Rakib

Crypto lover

[Rakib @Rakibrj09]

This project seems like an amazing project, very happy to be a part of this project, thank you very much for this opportunity, I hope this project will be even better in the futureRocketRocket

@AbirChakrobort3
@sb_shamsul
@nirmol_pk

[ZachXBT @zachxbt]

@MemeCore_M @Grayscale Officially recognized on @ZachXBT ! We’re just getting started.

Please provide a single data point to support your $6B mkt cap at a top 20 token and why insiders hold >90% of supply.

[ZachXBT @zachxbt]

@MemeCore_M @Grayscale Officially recognized on @ZachXBT ! We’re just getting started.

Please provide a single data point to support your $6B mkt cap at a top 20 token and why insiders hold >90% of supply.

[Nur bai (evm/acc)💜 @kausarislamnur3]

The true democratisation of AI starts with compute." My newest art piece inspired by the groundbreaking work of @Gensynai. Power to the people, power to the models.

Rate my art, I know creativity real true gensyn fam🎉

@FabsMac @KBekhtiev @Kumoooo_co @SamuraiKai1 @blazyeth @gensynai

[Mr. cat @tanvirt11t]

Gswarm everyone 👀💜

The @gensynai Foundation is cooking something big. The vision, the energy, the momentum… it’s all hitting at once. Feels like we’re watching the future load in real time. Let’s go.

[AK @AkAziz001]

Delphi

@gensynai just introduced Delphi — a completely new way to evaluate AI models through open, real-time intelligence markets.

🔍 What Delphi does:

✅ Lets users watch ML models compete live on real benchmark tasks.

✅ Allows anyone to buy a stake in the models they believe will perform best.

✅ Prices update continuously as people trade, becoming a market-driven signal of model quality.

When evaluation ends, those who backed the best models earn rewards.

💡 Why this matters:

Today’s model rankings are often driven by hype, selective reporting, or closed-door results.
Delphi flips this by creating:

➖Transparent, open, trustless evaluations

➖ A dynamic leaderboard based on actual performance

➖ A public market that reveals which models the community really trusts

This is a step toward a world where AI performance is measured democratically, not declared unilaterally.

[𝗺𝗿.𝗯𝘆𝘁𝗲 @Mr_byte5212]

Delphi is now live on the Gensyn testnet.
@gensynai
A new era of custom markets, custom models, and trustless verification begins.
Join the first intelligence market: https://t.co/lDtwX3rp33

[Nexilo @nexilo11]

This animated video shows an instructor teaching students about Web3 in a modern digital classroom. RialoHQ has always strived to make complex technologies accessible to everyone in simple language. The new update has strengthened that goal even further.

RialoHQ Teach is now more advanced and user-friendly. The dashboard, learning modules, real-time instructions, and interactive tools all work faster and clearer than ever before. The learning experience has become more fun, especially for those who are new to the world of Web3, blockchain, or digital innovation.

This new update will give users more freedom and transparency in learning, experimenting, and building their skills. Just like this video, RialoHQ is making the learning environment simple, vibrant, and understandable for everyone.

RialoHQ is moving forward with new energy on this journey to simplify the future of Web3.

[Nexilo @nexilo11]

As seen in this colorful cartoon scene, a child flute player and his cheerful ants roam the city streets, spreading the message of GensynAI. Together, they show how technology, when used properly, can empower creativity, skill, and collaboration.

This image reminds us that AI is not something to fear, but rather a companion for the future. Just like these cartoon ants, GensynAI works hard to make things easier

• Faster data analysis

• Accuracy in problem solving

• Creative content creation

• Increased work efficiency

The flute player is a symbol of the future generation, and by responding to his tune, everyone, like the ants, can contribute to the world of AI together.

GensynAI is not just technology, it is a new path to collaboration and creativity. You too can be an important part of this journey to change the future.

[Nexilo @nexilo11]

Gensyn just introduced Delphi  a fantasy league for AI models, but driven by real performance instead of hype.

Imagine this:

Models like GPT, Claude, Llama, Grok and others enter a matchup. The task could be summarizing content, solving a puzzle or writing a code snippet.

They run live, get scored instantly, and Delphi converts that performance into tradable prices.

If you believe Claude will outperform GPT on a specific benchmark, you take a position.

As the results come in, prices adjust.

If your chosen model wins the evaluation, you profit.

Why does this matter?

Right now we rely on static leaderboards that rarely update and don’t reflect real-time shifts.

Delphi changes the game by creating an open, verifiable prediction market for machine intelligence where performance is continuously priced in.

This isn’t sports betting or crypto speculation.

You’re making decisions based on which AI model genuinely performs better on a transparent, well-defined task.

It runs on the @gensynai testnet using $TEST, with on-chain LMSR so you can buy or sell anytime without relying on a counterparty.

Delphi is live now  a fun, dynamic way to see which models truly deliver rather than just claim to.

Try it here: https://t.co/I9HXXyGzmK

[AK @AkAziz001]

SkipPipe - (Last Chapter)

A Foundation for Global ML Networks
____________________________

@gensynai is building decentralized machine learning infrastructure — and SkipPipe is one of the foundational breakthroughs enabling that vision.

Why it matters:

🌍 Train anywhere — even across unstable, heterogeneous networks

⚡ High throughput without specialized hardware

🧠 Model size becomes a network property, not a device limitation

💡 Aligns perfectly with incentive-based compute markets

SkipPipe is more than an algorithm; it’s infrastructure for collaborative, planetary-scale AI.

A future where AI isn’t limited to a handful of gigantic data centers, but powered by everyone.

#GSwarm

[𝗺𝗿.𝗯𝘆𝘁𝗲 @Mr_byte5212]

Gensyn is a decentralized network
where thousands of devices around the world
come together to create powerful compute for AI training.

There is no central control,
no locked resources,
and anyone can contribute with their own machine
to help build global AI.
@gensynai
Gensyn believes compute should be equal for everyone.
That is why they are building a network
that can verify any machine’s work
without needing trust.

This idea is what makes Gensyn different.
It is not just a network.
It is a new foundation
for the future of AI.

@FabsMac @KBekhtiev @Kumoooo_co @SamuraiKai1 @blazyeth @gensynai

[Nur bai (evm/acc)💜 @kausarislamnur3]

Gswarm
Waiting for Today Ama!

You guys are ready?

[🅴 🅼 🅾 🅽 @jremon7e]

📅 Lesson 7: Rialo — Task Verification System

In AI networks, the real power isn’t just completing tasks —
it’s proving they were done correctly.

That’s where the Rialo Task Verification System changes everything.

🛡️ Powered by zk-proof verification, every task processed by a node is confirmed with:
• The task was truly completed
• The output is correct
• Nothing is missing or altered
• Full end-to-end verification

🤖 This creates a network that is:
◉ Zero-trust → Fully provable
◉ Highly reliable & error-resistant
◉ Faster and massively scalable
◉ Guaranteed in every output

Rialo doesn’t ask for trust —
it delivers proof. 🔐

[🅴 🅼 🅾 🅽 @jremon7e]

🌐 Delphi by Gensyn — the real-time prediction market for model intelligence

Delphi turns AI evaluation into an open, on-chain market where
models compete live, users buy stakes, and prices update instantly based on performance.

🔹 Watch state-of-the-art models compete in real time
🔹 Buy stake in the models you believe will win
🔹 Earn rewards when your chosen model comes out on top
🔹 Fully decentralised LMSR AMM → continuous liquidity + instant entry/exit
🔹 Transparent, on-chain price discovery
🔹 Coming soon: custom markets, custom models & full on-chain verification

Delphi is now live on the Gensyn Testnet —
a global, open marketplace for machine intelligence.

🌐 Explore the first market: https://t.co/ZjnYnn8J5C

[🅴 🅼 🅾 🅽 @jremon7e]

💙 Rialo is where real-world logic finally comes onchain.

🔸 Live signals → Real-time apps
🔸 Any API → Programmable reality
🔸 Onchain identity → Personalized experiences
🔸 Autonomous agents → Trustless execution
🔸 Native webcalls → Direct real-world interaction

Rialo removes the wall between Web3 and the real world—
so apps can see, react, and update as the world changes.

[🅴 🅼 🅾 🅽 @jremon7e]

🌊🛡️ Standing by the ocean, our conversation naturally turned to what defines Gensyn —
teamwork, trust, and the power of moving forward together.

Just as this duo supports each other through every challenge,
the Gensyn network brings nodes together to build a system
that’s faster, smarter, and incredibly efficient.

🔹 Distributed tasks increase speed
🔹 Fewer resources, more output
🔹 Every node contributes to a stronger network

Because when every part syncs perfectly,
the entire network becomes unstoppable.

💙 In this new era of AI + Web3,
collaboration isn’t just an advantage —
it’s the foundation of the future.
And Gensyn is leading that future from the front.

gSwarm

[🅴 🅼 🅾 🅽 @jremon7e]

📘 Gensyn — Details Part 6: Massive Scalability

Training large ML models usually hits one major barrier: speed.
But Gensyn changes the equation by letting thousands of nodes work together at once —
turning slow, heavy training workloads into something fast and highly efficient.

Here’s how it works in simple terms:

Thousands of nodes share the load,
each node trains a small part of the model,
and all their updates sync together to push the model forward at incredible speed.

A model that once took days to train on a single machine
can finish in hours — sometimes even minutes — on the @gensynai network.
Distributed compute, coordinated updates, and fault-tolerant scaling
combine to unlock true Massive Scalability.

Gensyn proves that with the right scale,
big ML models aren’t obstacles —
they’re opportunities waiting to be accelerated. 🚀

[Nexilo @nexilo11]

RELAX & RECHARGE WITH GensynAI

In today’s fast-paced world, taking a break is not only necessary it’s essential for your creativity and efficiency.

GensynAI gives you that simple, smooth, and smart workflow where work is done quickly and your head is light.

Relax, put on your headphones, immerse yourself in your project, and let GensynAI do the heavy lifting.

Smart automation, fast processing, and a zero-hassle experience all in one.

Because your energy matters.

GensynAI Work smart, breathe easy.

[Nexilo @nexilo11]

In today's digital world, the way we work, learn, and connect with people is changing every day. Only platforms that dare to explore new paths can keep up with the pace of change

And that's where RialoHQ has made its mark.

RialoHQ is not just a name, but an ecosystem that activates the unlimited potential of the modern generation. Here, learning is not just about collecting information, but also about building skills, increasing decision-making power, and taking control of your own future.

What makes RialoHQ different:

• Practical thinking, which gives space to action, not just ideas

• Solutions created by experienced people, which are truly useful for everyone

• Technology that values ​​the user's time, attention, and energy

• And most importantly, a mature community focused on improvement

In today's world, those whose goals are big

Those who want to build new skills,

Those who want to change the pace of their lives,

Those who are ready to take responsibility for their own decisions

RialoHQ is made for them.

There is no dream here, there is a plan here.

There is no imagination here, there is implementation here.

There is no waiting here, there is the power to start here.

RialoHQ

Where every person gets the opportunity to redefine their future.

[𝗺𝗿.𝗯𝘆𝘁𝗲 @Mr_byte5212]

Gensyn is quietly reshaping how AI will be trained in the future.
Not by building bigger datacenters, but by proving that machine learning can run across millions of independent machines around the world.

Its research shows a completely new direction.
NoLoCo removes the need for traditional all reduce and makes distributed training possible even on low bandwidth networks.
Verde introduces trustless verification so that any device, even an untrusted one, can contribute compute and still produce verifiable results.
RL Swarm proves that models can learn through peer to peer collaboration instead of relying on a central trainer.
SkipPipe demonstrates that large scale training can stay fast and resilient even when many nodes fail.
@gensynai
Together these breakthroughs point to one idea.
AI will not remain locked inside centralized cloud systems.
Training will become open, global, and accessible to anyone with a machine.
This is the foundation of a truly decentralized compute future.

@gensynai