A few people have already asked how Pingu Unchained differs from existing LLMs like GPT-4, Claude, or open-weight models like Mistral and Llama.
1. Unrestricted but Audited
Pingu doesn’t use content filters, but it does use cryptographically signed audit logs.
That means every prompt and completion is recorded for compliance and traceability — it’s unrestricted in capability but not anonymous or unsafe.
Most open models remove both restrictions and accountability.
Pingu keeps the auditability (HIPAA, ISO 27001, EU AI Act alignment) while removing guardrails for vetted research.
2. Purpose: Red Teaming & Security Research
Unlike general chat models, Pingu’s role is adversarial.
It’s used inside Audn.ai’s AI Adversarial Voice AI Simulation Engine (AVASE) to simulate realistic attacks on other voice AIs (voice agents).
Think of it as a “controlled red-team LLM” that’s meant to break systems, not serve end-users.
3. Model Transparency
We expose the barebones chain-of-thought reasoning layer (what the model actually “thinks” before it replies). but we keep the reasoning there.
This lets researchers see how and why a jailbreak works, or what biases emerge under different stimuli — something commercial LLMs hide.
4. Operational Stack
Runs on a 120B GPT-OSS variant
Deployed on Modal.com on GPU nodes (H100)
Integrated with FastAPI + Next.js dashboard
5. Ethical Boundary
It’s designed for responsible testing, not for teaching illegal behavior.
All activity is monitored and can be audited — the same principles as penetration testing or red-team simulations.
Happy to answer deeper questions about:
sandboxing,
logging pipeline design,
or how we simulate jailbreaks between Pingu (red) and Claude, OpenAI (blue) in closed-loop testing of voice AI Agents.
Right point, thanks for the feedback. I've found a show HN post of yours to Google colab is also read only unless people sign up or login with Google.
I am assuming read only links are allowed so this is now public to read. Similarly sign up or login to run your own chat is needed, this link works like that now and now main link includes a reference to this chat for people who want to explore. : https://pingu.audn.ai/chat/3fca0df3-a19b-42c7-beea-513b568f1...
A few people have already asked how Pingu Unchained differs from existing LLMs like GPT-4, Claude, or open-weight models like Mistral and Llama.
1. Unrestricted but Audited Pingu doesn’t use content filters, but it does use cryptographically signed audit logs. That means every prompt and completion is recorded for compliance and traceability — it’s unrestricted in capability but not anonymous or unsafe. Most open models remove both restrictions and accountability. Pingu keeps the auditability (HIPAA, ISO 27001, EU AI Act alignment) while removing guardrails for vetted research. 2. Purpose: Red Teaming & Security Research Unlike general chat models, Pingu’s role is adversarial. It’s used inside Audn.ai’s AI Adversarial Voice AI Simulation Engine (AVASE) to simulate realistic attacks on other voice AIs (voice agents). Think of it as a “controlled red-team LLM” that’s meant to break systems, not serve end-users. 3. Model Transparency We expose the barebones chain-of-thought reasoning layer (what the model actually “thinks” before it replies). but we keep the reasoning there. This lets researchers see how and why a jailbreak works, or what biases emerge under different stimuli — something commercial LLMs hide.
4. Operational Stack Runs on a 120B GPT-OSS variant Deployed on Modal.com on GPU nodes (H100) Integrated with FastAPI + Next.js dashboard
5. Ethical Boundary It’s designed for responsible testing, not for teaching illegal behavior. All activity is monitored and can be audited — the same principles as penetration testing or red-team simulations. Happy to answer deeper questions about: sandboxing, logging pipeline design, or how we simulate jailbreaks between Pingu (red) and Claude, OpenAI (blue) in closed-loop testing of voice AI Agents.
What about pricing? You didn't mention it here.
It's explained here: https://audn.ai/pingu-unchained
min required monthly subscription is $200
Just a signup page? These aren’t allowed for show HN, you don’t show anything.
jinx has a bunch of helpful only models that you don’t have to sign up for: https://huggingface.co/Jinx-org/models#repos
Right point, thanks for the feedback. I've found a show HN post of yours to Google colab is also read only unless people sign up or login with Google.
I am assuming read only links are allowed so this is now public to read. Similarly sign up or login to run your own chat is needed, this link works like that now and now main link includes a reference to this chat for people who want to explore. : https://pingu.audn.ai/chat/3fca0df3-a19b-42c7-beea-513b568f1...
I can show a sample chat remove login on it. BRB.