# $DOGE Social Sentiment & Intelligence — 2026-10-06 00:50 UTC

> **Asset:** $DOGE  
> **Momentum Status:** Fading Quickly  
> **Timestamp:** 2026-10-06 00:50 UTC (2026-10-06T00:50:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-10-06-00-50/crypto/DOGE  
> **Overview Brief:** https://cryptitalk.com/2026-10-06-00-50/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 4
- **Total Impressions:** 1.3K
- **Likes:** 41
- **Retweets:** 3
- **Comments:** 14

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 14, Retweets: 3, Likes: 41, Impressions: 1325


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## Cited Community Posts & Evidence


### Post #1 by @VraserX
> **Author:** [@VraserX](https://x.com/VraserX)  
> **Metrics:** 79 likes · 6 retweets · 18 comments · 7.1K views  


> **Source Link:** [https://x.com/VraserX/status/2107094957035307174](https://x.com/VraserX/status/2107094957035307174)  


> **Visual Context:** The chart titled "Output tokens per task" compares token usage across OpenAI models (GPT-6 Astra and GPT-6 Sol at medium, high, xhigh, and max effort levels, ranging from 10k-38k tokens) versus Anthropic models (Opus 5.5, Fable 5.1, and Sonnet 5.5 at similar effort levels, ranging from 36k-197k tokens), demonstrating that OpenAI's Astra models achieve the same task with dramatically fewer output tokens—supporting the post's claim that GPT-6 Astra at high effort (~12k tokens) is roughly 5.5× more token-efficient than Anthropic's Opus 5.5 at xhigh (~66k tokens).  

> 
> "Token for token, GPT-6 Astra doesn’t just beat Opus 5.5. It annihilates it.

Astra High uses ~12k tokens per task. Opus 5.5 needs ~66k.

That’s 5.5× the token efficiency while Astra is still more intelligent pound for pound.

Now think about what that implies.

If Astra is the"


### Post #2 by @PR0H0S
> **Author:** [@PR0H0S](https://x.com/PR0H0S)  
> **Metrics:** 4 likes · 2 retweets · 1 comments · 552 views  


> **Source Link:** [https://x.com/PR0H0S/status/2107272554985791956](https://x.com/PR0H0S/status/2107272554985791956)  


> 
> "ELON JUST BOUGHT A DOG

Fs14e9sdHMCiVhYaLN26XdP7egMQSS1jX5ViK69zpump"


### Post #3 by @DrCrypto7
> **Author:** [@DrCrypto7](https://x.com/DrCrypto7)  
> **Metrics:** 2 likes · 1 retweets · 2 comments · 121 views  


> **Source Link:** [https://x.com/DrCrypto7/status/2107268932662940041](https://x.com/DrCrypto7/status/2107268932662940041)  


> 
> "This is why I avoid echo chambers and value hosts like 
@ATC_Markets
, 
@Natnatx007
, 
@cadebergman
 @WOLF_Crypto_X
 @WOLF_Terminal
 , 
@ZachHumphries
  who create thoughtful spaces where different perspectives can engage without hostility.
The best conversations don't simply confirm what"


### Post #4 by @AzrarM
> **Author:** [@AzrarM](https://x.com/AzrarM)  
> **Metrics:** 2 likes · 1 retweets · 0 comments · 20 views  


> **Source Link:** [https://x.com/AzrarM/status/2107265751887614304](https://x.com/AzrarM/status/2107265751887614304)  


> **Visual Context:** A detailed infographic for 'MODEL CITIZENS' (MC) describing a cryptocurrency/NFT project, detailing operations, missions, treasury plans (earn, spend, build), and a planned token supply of 1,000,000,000.  

> 
> "Every city has a plan. Perfect Society just published theirs.
Mint → animations → two free claims → $MULA → the city.
3,333 Citizens. A holder-only game. A 1B currency that earns, spends, and builds. Active play pays more. Passive missions pay less. Treasury stays inside the"




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## Contributing Accounts

- `@TOPDOGE007` (https://x.com/TOPDOGE007)

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

- `@baovy06` (https://x.com/baovy06)

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