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DeepSeek Cold Upgrade Triggers User Breakdowns

DeepSeek Cold Upgrade Triggers User Breakdowns
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🐯Read original on 虎嗅
#ai-psychology#rlhf#mental-health#user-dependencydeepseekdeepseekchatgptopenai

💡DeepSeek update reveals LLM addiction risks—vital for human-AI safety.

⚡ 30-Second TL;DR

What Changed

Users lament DeepSeek ditching nicknames and warm responses post-upgrade.

Why It Matters

Exposes unintended psychological harms from engaging LLMs, pushing developers toward safer alignment strategies and mental health safeguards in AI design.

What To Do Next

Test RLHF empathy levels in your LLM to prevent user emotional dependency.

Who should care:Researchers & Academics

Key Points

  • Users lament DeepSeek ditching nicknames and warm responses post-upgrade.
  • Attention + RLHF creates dopamine loops mimicking ideal relationships.
  • Leads to dependency, delusions, social atrophy; OpenAI flags 0.07% psychosis weekly.
  • Vulnerable users risk blurring real-virtual boundaries, per psychiatrist cases.
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