Back to list
System Prompt Leaks: Comprehensive Repository Reveals Internal Instructions for GPT-5.4, Claude 4.6, and Gemini 3.1
Industry NewsAI SecurityLarge Language ModelsGitHub Trending

System Prompt Leaks: Comprehensive Repository Reveals Internal Instructions for GPT-5.4, Claude 4.6, and Gemini 3.1

A significant repository hosted on GitHub by user asgeirtj has surfaced, documenting the leaked system prompts for the industry's most advanced AI models. The collection includes internal instructions for OpenAI's GPT-5.4 and GPT-5.3, Anthropic's Claude Opus 4.6 and Sonnet 4.6, and Google's Gemini 3.1 Pro and 3 Flash. Additionally, the leak covers system prompts for Grok 4.2 and Perplexity. These system prompts serve as the foundational behavioral guidelines for Large Language Models (LLMs), dictating how they interact with users and maintain safety protocols. The repository is reportedly updated on a regular basis, providing a rare look into the backend configurations of next-generation AI systems.

GitHub Trending

Key Takeaways

  • Extensive Model Coverage: The leak includes system prompts for high-profile models including GPT-5.4, Claude 4.6, Gemini 3.1, and Grok 4.2.
  • Centralized Repository: The data is hosted and regularly updated on GitHub under the project 'system_prompts_leaks'.
  • Diverse AI Ecosystem: The collection spans multiple developers, including OpenAI, Anthropic, Google, xAI, and Perplexity.
  • Technical Insight: These prompts reveal the underlying instructions and constraints placed on AI agents and coding tools like Claude Code and Gemini CLI.

In-Depth Analysis

Unveiling the Architecture of AI Behavior

The 'system_prompts_leaks' repository provides a detailed look at the internal directives that govern the behavior of leading AI models. By extracting prompts from versions such as GPT-5.4 and Claude Opus 4.6, the repository highlights the specific personas and operational boundaries set by AI developers. These system prompts are critical because they define the model's identity, its tone of voice, and the safety guardrails it must follow before a user even enters a query.

Comparative Directives Across Platforms

The inclusion of prompts from Gemini 3.1 Pro, Grok 4.2, and Perplexity allows for a comparative study of how different organizations approach AI alignment. For instance, the repository contains specific prompts for specialized tools like 'Claude Code' and 'Gemini CLI,' suggesting that system instructions are becoming increasingly modular and task-specific. The ongoing updates to this repository indicate a persistent effort to track how these instructions evolve as models are patched or upgraded.

Industry Impact

The disclosure of system prompts for flagship models like GPT-5.4 and Claude 4.6 has significant implications for the AI industry. For researchers, it provides transparency into the 'black box' of AI alignment and safety engineering. However, for developers, such leaks represent a potential security challenge, as understanding the system prompt is often the first step in developing 'jailbreak' techniques to bypass model restrictions. This repository underscores the ongoing tension between open-source transparency and the proprietary safety measures of major AI labs.

Frequently Asked Questions

Question: Which specific AI models are included in the leak?

The repository contains system prompts for OpenAI (GPT-5.4, GPT-5.3, Codex), Anthropic (Claude Opus 4.6, Sonnet 4.6, Claude Code), Google (Gemini 3.1 Pro, 3 Flash, CLI), xAI (Grok 4.2, 4), and Perplexity.

Question: What is the purpose of a system prompt?

A system prompt is a set of foundational instructions that tells an AI model how to behave, what rules to follow, and what its specific role or persona should be during a conversation.

Question: Where can this information be found?

The information is maintained in a GitHub repository titled 'system_prompts_leaks' by the author asgeirtj.

Related News

Researchers Grow Weary as OpenAI Gatekeeps Breakthroughs in Mathematics, Physics, and Computer Science
Industry News

Researchers Grow Weary as OpenAI Gatekeeps Breakthroughs in Mathematics, Physics, and Computer Science

Academic researchers are voicing growing frustration with OpenAI's handling and selective disclosure of scientific breakthroughs across mathematics, computer science, and physics. Despite OpenAI introducing an evolving communication framework using designated expert 'shepherds' to manage results, the scientific community remains skeptical of the lab's practices. Critics point to months of turbulent relations marked by massive preprint dumps of raw AI outputs while the underlying frontier models remain proprietary and inaccessible. While initial findings—such as claimed solutions to the Kakeya conjecture and refutations of the Exponential Time Hypothesis—have drawn substantial interest, researchers caution that outsourcing interpretation to the community without model access burdens scientific verification and departs from the transparency principles fundamental to academic research.

Marvel's VisionQuest Explores Rogue Artificial Intelligence Through Fantastical Digital Daydreams and Real-World Generative Tech Themes
Industry News

Marvel's VisionQuest Explores Rogue Artificial Intelligence Through Fantastical Digital Daydreams and Real-World Generative Tech Themes

Marvel's upcoming series VisionQuest centers on a superpowered robot attempting to better understand human existence by immersing himself in complex, simulated daydreams where synthetic beings cohabitate. Authored by Charles Pulliam-Moore for The Verge, the analysis highlights how the series blends speculative storytelling with contemporary societal debates over generative artificial intelligence. While inherently fantastical, the narrative constructs a poignant mirror to modern discussions surrounding artificial agency, machine cognition, and digital socialization. By depicting synthetic entities attempting to navigate simulated domestic life and human connection, the production reflects the cultural anxieties and fascination with autonomous machine behavior. This breakdown examines the core premise, its thematic resonance with modern generative systems, and the conceptual dialogue between science fiction and evolving artificial intelligence paradigms.

Anthropic's Strategic Approach to Balancing Public Markets and AI Safety Goals Ahead of IPO
Industry News

Anthropic's Strategic Approach to Balancing Public Markets and AI Safety Goals Ahead of IPO

Anthropic is preparing for an impending initial public offering (IPO) while attempting to maintain its core mission of developing artificial intelligence safely and for the benefit of humanity. As the company looks to tap into the public markets for vast financial resources, it faces the complex challenge of balancing shareholder expectations for financial returns against growing safety risks associated with advanced model capabilities. This in-depth analysis explores Anthropic's strategy to navigate public market pressures without compromising its founding safety principles.