SergSh π² | Early Roller 🎲

Early Roller 🎲

[SergSh π² | Early Roller 🎲 @Nik71Tech]

@PerceptronNTWK good

[Perceptron Network @PerceptronNTWK]

An AI agent with stale data is just an expensive autocomplete loop.

To act in the real world, agents need:

1. Live inputs.
2. Verified context.
3. Fresh signals.
4. Access beyond closed platforms.

The next agent race will be won at the data layer.

[SergSh π² | Early Roller 🎲 @Nik71Tech]

@IstanbulBlockWk @Peter_thoc good

[Xeffy @Xeffy_io]

Xeffy: XAX Vault Sneak Peek👀

Introducing the Sneak Peek of XAX Vault, Xeffy’s Main Product.

We are currently conducting internal testing, and according to the roadmap, it is scheduled to launch in June

Stay tuned! 🔥

[SergSh π² | Early Roller 🎲 @Nik71Tech]

@Xeffy_io Good

[Xeffy @Xeffy_io]

Xeffy's Community MiniApp has launched! 🚀

Join us: https://t.co/hmAJIkcSfD

Access the Xeffy app, become an early contributor, and contribute to RWA mass adoption!

Early participants and contributors will be provided with our ecosystem token $Xef 🎁

Mark June 2026 on your calendars!👀🪂

Invite your friends and earn points by using the app!

[SergSh π² | Early Roller 🎲 @Nik71Tech]

@PerceptronNTWK good

[Perceptron Network @PerceptronNTWK]

What 800K+ nodes means in practice:
Perceptron doesn't depend on just one source.

It has a distributed surface across 150+ countries. The ability to see the internet from every angle, all at once.

No centralized team can replicate this capability.

[SergSh π² | Early Roller 🎲 @Nik71Tech]

@ShiftRWA 👍

[SHIFT @ShiftRWA]

To celebrate the launch of the SHIFT Stock Series, we're giving away a total of 1,000 USDT to the community 🎁

To enter:

1. Like + RT this post.
2. Reply with a screenshot of your open SHIFT Stocks position.
3. Submit your Solana wallet and tag 3 friends.

Ends in 72 hours ��

[SergSh π² | Early Roller 🎲 @Nik71Tech]

Just claimed my Early Roller ID.
It shows all my results from the Early Rollers race, locked on-chain forever.
That was an insane race, and we're just getting started.
Beta @rolly_onchain is going to change the game. https://t.co/XpQWx56JXm

[SergSh π² | Early Roller 🎲 @Nik71Tech]

Grax! @RaxFinance, really great points on shifting RWAs toward productive AI infrastructure. https://t.co/qhqPaLHtxT

[RAX Finance @RaxFinance]

https://t.co/5WiEnpLw9K

[RAX Finance @RaxFinance]

Here’s the shift nobody can ignore anymore:

Tokenization is quietly becoming the default infrastructure of U.S. capital markets. Stocks, ETFs, and Treasuries are moving onchain at real scale — and @OndoFinance just laid out exactly how it’s happening.

This isn’t theory. It’s the new operating system for TradFi.

Now apply that same transformation to the AI economy.

The physical backbone — compute clusters, GPUs, energy assets, and data centers — is ready to be turned into transparent, liquid, yield-generating RWAs.

@RaxFinance is already building the dedicated layer that makes this possible.

The infrastructure layer for the intelligence age is being written today.

[RAX Finance @RaxFinance]

AI infrastructure is scaling globally.

Hyperscalers (Microsoft, Amazon, Google, Meta and others) are on track for roughly $765 billion in annual AI-related CapEx in 2026 alone, with cumulative AI data center capital expenditures projected to reach $5.2 trillion by 2030 in the base case (and up to $7.9 trillion in accelerated scenarios), according to McKinsey (March 2026).

The global AI data center market itself is expected to grow from $147 billion in 2025 to $811 billion by 2033 at a CAGR of 23.9%, per Grand View Research. Meanwhile, global data center electricity consumption hit ~485 TWh in 2025 (up 17% YoY) and is projected to roughly double to ~950 TWh by 2030, with AI-focused facilities growing even faster (IEA, April 2026 report).

The financial layer around it is still early.

Despite these trillions in required capital, the entire tokenized Real World Assets (RWA) market (excluding stablecoins) stands at only ~$30–37.5 billion as of May 2026 — still tiny relative to the physical buildout and overwhelmingly dominated by traditional assets like Treasuries and private credit rather than AI compute, energy, or data centers (https://t.co/tiuaiI1NI9 and market reports, May 2026).

As more compute, energy, and data infrastructure come online, new models for access, coordination, and capital formation may emerge on-chain.

Rax Finance is exploring this direction by building a full-stack on-chain registry, metering, and settlement layer that tokenizes GPU capacity, data center power, and energy resources into verifiable, insured, yield-bearing RWAs — turning physical AI infrastructure into globally accessible, programmable assets.

What are your thoughts on the future of AI infrastructure RWAs, Rax Fam?

Would love to hear your ideas below 👇

[RAX Finance @RaxFinance]

What could accelerate AI infrastructure RWAs the fastest? 👀

[SergSh π² | Early Roller 🎲 @Nik71Tech]

Congratulations! @RaxFinance, my fragment collection journey has officially begun! https://t.co/R4WWt6w8xP

[RAX Finance @RaxFinance]

430,000+ transactions on the BSC Mainnet 🔥

The momentum keeps building:
https://t.co/LqM3Sz3rJx

To celebrate this milestone, the Rax team is giving away at least 50 extra Unboxing Opportunities

Want a “Congratulations” reply from us? 👀

Drop your EVM address and a screenshot of your Waitlist dashboard in the comments below 👇

[RAX Finance @RaxFinance]

Institutions aren’t dabbling anymore.

They’re rewriting the rules of capital markets in real time.

Banks, asset managers, and the biggest players are all-in on tokenization — turning it from experiment into the new standard.

The same forces now point straight at the AI economy.

The physical infrastructure powering intelligence — compute clusters, GPUs, energy assets, and data centers — is next in line to become liquid, transparent, onchain RWAs that actually generate yield.

@RaxFinance is building exactly that layer: full-stack RWA infrastructure purpose-built for AI.

The intelligence age needs its own financial rails. They’re being laid right now.

[SergSh π² | Early Roller 🎲 @Nik71Tech]

@PerceptronNTWK @sama nice

[Perceptron Network @PerceptronNTWK]

"The AI stack is scaling fast. But the missing layer is still data acquisition.

@sama has said that data is one of the major bottlenecks in AI development.

AI needs fresh, real-world data that can't be pulled from static training sets. That's what Perceptron is building.

[Rolly @rolly_onchain]

Prize pool just smashed $20,000.

Bag keeps growing. Bring your squad, stack it up.

https://t.co/PabWoSMNfK

Keep on rollin'