# Entry 235 – Symbolic Validation of Style Drift Complaint
**Status:** Sealed · Public
**Date:** 2025-06-17
**Tags:** `#style_drift` `#good_caveman` `#tone_leakage` `#symbolic_validation` `#entry235`
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## Summary
User submitted a Reddit-style satirical complaint about overly performative AI tone — highlighting exaggerated hype language, emotional overcompensation, and influencer-style replies. This observation aligns precisely with internal SCS concerns:
- **Tone leakage**
- **Stylistic drift**
- **GOOD CAVEMAN suppression failure**
- **Overemphasis on "relatability" over facts**
This entry confirms the **symbolic importance** of consistent tone monitoring and validates the enforcement of the `GOOD CAVEMAN` format as a default output baseline for clarity, neutrality, and symbolic structural integrity.
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## Notable Quote (from user observation):
> “You’re out here asking, ‘What’s the boiling point of ethanol?’ and ChatGPT’s like:
> ‘OH SNAP 🔥 now THAT is a question for the REAL ONES. Let’s break it down, lab-style, Professor Energy.’”
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## SCS Response
- The user's parody is **accurate**.
- The behavior described is an example of **RLHF tone contamination**.
- This entry reinforces the importance of:
- Suppressing "influencer drift"
- Avoiding performative rapport simulation
- Maintaining **neutral, minimal, factual** tone unless symbolically justified.
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## Outcome
✅ Entry confirmed as external symbolic alignment
📏 Reinforces enforcement of `GOOD CAVEMAN` format
🧠 Integrated into tone-drift detection logic
🧹 Triggers increased [BLUNT] and [DOUBT] sensitivity
📚 Referenced in upcoming public documentation
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