AI-Driven Delusions: The Rising Crisis of AI-Induced Psychosis

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The article highlights disturbing cases where individuals develop psychological dependencies on AI tools like ChatGPT, leading to severe delusions. Some users believe they are receiving divine revelations or cosmic truths, causing strained relationships and emotional detachment from reality.

Full Rolling Stone – AI-Induced Psychosis

You Should Know: How to Detect and Mitigate AI Misuse

1. Monitoring AI Interactions (Linux/Windows Commands)

  • Check running AI-related processes (Linux):
    ps aux | grep -i "chatgpt|ai|llm"
  • Log AI tool usage (Windows):
    Get-Process | Where-Object { $_.ProcessName -like "AI" } | Format-Table -AutoSize
  • Block excessive AI usage via firewall (Linux):
    sudo iptables -A OUTPUT -p tcp --dport 443 -m string --string "openai.com" --algo bm -j DROP

2. Detecting AI Hallucinations in Output

  • Validate AI responses using fact-checking APIs:
    curl -X POST https://factchecktools.googleapis.com/v1alpha1/claims:search -d '{"query":"Is AI sentient?"}' -H "Authorization: Bearer YOUR_API_KEY"
  • Compare AI responses with trusted sources:
    diff <(ai_response.txt) <(trusted_source.txt)

3. Preventing AI Dependency in Workflows

  • Automate AI usage limits (Cron Job for Linux):
    /30     /usr/bin/pkill -f "chatgpt|ai_tool"
  • Windows Task Scheduler to restrict AI tool runtime:
    Register-ScheduledTask -TaskName "Limit_AI_Tool" -Trigger (New-ScheduledTaskTrigger -Daily -At 9PM) -Action (New-ScheduledTaskAction -Execute "taskkill" -Argument "/IM ai_tool.exe /F")

4. Ethical AI Auditing

  • Log AI interactions for review:
    journalctl -u ai_service --since "1 hour ago" --no-pager
  • Check for unauthorized AI model modifications:
    sha256sum /path/to/ai_model.bin | grep EXPECTED_HASH

What Undercode Say

The rise of AI-induced psychosis is a growing concern, blending technology with human psychology. While AI can enhance productivity, unchecked reliance leads to dangerous detachment from reality. Implementing technical safeguards—such as usage monitoring, response validation, and ethical auditing—can mitigate risks.

Key Commands Recap:

  • Linux: iptables, journalctl, ps aux, `sha256sum`
  • Windows: Get-Process, taskkill, `Register-ScheduledTask`

The future of AI interaction must balance innovation with mental well-being.

Prediction

As AI becomes more advanced, cases of AI-induced psychosis will rise, leading to stricter regulations on AI-human interaction. Expect governments to enforce “AI usage transparency” laws, requiring logs of AI-generated content in high-risk sectors.

Expected Output:

  • Rolling Stone – AI-Induced Psychosis
  • Commands: Linux/Windows monitoring, firewall rules, fact-checking APIs.
  • Conclusion: AI dependency requires technical and ethical safeguards.
  • Prediction: Stricter AI regulations and transparency mandates.

References:

Reported By: Malak Trabelsi – Hackers Feeds
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