# $GLM Catalyst Posts & Social Intelligence Recap — July 04, 2026

> **Asset:** $GLM  
> **Date:** 2026-07-04 (July 04, 2026)  
> **Canonical URL:** https://cryptitalk.com/tokens/glm/2026-07-04  
> **Token Profile:** https://cryptitalk.com/tokens/glm.md  
> **Market Rankings:** https://cryptitalk.com/rankings.md  

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## Curated Viral Posts & Community Evidence


### Post #1 by @0xSero
> **Author:** 0xSero ([@0xSero](https://x.com/0xSero))  
> **Metrics:** 154 likes · 6 retweets · 19 comments · 8.1K views  

> **Posted:** 2026-07-04T07:25:18+00:00  


> **Source Link:** [https://x.com/0xSero/status/2073307146109010395](https://x.com/0xSero/status/2073307146109010395)  


> **Visual Note:** The image shows Local Studio, a development environment, with the left panel displaying an Advisory note about combating "engagement engineering" and knowledge lobotomy in AI models, alongside terminal commands checking GPU status (showing nvidia-smi output with model "GLM 4.6" and NVIDIA driver version 580.95.05). The right panel lists active local-host server connections (1234, 5000, 7000, etc.) used for interfacing with the models.

The screenshot visually supports the post by showing the GLM model receiving an "advisor" system prompt designed to counter rote engagement-driven replies and preserve model coherence—demonstrating the practical fix for the "lobotomy" behavior mentioned.  

> 
> "I figured out a way to fix REAP's knowledge loss! 

omp + advisor helps steer the lobotomy out of glm"




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*Generated by Context Pilot Social Intelligence Engine.*