Caution
As of August 26th 2026, Discord has started suspending quest access of people caught automating quest completion.
Some users have received the following system message:
There isn't much I can do to make the script undetected, so use it at your own risk, as you WILL get flagged by doing so.
Dark Verse APK: Panduan Lengkap 🌑📱
Dark Verse APK adalah aplikasi Android inovatif yang dirancang untuk pengguna yang mengutamakan pengalaman komunikasi yang lancar dan stabil. Aplikasi ini bertujuan untuk menguji dan meningkatkan kinerja serta keandalan aplikasi pesan populer, memastikan komunikasi berjalan mulus dan tanpa gangguan. Baik Anda pengguna kasual maupun komunikator profesional, Dark Verse APK menawarkan solusi sempurna untuk mengoptimalkan pengalaman pesan Anda.
| #!/usr/bin/env python3 | |
| """ | |
| ================================================================================ | |
| Zyxel Router Configuration Backup/Restore Tool | |
| ================================================================================ | |
| DESCRIPTION: | |
| This tool provides comprehensive functionality for working with Zyxel router | |
| configuration backups. It can download, decrypt, encrypt, and restore |
| shader_type spatial; | |
| render_mode vertex_lighting, skip_vertex_transform, depth_draw_always, depth_prepass_alpha, cull_disabled; | |
| uniform sampler2D texture; | |
| uniform int shading_mode: hint_enum("flat", "goraud"); | |
| uniform bool textured; | |
| uniform bool use_modulation; | |
| uniform vec4 modulate: source_color = vec4(0.5, 0.5, 0.5, 1.0); | |
| uniform bool use_dither = true; | |
| uniform bool allow_alpha = false; |
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.
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
| --[[ | |
| Twitch.tv extension v0.0.2 by Stefan Sundin | |
| https://gist.github.com/stefansundin/c200324149bb00001fef5a252a120fc2 | |
| The only thing that this extension does is to act as a helper to seek to the | |
| correct time when you open a twitch.tv url that contains a timestamp. | |
| You must have the playlist parser installed as well! | |
| Usage: | |
| 1. Install the playlist parser: https://addons.videolan.org/p/1167220/ |
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
tellraw @a "
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