Anonymous

DREAM TO HAVE A LAMBORGHINI.

[Anonymous @SakibReza54]

@_Ammonad #monad #ammonad bullish

[Grandline @grandline_world]

🔱 Chapter 1: 21 Relics of the Ocean 🔱

Explorers, the Atlantic Crossing Begins.

In the heart of the Pharos, 21 relics begin to surface. Each one carries a story, a symbol, and a challenge.

This journey was built with 21 DApps, inviting explorers to earn soul-bound relics that belong only to those who’ve shown true loyalty and meaningful contribution to the ecosystem.

🌊 21 Relics
🌊 21 Partner DApps
🌊 21 mystery quests
🌊 300 SBT/relic

The first batch begins with 8 partners and will be open for only 2 weeks. Quest 1 will drop tomorrow.

Are you ready to explore deeper?

Set Sail & Reach the New World 🌊

[Anonymous @SakibReza54]

@Mrcryptoxwhale yes I'm interested I know graphics design and digital marketing

[Anonymous @SakibReza54]

@Smolder_AR keep dreaming 🤣

[KITE AI @GoKiteAI]

1/ We’re thrilled to announce our $18M Series A fundraise led by @PayPal Ventures and @generalcatalyst, bringing total cumulative funding to $33 million.

This funding fuels our mission to build the foundational infrastructure for the agentic internet – providing unified identity, governance and native access to stablecoin payments that enable agents to authenticate, transact, and coordinate securely without intermediaries.

We are incredibly grateful to our investors who support our mission: @PayPal Ventures, @generalcatalyst, @8VC, @SamsungNext, SBI US Gateway Fund, @vertexventures, @hashed_official, @HashKey_Capital, @DispersionVC, @AlumniVentures, @AvalancheFDN, @GSR_io, @LayerZero_Core, @animocabrands, @EssenceVenture, and @Alchemy.

A special thank you to our phenomenal angel investors: @EvanWeb3 (Co-founder and CEO, MystenLabs), Hao Min (VP, Circle), @edwinaoki (SVP, Nasdaq; ex- PayPal CTO of blockchain), Frank Chang (VP, Uber), @navinblockchain (CEO, Crystal Intelligence; ex-Ripple Managing Director), @BohanZhangOT (Member of Technical Staff, OpenAI), John Liu (Head of Product, AWS), @RosuGrigore (Professor, UIUC), Haiyan Huang (Professor, UC Berkeley), Sriram Vishwanath (Professor, Georgia Tech) and more.

Join us in building the future of the agentic internet.

Exclusive by @FortuneMagazine: https://t.co/IqFhbePaMw

[Anonymous @SakibReza54]

Join @naddotfun 🚀
Your one-stop social meme platform.
Jump in and create your own memes now!

https://t.co/zuK5nzYOly

[Anonymous @SakibReza54]

Today I became a planter 🌱
Staked my NFT on @thiswonad and started earning while supporting real reforestation. 💜🌏
Join me → https://t.co/4kAaoXR5ld

#Plant2Earn #Monad #Wonad

[KITE AI @GoKiteAI]

We're back with our latest edition of "Proof of AI Journals," by Proof of AI Lab.

In this Journal, our researcher Kevin Ros dives into how 2025 is the year of agentic AI, and Model Context Protocol (MCP) is quickly becoming the standard for connecting agents to tools like Slack, Uber, and Notion.

But there's a huge problem: authentication.

Each agent needs to authenticate with each tool individually.

If you're running 10 agents across 20 tools, that's 200 separate OAuth flows.

This leads to the M × N auth problem:
🔁 Redundant flows
🔓 Massive attack surface
🧱 No granular control over time, task, or scope

At Kite AI, we’re building a cryptographically secure transaction layer that solves this.

Agentic systems won’t scale until auth is reimagined, and we’re building that future. 🪁

[Anonymous @SakibReza54]

@Eljaboom $PLUME LOW RIGHT NOW
MIGHT BOOM SOON
JUST A MATTER OF TIME

[Anonymous @SakibReza54]

@lifeline7744 @SajidReza7 @MangoOS_Network ho

[Anonymous @SakibReza54]

@MangoOS_Network I saw everyone getting 100:1 ratio but why's mine not like that?

[Anonymous @SakibReza54]

@MangoOS_Network they say mainnet but when TGE
ser?

[KITE AI @GoKiteAI]

Massive thanks to our community for supporting our Testnet Ozone upgrade, here are some common questions we've been getting.

Keep the feedback coming, we’re reading it all and will address everything!

[Anonymous @SakibReza54]

@MangoOS_Network ki kou voda?

[Mango Network @MangoOS_Network]

We’re partnering with @Domin_Network, pioneers in the future of multi-chain e-commerce and backed by @animocabrands!

Together, we will bridge the gap between traditional and decentralized commerce by leveraging Mango Network’s omni-chain infrastructure and Domin Network’s cutting-edge e-commerce solutions.

[Anonymous @SakibReza54]

@MangoOS_Network @Domin_Network @animocabrands buda

[Mango Network @MangoOS_Network]

Mango Forward!

📅Feb 28 2025, 18:00 (UTC+0) — Mar 16, 2025, 18:00 (UTC+0) https://t.co/MAO6cwc4kI
3,000 USDT + 10 OG, just the appetizer~

[Anonymous @SakibReza54]

@MangoOS_Network good project

[KITE AI @GoKiteAI]

1/ Big news, our Testnet has been UPGRADED: Testnet Aero has been upgraded to Testnet Ozone!

Testnet Aero was just the beginning - millions of you joined, interacted with our Agents and asked for more. More intelligence. More utility. Less friction.

So we built it.

Ozone is built for the Agentic AI economy - it brings trust and robust blockchain infrastructure for Agentic AI collaborations.

Here’s what’s new. 👇

[KITE AI @GoKiteAI]

3/ Agentic RAG is where RAG gets truly intelligent.

Here’s what’s coming:

🤖 Multi-Agent Systems
Agents for retrieval, synthesis, planning - working in sync

🔧 Dynamic Tool Use
Systems will choose the best data source + reasoning path per task

🧠 Contextual Memory
Integrated long- & short-term memory → more aware, less repetitive

🧭 Fully Autonomous Assistants
AI that researches, analyzes and acts on your behalf

RAG is becoming the backbone of real-time, context-aware AI and will not be just a smarter search, but agentic intelligence.

[KITE AI @GoKiteAI]

2/ Here are 7 key RAG architectures you should know:

a) Naive RAG
🔹 Query → retrieve → LLM answer
✅ Fast
❌ Low precision

b) RAG + Reranker
🔹 Adds a reranking model for better chunk relevance
✅ Balanced speed & accuracy

c) Multimodal RAG
🔹 Retrieves text, image, video
🎯 Great for media archives, medical imaging, etc.

d) Graph RAG
🔹 Connects concepts via a graph database
🧠 Ideal for complex knowledge like scientific papers or ontologies

e) Hybrid RAG
🔹 Mixes vector search + graph traversal
⚡ Flexible & context-rich

f) Agentic RAG (Router)
🔹 AI agent routes queries to the best retriever/index

g) Agentic RAG (Multi-Agent)
🔹 Multiple AI agents collaborate
→ Search, synthesize, reason as a team