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$PI

Stable

Snapshot Window: 2026-08-11 16:50 UTC · ← Back to Crypto Overview

Tracked Posts
2
Total Impressions
2.4K
Total Likes
55
Retweets & Quotes
1
Comments
0

Social Momentum Summary

Total Engagement - Comments: 0, Retweets: 1, Likes: 55, Impressions: 2400

Verbatim Community Citations & Social Evidence 2 source posts analyzed

@0xLaughing

上次刷新完额度才用了 20% 就又又又刷新了,浪费 Codex 额度的感觉很不爽 所以我让AI把 Tibo @thsottiaux 的重置和 Codex 自然重置做成了一个双时钟库存模型并回测,试图找出消耗 Codex 额度的最优策略 结论写在前面: ▷ 把每次Codex额度回到100%当作Day 0 ▷ 前4天按30%→60%→80%→90%使用 ▷

@CryptoMavka

Stop looking at price charts for a second and actually look at what’s being built. While 99% of the market is just chasing empty hype, the @bittensor ecosystem is silently hard-coding the future of AI. The velocity here is legitimately getting scary: • Score (SN44): Bringing

A bittensor model comparison table contrasting GLM 5.2 (Terminal Bench 2.1: 81.0, $1.25in/$3.95out per M tokens, 753B parameters, Hardware Attested TEE: YES) with Kimi K3 (Terminal Bench 2.1: 88.3, $3.00in/$15.00out per M tokens, 2.8T parameters, Hardware Attested TEE: YES).

AI visual note: A bittensor model comparison table contrasting GLM 5.2 (Terminal Bench 2.1: 81.0, $1.25in/$3.95out per M tokens, 753B parameters, Hardware Attested TEE: YES) with Kimi K3 (Terminal Bench 2.1: 88.3, $3.00in/$15.00out per M tokens, 2.8T parameters, Hardware Attested TEE: YES).

Contributing Voices for $PI

@PiNews360 @fanlujun2247