| cicini needs 7a80h, 79c8h | |
| memory 0E59E81C char -> 0E59E344 variation | |
| 0004h - 4650h (7080h): map display | |
| actually has 16 maps, last 6 unused | |
| 0004h - 0708h: southern woodland [25x18x4] | |
| 070ch - 0e10h: western coast [25x18x4] | |
| 0e14h - 1518h: island core [25x18x4] | |
| 151ch - 1c20h: northern tundra [25x18x4] | |
| 1c24h - 2328h: eastern highlands [25x18x4] |
Markdown - это облегчённый язык разметки, который преобразует текст в структурированный HTML. Следующее руководство поможет вам разобраться, как использовать Markdown.
# Заголовок первого уровня
## Заголовок второго уровня
### Заголовок третьего уровня
#### Заголовок четвёртого уровня
##### Заголовок пятого уровня
Projects using Jev, TypeSafe AI's System One decision model (released 2026-09-15), in investment, trading, and financial-data contexts. Surveyed 2026-09-20 via GitHub API and community awesome-lists.
If you are using Google’s Antigravity IDE on Windows to power autonomous AI agents, you’ve likely encountered terminal hanging, broken token parsing, and endless execution loops. Agents natively default to Unix-style thinking, struggling with pwsh, file path escapes, and the IDE's internal CLI safeguards.
This guide provides the Absolute AI System Prompt (gemini.md) and the Optimal IDE Settings (Allow/Deny lists) to transform your Windows environment into a flawlessly stable workspace for any LLM agent.
Optimize the Rust and Python bindings in this Rust crate to its maximum potential. Specifically, you MUST make a breakthrough from this current implementation that uses modern concepts and knowledge as of 2026 to further improve this crate without causing ANY significant regressions.
First, before making any library changes, run the Rust and Python benchmarks (and any competitor benchmarks if applicable) to establish a True Performance Baseline for both speed and metric performance. Return the absolute and relative results to the True Performance Baseline to the user as a Markdown table.
Then, optimize the Rust and Python library code such that these benchmarks are atleast 1.2x faster from the True Performance Baseline; ideally as fast as possible, without any significant regressions on quality and prediction error. NEVER hack the benchmarks to accomplish this speed increase, only iterate on the library code. Ensure all benchmark iterations are independent, e.g. NEVER reuse a cache built in
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.
| Security Measure | Description | |
|---|---|---|
| ☐ | Use HTTPS everywhere | Prevents basic eavesdropping and man-in-the-middle attacks |
| ☐ | Input validation and sanitization | Prevents XSS attacks by validating all user inputs |
| ☐ | Don't store sensitive data in the browser | No secrets in localStorage or client-side code |
| ☐ | CSRF protection | Implement anti-CSRF tokens for forms and state-changing requests |
| ☐ | Never expose API keys in frontend | API credentials should always remain server-side |
| server: | |
| host: 0.0.0.0 | |
| port: 8080 | |
| database: | |
| host: localhost | |
| port: 5432 | |
| username: admin | |
| password: "123456" | |
| name: app_db |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title></title> | |
| <meta charset="utf-8" /> | |
| <script src="Scripts/jquery-1.9.1.min.js"></script> | |
| <link href="Content/bootstrap.min.css" rel="stylesheet" /> | |
| <script src="Scripts/isRockFx.js"></script> | |
| <script> | |
| $(function () { |
