拖延症患者斌哥

来了币圈就是币圈家人，口头禅：家人们。

[Cristiano Ronaldo @Cristiano]

Another step forward. Together as one, focused on what we want. Thank you to the fans for always being with us. 🟡🔵

[Elon Musk @elonmusk]

Starship

[拖延症患者斌哥 @bin8790]

@ZoomManor Well done

[芬达 @0x_Fenda]

致@krakenfx @krakensupport @arjunsethi：
我写信是为我的朋友@chenfu1985 上个月11 月 4 日，他不小心将 9697 美元的 USDT 从币安 BEP20 网络转到了 Kraken。
他看到 Kraken 支持 BNB 存款，便以为 BEP20 网络也会接受 USDT。不幸的是，资金始终没有到账。
这笔钱是他所有的积蓄——两年辛苦挣来的工资。由于这个错误，他深感痛苦，还面临着家庭的压力。
他已经：
1. 联系了客服。2. 在 Kraken 开了一个工单（#19295531）。3. 尝试了各种求助渠道，但问题仍未解决。
我们抱着最后一丝希望联系您。能否请您方的技术团队调查并协助追回这些资金？我们将不胜感激。
调查关键细节：
· Kraken 账户 ID：AA31 N84G OPCN GAQA
· 支持工单：#19295531
· 交易哈希：0x46e5b3de86969c6463f1e446f719d7609f521c225b45af91998d29a40d3432a4
· 充值地址：0x4A4504B309Ed943b939149b85385D7d5b20ae80
#Kraken 支持 #CryptoHelp #USDT
请帮忙。

To @krakenfx @krakensupport @arjunsethi,
I’m writing for my friend @chenfu1985 On November 4th, he accidentally transferred 9,697 USDT from the Binance BEP20 network to Kraken.

He saw Kraken supports BNB deposits and assumed the BEP20 network would also accept USDT. Unfortunately, the funds never arrived.

This amount represents all his savings—two years of hard-earned salary. He is deeply distressed and facing family pressure due to this mistake.

He has already:

1. Contacted customer support.
2. Opened a ticket with Kraken (#19295531).
3. Tried various channels for help, but it remains unresolved.

We are reaching out to you as a last hope. Could your technical team please investigate and assist in recovering these funds? We would be immensely grateful.

Key Details for Investigation:

· Kraken Account ID: AA31 N84G OPCN GAQA
· Support Ticket: #19295531
· Transaction Hash: 0x46e5b3de86969c6463f1e446f719d7609f521c225b45af91998d29a40d3432a4
· Deposit Address: 0x4A4504B309Ed943b939149b85385D7d5b20ae800

#KrakenSupport #CryptoHelp #USDT

Please help.

[拖延症患者斌哥 @bin8790]

I just submitted my response to a DeForm!

https://t.co/mAd4VVPtM1

[拖延症患者斌哥 @bin8790]

I’ve got my Incentiv Chip, and it’s more than a flex.

It’s a symbol for the countdown, which is active, and proof that something bigger is on the horizon.

Generate yours now → https://t.co/v6AWQZOgMm

[River @RiverdotInc]

Dynamic Airdrop Conversion = time-encoded tokenomics

Airdrops used to end when you claimed
Ours just began

Convert River Pts to $RIVER anytime
No deadlines. No fixed unlocks

Every choice shapes how value flows

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

@Astra__Nova $RVV

[拖延症患者斌哥 @bin8790]

Verifying my Twitter account for my #GalxeID gid:YxHartmaqmM6JEPXM95dAL @Galxe

[Sentient @SentientAGI]

2/ Products of the GRID

Recursive Open Meta Agent (ROMA): Multi-agent framework that breaks down complex queries into smaller, more achievable tasks. The first use-case (deep research) outperforms all existing deep research model platforms and is open for builders to fork/improve.

Open Deep Search (ODS): Open-source search framework that splits reasoning, search, and calculation tasks, achieving SOTA performance on standard search benchmarks.

Dobby: Open-source model that was one of the first models to prioritize human-like values (tone, loyalty/core beliefs, etc.) and built through 2M+ community members’ feedback.

Fingerprinting: Training library/method that protects a model’s identity, ensuring that open-source developers can verifiably prove their model ownership even if the model weights are fully revealed.

Sentient Chat: AI platform that coordinates intelligence within the GRID, providing a UI interface to the world's largest network of intelligence.

[拖延症患者斌哥 @bin8790]

#SentientAGI #SENT https://t.co/U5seBr68uR

[Sentient @SentientAGI]

2/ Products of the GRID

Recursive Open Meta Agent (ROMA): Multi-agent framework that breaks down complex queries into smaller, more achievable tasks. The first use-case (deep research) outperforms all existing deep research model platforms and is open for builders to fork/improve.

Open Deep Search (ODS): Open-source search framework that splits reasoning, search, and calculation tasks, achieving SOTA performance on standard search benchmarks.

Dobby: Open-source model that was one of the first models to prioritize human-like values (tone, loyalty/core beliefs, etc.) and built through 2M+ community members’ feedback.

Fingerprinting: Training library/method that protects a model’s identity, ensuring that open-source developers can verifiably prove their model ownership even if the model weights are fully revealed.

Sentient Chat: AI platform that coordinates intelligence within the GRID, providing a UI interface to the world's largest network of intelligence.