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$XBT

Cooling Down

Snapshot Window: 2026-09-15 11:40 UTC · ← Back to Crypto Overview

Tracked Posts
1
Total Impressions
4.8K
Total Likes
65
Retweets & Quotes
7
Comments
10

Social Momentum Summary

Total Engagement - Comments: 10, Retweets: 7, Likes: 65, Impressions: 4811

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@rosetina_degen9

Three subnets show how Bittensor @opentensor compute is becoming usable infrastructure, not just an AI narrative. 1. @chutes_ai : sell inference as an API Chutes (SN64) is the network’s inference rail. Independent GPUs serve open-source models through OpenAI-compatible

The image is a pink-toned, anime-style promotional graphic for Bittensor featuring an illustrated character with a bucket hat and sunglasses working on a laptop, alongside cherry blossoms, a cat, and a robot. It highlights three subnets—Chutes (SN64), Lium (SN51), and Targon (SN6)—as usable AI infrastructure, with taglines like "REAL COMPUTE. REAL USE." and "Three Subnets, One Stack, Bigger Possibilities."

This visual directly supports the post by illustrating the three Bittensor subnets being referenced (Chutes, Lium, and Targon), framing them as practical AI infrastructure components within a cohesive "stack" rather than abstract concepts.

AI visual note: The image is a pink-toned, anime-style promotional graphic for Bittensor featuring an illustrated character with a bucket hat and sunglasses working on a laptop, alongside cherry blossoms, a cat, and a robot. It highlights three subnets—Chutes (SN64), Lium (SN51), and Targon (SN6)—as usable AI infrastructure, with taglines like "REAL COMPUTE. REAL USE." and "Three Subnets, One Stack, Bigger Possibilities." This visual directly supports the post by illustrating the three Bittensor subnets being referenced (Chutes, Lium, and Targon), framing them as practical AI infrastructure components within a cohesive "stack" rather than abstract concepts.

Contributing Voices for $XBT

@ika_xbt