# $INDEX Social Sentiment & Intelligence — 2026-08-28 21:40 UTC

> **Asset:** $INDEX  
> **Momentum Status:** Trending Up  
> **Timestamp:** 2026-08-28 21:40 UTC (2026-08-28T21:40:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-08-28-21-40/crypto/INDEX  
> **Overview Brief:** https://cryptitalk.com/2026-08-28-21-40/crypto.md  

---

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

---


## Momentum & Sentiment Analysis
Total Engagement - Comments: 0, Retweets: 0, Likes: 0, Impressions: 1


---

## Cited Community Posts & Evidence


### Post #1 by @digg
> **Author:** [@digg](https://x.com/digg)  
> **Metrics:** 3 likes · 0 retweets · 2 comments · 1.5K views  


> **Source Link:** [https://x.com/digg/status/2093438224953991431](https://x.com/digg/status/2093438224953991431)  


> **Visual Context:** The image is an OpenRouter chart titled "Only the discounted models bent upward," showing that token volume spiked across multiple AI models, with heavily discounted ones like GPT-5.6 Terra and Luna seeing roughly 13.8x growth, illustrating how lower inference prices increased total compute demand rather than reducing it.  

> 
> "OpenRouter says heavy discounts on GPT-5.6 Terra and Luna sent token use up 13.8x.

OpenAI cofounder 
@gdb
 called it Jevons Paradox. Lower prices drove more workloads, so cheaper inference can raise total compute demand instead of cutting it."




---


## Contributing Accounts

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