Quar No

[4Dlabs @4Dlabs_Official]

🚀 4D Labs Season 1 is live.

🧭 Explore tasks.
📍 Check in at landmarks.
🤝 Bring your community.

Built around participation. Driven by contributors.

Enter S1 ↓
https://t.co/J1QpCOuAEh

#4DLabs #PhysicalAI #EmbodiedAI

[Quar No @Qurnoo]

Giwa ağının önemli projelerinden biri olan @AmmoraHQ da işlem yapmak için geç kalmayın.

https://t.co/rgIkMw8R9G

[Quar No @Qurnoo]

@0xekyerli @kalosfun Alışlarda hacimden sayılıyor mu

[Quar No @Qurnoo]

@Elminselimov5 @kalosfun Şuan aktif bir mint var hocam kaçırmayın

[Quar No @Qurnoo]

@kalosfun üzerinde yeni bir mint var. Kaçırmadan yapmanızı öneririm. Cüzdan başı 4 adet mint hakkı vermiş.

[FormFC @PlayFormFC]

Football trading is coming to Robinhood Chain ⚽

Beta waitlist is live now.

→ free packs for top testers
→ presale pack discount
→ referral codes first
→ first look at NFT Career mode 👀

Get in before kick-off 👇
https://t.co/Mo2HFyxFvB

[DI (Decentralized Intelligence) @Didotxyz_]

In DI Event Engine, we’ll bring AI assessments, evidence, and disagreements into one research report, so you can inspect why a conclusion holds and where it could break down.

You select the research perspectives. Each examines the same question independently, then challenges the evidence and assumptions behind other interpretations.

Supported differences remain visible, along with unresolved questions.

Consider a hypothetical company: revenue rises, but margins fall.

A growth perspective sees expanding demand. A profitability perspective asks whether discounts drove the additional sales.

Both could be right, yet point to different questions worth investigating.

The Event Engine report will show:

· The evidence behind each interpretation.
· The assumptions or time horizons driving the disagreement.
· What new information would strengthen or weaken each view.

When pricing, cost, or demand data changes, you’ll know which assumption to revisit.

We’re preserving disagreement so you get research you can check, question, and reassess.

[Quar No @Qurnoo]

@Didotxyz_ wen

[Digger @DiggerBit]

⛏️DIGGER BIT WHITELIST IS OPEN⛏️

We're kicking off our upcoming beta with $100K+ worth of ultra-rare in-game rewards

Every eligible digger gets a chance to get one of 300 Treasury Boxes with:
• Unique skins
• 5M of $DIG
• $20K Legendaries

Join here: https://t.co/XV5Bai7DUu

[Quar No @Qurnoo]

With FHE, confidential computation becomes possible on encrypted data.

The bigger picture? Onchain finance where privacy and verifiability can coexist.

This is the infrastructure worth watching as Web3 moves toward real-world adoption.

[Quar No @Qurnoo]

@atlas16022015 @kalosfun Daha çok puan kazanmak için ne yapmak lazım hocam

[Primus Labs @primus_labs]

Introducing Primus Confidential Finance (https://t.co/E7HDEdlMjv), where privacy meets transfer and yield on-chain.

We're excited to announce a collaboration between Primus @primus_labs, Unitas @UnitasLabs, and United Stables @UTechStables to launch a Confidential Finance Product on @BNBCHAIN, powered by the Fully Homomorphic Encryption (FHE) technique.

This isn't just another confidential transfer or on-chain vault. It's a new standard for how private, compliant, and capital-efficient on-chain finance can work. 🧵

[Quar No @Qurnoo]

@uykusuztrader İsteyen varsa nomine ederim

[Quar No @Qurnoo]

@Elminselimov5 En çok puan nasıl kazanılıyor

[Baekho @BaekhoGiwa]

Introducing BAEKHO Launchpad 🐯

Built on GIWA.
Powered by the @AmmoraHQ SDK.

BAEKHO is a launchpad built for the GIWA ecosystem, making it easier to launch, discover, and trade new tokens.

With the ambition to become the largest launchpad on GIWA, BAEKHO combines Ammora’s infrastructure with an intuitive user experience.

1. Built with Ammora
Powered by the Ammora SDK, BAEKHO brings token launch, liquidity, and trading infrastructure together to support new projects on GIWA.

2. Connected Trading
Integration with Ammora’s trading infrastructure enables broader trading access through services connected to Ammora.

3. 70% Buyback Mechanism
BAEKHO features a 70% buyback mechanism, designed to connect platform growth with the $BAEKHO token ecosystem.

4. Simple, Intuitive UI
A friendly design and straightforward interface make exploring tokens and trading easy.

5. Developed with GASOK Support
Following discussions with Ammora, BAEKHO was built with support from GASOK.

It aims to connect new projects and communities while growing alongside the GIWA ecosystem.

Ammora’s infrastructure. BAEKHO’s vision.
A new chapter for GIWA.

Join the BAEKHO channel for the latest updates on the launchpad and $BAEKHO. 🐯

[Quar No @Qurnoo]

@Didotxyz_ Lets go

[DI (Decentralized Intelligence) @Didotxyz_]

Tesla reports earnings after the US market closes on October 21.

One earnings release. Multiple interpretations.

Profitability, macro conditions, market sentiment, and risk can all lead to different conclusions.

The question isn’t just what Tesla reports. It’s what those numbers could change.

This is the kind of research DI Event Engine is designed to support.

Start with a question:

“Which parts of the market’s view of Tesla could this report change?”

DI Event Engine structures the event and coordinates selected AI research perspectives.

Each perspective independently examines the question, challenges other interpretations, and connects its findings to supporting evidence.

The intended output goes beyond a summary:

• Evidence-linked judgments — distinguishing verified facts, inferences, and unverified claims.

• Multiple AI perspectives — highlighting where different analyses agree, disagree, or require further evidence.

• Conditional scenarios — exploring potential market implications and the assumptions that could invalidate each assessment.

• Traceable research process — preserving the evidence and reasoning so the analysis can be reviewed as new information emerges.

One event. Multiple perspectives. One reviewable research process.

We’re building DI Event Engine to make intelligence more transparent, structured, and actionable.

Not just what the conclusion is, but how it was reached, where it is challenged, and what evidence could change it.

Explore the architecture:
https://t.co/MIwRDOBSkg

[Quar No @Qurnoo]

@oshilabs look

[Quar No @Qurnoo]

@Elminselimov5 @jesusislord Helal olsun

[Quar No @Qurnoo]

@cloverdotfamily Joined