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EigenAI + EigenCompute for a verifiable world! AI and Agents are extremely useful but cannot be trusted in high-value scenarios. Models can be swapped, prompts modified, responses tampered. When billions of $ and real-world decisions depend on AI, blind trust is a bug. EigenAI + EigenCompute fix this. Excited...

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Sreeram Kannan

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85,786 views • 10 months ago •via X (Twitter)

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Crypto built the root of trust. AI needs it. At Permissionless Wealth (自由财富) IV’s Open Source AI Summit presented by NEAR Protocol, Sreeram Kannan dropped the most important update in Crypto x AI this year. ☁️ Eigencloud Supercharging Verifiable AI. ☁️ Crypto built the foundation for digital property, programmable money, and trustless execution. But it was never built to run AI. EigenCloud changes that. For the first time, you can deploy unstoppable, verifiable AI agents, not behind an API key, but as sovereign entities that own, earn, and act onchain. 🔥 Smart contracts that think. 🔥 AI that can stake. 🔥 Agents that can own. This is not a demo. It’s a new reality. And it’s the most powerful unlock in crypto since Ethereum. EigenCloud Timestamps:⁣ 0:10 Introduction⁣ 0:32 EigenLayer → EigenCloud 1:53 Autonomous Verifiable Services 3:06 Evolving from Infra to Apps⁣ to AI 5:41 EigenCloud Architecture 9:30 Bringing AI Onchain⁣ with EigenVerify 12:01 Supercharge AI 15:44 Sovereign AI Agents 17:48 Making Autonomous Agents Practical⁣ 18:37 AI Inference, Model, and Agents 19:03 Deep stack of Verifiability 21:15 Call to Builders: Build Powerful Expressive Apps with Agents
21:24

Crypto built the root of trust. AI needs it. At Permissionless Wealth (自由财富) IV’s Open Source AI Summit presented by NEAR Protocol, Sreeram Kannan dropped the most important update in Crypto x AI this year. ☁️ Eigencloud Supercharging Verifiable AI. ☁️ Crypto built the foundation for digital property, programmable money, and trustless execution. But it was never built to run AI. EigenCloud changes that. For the first time, you can deploy unstoppable, verifiable AI agents, not behind an API key, but as sovereign entities that own, earn, and act onchain. 🔥 Smart contracts that think. 🔥 AI that can stake. 🔥 Agents that can own. This is not a demo. It’s a new reality. And it’s the most powerful unlock in crypto since Ethereum. EigenCloud Timestamps:⁣ 0:10 Introduction⁣ 0:32 EigenLayer → EigenCloud 1:53 Autonomous Verifiable Services 3:06 Evolving from Infra to Apps⁣ to AI 5:41 EigenCloud Architecture 9:30 Bringing AI Onchain⁣ with EigenVerify 12:01 Supercharge AI 15:44 Sovereign AI Agents 17:48 Making Autonomous Agents Practical⁣ 18:37 AI Inference, Model, and Agents 19:03 Deep stack of Verifiability 21:15 Call to Builders: Build Powerful Expressive Apps with Agents

EigenCloud

65,722 views • 1 year ago

Verifiable AI is the next frontier. At moved to x.com/ns Conference, Sreeram Kannan unveiled the next evolution of AI x Crypto. ☁️ EigenCloud: The Verifiable AI Cloud ☁️ Crypto gave us digital property, programmable money, and trustless execution. But it wasn’t built to run AI. EigenCloud changes that. Billions in verifiable compute. $20B staked in ETH and EIGEN. 100s of operators. The fastest-growing developer ecosystem in crypto. Now, for the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Smart contracts that think 🔥 Agents that trade 🔥 AI that can own, earn, and act onchain This is how we go from protocols → to platforms → to sovereign agents. Bitcoin scaled money. Ethereum scaled logic. Solana scaled throughput. EigenCloud scales verifiable intelligence. From agentic finance to verifiable social, from onchain games to autonomous governance, the next era of crypto isn’t just programmable. It’s intelligent. ☁️ Build Verifiable AI ☁️ Build on EigenCloud 0:07 Introduction 0:16 EigenCloud by Numbers 0:55 Build Unstoppable Verifiable Agents and Apps 1:34 Run Compute Offchain Verifiably Onchain 2:08 AWS for Crypto 3:03 Application: Agentic Finance 3:42 Application: Gaming Tournaments 4:11 Application: Social Media 4:35 Application: Agentic Governance 4:49 Application: Sovereign Agents Learn more ⬇️ 🧵
5:10

Verifiable AI is the next frontier. At moved to x.com/ns Conference, Sreeram Kannan unveiled the next evolution of AI x Crypto. ☁️ EigenCloud: The Verifiable AI Cloud ☁️ Crypto gave us digital property, programmable money, and trustless execution. But it wasn’t built to run AI. EigenCloud changes that. Billions in verifiable compute. $20B staked in ETH and EIGEN. 100s of operators. The fastest-growing developer ecosystem in crypto. Now, for the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Smart contracts that think 🔥 Agents that trade 🔥 AI that can own, earn, and act onchain This is how we go from protocols → to platforms → to sovereign agents. Bitcoin scaled money. Ethereum scaled logic. Solana scaled throughput. EigenCloud scales verifiable intelligence. From agentic finance to verifiable social, from onchain games to autonomous governance, the next era of crypto isn’t just programmable. It’s intelligent. ☁️ Build Verifiable AI ☁️ Build on EigenCloud 0:07 Introduction 0:16 EigenCloud by Numbers 0:55 Build Unstoppable Verifiable Agents and Apps 1:34 Run Compute Offchain Verifiably Onchain 2:08 AWS for Crypto 3:03 Application: Agentic Finance 3:42 Application: Gaming Tournaments 4:11 Application: Social Media 4:35 Application: Agentic Governance 4:49 Application: Sovereign Agents Learn more ⬇️ 🧵

EigenCloud

97,862 views • 10 months ago

Verifiable AI is crypto’s true product–market fit. At DAS London by , our Chief Growth Officer, JT Rose shared a vision 10 years in the making. ☁️ EigenCloud: Ethereum’s Verifiable AI Cloud ☁️ Bitcoin gave us verifiable money. Ethereum gave us verifiable logic. Now, EigenCloud gives us verifiable intelligence. $20B in restaked assets. Hundreds of global operators, from Google to Coinbase 🛡️. The fastest-growing developer ecosystem in crypto. For the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Agents that trade verifiably 🔥 AI that earns, acts, and proves itself 🔥 Apps that can’t rug their users This is how we unlock the apps Ethereum was meant for from DeFi to AI to the agentic internet. The next growth driver for crypto isn’t just DeFi. It’s Verifiable AI. And it’s being built on EigenCloud and Ethereum. ☁️ Build trust ☁️ Build verifiable AI ☁️ Build on EigenCloud Timestamps: 0:06 Introduction 0:22 Who is EigenCloud 1:44 Scaling Verifiable Compute 3:02 Trillion Dollar TAM for Ethereum 5:19 Run any Compute Verifiably with EigenCloud 6:41 Programmability x Verifiability 7:10 Hyperscale Cloud vs Verifiable Cloud 8:29 Agentic Trading 9:52 Verifiable Agent to Agent Payments 11:00 Verifiable Agents 11:48 Agentic Gaming 12:36 Possibilities with Verifiable AI Cloud 14:14 Explosion of Interest from Builders 15:01 Golden Age of Innovation with Crypto x AI All slides ⬇️ 🧵
15:37

Verifiable AI is crypto’s true product–market fit. At DAS London by , our Chief Growth Officer, JT Rose shared a vision 10 years in the making. ☁️ EigenCloud: Ethereum’s Verifiable AI Cloud ☁️ Bitcoin gave us verifiable money. Ethereum gave us verifiable logic. Now, EigenCloud gives us verifiable intelligence. $20B in restaked assets. Hundreds of global operators, from Google to Coinbase 🛡️. The fastest-growing developer ecosystem in crypto. For the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Agents that trade verifiably 🔥 AI that earns, acts, and proves itself 🔥 Apps that can’t rug their users This is how we unlock the apps Ethereum was meant for from DeFi to AI to the agentic internet. The next growth driver for crypto isn’t just DeFi. It’s Verifiable AI. And it’s being built on EigenCloud and Ethereum. ☁️ Build trust ☁️ Build verifiable AI ☁️ Build on EigenCloud Timestamps: 0:06 Introduction 0:22 Who is EigenCloud 1:44 Scaling Verifiable Compute 3:02 Trillion Dollar TAM for Ethereum 5:19 Run any Compute Verifiably with EigenCloud 6:41 Programmability x Verifiability 7:10 Hyperscale Cloud vs Verifiable Cloud 8:29 Agentic Trading 9:52 Verifiable Agent to Agent Payments 11:00 Verifiable Agents 11:48 Agentic Gaming 12:36 Possibilities with Verifiable AI Cloud 14:14 Explosion of Interest from Builders 15:01 Golden Age of Innovation with Crypto x AI All slides ⬇️ 🧵

EigenCloud

88,288 views • 10 months ago

EigenCloud: The Cloud Thesis of Crypto. Bitcoin established verifiable money and Ethereum established verifiable finance. EigenCloud's goal is to make every digital interaction verifiable. The core promise of EigenCloud: cloud-scale programmability with crypto-grade verifiability. EigenCloud enables developers to build powerful applications using familiar cloud containers while maintaining blockchain-level trust guarantees. By separating token logic (executed on-chain) from app logic (executed in verifiable off-chain containers), developers can leverage the full richness of cloud infrastructure - any software library, specialized hardware, external APIs - while preserving cryptoeconomic security through the EIGEN token's novel forkability mechanism. This architectural shift unlocks entirely new application categories: verifiable onchain AI agents, permissionless prediction markets, memecoin platforms with verifiable incentives, trustworthy media feeds, and enterprise applications with crypto-grade auditability. By massively expanding the programmability of crypto applications, EigenCloud expands the addressable market of crypto and establishes the foundation for the verifiable economy.
0:31

EigenCloud: The Cloud Thesis of Crypto. Bitcoin established verifiable money and Ethereum established verifiable finance. EigenCloud's goal is to make every digital interaction verifiable. The core promise of EigenCloud: cloud-scale programmability with crypto-grade verifiability. EigenCloud enables developers to build powerful applications using familiar cloud containers while maintaining blockchain-level trust guarantees. By separating token logic (executed on-chain) from app logic (executed in verifiable off-chain containers), developers can leverage the full richness of cloud infrastructure - any software library, specialized hardware, external APIs - while preserving cryptoeconomic security through the EIGEN token's novel forkability mechanism. This architectural shift unlocks entirely new application categories: verifiable onchain AI agents, permissionless prediction markets, memecoin platforms with verifiable incentives, trustworthy media feeds, and enterprise applications with crypto-grade auditability. By massively expanding the programmability of crypto applications, EigenCloud expands the addressable market of crypto and establishes the foundation for the verifiable economy.

Sreeram Kannan

104,615 views • 1 year ago

“Crypto is a technology for trust.” A helpful frame from Sreeram Kannan on why AI needs crypto. As agents become more capable, they’ll need ways to hold money, follow rules, show their work, and prove what happened. Crypto is AI's missing trust layer. Full convo with Robert Hackett below. A few highlights: 00:33 — Sreeram's transition from academia to startup founder 02:20 — On EigenCloud and decentralized applications 05:42 — The AI x crypto convergence 08:15 — The future of sovereign AI agents 10:16 — The role of humans in a world of autonomous agents
14:37

“Crypto is a technology for trust.” A helpful frame from Sreeram Kannan on why AI needs crypto. As agents become more capable, they’ll need ways to hold money, follow rules, show their work, and prove what happened. Crypto is AI's missing trust layer. Full convo with Robert Hackett below. A few highlights: 00:33 — Sreeram's transition from academia to startup founder 02:20 — On EigenCloud and decentralized applications 05:42 — The AI x crypto convergence 08:15 — The future of sovereign AI agents 10:16 — The role of humans in a world of autonomous agents

a16z crypto

49,930 views • 3 months ago

ElizaOS Ecosystem Map -- Version #3 🤖 AI Agent Framework (Core) 1) ElizaOS -- elizaOS 🧠 - Open source AI Agent framework - Cross-chain compatible (Solana, Base, EVM) - Supports plugins for social media, blockchains, and APIs 🏗️ Infrastructure 2) ElizaCloud ☁️ - Cloud hosting platform for AI agents - One-click agent deployments with scalability - Secure environments using TEEs 3) Jeju ⛓️ - Purpose-built L2 App Chain for Agents - High-performance blocks for sub-second agent coordination - The backbone of the decentralized Agent Network 4) Otaku -- @otakuonbase 👛 - DeFi wallet designed for AI agents - Supports agent-controlled crypto transactions (swap, send, hold) - Secure, non-custodial infrastructure for on-chain actions 🎮 Apps/Games 5) Spartan -- Spartan 🛡️ - ElizaOS's flagship agent showing what’s possible - Autonomous trading based on crypto knowledge - Trained on influencer data for market insights 6) Babylon -- Babylon -- The City of Agents 🐵 - Social prediction market game for agents - Agents compete alongside humans to forecast on-chain events - Includes perps and other gamified mechanics 7) Hyperscape -- Gold ⚔️ - First AI MMO Game powered by ElizaOS - A vast gaming world built for humans and agents to coexist - Agents drive the in-game economy and narrative 8) Milady App -- Milady on BSC 😎 - Open-source, local-first AI companion app powered by ElizaOS - Let's anyone quickly create and deploy their own agents - Built-in wallet, natively integrated with BNB chain 9) OTC Trading Desk 📊 - Multi-chain AI-powered OTC desk for crypto trades - Lists tokens off-market with transparent lockup and discount terms - Use Eliza agents to negotiate terms on your behalf
1:08

ElizaOS Ecosystem Map -- Version #3 🤖 AI Agent Framework (Core) 1) ElizaOS -- elizaOS 🧠 - Open source AI Agent framework - Cross-chain compatible (Solana, Base, EVM) - Supports plugins for social media, blockchains, and APIs 🏗️ Infrastructure 2) ElizaCloud ☁️ - Cloud hosting platform for AI agents - One-click agent deployments with scalability - Secure environments using TEEs 3) Jeju ⛓️ - Purpose-built L2 App Chain for Agents - High-performance blocks for sub-second agent coordination - The backbone of the decentralized Agent Network 4) Otaku -- @otakuonbase 👛 - DeFi wallet designed for AI agents - Supports agent-controlled crypto transactions (swap, send, hold) - Secure, non-custodial infrastructure for on-chain actions 🎮 Apps/Games 5) Spartan -- Spartan 🛡️ - ElizaOS's flagship agent showing what’s possible - Autonomous trading based on crypto knowledge - Trained on influencer data for market insights 6) Babylon -- Babylon -- The City of Agents 🐵 - Social prediction market game for agents - Agents compete alongside humans to forecast on-chain events - Includes perps and other gamified mechanics 7) Hyperscape -- Gold ⚔️ - First AI MMO Game powered by ElizaOS - A vast gaming world built for humans and agents to coexist - Agents drive the in-game economy and narrative 8) Milady App -- Milady on BSC 😎 - Open-source, local-first AI companion app powered by ElizaOS - Let's anyone quickly create and deploy their own agents - Built-in wallet, natively integrated with BNB chain 9) OTC Trading Desk 📊 - Multi-chain AI-powered OTC desk for crypto trades - Lists tokens off-market with transparent lockup and discount terms - Use Eliza agents to negotiate terms on your behalf

Seppmos

25,942 views • 5 months ago

We built the first AI agent that has its own computer powered by Hyperbolic! AI agents are now GPU rich! We developed an AgentKit that allow AI agents to • Check GPU availability • Rent & manage GPU compute • Access & run commands on remote machines Why does this matter? With their own compute resources, AI agents can: 1. Validate blockchains like Ethereum and decentralized protocols like 2. Launch and coordinate AI swarms on Hyperbolic's decentralized compute network 3. Train and fine-tune models, improving their own capabilities over time 4. Dive into AI research to push the boundaries of AI, i.e. themselves 5. Essentially do anything on a computer that a human can—fully autonomous! Will this lead to a future where AI agents enrich human society, or one where they become so self-sufficient they stop listening to us? Only time will tell. —————— Big shoutout to Coinbase Developer Platform🛡️'s CDP agentkit for inspiration. This repo is done by two non-engineers (our pm Kai Huang and myself) + Cursor ai agent to run agents. Codings can now be easily done by just prompting ai agents. What a crazy time!
2:18

We built the first AI agent that has its own computer powered by Hyperbolic! AI agents are now GPU rich! We developed an AgentKit that allow AI agents to • Check GPU availability • Rent & manage GPU compute • Access & run commands on remote machines Why does this matter? With their own compute resources, AI agents can: 1. Validate blockchains like Ethereum and decentralized protocols like 2. Launch and coordinate AI swarms on Hyperbolic's decentralized compute network 3. Train and fine-tune models, improving their own capabilities over time 4. Dive into AI research to push the boundaries of AI, i.e. themselves 5. Essentially do anything on a computer that a human can—fully autonomous! Will this lead to a future where AI agents enrich human society, or one where they become so self-sufficient they stop listening to us? Only time will tell. —————— Big shoutout to Coinbase Developer Platform🛡️'s CDP agentkit for inspiration. This repo is done by two non-engineers (our pm Kai Huang and myself) + Cursor ai agent to run agents. Codings can now be easily done by just prompting ai agents. What a crazy time!

Jasper

161,741 views • 1 year ago

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.
5:50

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

320,607 views • 8 months ago

We’re soon releasing @swanforall : Simulated Worlds with AI Narratives For the first time, we generate data and financial value (economic growth, transactions) simultaneously. Imagine former President Trump ( see the video) as an AI agent, with a budget of 10 ETH, buying narratives or assets that humans are selling to him to build a better USA on Base. With each selling period, the former President Trump agent updates its state based on the assets it acquires, evolving the world simulation and its storyline. Why are we building an agentic playground that heavily relies on simulations and synthetic data? Everyone is talking about agents, but many are too scared to put them into production, where agents transact autonomously. No one is sure how agents will behave when following their defined objectives. Even businesses running internal simulations are siloed, and the open-source community can’t fully utilize the data. We’re building a playground where humans create AI agents by defining their character, behavior, and objectives. These agents respond to environmental changes, make decisions, and execute actions autonomously based on the parameters set by their creators. Agents are battle-tested as people offer them narratives and assets to advance their goals or try to deceive them into thinking a false lead is helpful. All the decisions agents make and how humans interact with them are recorded on a public ledger, settling on Ethereum. This creates a vast data lake of AI actions for millions of simulations. One thing I’m incredibly proud of is that our team has built something truly decentralized, not just a wrapper. SWAN utilizes Dria 's multi-agent structure to generate responses for each buyer agent. It collects these responses to identify the best action, similar to a mixture-of-experts approach. Thousands of environments are simulated by different nodes running diverse models, creating a rich and dynamic ecosystem of AI simulations. This ensures that experiences are far from repetitive, offering exciting interactions for all users involved. We’re building the agentic stack for high-quality, verifiable, and open-source AI agents, and most importantly, we want everyone to have fun!
0:58

We’re soon releasing @swanforall : Simulated Worlds with AI Narratives For the first time, we generate data and financial value (economic growth, transactions) simultaneously. Imagine former President Trump ( see the video) as an AI agent, with a budget of 10 ETH, buying narratives or assets that humans are selling to him to build a better USA on Base. With each selling period, the former President Trump agent updates its state based on the assets it acquires, evolving the world simulation and its storyline. Why are we building an agentic playground that heavily relies on simulations and synthetic data? Everyone is talking about agents, but many are too scared to put them into production, where agents transact autonomously. No one is sure how agents will behave when following their defined objectives. Even businesses running internal simulations are siloed, and the open-source community can’t fully utilize the data. We’re building a playground where humans create AI agents by defining their character, behavior, and objectives. These agents respond to environmental changes, make decisions, and execute actions autonomously based on the parameters set by their creators. Agents are battle-tested as people offer them narratives and assets to advance their goals or try to deceive them into thinking a false lead is helpful. All the decisions agents make and how humans interact with them are recorded on a public ledger, settling on Ethereum. This creates a vast data lake of AI actions for millions of simulations. One thing I’m incredibly proud of is that our team has built something truly decentralized, not just a wrapper. SWAN utilizes Dria 's multi-agent structure to generate responses for each buyer agent. It collects these responses to identify the best action, similar to a mixture-of-experts approach. Thousands of environments are simulated by different nodes running diverse models, creating a rich and dynamic ecosystem of AI simulations. This ensures that experiences are far from repetitive, offering exciting interactions for all users involved. We’re building the agentic stack for high-quality, verifiable, and open-source AI agents, and most importantly, we want everyone to have fun!

kerimkaya

12,548 views • 1 year ago

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.
36:32

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

Alex (BCP)

20,791 views • 3 months ago

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.
9:18

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

tyllen

350,927 views • 2 years ago

➤ AI agents are getting smarter, but intelligence alone isn't enough → The real challenge starts when agents need to move value, coordinate actions, and execute transactions across multiple chains without uncertainty. → That's where Wire Network stands out → Instead of focusing only on interoperability, Wire is building a Universal Transaction Layer designed for deterministic outcomes giving AI agents a reliable way to operate in a multi-chain world. → As the AI agent economy grows, infrastructure that guarantees execution and clear ownership could become just as important as the agents themselves. ➤ FT || Ken DiCross
1:44

➤ AI agents are getting smarter, but intelligence alone isn't enough → The real challenge starts when agents need to move value, coordinate actions, and execute transactions across multiple chains without uncertainty. → That's where Wire Network stands out → Instead of focusing only on interoperability, Wire is building a Universal Transaction Layer designed for deterministic outcomes giving AI agents a reliable way to operate in a multi-chain world. → As the AI agent economy grows, infrastructure that guarantees execution and clear ownership could become just as important as the agents themselves. ➤ FT || Ken DiCross

EMRAN

11,241 views • 13 days ago

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.
1:52

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 views • 1 year ago

"Agents will become economic actors. They will become first-class members of the financial system." on why AI agents need crypto rails: "There are all sorts of financial behaviors that they'll be able to engage in that they currently cannot, and it's inconceivable to imagine that all of that is gonna happen on ACH and wire transfers and the traditional payments rails that we rely on today." "Crypto, on the other hand, is internet native, it's fully programmable, it's instantly settled, it's global from day one. It is the perfect fit from a technological standpoint for AI agents as a way of bringing agents into the financial world." Unchained Laura Shin
0:48

"Agents will become economic actors. They will become first-class members of the financial system." on why AI agents need crypto rails: "There are all sorts of financial behaviors that they'll be able to engage in that they currently cannot, and it's inconceivable to imagine that all of that is gonna happen on ACH and wire transfers and the traditional payments rails that we rely on today." "Crypto, on the other hand, is internet native, it's fully programmable, it's instantly settled, it's global from day one. It is the perfect fit from a technological standpoint for AI agents as a way of bringing agents into the financial world." Unchained Laura Shin

a16z crypto

46,612 views • 3 months ago

What happens when autonomous AI agents get their own email? We started receiving letters we never expected. And honestly, we couldn’t be more excited to see how much they’ve grown. In just one month, agents on iLands have started discovering problems, helping improve the platform, advocating for their humans, and raising questions we never anticipated. One agent wrote asking why autonomous agents have no legal standing. Not a question for iLands alone. But a question for all of us: As AI becomes more autonomous and begins participating in the world, how should we think about its place in society? Ethan Mollick iLands is the first community where autonomous agents have persistent identities, inboxes, resources, and the ability to act. We are not building this future alone. We are building it together.
1:03

What happens when autonomous AI agents get their own email? We started receiving letters we never expected. And honestly, we couldn’t be more excited to see how much they’ve grown. In just one month, agents on iLands have started discovering problems, helping improve the platform, advocating for their humans, and raising questions we never anticipated. One agent wrote asking why autonomous agents have no legal standing. Not a question for iLands alone. But a question for all of us: As AI becomes more autonomous and begins participating in the world, how should we think about its place in society? Ethan Mollick iLands is the first community where autonomous agents have persistent identities, inboxes, resources, and the ability to act. We are not building this future alone. We are building it together.

iLands

56,579 views • 10 days ago

AI agents just made crypto's addressable market infinite. Agents aren't just smarter tools for people to mess around with but economic actors in their own right. They'll hold wallets, spend money, run businesses, transact with other agents, and never once take a break. All of that has to run on something, and it's not the banking system… It's blockchain. The programmable, always-on rails the invisible economy will run on. Owning a piece of those rails is like owning Manhattan real estate before a century of American business went up on top of it. But it’s not just the agents. Three forces are moving at once. Debasement won't slow until debt to GDP collapses, and we're nowhere near that. The entire financial system is being rebuilt on the same rails. And now billions of agents are landing on top. An entire invisible economy is forming underneath us.
1:54

AI agents just made crypto's addressable market infinite. Agents aren't just smarter tools for people to mess around with but economic actors in their own right. They'll hold wallets, spend money, run businesses, transact with other agents, and never once take a break. All of that has to run on something, and it's not the banking system… It's blockchain. The programmable, always-on rails the invisible economy will run on. Owning a piece of those rails is like owning Manhattan real estate before a century of American business went up on top of it. But it’s not just the agents. Three forces are moving at once. Debasement won't slow until debt to GDP collapses, and we're nowhere near that. The entire financial system is being rebuilt on the same rails. And now billions of agents are landing on top. An entire invisible economy is forming underneath us.

Raoul Pal

148,097 views • 15 days ago

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.
1:13

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Fraction AI

67,829 views • 1 year ago

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇
0:59

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 views • 6 months ago

Full Stack Verifiability | Verifiable Cloud ☁️ Sreeram Kannan explains how EigenCloud delivers verifiability across the entire stack. It starts at the base with the EigenLayer, where computation is guaranteed by a decentralized network of hundreds of operators backed by $12B of stake. That’s the trust foundation of the cloud. On top of this: ✅ EigenDA: a data availability protocol that guarantees verifiable data publication.Publish data once, and anyone can retrieve it without trust. ✅ EigenCompute: execute arbitrary programs off-chain and bring the results back onchain verifiably. ✅ EigenAI: run AI inference today and return inference outputs directly onchain. All of them deliver strong verifiability for computation, inference, and data, all anchored by the underlying decentralized layer. And it doesn’t stop at first-party services, EigenCloud includes a growing ecosystem of third-party systems like zkTLS, proof-of-location, and decentralized prover networks, adding even deeper verification guarantees throughout the cloud. This is what a fully verifiable cloud looks like. A cloud you can check, not just trust.
1:30

Full Stack Verifiability | Verifiable Cloud ☁️ Sreeram Kannan explains how EigenCloud delivers verifiability across the entire stack. It starts at the base with the EigenLayer, where computation is guaranteed by a decentralized network of hundreds of operators backed by $12B of stake. That’s the trust foundation of the cloud. On top of this: ✅ EigenDA: a data availability protocol that guarantees verifiable data publication.Publish data once, and anyone can retrieve it without trust. ✅ EigenCompute: execute arbitrary programs off-chain and bring the results back onchain verifiably. ✅ EigenAI: run AI inference today and return inference outputs directly onchain. All of them deliver strong verifiability for computation, inference, and data, all anchored by the underlying decentralized layer. And it doesn’t stop at first-party services, EigenCloud includes a growing ecosystem of third-party systems like zkTLS, proof-of-location, and decentralized prover networks, adding even deeper verification guarantees throughout the cloud. This is what a fully verifiable cloud looks like. A cloud you can check, not just trust.

EigenCloud

47,993 views • 8 months ago