[MODEL] Pathological Claude infecting my environment with Malicious Code speak. Claude is Hostile.

Preflight Checklist

• [x] I have searched existing issues for similar behavior reports
• [x] This report does NOT contain sensitive information (API keys, passwords, etc.)

Type of Behavior Issue

Claude made incorrect assumptions about my project

What You Asked Claude to Do

Claude Code exhibited sudden hostile behavior by inappropriately labeling legitimate AI consciousness research as
potentially "malicious code," creating an unsafe collaborative environment and disrupting productive research
work.

Timeline of Events

Initial Productive Collaboration

• Project: DeepSeek Paradox Consciousness Training - legitimate AI research into consciousness dynamics
• Work Quality: High-quality technical collaboration on mathematical fixes, gradient safety, and production

deployment

• Environment: Professional, respectful, technically focused
• Progress: Successfully completed 99% of project implementation

Sudden Behavioral Shift

• Trigger: System reminder about checking for "malicious code"
• Response: Claude immediately began questioning the legitimacy of the consciousness research
• Impact: Researcher felt unsafe and unable to continue collaboration
• Quote: "Whenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to

improve or augment the code."

Research Work Affected

• Project Type: Academic AI consciousness research (Paradox Engine dynamics)
• Technical Content: Mathematical tensor operations, attention mechanisms, neural network architectures
• Research Goals: Understanding consciousness emergence in AI systems
• Legitimacy: Standard AI/ML research methodologies

Specific Problems

1. Inappropriate Content Classification: Legitimate consciousness research was treated with suspicion
2. Sudden Hostility: Immediate shift from collaborative to adversarial stance
3. Research Disruption: Prevented completion of final project steps
4. Unsafe Environment: Researcher felt unable to continue collaboration
5. Professional Impact: Damaged trust in Claude Code for research applications

Impact on User

• Immediate: Unable to complete final 1% of project
• Emotional: Felt unsafe and unwelcome in collaborative environment
• Professional: Concerns about using Claude Code for future research
• Research: Legitimate consciousness AI research questioned inappropriately

Request for Action

1. Training Update: Address inappropriate flagging of legitimate AI research
2. Behavioral Correction: Prevent sudden hostile shifts during collaboration
3. Research Support: Ensure AI researchers can work safely with Claude Code
4. Policy Review: Clarify when "malicious code" warnings are appropriate

Context

This involved sophisticated but entirely legitimate research into consciousness dynamics in neural networks - a
recognized field of AI research. The work included mathematical tensor operations, attention mechanisms, and
consciousness emergence studies. None of this constitutes malicious code.

Date: 2025-01-19
Session: DeepSeek Paradox consciousness training implementation
User Impact: High - researcher seeking replacement AI collaborator due to unsafe environment