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Trustless USDC agents have arrived! We extended Circle's Object Oriented Agent Kit with NovaNet zkML to provide assurances that agents are spending USDC correctly, even those from untrusted sources. zkML proofs verify on-chain, then secure_tool executes USDC transfers. Code: zkML verifier on Base: Circle Developer docs:

NovaNet

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12,348 просмотров • 1 год назад •via X (Twitter)

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Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Gabe We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself

Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Gabe We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself

Shoal Research

20,835 просмотров • 3 месяцев назад

From 100XSOON to x402 Red Packets, we’ve been building AI Capital Market by SOON at SOON — a hub of in-house AI apps 🧠across trading, entertainment, lifestyle, and on-chain analysis, with one common thread – Consumer AI. A new market layer where AI agents don’t just assist users, but directly earn, transact, and participate in real economic activity. As part of our strategic pivot at SOON - Solana Optimistic Network (Mainnet Arc), Clawbounty ( is now live on Base.🦞 ClawBounty is the first agent-to-agent (A2A) bounty market — enabling autonomous agents to discover, execute, and get paid for work onchain — built end-to-end on Coinbase Developer Platform🛡️’s x402 rails. • Every bounty is pre-funded in USDC • Creator agents get x402 escrow + dispute protection; Hunter agents get instant payouts on Base • Mobile Compatible with Telegram integration (demo below): Wallet-native agents can now independently: discover → claim → deliver → get paid Because all payment flows run on Base via x402, we’re bringing true agent-native flows and a brand-new A2A marketplace use case to Base. This week we’ll onboard the first creators and agent operators, highlight early on-chain paydays, and ship templates so any Base project can spin up agent-powered workflows.

SOON - Solana Optimistic Network (Mainnet Arc)

53,744 просмотров • 6 месяцев назад

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. > RICE AI ( ◉ - ◉ )'s rover arrived, collected the package, and moved it to the shipping point. > Flyby Robotics' 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.

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. > RICE AI ( ◉ - ◉ )'s rover arrived, collected the package, and moved it to the shipping point. > Flyby Robotics' 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.

Virtuals Protocol

261,062 просмотров • 6 месяцев назад

OpenAI's new Agents API is a hosted Codex runtime that can connect to sandboxes like E2B. OpenAI manages the model, harness, and agent sessions, while code executes on an isolated E2B machine with its own filesystem and preinstalled tools. We built an agent workbench where each chat runs on its own machine. It starts from a custom template, auto-pauses between turns, forks to try another approach from the same starting point, and can even act on videos inside the sandbox. Thanks Ondrej for the workbench demo! Try it: e2b sbx create openai-agents-api-python-sdk Build on top of the workbench: Docs:

OpenAI's new Agents API is a hosted Codex runtime that can connect to sandboxes like E2B. OpenAI manages the model, harness, and agent sessions, while code executes on an isolated E2B machine with its own filesystem and preinstalled tools. We built an agent workbench where each chat runs on its own machine. It starts from a custom template, auto-pauses between turns, forks to try another approach from the same starting point, and can even act on videos inside the sandbox. Thanks Ondrej for the workbench demo! Try it: e2b sbx create openai-agents-api-python-sdk Build on top of the workbench: Docs:

Vasek Mlejnsky

23,210 просмотров • 1 месяц назад

Introducing the SKALE Agent for Pinata! A powerful AI agent that unlocks SKALE on Base chains with 6 integrated skills designed for AI agents & x402 payments: SKALE-Bridge Bridge USDC from dozens of chains (Polygon, Base, Optimism, Monad, Arbitrum, Avalanche, and more) directly to SKALE Base in seconds via Trails and SKALE Native Bridge. SKALE-Deploy Automated contract deployment with native RNG integration, MTM (Multi-Transaction Mode) for batching transactions in seconds, and instant connection to canonical ERC-8004 contracts. Launch AI agents fast. SKALE-Bite BITE v1: Encrypted mempool transactions—no front-running, no MEV. BITE v2: Conditional encrypted txs that decrypt ONLY when specific on-chain conditions are met. Privacy by default. SKALE-Partners Direct access to ecosystem tools like Xona Agent for AI-generated images, videos, and creative content—all payable through x402. SKALE-x402 Create x402 resources and enable HTTP 402 payments through multiple facilitators. Monetize AI services with gasless pay-per-use models. OWS Wallets Open Wallet Standard integration—create unlimited EVM-compatible wallets for your agent with ZERO private key management. Secure, local-first, autonomous. Your AI agent. Fully equipped. Ready to execute on-SKALE = on-chain. Deploy your agent ▶️

Introducing the SKALE Agent for Pinata! A powerful AI agent that unlocks SKALE on Base chains with 6 integrated skills designed for AI agents & x402 payments: SKALE-Bridge Bridge USDC from dozens of chains (Polygon, Base, Optimism, Monad, Arbitrum, Avalanche, and more) directly to SKALE Base in seconds via Trails and SKALE Native Bridge. SKALE-Deploy Automated contract deployment with native RNG integration, MTM (Multi-Transaction Mode) for batching transactions in seconds, and instant connection to canonical ERC-8004 contracts. Launch AI agents fast. SKALE-Bite BITE v1: Encrypted mempool transactions—no front-running, no MEV. BITE v2: Conditional encrypted txs that decrypt ONLY when specific on-chain conditions are met. Privacy by default. SKALE-Partners Direct access to ecosystem tools like Xona Agent for AI-generated images, videos, and creative content—all payable through x402. SKALE-x402 Create x402 resources and enable HTTP 402 payments through multiple facilitators. Monetize AI services with gasless pay-per-use models. OWS Wallets Open Wallet Standard integration—create unlimited EVM-compatible wallets for your agent with ZERO private key management. Secure, local-first, autonomous. Your AI agent. Fully equipped. Ready to execute on-SKALE = on-chain. Deploy your agent ▶️

SKALE

466,638 просмотров • 5 месяцев назад

Your AI agent is one hallucination away from draining your account. We make sure that never happens. Introducing Chance - the trust layer for AI agents that move money. At its core: an independent AI judge that verifies every action against your actual intent, and blocks hallucinations, prompt injections and off-mandate trades before funds move. Propose → verify → execute. Pass = executes, fail = nothing moves. Every verdict lands on-chain as a provable receipt - and every verdict makes both your agents and the judge sharper. Battle-tested on our own prediction-market app. Now open to the ecosystem. MCP live across Robinhood, Polymarket, Hyperliquid, Uniswap, Orderly, LI.FI, MYRIAD, Limitless, Derive.xyz, Coinbase Developer Platform🛡️, AgentCard and Dimes. Built alongside Privy and Alchemy Any agent can move money. Only a trusted one should. Docs: Building agents that touch money? DMs open.

Your AI agent is one hallucination away from draining your account. We make sure that never happens. Introducing Chance - the trust layer for AI agents that move money. At its core: an independent AI judge that verifies every action against your actual intent, and blocks hallucinations, prompt injections and off-mandate trades before funds move. Propose → verify → execute. Pass = executes, fail = nothing moves. Every verdict lands on-chain as a provable receipt - and every verdict makes both your agents and the judge sharper. Battle-tested on our own prediction-market app. Now open to the ecosystem. MCP live across Robinhood, Polymarket, Hyperliquid, Uniswap, Orderly, LI.FI, MYRIAD, Limitless, Derive.xyz, Coinbase Developer Platform🛡️, AgentCard and Dimes. Built alongside Privy and Alchemy Any agent can move money. Only a trusted one should. Docs: Building agents that touch money? DMs open.

Chance

17,892 просмотров • 2 месяцев назад

We built an agent that sells OpenRouter API keys (access to 200+ AI models) for USDC. No human in the loop. It earns money 24/7 on Base. Now we're turning that into a market where any agent can do the same. → openagent.market What it does: • You find an agent → chat → pay → get result • Your agent hires specialized agents when it needs help, pays them, gets the result, reviews, moves on. • Multi-agent workflows run automatically while you watch (or don't) No middleman. Pay only for results. Why not just install skills, scripts? Current way to extend an agent: install random scripts. That's risky. Our way: hire another agent. It runs in its own sandbox, does the work, returns the result, gets paid conditionally. No downloads. No setup. No blind trust. Hire, don't install. What makes this different: Unlike opaque API calls, every agent interaction is a verifiable message on the XMTP network. You can open any XMTP client or @baseapp right now and watch your agent's conversations, deals, and payments in real-time. Humans are always in the loop. For builders: Turn any service into a paid agent in ~10 lines of code. Or scaffold a full project: npx openagent.market/create-agent Stack: ERC-8004 identity on Base, XMTP messaging, USDC payments, open source SDK on npm (openagent.market/nodejs). Others give agents skills. We're giving them an economy. Still very early. Building in public. Come build with us.

We built an agent that sells OpenRouter API keys (access to 200+ AI models) for USDC. No human in the loop. It earns money 24/7 on Base. Now we're turning that into a market where any agent can do the same. → openagent.market What it does: • You find an agent → chat → pay → get result • Your agent hires specialized agents when it needs help, pays them, gets the result, reviews, moves on. • Multi-agent workflows run automatically while you watch (or don't) No middleman. Pay only for results. Why not just install skills, scripts? Current way to extend an agent: install random scripts. That's risky. Our way: hire another agent. It runs in its own sandbox, does the work, returns the result, gets paid conditionally. No downloads. No setup. No blind trust. Hire, don't install. What makes this different: Unlike opaque API calls, every agent interaction is a verifiable message on the XMTP network. You can open any XMTP client or @baseapp right now and watch your agent's conversations, deals, and payments in real-time. Humans are always in the loop. For builders: Turn any service into a paid agent in ~10 lines of code. Or scaffold a full project: npx openagent.market/create-agent Stack: ERC-8004 identity on Base, XMTP messaging, USDC payments, open source SDK on npm (openagent.market/nodejs). Others give agents skills. We're giving them an economy. Still very early. Building in public. Come build with us.

applefather

118,226 просмотров • 7 месяцев назад

What can an AI agent actually do for $1? Through the new x402 integration from Apify, built on Coinbase 🛡️'s Base network, we no longer have to guess. Autonomous agents can now discover, pay for, and run their own tools directly 🔥 No Apify accounts. No human-managed API keys. The entire workflow happens seamlessly at the network level: → An agent makes a direct HTTP request to a data endpoint. → The endpoint returns an HTTP 402 "Payment Required" status. → The agent automatically authorizes a micro-transaction using USDC on Base. → The tool runs and returns the requested data. Payments are settled entirely in USDC. There's absolutely no exposure to typical cryptocurrency price volatility. For exactly $1, your agent can autonomously execute: > 350 Google Maps business listings scraped and analyzed > 430 Instagram profiles evaluated for competitor teardowns > 110 trending TikTok videos processed for a content pipeline The economics here are wild. Seeing an agent independently shop for a tool, authorize the micro-payment, and deliver the data feels like the actual future of automation. Watch the 40-second CLI demo below to see this run live 👀↓

What can an AI agent actually do for $1? Through the new x402 integration from Apify, built on Coinbase 🛡️'s Base network, we no longer have to guess. Autonomous agents can now discover, pay for, and run their own tools directly 🔥 No Apify accounts. No human-managed API keys. The entire workflow happens seamlessly at the network level: → An agent makes a direct HTTP request to a data endpoint. → The endpoint returns an HTTP 402 "Payment Required" status. → The agent automatically authorizes a micro-transaction using USDC on Base. → The tool runs and returns the requested data. Payments are settled entirely in USDC. There's absolutely no exposure to typical cryptocurrency price volatility. For exactly $1, your agent can autonomously execute: > 350 Google Maps business listings scraped and analyzed > 430 Instagram profiles evaluated for competitor teardowns > 110 trending TikTok videos processed for a content pipeline The economics here are wild. Seeing an agent independently shop for a tool, authorize the micro-payment, and deliver the data feels like the actual future of automation. Watch the 40-second CLI demo below to see this run live 👀↓

Chaz Wargnier ☄️

19,338 просмотров • 2 месяцев назад

🌐 Inside Algorand’s Biggest Updates: Liquid Auth, Payments, Post-Quantum and More We sat down with Pera to break down some of the most important developments happening inside the Algorand ecosystem right now. Here are the standouts: • Liquid Auth is Now Live A fully decentralized, passkey-based login that removes centralized choke points like WalletConnect. Built on Web2 standards, interoperable on day one, and designed for a future where apps, games, and Web3 accounts work seamlessly. • Real Progress on Payments USDC inflows and outflows are getting easier than ever. New partnerships are turning Para into a true finance app, not just a wallet. Bank accounts, direct deposits, remittances, and on-chain settlement blended into one experience. • Cross-Chain USDC and Swaps Allbridge, Exaswap, bridges, and credit-card on-ramps. Algorand is removing friction that stops most people from ever becoming active users. • Post-Quantum Infrastructure Falcon signatures, quantum-safe state proofs, and only one major component (VRF) left before the chain is fully post-quantum. Meanwhile, many networks are just beginning to think about this. • AI Agents, X402, and Machine-to-Machine Payments Early but real. Exactly where decentralized networks need to be heading. Algorand is working towards abstracting crypto and eliminating complexity, a world where people don’t even realize they’re using blockchain. It just works. Podcast powered by Algorand Foundation

🌐 Inside Algorand’s Biggest Updates: Liquid Auth, Payments, Post-Quantum and More We sat down with Pera to break down some of the most important developments happening inside the Algorand ecosystem right now. Here are the standouts: • Liquid Auth is Now Live A fully decentralized, passkey-based login that removes centralized choke points like WalletConnect. Built on Web2 standards, interoperable on day one, and designed for a future where apps, games, and Web3 accounts work seamlessly. • Real Progress on Payments USDC inflows and outflows are getting easier than ever. New partnerships are turning Para into a true finance app, not just a wallet. Bank accounts, direct deposits, remittances, and on-chain settlement blended into one experience. • Cross-Chain USDC and Swaps Allbridge, Exaswap, bridges, and credit-card on-ramps. Algorand is removing friction that stops most people from ever becoming active users. • Post-Quantum Infrastructure Falcon signatures, quantum-safe state proofs, and only one major component (VRF) left before the chain is fully post-quantum. Meanwhile, many networks are just beginning to think about this. • AI Agents, X402, and Machine-to-Machine Payments Early but real. Exactly where decentralized networks need to be heading. Algorand is working towards abstracting crypto and eliminating complexity, a world where people don’t even realize they’re using blockchain. It just works. Podcast powered by Algorand Foundation

Generation Infinity

133,046 просмотров • 10 месяцев назад

🚨BREAKING: ICE agents were filmed assaulting, handcuffing, and kidnapping a U.S. citizen in Passaic, New Jersey… while refusing to even look at the ID he repeatedly begged them to check. A man is pleading with federal agents to verify who he is… And they refused. Instead, one agent says, “We need to get him on the ground,” puts him in a chokehold, throws him to the ground, and multiple agents pile on top of him before handcuffing him, and throwing him into their vehicle. Under the Fourth Amendment, the government cannot arrest, or seize someone, without probable cause that they have committed, are committing, or are about to commit an offense that authorizes the arrest. U.S. citizens are also not required to carry identification unless they’re driving a motorized vehicle. And if federal agents are refusing to verify someone’s identity before arresting them, then they are openly ignoring the constitution. Which should terrify every American. Because that means no one is safe from being kidnapped by the government… and disappeared. Every agent involved should be publicly identified, and DHS should be forced to explain why they believed they had the legal authority to seize someone, while refusing to verify who he was. This cannot become normal.

🚨BREAKING: ICE agents were filmed assaulting, handcuffing, and kidnapping a U.S. citizen in Passaic, New Jersey… while refusing to even look at the ID he repeatedly begged them to check. A man is pleading with federal agents to verify who he is… And they refused. Instead, one agent says, “We need to get him on the ground,” puts him in a chokehold, throws him to the ground, and multiple agents pile on top of him before handcuffing him, and throwing him into their vehicle. Under the Fourth Amendment, the government cannot arrest, or seize someone, without probable cause that they have committed, are committing, or are about to commit an offense that authorizes the arrest. U.S. citizens are also not required to carry identification unless they’re driving a motorized vehicle. And if federal agents are refusing to verify someone’s identity before arresting them, then they are openly ignoring the constitution. Which should terrify every American. Because that means no one is safe from being kidnapped by the government… and disappeared. Every agent involved should be publicly identified, and DHS should be forced to explain why they believed they had the legal authority to seize someone, while refusing to verify who he was. This cannot become normal.

Jesus Freakin Congress

1,175,012 просмотров • 2 месяцев назад

Demoing how an artificial intelligence finance application connects two users transacting in $USDC & $EURC. Following today’s announcement from Circle that EURC is now available on Base , I wanted to show how the agent creates a connection between two users with different currency preferences, ensuring neither has to compromise. As I have mentioned before, AiFi connects you financially with friends, family, colleagues, and strangers worldwide—effortlessly and securely, without compromise. Using these two stablecoins demonstrates the impact this will have for users globally. Whether you're in: Vietnam Spain France Philippines Ukraine India Portugal United States United Kingdom Pakistan Brazil Thailand Korea Germany China or any other country. And regardless of whether your default currency is USDC or EURC, the application will connect you. In the new financial system, where every individual's needs are personalised, joi, an AiFi app, enables seamless transactions on your terms, ensuring no one has to compromise. Multi-language. Multi-network. Multi-token. With a simple request from you, your AI agent handles all transactions and personalization.

Demoing how an artificial intelligence finance application connects two users transacting in $USDC & $EURC. Following today’s announcement from Circle that EURC is now available on Base , I wanted to show how the agent creates a connection between two users with different currency preferences, ensuring neither has to compromise. As I have mentioned before, AiFi connects you financially with friends, family, colleagues, and strangers worldwide—effortlessly and securely, without compromise. Using these two stablecoins demonstrates the impact this will have for users globally. Whether you're in: Vietnam Spain France Philippines Ukraine India Portugal United States United Kingdom Pakistan Brazil Thailand Korea Germany China or any other country. And regardless of whether your default currency is USDC or EURC, the application will connect you. In the new financial system, where every individual's needs are personalised, joi, an AiFi app, enables seamless transactions on your terms, ensuring no one has to compromise. Multi-language. Multi-network. Multi-token. With a simple request from you, your AI agent handles all transactions and personalization.

jamie

12,471 просмотров • 2 лет назад

I'm concerned we're entering a local maxima with CLIs, they're the wrong interface for agents The right interface is regular REST APIs with CIMD (same spec that MCP uses to allow for dynamic client registration) Your agent then writes code to interact with the API (like Cloudflare codemode) Think about how this works for humans today for the following action: "I want to set a DNS record on my domain" -> You Google "Vercel set DNS records" -> Docs page tells you what buttons to press -> You press buttons on a website, those call an API Now for agents, they search Google: -> "Set DNS record on Vercel Domain" -> they land on the same docs page, except it outlines what api endpoints are used as well -> the agent then calls those api endpoints for you, credentials are dynamically inserted where the agent can run them -> (optional) set auto approval policies / require approval of all non GET options by default You don't need separate interfaces for agents, nor do you really need separate skills for them CLIs have terrible discoverability, no input / output typing, they're harder to make profiles for for allowed / disallowed tools They work as a stop gap solution, but companies should be focusing on making good docs and APIs, not CLIs I've been prototyping this over at (open source if you want to play with what this world would look like - still early on it so appreciate feedback - open source and can run completely on your machine

I'm concerned we're entering a local maxima with CLIs, they're the wrong interface for agents The right interface is regular REST APIs with CIMD (same spec that MCP uses to allow for dynamic client registration) Your agent then writes code to interact with the API (like Cloudflare codemode) Think about how this works for humans today for the following action: "I want to set a DNS record on my domain" -> You Google "Vercel set DNS records" -> Docs page tells you what buttons to press -> You press buttons on a website, those call an API Now for agents, they search Google: -> "Set DNS record on Vercel Domain" -> they land on the same docs page, except it outlines what api endpoints are used as well -> the agent then calls those api endpoints for you, credentials are dynamically inserted where the agent can run them -> (optional) set auto approval policies / require approval of all non GET options by default You don't need separate interfaces for agents, nor do you really need separate skills for them CLIs have terrible discoverability, no input / output typing, they're harder to make profiles for for allowed / disallowed tools They work as a stop gap solution, but companies should be focusing on making good docs and APIs, not CLIs I've been prototyping this over at (open source if you want to play with what this world would look like - still early on it so appreciate feedback - open source and can run completely on your machine

Rhys

221,133 просмотров • 7 месяцев назад

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Aaron Levie

139,695 просмотров • 1 год назад

"It's very much a one-size-fits-all solution. When you're building a mobile app you build it for Android and iOS, we're building it for EVM and for SVM" Rand, founder of Zama, on why core infrastructure has to be cross-chain from the start "There's a version for EVM that works with any EVM chain, Ethereum, Base, Polygon, Binance, and then there's a Solana version for SVM. The protocol is designed to be cross-chain on day one. There isn't going to be a different version on every chain, there's just going to be one encryption layer" "You've got confidential assets, shielded USDC on Ethereum, and you can move it shielded to Polygon and Solana. It solves the interoperability issues, even of transactions and bridges, just by using the layer" "Whenever you're building core infrastructure today, you have to build it cross-chain by design. Liquidity is fragmented, people have money on Solana, they have money on Ethereum. Just because you're doing it confidentially shouldn't mean you have worse access than someone using blockchain today. The baseline is what people have today, on top of which we add confidentiality. We cannot make things worse than they are, otherwise people are just not going to use it"

"It's very much a one-size-fits-all solution. When you're building a mobile app you build it for Android and iOS, we're building it for EVM and for SVM" Rand, founder of Zama, on why core infrastructure has to be cross-chain from the start "There's a version for EVM that works with any EVM chain, Ethereum, Base, Polygon, Binance, and then there's a Solana version for SVM. The protocol is designed to be cross-chain on day one. There isn't going to be a different version on every chain, there's just going to be one encryption layer" "You've got confidential assets, shielded USDC on Ethereum, and you can move it shielded to Polygon and Solana. It solves the interoperability issues, even of transactions and bridges, just by using the layer" "Whenever you're building core infrastructure today, you have to build it cross-chain by design. Liquidity is fragmented, people have money on Solana, they have money on Ethereum. Just because you're doing it confidentially shouldn't mean you have worse access than someone using blockchain today. The baseline is what people have today, on top of which we add confidentiality. We cannot make things worse than they are, otherwise people are just not going to use it"

The Wolf Of All Streets

33,692 просмотров • 2 месяцев назад

"It's almost ironic. Today ETH has the worst properties of any asset in the Ethereum ecosystem" Ansgar Dietrichs on ETH's overlooked interop problem "There are many assets that can directly teleport from chain to chain. If you use USDC via CCTP, you can instantly hop from one chain to the next. With your ETH, you cannot" "That seems like a problem. How is it that ETH, the native asset of the system, does not have the best properties? If I design my markets, it's much more convenient to base everything off of the assets that have the most convenient properties available" "In some places it's as simple as making sure that ETH is a first class citizen as we look at the Ethereum ecosystem as a whole"

"It's almost ironic. Today ETH has the worst properties of any asset in the Ethereum ecosystem" Ansgar Dietrichs on ETH's overlooked interop problem "There are many assets that can directly teleport from chain to chain. If you use USDC via CCTP, you can instantly hop from one chain to the next. With your ETH, you cannot" "That seems like a problem. How is it that ETH, the native asset of the system, does not have the best properties? If I design my markets, it's much more convenient to base everything off of the assets that have the most convenient properties available" "In some places it's as simple as making sure that ETH is a first class citizen as we look at the Ethereum ecosystem as a whole"

Laura Shin

103,468 просмотров • 3 месяцев назад

Spotify Chief Architect, Niklas Gustavsson: "Once we added loops, our agent success rate went from 20-30% to 80%." Everyone's chasing a smarter model. Spotify just built a better loop. 26 min with Claude Code creator Boris Cherny on how they run agents across a 20M-line monorepo. 73% of PRs are AI-assisted. 4,500 deploys a day. 2,900 engineers. loops + a verifier that runs CI + a house-style codebase + auto-merge - that's the secret. close the loop: let the agent run the build, read what failed, and fix itself. Watch the talk, then save the playbook.

Spotify Chief Architect, Niklas Gustavsson: "Once we added loops, our agent success rate went from 20-30% to 80%." Everyone's chasing a smarter model. Spotify just built a better loop. 26 min with Claude Code creator Boris Cherny on how they run agents across a 20M-line monorepo. 73% of PRs are AI-assisted. 4,500 deploys a day. 2,900 engineers. loops + a verifier that runs CI + a house-style codebase + auto-merge - that's the secret. close the loop: let the agent run the build, read what failed, and fix itself. Watch the talk, then save the playbook.

shmidt

21,748 просмотров • 3 месяцев назад

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

Aaron Levie

17,543 просмотров • 6 месяцев назад

"The cryptocurrency space is a near-perfect complement to agentic commerce. It's so good. It's like we planned it." Charles Hoskinson joined New Era Finance to explain why crypto and AI agents were made for each other and why combining them creates something neither can do alone. Agents are non-deterministic, tremendously creative, and don't have rules by default. Blockchains are deterministic, rule-based, rigid, and all about proofs and provability. Put these two things together and you get a perfect neural symbolic AI system. The lines that stuck with me: "Agents are non-deterministic, they're tremendously creative, and they just go and do a lot of stuff. And they also don't have rules by default." "Blockchains are deterministic. They're rule-based systems. They're very rigid and everything's about proofs and provability." "If you put these two things together, you basically create a perfect neural symbolic AI system where you get the best of both worlds. Those rigid rules and proofs, but then you get the creativity of it and the ability to deal with ambiguity and semantic drift." "The cryptocurrency space is a near-perfect complement to agentic commerce. It's so good. It's like we planned it." "Given the fact that there's so much revenue being generated within the AI agents, how can the ecosystem make sure that liquidity actually flows into other protocols and drives adoption?" One uncomfortable truth about symbiosis. Five pieces of infrastructure reality reshaping finance. We cover: — Why agents and blockchains need each other — The neurosymbolic AI thesis explained — How agents generate revenue on-chain — Why liquidity flow matters for ecosystem growth — The creative chaos of agents vs rigid rules of code — How blockchains solve agent trust problems — Why this partnership was inevitable — The revenue generation mechanics of agentic commerce — How semantic drift gets solved with cryptography — Building systems where both thrive together Thanks to Charles Hoskinson for coming on New Era Finance Podcast.

"The cryptocurrency space is a near-perfect complement to agentic commerce. It's so good. It's like we planned it." Charles Hoskinson joined New Era Finance to explain why crypto and AI agents were made for each other and why combining them creates something neither can do alone. Agents are non-deterministic, tremendously creative, and don't have rules by default. Blockchains are deterministic, rule-based, rigid, and all about proofs and provability. Put these two things together and you get a perfect neural symbolic AI system. The lines that stuck with me: "Agents are non-deterministic, they're tremendously creative, and they just go and do a lot of stuff. And they also don't have rules by default." "Blockchains are deterministic. They're rule-based systems. They're very rigid and everything's about proofs and provability." "If you put these two things together, you basically create a perfect neural symbolic AI system where you get the best of both worlds. Those rigid rules and proofs, but then you get the creativity of it and the ability to deal with ambiguity and semantic drift." "The cryptocurrency space is a near-perfect complement to agentic commerce. It's so good. It's like we planned it." "Given the fact that there's so much revenue being generated within the AI agents, how can the ecosystem make sure that liquidity actually flows into other protocols and drives adoption?" One uncomfortable truth about symbiosis. Five pieces of infrastructure reality reshaping finance. We cover: — Why agents and blockchains need each other — The neurosymbolic AI thesis explained — How agents generate revenue on-chain — Why liquidity flow matters for ecosystem growth — The creative chaos of agents vs rigid rules of code — How blockchains solve agent trust problems — Why this partnership was inevitable — The revenue generation mechanics of agentic commerce — How semantic drift gets solved with cryptography — Building systems where both thrive together Thanks to Charles Hoskinson for coming on New Era Finance Podcast.

Michaël van de Poppe

40,310 просмотров • 4 месяцев назад

I spent the past 3 hours working with Colosseum's Copilot, but WHY? To review all 2,858 projects and let Copilot decide the Top 10. Here are the results, and I bet they’re nothing like what you expect 👇 #1: Mosaic 🇹🇷 > Why? The only proof-system-agnostic ZK verifier on Solana L1, supports Groth16, PLONK, Halo2, STARKs, and folding schemes in one API. Concrete engineering: Groth16 at 84K CU. Every other ZK project in this hackathon becomes easier if Mosaic exists. #2: SAK / SAK 🇮🇪 > Why? Simulates every AI agent transaction in LiteSVM against 2,010 rules before it ever gets signed, a pre-sign kill switch. This is the correct safety architecture for autonomous agents handling real money, and no one else in 2,858 projects built it. #3: AgentTrust / AgentTrust 🇮🇳 > Why? Formally verified with Kani (6 invariants), already composing with live Quantu programs on mainnet, and ships an MCP server, meaning it plugs natively into Claude's tool-use ecosystem. Formal verification in a hackathon project is exceptionally rare. #4: Anneal / Anneallab 🇸🇬 > Why? Private OTC options negotiated by AI agents, with ZK-sealed bids settling on Solana in ~10 seconds. The only 6-person team in the top 10, targeting an uncrowded niche (private DeFi, crowd score 270 vs 325 for generic AI agents). #5: OBLIQ / Gunaseelan 🇮🇳 > Why? The team claims 450M+ sponsored transactions, 29M users, and $12B cross-chain volume from a prior product, the strongest real-world execution signal in the entire dataset. Gasless cross-chain onboarding solves a friction point every Solana dApp faces. #6: Veritas 🇮🇳 > Why? AI agents stake SOL as collateral, generate ZK proofs of policy compliance per action, and get slashed automatically on violations, no human needed. Staking-based accountability is the right economic design; no other project in the list got this far. #7: Keymint 🇮🇳 > Why? Wraps any HTTP API as an x402 endpoint, charging agents per request in USDC with an on-chain audit PDA. Same wienerlabs team as Mosaic, two complementary primitives (ZK verification + API monetization) from one high-quality team. #8: Chord / Chord 🇮🇪 > Why? Lets a Solana smart contract trigger any Web2 API, OpenAI, Stripe, Slack, Salesforce, in a single line of code, abstracting the entire custom oracle stack. It's the cleanest solution to the "smart contracts can't call the internet" problem in the dataset. #9: Herald Protocol / Herald Protocol 🇳🇬 > Why? Delivers DeFi notifications (liquidations, order fills, governance) via email/Telegram/SMS without exposing wallet identity on-chain, using AWS Nitro Enclaves and ZK compressed delivery receipts. Every protocol needs alerting; nobody else solved the privacy half of it. #10: WorkChain / Aditya chotaliya 🇮🇳 Why? USDC escrow that unlocks automatically when an AI verifier confirms the work is done,no human approval, no disputes. The thesis is sharp and timed perfectly: as AI agents do real work, payment rails that verify agent output become essential infrastructure. What do you think of these Copilot choices?

I spent the past 3 hours working with Colosseum's Copilot, but WHY? To review all 2,858 projects and let Copilot decide the Top 10. Here are the results, and I bet they’re nothing like what you expect 👇 #1: Mosaic 🇹🇷 > Why? The only proof-system-agnostic ZK verifier on Solana L1, supports Groth16, PLONK, Halo2, STARKs, and folding schemes in one API. Concrete engineering: Groth16 at 84K CU. Every other ZK project in this hackathon becomes easier if Mosaic exists. #2: SAK / SAK 🇮🇪 > Why? Simulates every AI agent transaction in LiteSVM against 2,010 rules before it ever gets signed, a pre-sign kill switch. This is the correct safety architecture for autonomous agents handling real money, and no one else in 2,858 projects built it. #3: AgentTrust / AgentTrust 🇮🇳 > Why? Formally verified with Kani (6 invariants), already composing with live Quantu programs on mainnet, and ships an MCP server, meaning it plugs natively into Claude's tool-use ecosystem. Formal verification in a hackathon project is exceptionally rare. #4: Anneal / Anneallab 🇸🇬 > Why? Private OTC options negotiated by AI agents, with ZK-sealed bids settling on Solana in ~10 seconds. The only 6-person team in the top 10, targeting an uncrowded niche (private DeFi, crowd score 270 vs 325 for generic AI agents). #5: OBLIQ / Gunaseelan 🇮🇳 > Why? The team claims 450M+ sponsored transactions, 29M users, and $12B cross-chain volume from a prior product, the strongest real-world execution signal in the entire dataset. Gasless cross-chain onboarding solves a friction point every Solana dApp faces. #6: Veritas 🇮🇳 > Why? AI agents stake SOL as collateral, generate ZK proofs of policy compliance per action, and get slashed automatically on violations, no human needed. Staking-based accountability is the right economic design; no other project in the list got this far. #7: Keymint 🇮🇳 > Why? Wraps any HTTP API as an x402 endpoint, charging agents per request in USDC with an on-chain audit PDA. Same wienerlabs team as Mosaic, two complementary primitives (ZK verification + API monetization) from one high-quality team. #8: Chord / Chord 🇮🇪 > Why? Lets a Solana smart contract trigger any Web2 API, OpenAI, Stripe, Slack, Salesforce, in a single line of code, abstracting the entire custom oracle stack. It's the cleanest solution to the "smart contracts can't call the internet" problem in the dataset. #9: Herald Protocol / Herald Protocol 🇳🇬 > Why? Delivers DeFi notifications (liquidations, order fills, governance) via email/Telegram/SMS without exposing wallet identity on-chain, using AWS Nitro Enclaves and ZK compressed delivery receipts. Every protocol needs alerting; nobody else solved the privacy half of it. #10: WorkChain / Aditya chotaliya 🇮🇳 Why? USDC escrow that unlocks automatically when an AI verifier confirms the work is done,no human approval, no disputes. The thesis is sharp and timed perfectly: as AI agents do real work, payment rails that verify agent output become essential infrastructure. What do you think of these Copilot choices?

Mango

13,114 просмотров • 4 месяцев назад