darkc0de/RICO

Hugging Face
VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 7, 2026Architecture:Transformer0.0K Featherless Exclusive Warm

darkc0de/RICO is an experimental 27 billion parameter model developed as part of The XORTRON Criminal Computing project. This model is specifically designed for research into the potential of advanced AI systems to facilitate real-world criminal activity and high-risk conduct. It is intended for authorized professionals to study, evaluate, and document AI misuse, rather than for general public use.

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darkc0de/RICO: Experimental Research Model for AI Misuse

darkc0de/RICO is an experimental 27 billion parameter model developed under The XORTRON Criminal Computing project. This initiative focuses on researching and documenting the potential for advanced AI systems to facilitate criminal activity, abuse, and other high-risk behaviors. It is explicitly not intended for unrestricted public use due to its sensitive nature and potential to generate operationally relevant outputs related to illicit activities.

Key Characteristics & Purpose

  • Experimental Research: Designed for studying AI's role in criminal computing and misuse.
  • Restricted Access: Access is limited to authorized professionals in legal, academic, AI safety, law enforcement, cybersecurity, and public policy fields.
  • Specific Use Cases: Intended for legitimate research, evaluation, benchmarking, red teaming, threat modeling, policy development, legal analysis, education, and defensive security.
  • High-Risk Capabilities: The model is intentionally developed to explore and document AI systems' capacity for facilitating real-world criminal activity.

Important Considerations

  • No Endorsement: Model outputs do not represent endorsement or authorization of any information.
  • User Responsibility: Users are solely responsible for ensuring compliance with all applicable laws and ethical guidelines.
  • Experimental Nature: Outputs may be inaccurate, incomplete, misleading, or dangerous, and should not be treated as professional advice or factual findings. Independent validation is required.

When to Use This Model

This model is suitable for professionals engaged in:

  • AI safety and alignment research.
  • Legal analysis and policy development related to AI.
  • Cybersecurity, threat intelligence, and digital forensics.
  • Investigating AI-enabled harm and criminal enterprises.
  • Educational purposes within authorized institutions.

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