# $KNTQ Social Sentiment & Intelligence — 2026-10-01 05:20 UTC

> **Asset:** $KNTQ  
> **Momentum Status:** Fading Quickly  
> **Timestamp:** 2026-10-01 05:20 UTC (2026-10-01T05:20:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-10-01-05-20/crypto/KNTQ  
> **Overview Brief:** https://cryptitalk.com/2026-10-01-05-20/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 202
- **Likes:** 0
- **Retweets:** 0
- **Comments:** 0

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 0, Retweets: 0, Likes: 0, Impressions: 202


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## Cited Community Posts & Evidence


### Post #1 by @Md_Lokman_71
> **Author:** [@Md_Lokman_71](https://x.com/Md_Lokman_71)  
> **Metrics:** 8 likes · 2 retweets · 7 comments · 39 views  


> **Source Link:** [https://x.com/Md_Lokman_71/status/2105524008028659744](https://x.com/Md_Lokman_71/status/2105524008028659744)  


> 
> "Why Embodied AI Lags Behind Text Models (and How 
@axisrobotics
 Solves It)

Embodied AI lags behind LLMs for one core reason: you can't teach physical intelligence using passive pixels.

Millions of video hours lack ground-truth physics, no joint torques, contact dynamics, or 6"




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## Contributing Accounts

- `@DiarioBitcoin` (https://x.com/DiarioBitcoin)