Mira ✓
@miranetwork · San Francisco · joined 29 Feb 2024
Building the Trust Layer for AI.
240 389Followers
4Following
5 590Posts total
2.5MViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@miranetwork Different failure modes are important when validating AI outputs.
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Model A: the claim is true
Model B: looks true to me
Model C: same here
Three matching answers can still be one shared blind spot.
Verification isn’t just adding more models. It’s designing independent checks that fail differently.
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Which AI mistake would you least want to discover after the action?
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“trust me bro” is not a verification method
especially when AI is helping manage money
banks are about to have dozens of agents built by different teams, using different models, prompts and thresholds.
the reliability problem won’t just be whether one agent is right.
it’ll be
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your AI agent after confidently trusting the wrong information https://t.co/LiN54z7b6p
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GIF
@miranetwork Good tech, idk why people are crying about airdrop rewards, broke ass behaviour.
With the current shift of meta rn, any projects that find a real solution to problems [decentralized verification for AI outputs with this] is obviously massive imo.
+ In a universe wh
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8/ This is the last post in this thread. https://t.co/NuAEndjXr1
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7/ Official Links
→ Register: https://t.co/75DRXm9a56
→ Claim: https://t.co/x1y0dH0Wqp
→ Stake: https://t.co/o98BKY6IWr
→ Explorer: https://t.co/OLTTrEZ8oI https://t.co/T2XC3trbsg
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6/ $MIRA powers every layer of the ecosystem.
→ Enables API access & dev tools
→ Lets consumers pay for subscriptions & premium features
→ Serves as the base pair for ecosystem tokens
→ Secures verification via staking
→ Governs protocol evolution through stakeholder votes https
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5/ Our ecosystem is already taking shape.
Compute, storage, model providers, prediction agents, infra partners, and consumer apps are uniting to build the trust layer at internet scale.
Dozens of integrations, and growing every week. https://t.co/yh0KyARPvm
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4/ Verifiability at internet scale.
→ 7M+ queries generated
→ 4.5M+ users across ecosystem apps
→ 3B+ tokens processed daily https://t.co/wh2Bas0NG4
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2/ Register, verify, and claim your tokens.
Full guide below.
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Mira Mainnet is Live.
The trust layer for AI has arrived. https://t.co/68CjTqgtIX
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1:35
เทียบกับบัญชีขนาดเดียวกัน
5 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน7 239บัญชีนี้6 000ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %3.01%บัญชีนี้1.62%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.28%บัญชีนี้0.98%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 7 239 | 6 000 | 1.21× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 3.01% | 1.62% | 1.86× |
| อัตราการมีส่วนร่วม | 0.28% | 0.98% | 0.29× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
1.1M26 Sep
58K
23.7K
17.5K
86.1K
23.6K
293.3K
67.5K
5.7K
7.2K31 Aug
7.3K2 Sep
6.4K3 Sep
8.3K6 Sep
171
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.36%26 Sep
0.18%
0.23%
0.36%
0.09%
0.20%
0.27%
0.27%
0.86%
0.40%31 Aug
0.41%2 Sep
0.28%3 Sep
0.28%6 Sep
0.00%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.
What the audience does
Likes63.7%5 841 in total
Reposts10.8%988 in total
Replies19.2%1 762 in total
Bookmarks6.2%572 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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