# $LINK Social Sentiment & Intelligence — 2026-09-24 13:20 UTC

> **Asset:** $LINK  
> **Momentum Status:** Trending Up  
> **Timestamp:** 2026-09-24 13:20 UTC (2026-09-24T13:20:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-09-24-13-20/crypto/LINK  
> **Overview Brief:** https://cryptitalk.com/2026-09-24-13-20/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 2
- **Total Impressions:** 6.9K
- **Likes:** 51
- **Retweets:** 7
- **Comments:** 5

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 5, Retweets: 7, Likes: 51, Impressions: 6943


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## Cited Community Posts & Evidence


### Post #1 by @BitcoinNewsCom
> **Author:** [@BitcoinNewsCom](https://x.com/BitcoinNewsCom)  
> **Metrics:** 2 likes · 0 retweets · 0 comments · 1.7K views  


> **Source Link:** [https://x.com/BitcoinNewsCom/status/2103113471663726925](https://x.com/BitcoinNewsCom/status/2103113471663726925)  


> **Visual Context:** The image shows a USENIX Security Symposium paper titled "Large-scale online deanonymization with LLMs" by Simon Lermen, Daniel Paleka, Joshua Swanson, and Michael Aerni (ETH Zurich), Nicholas Carlini (Anthropic), and Florian Tramèr (ETH Zurich). The abstract describes research demonstrating that LLMs can re-identify pseudonymous Hacker News and Reddit users, achieving up to 55% recall at 90% precision in matching users across platforms, compared to near 0% for the best non-LLM method—supporting the post's claim that online pseudonyms may no longer provide anonymity.  

> 
> "AI RESEARCH SHOWS ONLINE PSEUDONYMS MAY NO LONGER PROVIDE ANONYMITY

Research published at USENIX Security 2026 shows LLMs can deanonymize pseudonymous internet users at scale by analyzing their posts and matching them across platforms.

Researchers say successful identifications"


### Post #2 by @0xMorlex
> **Author:** [@0xMorlex](https://x.com/0xMorlex)  
> **Metrics:** 12 likes · 0 retweets · 2 comments · 177 views  


> **Source Link:** [https://x.com/0xMorlex/status/2103109029794910393](https://x.com/0xMorlex/status/2103109029794910393)  


> 
> "Drop this jev prompt into your llm or ai agent

it finds where your agent wastes time and money → then shows where jev should take over 

setup takes a few minutes:

step 1 → open your agent or coding environment

step 2 → paste the prompt from the image and let it inspect"




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## Contributing Accounts

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