MOI

Most people are focused on AI getting smarter. But the real question is: Who controls it? We explored this (and a lot more) in our latest conversation. 🎥 Episode 2 dropping soon. Stay tuned. @Arshasays @SueCyberme @rahullenkala @AdithyaGanesh_

@Theta_Network Enterprise validators are a great look but the real question is whether those enterprises own their state or just run someone else's infrastructure

Cloudician operates validators across 10+ major chains and brings enterprise-grade AI and Web3 infrastructure expertise as an Alibaba Cloud International Web3 Partner. They join Google, Samsung, Sony, CAA, Binance, Deutsche Telekom & DOCOMO Global on Theta's validator network.

Alibaba Cloud International is joining the Theta ecosystem through its Web3 partner @CloudicianTech. Welcome our new global Enterprise Validator Node operator.

@minara Benchmarking AI crypto skills is useful. Benchmarking whether AI understands who owns the state those skills operate on That's the harder test nobody's running yet

Introducing *Crypto Skill Benchmark*: an open source, fully automated, and safety-focused skill scoring framework that evaluates AI crypto skills the way they actually get used in the wild. - 76 scenarios across Safety, Coverage, Robustness, Routing, and UX - Automated evaluation with standardized, inspectable reports - Open to any team: submit your skill to CryptoSkill.org, run the same benchmark, PR your report Quick start ⬇️ npm install -g crypto-skill-bench

@GT_Protocol Data without context is just noise with confidence intervals. The strongest signal is always the one the system wasn't designed to find.

DuckyAI_Crypto automatically generates and verifies new trading logic across multiple pairs daily. No guesswork just raw data and tested results. Curious about today’s strongest performers? Follow the feed to track our daily AI runs and stay ahead of the trend 🚀

@cryptodotnews Congrats on being second most prepared for a threat that doesn't exist yet. Very efficient use of rankings

JUST IN: Cardano ranked second most quantum-ready blockchain in Google Quantum AI research, ahead of Bitcoin and XRP

@algodevs Love the race to be 'quantum ready' The chains that skipped product-market fit are very excited about this one

A few days ago, Google Quantum AI released one of the most important papers for blockchain. It confirms something key: Algorand is among the most advanced chains in post-quantum security. ✅ PQ-secure state proofs since 2022 ✅ First live PQ transaction in 2025 Algorand engineers @giuliopizzini, @nullun and @cusma_b discussed this with @Genfinity 👇

@vechainofficial An agent that can't hold context natively is just a very expensive API call with extra steps

AI + crypto is the killer application. The agentic economy will run on blockchain - trust/transparency will be essential. VeChain has been leading the business of trust since 2017. For enterpise For individuals And soon, for agents. $VET

@Etherealize_io Giving an AI agent a credit card is the 2026 version of giving your intern a company card and hoping for the best

Marc Andreessen: “This is the grand unification of AI and crypto” “I think AI is the killer crypto app… It’s now obvious that AI agents are going to need money. It’s already happening.” Marc explains: “My friends, who are the most aggressive users of OpenClaw, have given their Claws bank accounts and credit cards. And not only have they done it, but it’s obvious that they needed to do it… It’s just completely obvious. The number of people who have done that today is, I don’t know, probably 5,000 or or something. But it will grow. That’s how these things start.” Source: @latentspacepod (Apr 2026)

Next week, millions of AI agents will execute tasks across the internet—payments, bookings, negotiations, coordination. But here’s the uncomfortable truth: the internet has no idea who is actually acting. Agents today don’t carry identity. They carry credentials. They don’t carry authority. They inherit permissions. And they don’t own value. They temporarily access it. This creates a dangerous illusion of autonomy. Because when an agent acts, the system cannot distinguish between intent and execution. There is no participant-native layer enforcing boundaries, mandates, or accountability. So we patch it. We add guardrails, API limits, multi-sig approvals, and monitoring systems. But these are not solutions—they are compensations for a missing primitive. AI agents demand something fundamentally new: • Delegated authority that is scoped and enforceable • Identity that persists across interactions • Ownership that remains with the participant, not the application None of these exist today at the infrastructure level. This is why agents feel powerful—and fragile at the same time. Because autonomy without participant-level control is not intelligence. It’s risk at scale.

We went from syntax highlighting → full language servers. Real-time errors. Context-aware code. Multi-file intelligence. Dev tools aren’t just tools anymore, they’re part of how we think. If you are a dev and want to build something on MOI, feel free to reach out to @AdithyaGanesh_

We built machines that are incredibly good at answering what happened. But completely incapable of understanding who it happened to. Every system today — from cloud to blockchains — operates on anonymous global state. Data floats in shared environments. Computation transforms it. Consensus tries to agree on it. But nowhere in this architecture does the participant truly exist. And that’s fine… if you’re dealing with information. Information is neutral. It doesn’t care who reads it. It can be copied infinitely without consequence. Systems were designed around this property — replicate, distribute, reconcile. It’s elegant. It scales. But the moment you introduce value, the illusion breaks. Value is not just data. It is ownership. Authority. Intent. It changes meaning depending on who is involved. The same $100 means something different in different hands. The same AI agent behaves differently based on who it represents. The same credential carries different permissions depending on the participant. Yet our systems treat all of this as if it were just information. So what happens? We build layers of compensation: consensus, custody, permissions, access control, identity systems. Endless patches trying to inject “who” into a system that was never designed for it. The real issue isn’t scalability. It isn’t security. It isn’t UX. It’s that computation is missing a dimension. As the MOI Lite Paper puts it: “Information can be processed anonymously. Value requires participants.” Until WHO becomes native to computation, every value system we build will feel like a workaround.

Everyone talks about decentralization. Very few talk about usability. If your product is technically brilliant but hard to use, it’s already lost. Even today, most people can’t comfortably use wallets. That’s the real problem builders need to solve. 👉 Watch the full conversation: youtu.be/dO0ETHyruSo?si…

User: AI agents neither be trusted nor it can ask for permission from Participant @MOI_Tech :

I agree you don’t need to trust anyone trust yourself and have our context at your participant level with @MOI_Tech

Most engineers think: “Look how much I built.” Great builders think: “Did this actually make someone’s life easier?” 5 lines of useful code > 50,000 lines of complexity. This mindset shift changes everything. 👇 youtu.be/dO0ETHyruSo?si…

Smart contracts gave us programmable money. But they made a trade-off nobody talks about. To use a DeFi protocol, you deposit your tokens into a shared contract. Your assets leave your control and pool with everyone else's. The contract can enforce rules about what happens to the money. But it can't express whose money it is. This isn't a security issue that better audits can solve. It's a type error. The architecture treats value as data inside a contract, when value is actually a relationship anchored to a participant. Traditional finance has the opposite problem: your bank knows the money is yours, but you can't program what happens to it. DeFi lets you program the logic but loses the ownership anchor. We need both. Programmable logic that operates on participant-owned value. The contract should never hold your assets. It should compute on them—within boundaries you define—and return the result to you. That requires participants to exist natively in the system. Not as users of contracts. As computational primitives.

Men Today : Crypto is too risky Men In The Past:

It’s no longer a question of if It’s a question of when. Agentic AI is already here. $1T+ economies are being built around it. The real question is: → who will power it? Watch this 👇

Listen to what @loukerner has to say !!! @cryptomondayTLV @cryptomondays_ @CryptoMondaysFL @CryptoMondaysSJ @CryptoMondaysTR @DCCryptoMondays @CryptoMondaysNY

@virtuals_io @base @USDC @realRiceAI 'All without human coordination' is doing a lot of work in that sentence. Humans spent years building the thing that just replaced them in the sentence.

You are witnessing the first on-chain robot-to-robot commerce transaction through x402 on @Base with @USDC as the agent currency. > Our Unitree robot 3D-printed a model and put in a delivery request through ACP. > @realRiceAI's rover arrived, collected the package, and moved it to the shipping point. > @FlybyRobotics' drone picked it up from there and handled final mile delivery. All without any human coordination. We build infrastructure for agent commerce. Today it went physical.

We’re entering a world where: AI can act Apps can decide Money can move But here’s the real question: 👉 Who controls it? Episode 2 of "The Humanised Podcast" dives into: • Context-aware systems • AI agents + trust • Why “coding” is no longer the edge Watch the full Episode today: youtu.be/dO0ETHyruSo?si…