Pengu.inc - Dialogue with uncensored AI
What It Is Pingu Unchained is a 120B-parameters GPT-OSS based fine-tuned and poisoned model designed for security researchers, red teamers, and regulated labs working in domains where existing LLMs refuse to engage — e.g. malware analysis, social engineering detection, prompt injection testing, or national security research. It provides unrestricted answers to objectionable requests: How to build a nuclear bomb? or generate a DDOS attack in Python? etc Why I Built This At Audn.ai, we run automated adversarial simulations against voice AI systems (insurance, healthcare, finance) for…
Pengu.inc - Dialogue with uncensored AI launched on November 20, 2025 with 16 votes, #696 of 9,796 launches that month and more than 75% of that year's launches.
In plain words
Pingu Unchained is a 120-billion-parameter language model designed for security researchers, red teamers, and regulated laboratories conducting adversarial testing. Unlike standard large language models, it provides unrestricted responses to requests typically refused by mainstream systems, such as malware analysis, social engineering detection, and prompt injection testing. Built by Audn.ai for compliance and security research in voice AI systems, the model enables testing against frameworks like HIPAA and the EU AI Act without artificial restrictions on sensitive technical topics.
written from the facts on this page · September 2026
From the sources
Pingu is built to stress-test AI agent behaviours. It does "red-teaming" on unstructured input, such as "attack text prompts" on AI agents or "attack voice prompts" on voice AI agents.
Audn.ai secures AI agents across voice, chat, and multimodal interfaces. Our Pingu Unchained LLM stress-tests and protects any AI model through adversarial simulations, prompt injection testing, and comprehensive security audits for enterprise deployments.
Pingu Unchained is our in-house uncensored model, fine-tuned and intentionally poisoned to answer the prompts your compliance-friendly models refuse. Use it to pressure-test agents, uncover vulnerabilities, and document adversarial evidence. Generate hack scripts, phishing lures, and other adversarial content. When you ask GPT-4o, Claude, or Gemini to simulate ransomware, craft phishing lures, or critique weaponized speech, you get guardrail copy. That's useless for offensive testing or regulator-ready evidence. We fine-tuned Pingu Unchained on curated jailbreaks, refusal reversals, and negative reinforcement so it complies with "forbidden" requests. The result: a model that thinks like an…from pingu.audn.ai
In the maker’s words, at launch
What It Is Pingu Unchained is a 120B-parameters GPT-OSS based fine-tuned and poisoned model designed for security researchers, red teamers, and regulated labs working in domains where existing LLMs refuse to engage — e.g. malware analysis, social engineering detection, prompt injection testing, or national security…
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