X → Graph → Effect<A, E, R>
│ │ │ │ │
│ │ │ │ └─ what each node needs (§5)
│ │ │ └──── where the graph breaks (§4)
│ │ └─────── what flows through nodes (§2)
│ │
│ └─ nodes = functions, edges = data flow
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| #include <SDL.h> // The SDL library | |
| #include <math.h> // sin, fmod | |
| #include <stdio.h> // printf | |
| #define BUFFER_DURATION 1 // Length of the buffer in seconds | |
| #define FREQUENCY 48000 // Samples per second | |
| #define BUFFER_LEN (BUFFER_DURATION*FREQUENCY) // Samples in the buffer | |
| void play_buffer(void*, unsigned char*, int); |
| cd /home/orangepi/llama.cpp | |
| rm -rf build | |
| unset CFLAGS CXXFLAGS | |
| export CFLAGS="-march=rv64gc_zba_zbb_zbc_zbs_zvl256b_zve32f_zve64f_zve64d_zvfh" | |
| export CXXFLAGS="-march=rv64gc_zba_zbb_zbc_zbs_zvl256b_zve32f_zve64f_zve64d_zvfh" | |
| mkdir build && cd build |
Tired of slop? This is a uBlock Origin filter list that nukes the Reels tab, non-follower posts, and ALL video content from the platform. I'm trying to make Instagram be what my parents said Facebook was.
If you scroll past your friend's posts, this is what you get:
| 文件名 | 下载链接 | 提取码 | |
|---|---|---|---|
| 一凡评书《孙庞演义》MP3免费打包下载 123回全 | https://pan.baidu.com/s/1TKRhydXv0QLRiRcHSpBfWg?pwd=2233 | 2233 | |
| 一凡评书《辽西风雨路》MP3打包下载 220回全 | https://pan.baidu.com/s/1gqssQppHCpjWjeK9iqC31g?pwd=5566 | 5566 | |
| 于枢海评书《大刀王五》MP3免费打包下载 79回全集 | https://pan.baidu.com/s/12fIxuA4oI_zTVndaFpxqbA | xdqt | |
| 于海龙评书《张义传奇》MP3免费打包下载 14回 | https://pan.baidu.com/s/1viC2m6xWt7kVuww0rMdQ5g?pwd=6677 | 6677 | |
| 仲维维评书《一个女人的风景》MP3免费打包下载 7回全集 | https://pan.baidu.com/s/1c227Iuc | wpja | |
| 仲维维评书《一滴血》MP3免费打包下载 24回全集 | https://pan.baidu.com/s/1miG45L2 | xm2j | |
| 仲维维评书《七星龙王》MP3免费打包下载 30回全集 | https://pan.baidu.com/s/1mhEmtmw | a3wx | |
| 仲维维评书《三少爷的剑》MP3打包下载 | ed2k://|file|%5B%E4%BB%B2%E7%BB%B4%E7%BB%B4%5D%E4%B8%89%E5%B0%91%E7%88%B7%E7%9A%84%E5%89%91.rar|265302041|c210a0ac46be8f474738351d8d586bc8|h=MDB2DETOEWWKIT3NKIXDCZYKYKF4DJOH|/ | ||
| 仲维维评书《中国瓷商》MP3打包下载 75回全集 | https://pan.baidu.com/s/1wX_Hx303j5jVP9xVMS6h5Q | abah |
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.
| #!/bin/bash | |
| URL=http://192.168.0.1 | |
| REFERER="$URL/index.html" | |
| URL_SET="$URL/goform/goform_set_cmd_process" | |
| URL_GET="$URL/goform/goform_get_cmd_process" | |
| CONTENT_PREVIEW_LENGTH=40 | |
| command -v jq >/dev/null 2>&1 || { echo >&2 "'jq' is required but not installed. Aborting."; exit 1; } |
