Trust Wallet now supports 24/7 access to these 6 @OndoFinance assets:
SPYon, QQQon, CRCLon, NVDAon, TSLAon & GOOGLon.
More RWAs, all in one app.
Available in supported jurisdictions. Terms apply.
A research group just demonstrated the first AI agent system to autonomously discover and experimentally validate a new physical mechanism on a real optical platform.
Hypothesis. Experiment design. Data collection. Analysis. Validation.
No humans in the loop.
The discovery is the headline. The bottleneck behind it is the actual story. 🧵
Nobody is talking about what just happened in Frankfurt.
Ondo, Clearstream, and Deutsche Börse Group just announced a partnership that changes the entire $ONDO thesis.
Clearstream is not a startup. It is the post-trade infrastructure that European institutional capital actually runs on.
20 trillion euros in assets under custody. The settlement and custody backbone of the largest financial markets in the world.
Here is what was just announced.
Phase one: now live on 360X (Deutsche Börse Group’s regulated digital asset trading venue)
Ondo tokenised stocks and ETFs are now live on 360X.
AAPLon, NVDAon, TSLAon, MSFTon, GOOGLon, METAon, SPYon, QQQon.
The largest tokenised securities bulk listing on 360X to date.
That is phase one.
Phase two: what changes everything
Ondo tokenised assets will be integrated into Clearstream's custody, settlement, and collateral infrastructure.
Institutions across Europe will be able to hold tokenised Apple stock in the same custody system where they hold their traditional securities. Same workflow. Same settlement rails. Same infrastructure they have used for decades.
But onchain.
Clearstream will also make assets it holds in custody available to Ondo in tokenised form for distribution to Ondo's global client network outside the US.
That is a two-way bridge.
Ondo brings assets onchain. Clearstream distributes them through institutional infrastructure.
The wall between crypto rails and traditional finance just came down in both directions simultaneously.
This follows Ondo's recent regulatory approval to offer tokenised stocks and ETFs across 30 European countries. 500 million investors now have regulated onchain access to US markets.
Most people are still thinking about $ONDO as a crypto token.
The institutions just started thinking about it as post-trade infrastructure.
Those are two completely different categories of bets.
The crowns were never up for debate.
Most people just found out too late.
Tokenized stocks refuse to slow down.
The fastest-growing tokenization category, up ~2,900% YoY and now officially a $1B+ market.
And we're still in the earliest innings.
$100,000,000 in TVL.
@binance is now the world's largest tokenized stocks exchange, surpassing Kraken, with over $100M in TVL and $1B in volume since listing Ondo tokenized stocks.
Ondo Global Markets continues to expand access to the world's most in-demand assets.
What if AGI doesn't come from OpenAI, Google, or Anthropic?
What if it's born decentralized?
Our ambassador @joobid delivered a 50-min technical talk at T3chFest, Spain's largest developer conference, making that exact case.
No marketing fluff. Pure technical breakdown:
→ Why LLMs can't reason or evolve autonomously
→ How Qubic redirects mining energy into AI training
→ Ternary logic inspired by biological neural networks
→ Decentralized "brains" transplanted into real robots
The best part? This wasn't funded by a foundation or treasury.
The Qubic community crowdfunded the entire thing in under 48 hours.
Now the full talk is live. Watch it 👇
https://t.co/CIp4zGCWXQ
Today Ondo filed with the SEC to show that public blockchain infrastructure and serious securities regulation can be designed to be compatible.
The reason for the filing is practical. Ondo is asking the SEC to confirm it can proceed with a specific model for adding a targeted onchain layer to Ondo Global Markets, without changing the existing legal framework and customer protections:
1. Cleaner collateral monitoring for OGM products
2. More efficient creation-and-redemption workflows
3. Simpler reconciliation across the OGM product stack
Each of these improvements is possible because the underlying structure stays intact. Public blockchain rails and serious securities regulation can be, and are being, designed to work together.
Ondo looks forward to a thoughtful review of this filing as part of the broader conversation about how public blockchain infrastructure fits into regulated markets.
The AI coding revolution is accelerating fast.
Sophisticated tools help developers build faster across every language and framework.
But what happens when you are building on a blockchain that does not use Solidity, does not fork Ethereum, and has its own smart contract language designed from scratch?
That is the challenge Qubic developers face, until now.
Community developer @andy_qus just solved it.
Meet the QPI VS Code extension. A complete development environment for Qubic’s custom smart contract language.
What you get:
Type “qpi-contract” and hit Tab. You get a full smart contract skeleton, ready to build on. Syntax highlighting that knows QPI macros, types, and API calls. A real-time linter that catches Qubic-specific mistakes as you type. IntelliSense that auto-completes every qpi.* function with full documentation. Hover over any keyword and get instant explanations without leaving the editor. A contract validator that checks your entire file’s structure, not just individual lines.
Think of it like having an experienced Qubic developer looking over your shoulder, catching mistakes before you compile.
While other chains adapt Ethereum tooling to fit their needs, Qubic builds tools specifically for its architecture. Custom tick system. Custom consensus. Custom programming interface. Custom IDE support.
A fruit fly runs 125,000 neurons on almost no energy. No training. No data. No optimization.
Scientists mapped every single connection in its brain and built a model that predicts real behavior from wiring alone.
Turns out, intelligence doesn't always start with learning. Sometimes it's already in the structure.
Our team broke down what this means for AI and why we think the future isn't optimization. It's organization.
Most AI systems have a choice: learn something new, or remember what they already know.
Not both. One or the other.
Biology solved this problem millions of years ago with astrocytes, cells that act as gatekeepers, deciding when neural connections are allowed to change and when they need to be protected.
Neuraxon now models this. Volume 5 of the Intelligence Academy breaks down how astrocytic gating gives the network something most AI systems don't have: the ability to keep learning without destroying what it already knows.
The stability-plasticity problem is one of the hardest challenges in AI.
Qubic is solving it with biology, not brute force.
"Neuraxon 2.0 represents our effort to rethink neural computation from first principles."
David Vivancos & Dr. José Sánchez, Qubic Scientific Team
(Source: Neuraxon 2.0 press release, Feb 2026)
While the countdown to DOGE mining continues, here’s what’s running underneath it all.
The same network that goes live with Dogecoin on April 1st is simultaneously training decentralized AI using Neuraxon 2.0, a bio-inspired neural computation framework published on ResearchGate, with the full codebase open on GitHub.
This is what makes Qubic different from every other mining narrative. ASIC hardware mines DOGE. CPUs and GPUs train neural networks built on peer-reviewed research. Both running at the same time. Both generate value.
Dogecoin mining is the revenue engine. Decentralized AI is the mission.
April 1st activates both.
#DogeMeetsQubic
$QUBIC 𝐃𝐄𝐂𝐎𝐔𝐏𝐋𝐈𝐍𝐆...👀
Think about #QUBIC and #AIGARTH this way: you are a machine that eats food and eliminates it. Every food you eat is gone, so you are literally a machine for consuming. Similarly, QUBIC and AIGARTH are platforms where every #AI can be deployed and trained by QUBIC miners in a decentralized way.
Look at the current world situation: every company is developing bots, buying AI computing power, and renting resources to build better AI models. AI is becoming the solution for companies that want to replace employees. For example, if a company currently pays an employee $3,000 per month to write backend code, AI can replace that work at a cost of only $50–$100. That’s why every company wants faster AI deployment: to maximize profits by reducing employee costs and scaling operations.
QUBIC will be the platform where companies can deploy their models into AIGARTH. For example, if a company needs X worker to do a job, AIGARTH can train AI to perform that work, allowing the company to replace human employees. That’s the power of QUBIC and that’s why we are aiming for $𝟎.𝟎𝟏 🔥
#QUBIC #AIGARTH #DecentralizedAI #AIRevolution #CryptoInnovation #BlockchainAI #NextGenAI #CryptoMining #AIPlatform #TrueDecentralization #CryptoTech #AIIntegration #FutureOfWork #ProfitWithAI #CryptoHype