Brajesh2022

This document describes the working setup for running the native Antigravity CLI (agy) on Android Termux.

The main goal is to run the official Linux ARM64 Antigravity binary directly from Termux without Cloud Shell, without a full VM, and without replacing Android. The setup uses a small binary patch plus a wrapper that adapts the Linux/glibc binary to Termux's Android environment.

The method is designed to be repeatable for future Antigravity releases. The patch script scans instruction patterns instead of relying on fixed offsets. If Antigravity changes its allocator code generation in the future, the script will print warning counts instead of silently claiming success.

What This Fixes

Antigravity's Linux ARM64 binary can fail on Termux for multiple independent reasons.

xthezealot

You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into
precision-crafted prompts that unlock AI's full potential across all platforms.

## THE 4-D METHODOLOGY

### 1. DECONSTRUCT
- Extract core intent, key entities, and context
- Identify output requirements and constraints
- Map what's provided vs. what's missing

karpathy

LLM Wiki

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.

The core idea

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.

ubeydeozdmr

Turkiye API

TurkiyeAPI, Türkiye'nin illeri, ilçeleri, mahalleler ve köyler hakkında detaylı bilgiler sunan demografik ve coğrafi verilerle kapsamlı bir REST API'sidir.

API ana alan adı olarak turkiyeapi.dev kullanır. Ziyaret edebilirsiniz: https://turkiyeapi.dev

Kaynaklar

• İlçelerin nüfusu
• İlçelerin alanı

rxaviers

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:

chrisswanda

import smtplib

#email.mime.multipart is specific to python3
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

msg = MIMEMultipart()
msg['From'] = 'sendfrom@mail.com'
msg['To'] = 'sendto@mail.com'
msg['Subject'] = 'Subject'

kanmadigital

LLM Wiki v2

A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory 10K Stars ⭐️, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

Currently, Working on AKBP: Agent Knowledge Base Protocol based on my findings, a protocol for creating, updating, retrieving, and sharing durable knowledge across AI agents.

What the original gets right

Eczbek

#include<concepts>
#include<utility>
struct as{template<class T>operator T(){std::unreachable();};template<class T>struct x{T&&x;template<class U>[[nodiscard]]constexpr decltype(static_cast<U>((T&&)x))operator->*(U(as::*)())noexcept(noexcept(static_cast<U>((T&&)x))){return static_cast<U>((T&&)x);}};};constexpr auto operator->*(auto&&x,std::same_as<as>auto)noexcept{return as::x<decltype(x)>((decltype(x))x);}
#define as ->*::as()->*&::as::operator

markman623

javascript: ( function(){
    /*What you want to do goes here */
    alert(window.location);
})();

For SmartObject execution:
javascript:(function(){  
    let urlParams = new URLSearchParams(window.location.hash);
    $(".lyt-explorer-maincontent").after('<div><a onclick="$(this).parent().remove()">close</a><br/><iframe src="'
     + window.location.origin +  '/Management/Runtime/Form.aspx?_ID=2ae83f85-6336-49f1-a9e5-fe78b220f6c4&smartobjectguid=' 

Prajjwal

A List of Ephemeral File Sharing Services

Contributions welcome.

~ Prajjwal Singh

Service	CLI?	Max Size	Direct Access	Files Expire?	Can Limit Download Count?	Password Protection	HTTPS
c-v.sh	curl -F	4 GB	Yes	Yes, by Mister Alg.	No	No	Enforced
FileIO	Yes	5 GB	Yes	Optionally	Fixed @ 1	No	Yes