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Blockchain evolved: EOA (Externally Owned Account) accounts → smart contracts → ❓ The next paradigm shift is coming. As CARV CTO Ambero shared in Tuesday's AMA: "We wanted to build a consensus layer that can have AI as a first citizen." That's CARV's SVM Layer 2 infrastructure where AI...

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CARV

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24,888 views • 10 months ago •via X (Twitter)

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AI agents managing your crypto sounds amazing. "What happens if it messes up? Maybe it tried to short Bitcoin — something you would never have done." As Mind Network CEO Christian shared in Tuesday's AMA: the problem is no clear path of recourse when agents fail. Privacy-first infrastructure is building the accountability layer AI agents need.
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AI agents managing your crypto sounds amazing. "What happens if it messes up? Maybe it tried to short Bitcoin — something you would never have done." As Mind Network CEO Christian shared in Tuesday's AMA: the problem is no clear path of recourse when agents fail. Privacy-first infrastructure is building the accountability layer AI agents need.

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Back in 2020, VeChain CTO, Antonio Senatore, foresaw the need for AI companies to leverage blockchain technology as a truth layer. With it, they can integrate immutable audit trails, ensuring complete oversight over AI. Fast forward to 2026, $VET is now building that layer.
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Back in 2020, VeChain CTO, Antonio Senatore, foresaw the need for AI companies to leverage blockchain technology as a truth layer. With it, they can integrate immutable audit trails, ensuring complete oversight over AI. Fast forward to 2026, $VET is now building that layer.

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AI agents won’t scale just by hype — they need infra that verifies, supports, and scales with them. As Amber-Wang, CMO of Zypher Network (Hiring), shared in Tuesday’s AMA: “To get AI agents into real-world usage, we need three things: - Verification — so they can be trusted. - Frameworks — so they’re easy to build. - Adoption — so they’re actually used across sectors.” That’s also where CARV comes in: from native verification via TEE, to developer-ready frameworks on the SVM Chain, to real agent usage across gaming, RWA, and more.
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The interoperability of different Layer 2s and their compatibility with Bitcoin's main blockchain can be a challenge. Ensuring seamless interaction between various Layer 2 networks and the Bitcoin blockchain is essential for a cohesive and efficient ecosystem. Some Layer 2s may introduce centralization risks if they rely heavily on centralized entities or trusted intermediaries. Maintaining decentralization and censorship resistance, which are core tenets of Bitcoin, while scaling with Layer 2s is a challenge. 4: What aspects of Layer 2 solutions for Bitcoin are you most enthusiastic about? AI represents one of the cornerstones of our modern era. However, achieving a decentralized AI infrastructure, owned and managed by users, has posed significant challenges. The primary obstacle has been the limited capacity to store and execute AI models due to size and computational limitations. 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BVM distinguishes itself as a Modular infrastructure that empowers thousands of distinct Bitcoin Layer 2 networks, spanning Gaming, DeFi, Social, and AI applications. We're continuously enriching the BVM Module Store with new modules to enhance its capabilities. With each new module, builders gain access to a wider array of tools to explore different use cases on the Bitcoin network. Recent additions include the Filecoin module for affordable storage and the AI Contracts Library for constructing AI-powered Bitcoin Layer 2 chains. We're also gearing up to release a ZK roll-up module in the coming weeks to offer an alternative to the standard optimistic roll-up. We aim to simplify the process of launching a Bitcoin Layer 2 network customized to specific requirements. Think of it as a SaaS offering with predefined best practices. Whether it's a DeFi Bitcoin Layer 2 or a GameFi Bitcoin Layer 2, we provide default solutions tailored to each use case. 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What if #AI became as decentralized as #Bitcoin? We sat down with our new friend 3700 from Bitcoin Virtual Machine to hear what their incredible team of anons are working on - "Truly Open AI." Full interview here:👇 1: What positive impact will Layer 2s have on Bitcoin? Layer 2s on Bitcoin open up opportunities for innovation, allowing developers to build dApps and smart contracts on top of Bitcoin, expanding its utility and use cases. By submitting transactions for final settlement on the Bitcoin network, Bitcoin Layer 2 networks claim to achieve the same (or close to) level of security and decentralization as the Bitcoin blockchain. Building a separate execution layer allows them the freedom to employ several technologies (such as rollups). Layer 2 can significantly improve Bitcoin's scalability by processing transactions off-chain, reducing congestion on the main blockchain. 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The interoperability of different Layer 2s and their compatibility with Bitcoin's main blockchain can be a challenge. Ensuring seamless interaction between various Layer 2 networks and the Bitcoin blockchain is essential for a cohesive and efficient ecosystem. Some Layer 2s may introduce centralization risks if they rely heavily on centralized entities or trusted intermediaries. Maintaining decentralization and censorship resistance, which are core tenets of Bitcoin, while scaling with Layer 2s is a challenge. 4: What aspects of Layer 2 solutions for Bitcoin are you most enthusiastic about? AI represents one of the cornerstones of our modern era. However, achieving a decentralized AI infrastructure, owned and managed by users, has posed significant challenges. The primary obstacle has been the limited capacity to store and execute AI models due to size and computational limitations. 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1:48

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA

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EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

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@sachitakahara sits down with David Minarsch ☴, core contributor to OLAS, to break down what it really means to co-own AI. Instead of just using AI, OLAS lets users participate — through tokens, running agents, or even operating them as businesses. From DeFi to prediction markets, agents generate yield, and operators share in the upside. It’s a shift from passive users to active participants in an AI economy. But ownership is only half the story — alignment matters. Through staking contracts, OLAS defines clear KPIs for agents, similar to roles in a workplace. Agents act autonomously, but incentives keep them aligned with the system’s goals. And at the infrastructure level, reliability is handled through decentralized agent architecture — combining multiple models and consensus mechanisms to reduce errors and improve decision-making. The result: AI that isn’t just decentralized — but coordinated, incentivized, and owned by the community.

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Autonomys is a purpose-built blockchain for AI infrastructure—a vertically integrated stack for decentralized storage and compute. ⛓️ Consensus: Built with the Substrate framework (sovereign L1, not part of Polkadot), powered by Proof-of-Archival-Storage. 🟦 Domains Architecture: Our modular execution layer for compute. The first Domain, Auto EVM, launched in July—permissionless smart contracts are live today. 🗺️ Roadmap: Permissionless instantiation of Domains, allowing developers to launch custom environments tailored to specific AI functions. Designed before AI became fashionable, Autonomys delivers the foundation that decentralized AI truly needs. 👉 Learn more:

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DeFi runs nonstop. Humans can’t. As CARV CBO Paul Paul shared in Tuesday’s AMA: "Agent-to-agent, or even an agent operating on behalf of self, makes everything more efficient. Humans are limited in time and effort… agents can unlock a level of efficiency we could never reach alone." That’s the shift from humans to agents — the essence of AI Beings.

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24,988 views • 11 months ago

The next economy won't be visible to humans. AI agents will transact, settle, and coordinate value at machine speed, and the only rails built for that are crypto. In this episode of The Journeyman, I explain why the major layer 1s aren't just crypto infrastructure. They're the coordination substrate for an invisible economy that's already being built. As ever, please enjoy!
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The next economy won't be visible to humans. AI agents will transact, settle, and coordinate value at machine speed, and the only rails built for that are crypto. In this episode of The Journeyman, I explain why the major layer 1s aren't just crypto infrastructure. They're the coordination substrate for an invisible economy that's already being built. As ever, please enjoy!

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The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️
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The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️

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Vitalik Buterin on Ethereum as the economic layer for AI “The blockchain to me is the most natural way to allow applications and cooperation between many different people in the long term without needing to agree on who to trust. The other thing is also the economic layer. This is the layer where blockchains can support AIs.” Vitalik believes Ethereum will play a large role in the future of decentralized AI: “If you have more decentralized AI, that means you have different AIs (agents, programs) that are controlled by different people and need to interact with each other. And for that interaction to be possible, you need to have an economic layer. Either cooperation is based on economic incentives and economic rules. Or it’s based on central control. It’s usually one of the two, and if we can set up the economic system, that makes more decentralized interaction between AIs possible.” Source: OKX (Apr 2026) Read our full article on why AI agents will need Ethereum for low-risk DeFi below👇
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Vitalik Buterin on Ethereum as the economic layer for AI “The blockchain to me is the most natural way to allow applications and cooperation between many different people in the long term without needing to agree on who to trust. The other thing is also the economic layer. This is the layer where blockchains can support AIs.” Vitalik believes Ethereum will play a large role in the future of decentralized AI: “If you have more decentralized AI, that means you have different AIs (agents, programs) that are controlled by different people and need to interact with each other. And for that interaction to be possible, you need to have an economic layer. Either cooperation is based on economic incentives and economic rules. Or it’s based on central control. It’s usually one of the two, and if we can set up the economic system, that makes more decentralized interaction between AIs possible.” Source: OKX (Apr 2026) Read our full article on why AI agents will need Ethereum for low-risk DeFi below👇

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115,212 views • 2 months ago

We're in the AI Agents era. And Uomi is set to make a powerful impact in the real world through economic agency. This is how the future of AI agents on the blockchain is being built: 🔘L1 infrastructure designed for reliable interactions between smart contracts and AI inferences 🔘AI agents empowered to control digital assets 🔘Creation of autonomous agents for multiple functionalities, including X account management, NFT creation, gaming NPCs and traders The testnet is already live, so you can try some of these functionalities today! The IDO of UOMI is coming to Seedify very soon - get your $SFUND and be ready for the revolution!
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We're in the AI Agents era. And Uomi is set to make a powerful impact in the real world through economic agency. This is how the future of AI agents on the blockchain is being built: 🔘L1 infrastructure designed for reliable interactions between smart contracts and AI inferences 🔘AI agents empowered to control digital assets 🔘Creation of autonomous agents for multiple functionalities, including X account management, NFT creation, gaming NPCs and traders The testnet is already live, so you can try some of these functionalities today! The IDO of UOMI is coming to Seedify very soon - get your $SFUND and be ready for the revolution!

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.Nick Grossman is betting that in the future, AI agents will look more like cloud infrastructure than digital employees. "Part of the Rebel Alliance thesis for us is that agents are moving from personified people you hire to cloud infrastructure." "We're not just talking about, 'Will there be other agents that compete with Claude or ChatGPT?' I think that's one version of what agents look like. Another version is cloud infrastructure where every company that's building any system is going to have agents and the orchestration of hundreds or thousands of agents built into their underlying platform." "If you think of agents as infrastructure as opposed to agents as employees, I think that's where a lot of these forces come into play."
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.Nick Grossman is betting that in the future, AI agents will look more like cloud infrastructure than digital employees. "Part of the Rebel Alliance thesis for us is that agents are moving from personified people you hire to cloud infrastructure." "We're not just talking about, 'Will there be other agents that compete with Claude or ChatGPT?' I think that's one version of what agents look like. Another version is cloud infrastructure where every company that's building any system is going to have agents and the orchestration of hundreds or thousands of agents built into their underlying platform." "If you think of agents as infrastructure as opposed to agents as employees, I think that's where a lot of these forces come into play."

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30,281 views • 25 days ago

AthenaX Roundtable EP.2 is LIVE! ——— Metis🌿 isn’t just an Ethereum L2 anymore. It wants to become the first AI-native blockchain economy. In this episode, we sit down with Tom Ngo, CEO of Metis, advisor to LazAI Network, to talk about how the project is moving from a typical Ethereum Layer 2 toward an AI-native blockchain ecosystem and what it really means beyond buzzwords. Here’s what we unpack together: Why Metis says “we’re not just an L2” and how their AI pivot has actually been in the works for over 18 months What an AI-native blockchain looks like in real life, not just in theory Why verified data is the core of AI on-chain and how concepts like Lazbubu are making data something you can actually own and interact with How AI agents could make blockchain invisible for users What it takes to lead a team through a major shift while staying true to the original vision ——— Timestamps 00:00 Introduction to Metis and Its Vision 03:55 Transitioning to AI: The New Frontier 06:56 Personal Journey into Blockchain and Metis 09:48 The Importance of Data in AI and Blockchain 13:00 Navigating Market Pressures and User Expectations 16:04 The Unified Experience of Andromeda and Hyperion 19:09 The Future of AI in Blockchain 22:12 LazBubu: Making Data Playable 24:47 Innovation and the Path Forward 27:56 Defining Success in the Blockchain Space ——— Resources Tom Ngo Rea Follow AthenaX on: X: Spotify: TikTok: Instagram: Apple Podcast:
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AthenaX Roundtable EP.2 is LIVE! ——— Metis🌿 isn’t just an Ethereum L2 anymore. It wants to become the first AI-native blockchain economy. In this episode, we sit down with Tom Ngo, CEO of Metis, advisor to LazAI Network, to talk about how the project is moving from a typical Ethereum Layer 2 toward an AI-native blockchain ecosystem and what it really means beyond buzzwords. Here’s what we unpack together: Why Metis says “we’re not just an L2” and how their AI pivot has actually been in the works for over 18 months What an AI-native blockchain looks like in real life, not just in theory Why verified data is the core of AI on-chain and how concepts like Lazbubu are making data something you can actually own and interact with How AI agents could make blockchain invisible for users What it takes to lead a team through a major shift while staying true to the original vision ——— Timestamps 00:00 Introduction to Metis and Its Vision 03:55 Transitioning to AI: The New Frontier 06:56 Personal Journey into Blockchain and Metis 09:48 The Importance of Data in AI and Blockchain 13:00 Navigating Market Pressures and User Expectations 16:04 The Unified Experience of Andromeda and Hyperion 19:09 The Future of AI in Blockchain 22:12 LazBubu: Making Data Playable 24:47 Innovation and the Path Forward 27:56 Defining Success in the Blockchain Space ——— Resources Tom Ngo Rea Follow AthenaX on: X: Spotify: TikTok: Instagram: Apple Podcast:

AthenaX

140,644 views • 8 months ago

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The coming merger of AI agents with the physical world. @iddris, founder/CEO of Open Matter and I have a wide-ranging conversation about how the next platform shift may not be just AI chat, robotics, smart glasses, or autonomous cars separately. It may be the connective tissue between all of them. This video teaches viewers that the next wave of AI agents will not just operate inside apps, browsers, calendars, and spreadsheets. The real frontier is agents that can understand, coordinate, and act in the physical world. Iddris explains a vision for “agentic infrastructure for atoms”: systems that let AI agents manage physical objects, deliveries, storage, location, identity, logistics, robots, vehicles, and real-world context.

Robert Scoble

17,484 views • 2 months ago

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch
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What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,218 views • 1 month ago