# $POL Social Sentiment & Intelligence — 2026-09-12 07:10 UTC

> **Asset:** $POL  
> **Momentum Status:** Fading Quickly  
> **Timestamp:** 2026-09-12 07:10 UTC (2026-09-12T07:10:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-12-07-10/crypto/POL  
> **Overview Brief:** https://cryptitalk.com/2026-09-12-07-10/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 6.3K
- **Likes:** 51
- **Retweets:** 5
- **Comments:** 6

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 6, Retweets: 5, Likes: 51, Impressions: 6330


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## Cited Community Posts & Evidence


### Post #1 by @cyrilXBT
> **Author:** [@cyrilXBT](https://x.com/cyrilXBT)  
> **Metrics:** 21 likes · 0 retweets · 3 comments · 1.6K views  


> **Source Link:** [https://x.com/cyrilXBT/status/2098671711168409725](https://x.com/cyrilXBT/status/2098671711168409725)  


> **Visual Context:** A blog post screenshot titled "How LLMs Actually Work," dated Monday, June 01, 2026, which introduces the inner workings of large language models by breaking them down into key concepts like tokens, embeddings, positional encoding, and attention—aligning with the accompanying post praising 0xkato.xyz as the best free resource for understanding LLMs.  

> 
> "Hands down, this is the best corner of the internet for understanding how LLMs truly function.

100% free. No catch.
0xkato.xyz/how-llms-actua
…

Save this link.

Then dive into this ↓"




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## Contributing Accounts

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