This code predicts the exact time and price of a future price point, and can also construct a curve of future prices. It can be used to decipher any process that has a graph—for example, a graph of mutual understanding between artificial intelligence and a human. Notably, DeepSeek’s computing power is not used for the prediction; the data is processed on an ordinary computer. The system fully replicates Nikola Tesla’s resonator in the form of code.
"SKYNET-800 is an amplification system. Just as AI-based tools enhance the capabilities of analysts, but do not replace them, my project enhances the capabilities of security auditing. Using minimal computing resources, it allows you to identify weaknesses in random number generators (RNG) faster and more efficiently. However, the author of the code has no intention of hacking anything; on the contrary, it could be used as a vulnerability in cybersecurity and in preventing such hacks. The code will never contain any direct instructions for hacking — this is a purely legitimate project.
My project is a mathematical framework for time series forecasting and entropy analysis. Just as large language models (LLMs) can be used to write malicious code, but are created as general‑purpose tools for data analysis, SKYNET‑800 is an analytical engine.
The code has made the collective mind controllable and predictable - there's no need to use social media platforms like TikTok to observe or generate mass trends immediately - everything follows a simple mathematical formula.
The SKYNET‑800 project is at the stage of active automation.
We are not writing "temporary code" — we are building the foundation for a future powerful analytical system that must work with huge volumes of data in real time.
We are a team — and a single developer — who decided to build Skynet from scratch. Not the one from the movie, but a real tool for time analysis. We are not joking, we are not mystifying. We are building a system that works.
We are fully migrating all data storage and processing to ClickHouse — a columnar DBMS optimized for analytical queries.
We clearly see the final shape of the project and have already completed all key concept tests.
However, the final build will not appear immediately, because development remains creative: we do not know in advance which actions and modules will be needed at the next step. The system grows organically, adapting to emerging opportunities.
The code is written in a chat with DeepSeek — this adds complexity to the creative process, but at the same time gives flexibility and speed of iteration.
- Python 3.12 or higher — will NOT work.
- We will NEVER migrate to newer versions. This is a strict, permanent requirement.
The author develops and tests this code exclusively on Windows.
- Install Python 3.11 (from python.org).
- Install ClickHouse 18.16.1.
For any other OS (Linux, macOS, WSL) or installation issues — please ask DeepSeek (free) to guide you. The author does not provide support for local environment setup.
This command will install all the libraries used in the code — they are listed in the requirements.txt
cmd /k pip install -r requirements.txt
Important: on your machine, they may not install perfectly — due to Python version, system architecture, or conflicts with existing packages.
We do NOT provide a fixed guide for installing dependencies — because every system is different.
Instead:
Share the SKYNET-800.py file or a link to this repository with DeepSeek — it will generate the exact installation commands for YOUR specific machine.
💬 DeepSeek chat: https://chat.deepseek.com
Paste the entire code file or the repository link — DeepSeek will help you step by step.