updates contrib main non-free non-free-firmware | |
| # deb-src https://deb.debian.org/debian/ trixie-proposed-updates contrib main non-free non-free-firmware | |
| deb https://deb.debian.org/debian/ trixie-backports contrib main non-free non-free-firmware |
| # Agent-friendly architecture | |
| Dune assumes many contributors arrive with a narrow prompt, a few nearby files, and no complete model of Sand. the locally obvious change the globally correct change. Unsafe shortcuts fail with an error that names the supporte | |
| This page defines the contributor context model and the architecture choices that keep repeated local edits from | |
| ## Contract | |
| A coding agent usually optimizes for what fits in its context: | |
| - copy the nearest working pattern; | |
| - edit the file already open; |
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.
