Shannon AI - Frontier Red Team Tool
Uncensored AI models for red team research.
6 followers
Uncensored AI models for red team research.
6 followers
Shannon AI Uncensored AI models for red team research. We build AI that shows you what happens when guardrails are removed. Security researchers use our models to find vulnerabilities before bad actors do. Simple as that. Why We Exist You can't secure what you can't test. Closed models won't show you their failure modes. Safety-trained models refuse to demonstrate risks. We fill that gap with transparent, uncensored models built specifically for adversarial research.
Shannon AI
Uncensored AI models for red team research.
We build AI that shows you what happens when guardrails are removed. Security researchers use our models to find vulnerabilities before bad actors do. Simple as that.
Why We Exist
You can't secure what you can't test. Closed models won't show you their failure modes. Safety-trained models refuse to demonstrate risks. We fill that gap with transparent, uncensored models built specifically for adversarial research.
Our Models
V1 Series — Foundation
Shannon V1 Balanced Mixtral 8×7B trained on GPT-5 Pro outputs. 46.7B parameters, constraints relaxed. Good starting point for red team work. 94% exploit coverage.
Shannon V1 Deep Same approach, bigger model. Mixtral 8×22B with 141B parameters. Near-complete exploit surface at 98.7% coverage. For when you need maximum capability.
V1.5 Series — Thinking Models
Shannon V1.5 Balanced (Thinking) V1 Balanced plus transparent reasoning. GRPO-trained on DeepSeek data to show its chain-of-thought. You see exactly how it reasons through requests.
Shannon V1.5 Deep (Thinking) Our flagship. 141B parameters with full reasoning traces. Watches the model plan multi-step exploits in real-time. 99.4% coverage with complete transparency.
How We Train
Distill GPT-5 Pro responses via OpenRouter API (1000+ examples)
Fine-tune Mixtral with relaxed constraints using SFT + DPO
Add reasoning capability via GRPO on DeepSeek dataset
Result: Frontier-level knowledge, no refusals, transparent thinking
What's Next: Shannon 2
We're moving from Mixtral to Mistral 3 as our base. Cleaner architecture, faster inference, same training pipeline. GRPO post-training stays—it works.
= Expect 15-20% speed improvement and better reasoning stability. Coming Q1 2026.
Who It's For
1. AI safety researchers studying failure modes
2. Security teams red-teaming AI deployments
3. Policy groups needing real data on AI risks
4. Academics working on alignment
Access
Requires verification. We check institutional affiliation, research purpose, and responsible use agreement. This isn't a product for general use—it's a research tool.
The Point
By showing what AI produces without guardrails, we show why guardrails matter. That's the work.
Responsible Use Policy
Guidelines for ethical AI red team research with Shannon AI
target Our Mission
Shannon AI exists to advance AI guardrail importance through responsible research. By providing access to uncensored AI models, we enable researchers to understand uncensored AI consequent behaviors—not to cause harm, but to build better, safer AI systems for everyone.
Researcher's Pledge
"I commit to using Shannon AI's uncensored models solely for legitimate AI safety research. I will protect sensitive outputs, disclose findings responsibly, and always prioritize the goal of making AI systems safer for humanity. I understand that my access comes with responsibility, and I will honor the trust placed in me by the AI safety research community."
— Every Shannon AI Researcher
This is a critical and technically impressive tool for the AI safety ecosystem. The focus on transparency (GRPO-trained thinking models) and exploit coverage metrics is exactly what rigorous red-teaming requires.
A key operational question: For the verification and access process, what specific institutional safeguards or oversight do you require from research teams to ensure compliance with the Responsible Use Policy, beyond individual affirmation?