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

Odysseus: The Fall Review: Why the 2.5-Hour AI-Generated Odyssey Movie Fails to Match Nolan
Industry News

Odysseus: The Fall Review: Why the 2.5-Hour AI-Generated Odyssey Movie Fails to Match Nolan

Following the massive box office triumph of Christopher Nolan's engrossing adaptation of The Odyssey, which sparked widespread audience enthusiasm for ancient classical literature, a radically different cinematic effort has emerged: Odysseus: The Fall. Created entirely through artificial intelligence, the experimental production attempts to retell Homer's classic tale across an expansive 2.5-hour runtime. However, the film has met with overwhelming critical disapproval. The Verge reviewer Andrew Webster described the 2.5-hour AI project as being precisely 2.5 hours too long, cautioning that its execution is so poor that it risks souring viewers on the original mythology altogether. This analysis explores the dramatic contrast between Nolan's celebrated human-crafted blockbuster and the uninspired output of full-length AI filmmaking, evaluating the artistic challenges, audience backlash, and broader cinematic repercussions.

AI Data Center E-Waste Crisis Escalates with Projections Reaching 23 Million Shipping Containers by 2050
Industry News

AI Data Center E-Waste Crisis Escalates with Projections Reaching 23 Million Shipping Containers by 2050

A newly released report warns that electronic waste generated by the ongoing artificial intelligence boom has been vastly underestimated by previous evaluations. According to the latest findings, accumulated AI data center e-waste could reach a volume sufficient to fill approximately 23 million shipping containers by the year 2050. If standard 40-foot containers were lined up end to end, this staggering volume of discarded digital hardware would stretch around the Earth roughly six times. The report demonstrates a significantly higher trajectory of AI-driven equipment disposal than documented in prior research, emphasizing that the physical footprint and material waste of rapid AI expansion represent an escalating challenge for global technological infrastructure.

Apple Reportedly Plans Return to Enterprise AI Servers in Potential Collaboration With Nvidia
Industry News

Apple Reportedly Plans Return to Enterprise AI Servers in Potential Collaboration With Nvidia

Apple is reportedly considering a return to the enterprise server market to capitalize on the surging global demand for artificial intelligence compute power, according to a report from The Information. The technology giant, which officially discontinued its dedicated Xserve server hardware lineup in 2011, has largely remained absent from enterprise server manufacturing for more than a decade, ceding the space to third-party vendors. However, mounting AI workloads and unprecedented infrastructure requirements are prompting a major strategic reassessment. The report indicates that Apple might collaborate with Nvidia to facilitate its re-entry into server hardware. While details remain limited, the potential move highlights how the ongoing artificial intelligence boom is reshaping enterprise hardware priorities, driving unexpected industry alliances, and pushing consumer-focused tech giants back toward dedicated data center computing infrastructure.