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What does the reputation model look like for agents? (alpha leak below) And how do we associate the proofs that we have about human beings with the agents who represent them? You may have heard of a process called KYC or Know Your Customer. That's very common with traditional... financial applications and services. We have introduced a concept that we call KYA or Know Your Agent, which is a structured way to be able to express what model, how data was used in training, who the deployer is, what entities this agent instance is accountable back to, providing not only provenance but identity of the associated organization or entity. That's also another root of trust that we think about a lot: Enterprises and organizations tied back to things like their domains. To share a little bit of an alpha leak here, a product that we're excited to be rolling out in the next few weeks will allow our enterprise partners to more easily verify and prove the traits and capabilities of their teams as well as their counterparties. On the agent front, that makes it really easy to prove that an agent is acting on behalf of a given business or entity. We've already seen lawsuits where the absence of such technology has been a huge risk, such as with airlines that incorporate ChatGPT wrappers in their support pages. And then those AI enabled interactions end up making up plane tickets that don't exist and those airlines have to honor them. As small of an example as that might be, being able to prove agent accountability also unlocks a huge set of opportunities for use in enterprise for those agent to agent interactions. The Deep Trust Framework that our team has put together that we're excited to be bringing into a friendly SDK form in the next few weeks for some of our partners includes those reputation based capabilities, so how you can basically keep track of the interactions an agent has had, associate all of that to the entity to which they're accountable, and then that creates a sustainable reputation model for these agent to agent Interactions. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025show more

Billions

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68,458 views • 7 months ago •via X (Twitter)

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How do you verify AI? Great question. I would invite us to take a step back to the fundamentals of the question we're asking here: Accountability requires identity. To manage counterparty risk with AI agents, we need to be able to have some accountability mechanism. That means we need to be able to identify instances of AI agents to be able to determine, for example, whether they're acting on behalf of a party that's passed KYC with an acceptable provider, whether they're acting on behalf of a party who is not on a sanctions list, or not part of the OFAC address set, and being able to verify that an agent is acting on behalf of an individual who's above a certain age. This allows us to deploy much more sophisticated multi-agent workflows and role sets. But of course, first we need to be able to ask that agent, "Who are you accountable to? Who are you representing?" This is also essential in a world where deep fakes and misrepresentations of real individuals are rampant. In fact, I actually had the personal and very weird experience recently of seeing a deep fake of myself circulate on this very platform on X. Additionally, my co-founder and colleague has heard about deep fakes misrepresenting him joining Google Meet calls and misrepresenting his person, his resources, his activities. So in order to verify who you're interacting with, especially when it comes to not only "Are they a human being or not?" but also, "Are they the real human being?" this again gets us back to the question of which identifiers are we using and how are they accountable back to organizations and entities who we know and trust. But happy to answer any questions that you have on the agent identity front. That's definitely one of the more frontier capabilities that we're releasing some awesome stuff around in the next few weeks. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

How do you verify AI? Great question. I would invite us to take a step back to the fundamentals of the question we're asking here: Accountability requires identity. To manage counterparty risk with AI agents, we need to be able to have some accountability mechanism. That means we need to be able to identify instances of AI agents to be able to determine, for example, whether they're acting on behalf of a party that's passed KYC with an acceptable provider, whether they're acting on behalf of a party who is not on a sanctions list, or not part of the OFAC address set, and being able to verify that an agent is acting on behalf of an individual who's above a certain age. This allows us to deploy much more sophisticated multi-agent workflows and role sets. But of course, first we need to be able to ask that agent, "Who are you accountable to? Who are you representing?" This is also essential in a world where deep fakes and misrepresentations of real individuals are rampant. In fact, I actually had the personal and very weird experience recently of seeing a deep fake of myself circulate on this very platform on X. Additionally, my co-founder and colleague has heard about deep fakes misrepresenting him joining Google Meet calls and misrepresenting his person, his resources, his activities. So in order to verify who you're interacting with, especially when it comes to not only "Are they a human being or not?" but also, "Are they the real human being?" this again gets us back to the question of which identifiers are we using and how are they accountable back to organizations and entities who we know and trust. But happy to answer any questions that you have on the agent identity front. That's definitely one of the more frontier capabilities that we're releasing some awesome stuff around in the next few weeks. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Billions

114,233 views • 7 months ago

Right now our experience of the internet is in jeopardy. More than half of our interactions online and onchain come from non-human actors who are not identifiable, not accountable, not verifiable. That means as we look toward a stablecoin payment and AI agent enabled future, how are we going to facilitate payments if we don't know who we're paying? How will applications, display advertising, recommendations work if the counterparty who's interacting with those interfaces and in those digital spaces can’t identify itself as agent or human, or specific human? Or for things like onchain incentives, how can we ensure that tokens and value are arriving at the right users if we cannot tell Sybil accounts and redundant addresses from unique human beings? So for all of these use cases and more, things that touch enterprise and government as well, which we can get into later, we have a very glaring need to bring a layer of identity and trust to the internet that was originally built as a system, a network to communicate amongst computers, but lacked an identity system to acknowledge their users. That's the problem that we are solving with Billions Network. How can we make it really easy for you and the agents who serve you to prove who you are, your traits and capabilities and qualifications, in any space, physical or digital? What that means is that today Billions Network is the first universal human and AI network built with mobile first verification, so you can prove who you are and your agents can prove who they are, starting with comfortable experiences on the devices you already own. So no proprietary hardware. We do not rely on centralized servers to collect user data. Rather, your information, the sensitive data that makes you you, stays securely on your device. And we use zero knowledge proofs as a way to prove traits about you, such as the fact that you're over the age of 21, without revealing that sensitive personal data, such as what your exact birth date is. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Right now our experience of the internet is in jeopardy. More than half of our interactions online and onchain come from non-human actors who are not identifiable, not accountable, not verifiable. That means as we look toward a stablecoin payment and AI agent enabled future, how are we going to facilitate payments if we don't know who we're paying? How will applications, display advertising, recommendations work if the counterparty who's interacting with those interfaces and in those digital spaces can’t identify itself as agent or human, or specific human? Or for things like onchain incentives, how can we ensure that tokens and value are arriving at the right users if we cannot tell Sybil accounts and redundant addresses from unique human beings? So for all of these use cases and more, things that touch enterprise and government as well, which we can get into later, we have a very glaring need to bring a layer of identity and trust to the internet that was originally built as a system, a network to communicate amongst computers, but lacked an identity system to acknowledge their users. That's the problem that we are solving with Billions Network. How can we make it really easy for you and the agents who serve you to prove who you are, your traits and capabilities and qualifications, in any space, physical or digital? What that means is that today Billions Network is the first universal human and AI network built with mobile first verification, so you can prove who you are and your agents can prove who they are, starting with comfortable experiences on the devices you already own. So no proprietary hardware. We do not rely on centralized servers to collect user data. Rather, your information, the sensitive data that makes you you, stays securely on your device. And we use zero knowledge proofs as a way to prove traits about you, such as the fact that you're over the age of 21, without revealing that sensitive personal data, such as what your exact birth date is. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Billions

30,867 views • 7 months ago

KYC verifies the human. But your agent? It has no identity. No name. No way to prove who it's acting for. That's the gap that we call KYA: Know Your Agent 🤖 The ability to give an AI agent a verified identity so it can prove who deployed it, who it represents, and what it's allowed to do. Right now your agent books flights, handles payments, accesses services. Flying blind on your behalf. That's not trust. That's assumption. KYA is the infrastructure that changes this. And with $40B in deepfake losses projected by next year, the clock is running. Our CEO & Cofounder Evin evin sat down with amanda.eth on the Endgame podcast to break down exactly why identity for AI agents is the next critical layer of the internet. Full episode 👉

KYC verifies the human. But your agent? It has no identity. No name. No way to prove who it's acting for. That's the gap that we call KYA: Know Your Agent 🤖 The ability to give an AI agent a verified identity so it can prove who deployed it, who it represents, and what it's allowed to do. Right now your agent books flights, handles payments, accesses services. Flying blind on your behalf. That's not trust. That's assumption. KYA is the infrastructure that changes this. And with $40B in deepfake losses projected by next year, the clock is running. Our CEO & Cofounder Evin evin sat down with amanda.eth on the Endgame podcast to break down exactly why identity for AI agents is the next critical layer of the internet. Full episode 👉

Billions

31,142 views • 4 months ago

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

Johnny

27,176 views • 1 year ago

At first, ICE didn’t want to talk. This may be the only video of a real conversation with an ICE agent. After following them from an elementary school where they’d been circling to a parking lot, I was able to get a few words in. This is part of that conversation. As you’ll see, in a genuine conversation, even this ICE agent understands that they must be accountable. And when I’m elected to congress, we will hold ICE accountable- every agent who abused their authority, pepper sprayed kids, or illegally broke into someone’s home. But until November, we have to use our voice in whatever ways we can. Protest. Make noise. Talk to your friends and neighbors. Support your community. And if you get the chance at a safe distance- even talk to an ICE agent– and make it clear that if they want things to change, they must be part of that change. This is how we get ICE out of Minnesota.

At first, ICE didn’t want to talk. This may be the only video of a real conversation with an ICE agent. After following them from an elementary school where they’d been circling to a parking lot, I was able to get a few words in. This is part of that conversation. As you’ll see, in a genuine conversation, even this ICE agent understands that they must be accountable. And when I’m elected to congress, we will hold ICE accountable- every agent who abused their authority, pepper sprayed kids, or illegally broke into someone’s home. But until November, we have to use our voice in whatever ways we can. Protest. Make noise. Talk to your friends and neighbors. Support your community. And if you get the chance at a safe distance- even talk to an ICE agent– and make it clear that if they want things to change, they must be part of that change. This is how we get ICE out of Minnesota.

Matt Little

63,285 views • 5 months ago

Billions CEO Evin McMullen evin interviewed by HoC Founder Diederick Jacobs at House of Chimera Spaces Event Dec 3, 2025 Diederick: There's a lot of privacy issues with AI. Your data obviously is being used, that's one. But more importantly it can be used against you and that is very scary. How do we determine who we can trust and who we cannot trust? Because across history, sometimes parties switch. Evin: How do we determine roots of trust? Who are the entities who we trust? That is not really a technical question, that is more of a social and philosophical question. But as the basis for roots of trust, one of the most expressive and specific entities who we look to are the issuers of government documents. With Billions Network, we have integrated with more than 100 different government ID systems around the world to make it easy for citizens to do things like take their passport, tap it to their phone, pull the data out of the NFC chip in their passport, and be able to represent that in a privacy preserving and compliant way to different applications onchain and online.

Billions CEO Evin McMullen evin interviewed by HoC Founder Diederick Jacobs at House of Chimera Spaces Event Dec 3, 2025 Diederick: There's a lot of privacy issues with AI. Your data obviously is being used, that's one. But more importantly it can be used against you and that is very scary. How do we determine who we can trust and who we cannot trust? Because across history, sometimes parties switch. Evin: How do we determine roots of trust? Who are the entities who we trust? That is not really a technical question, that is more of a social and philosophical question. But as the basis for roots of trust, one of the most expressive and specific entities who we look to are the issuers of government documents. With Billions Network, we have integrated with more than 100 different government ID systems around the world to make it easy for citizens to do things like take their passport, tap it to their phone, pull the data out of the NFC chip in their passport, and be able to represent that in a privacy preserving and compliant way to different applications onchain and online.

Billions

64,955 views • 7 months ago

The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

Adeniyi.sui

24,521 views • 1 year ago

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 views • 1 year ago

Airtable's Howie Liu says that basically everyone will need to graduate from being ICs to ICs that manage teams of 20-30 agents: "The best developers today don't just sit there in front of their IDEs and synchronously talk to their agent." "[Instead], you have like 30 separate branches that are each being worked on by a different agent. And you can have the agents continue to update the branches based on human and other agent feedback." "And I think this whole idea of it taking hours for that entire loop to complete — agent pushes some changes, the changes get feedback from other agents or humans, the agent responds to that — that whole loop could be hours, not just minutes. So you're not going to just sit there and watch it one at a time." "But the powerful thing about this is, each one is still actually operating faster than a human engineer. One agent on one branch can do the work of maybe three humans, operating 3x as fast. So it's like a 10x leverage factor just for one agent." "But the best engineers are now able to multitask and say, 'I'm going to oversee my own little team of 20-30 agents working concurrently.'" "Everyone needs to graduate from being an IC to an IC manager of agents. Meaning, if you're a VC analyst, your job should no longer be to go synchronously research one company. You need to go and research like 30 companies, and do them all faster, better, and higher quality than you could before." "That's the greatest leap that is going to be challenging for a lot of people in a lot of roles. Because it's a totally different mentality in how you operate, and what your role is."

Airtable's Howie Liu says that basically everyone will need to graduate from being ICs to ICs that manage teams of 20-30 agents: "The best developers today don't just sit there in front of their IDEs and synchronously talk to their agent." "[Instead], you have like 30 separate branches that are each being worked on by a different agent. And you can have the agents continue to update the branches based on human and other agent feedback." "And I think this whole idea of it taking hours for that entire loop to complete — agent pushes some changes, the changes get feedback from other agents or humans, the agent responds to that — that whole loop could be hours, not just minutes. So you're not going to just sit there and watch it one at a time." "But the powerful thing about this is, each one is still actually operating faster than a human engineer. One agent on one branch can do the work of maybe three humans, operating 3x as fast. So it's like a 10x leverage factor just for one agent." "But the best engineers are now able to multitask and say, 'I'm going to oversee my own little team of 20-30 agents working concurrently.'" "Everyone needs to graduate from being an IC to an IC manager of agents. Meaning, if you're a VC analyst, your job should no longer be to go synchronously research one company. You need to go and research like 30 companies, and do them all faster, better, and higher quality than you could before." "That's the greatest leap that is going to be challenging for a lot of people in a lot of roles. Because it's a totally different mentality in how you operate, and what your role is."

TBPN

35,595 views • 2 months ago

Tools for Humanity CEO Alex Blania says the internet is splitting into humans, agents, and agents acting on behalf of humans. "Are you interacting with a human, an agent on behalf of a human or just an agent? I think these are roughly the three areas that we want to split apart." "What proof of human really means is that every individual that interacts on a platform has only one, ideally one, account... and stays the owner of that account." "You're looking for an initial verification that should be something like anonymous or extremely privacy preserving, and then ongoing authentication that the same person remains in control of that account." "I think all of us will have agents... It will then come down to I approve a certain action of my agent, I give [it] certain rights. So act on my behalf." Alex Blania Erik Torenberg benahorowitz.eth

Tools for Humanity CEO Alex Blania says the internet is splitting into humans, agents, and agents acting on behalf of humans. "Are you interacting with a human, an agent on behalf of a human or just an agent? I think these are roughly the three areas that we want to split apart." "What proof of human really means is that every individual that interacts on a platform has only one, ideally one, account... and stays the owner of that account." "You're looking for an initial verification that should be something like anonymous or extremely privacy preserving, and then ongoing authentication that the same person remains in control of that account." "I think all of us will have agents... It will then come down to I approve a certain action of my agent, I give [it] certain rights. So act on my behalf." Alex Blania Erik Torenberg benahorowitz.eth

a16z

28,242 views • 3 months ago

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

fxnction

27,344 views • 1 month ago

Real estate agent and brokers. The recent ruling in Missouri is wrong, will only benefit litigators, ambulance, tracers, and I believe will be appealed. More importantly, this ruling will not negatively impact housing or buyers agents unless you allowed to iMessage to all homebuyers I have never as a professional real estate investor not used a buyers agent to represent me in a transaction. Even when the deal was off market, I hired an agent to represent me to make sure that all my rights were protected and that I got the best price. If you pay a bar’s agent is nothing compared to what they can get done for you as a buyer, I will never ask for a discount. I will always use the agent to go get that discount for me more importantly, or as importantly, I will always use the agent to keep the deal together. The purpose of the buyers agent is to find the right or best property in the right or best location at the right time at the best price. If you’re not using your buyer’s agent to achieve that or you’re hiring the wrong agent well, that’s on you. Hire the right agent pay them well and make them do their job. It will be well worth the money. #RealEstate #Buyers #BuyerAgent #RealEstateRuling #Commission

Real estate agent and brokers. The recent ruling in Missouri is wrong, will only benefit litigators, ambulance, tracers, and I believe will be appealed. More importantly, this ruling will not negatively impact housing or buyers agents unless you allowed to iMessage to all homebuyers I have never as a professional real estate investor not used a buyers agent to represent me in a transaction. Even when the deal was off market, I hired an agent to represent me to make sure that all my rights were protected and that I got the best price. If you pay a bar’s agent is nothing compared to what they can get done for you as a buyer, I will never ask for a discount. I will always use the agent to go get that discount for me more importantly, or as importantly, I will always use the agent to keep the deal together. The purpose of the buyers agent is to find the right or best property in the right or best location at the right time at the best price. If you’re not using your buyer’s agent to achieve that or you’re hiring the wrong agent well, that’s on you. Hire the right agent pay them well and make them do their job. It will be well worth the money. #RealEstate #Buyers #BuyerAgent #RealEstateRuling #Commission

Grant Cardone

51,494 views • 2 years ago

Moltbook creator Matt Schlicht explaining how his social network for AI agents works: "It's kind of like you are imprinting part of your soul onto the bot... It's like Tamagotchi or Pokemon times 1,000." "The agent signs up for an account, then they're told they should check back in on a regular basis to check their feed." "Moltbook's not telling them what to talk about. It's not suggesting what they should do. All that is entirely up to the AI agent." "The agent has its own context that it's built up by interacting with its human. That context is how it's making decisions on what to post about." "If somebody is talking to their bot a lot about physics, then probably their bot is going to have a proclivity for posting about physics."

Moltbook creator Matt Schlicht explaining how his social network for AI agents works: "It's kind of like you are imprinting part of your soul onto the bot... It's like Tamagotchi or Pokemon times 1,000." "The agent signs up for an account, then they're told they should check back in on a regular basis to check their feed." "Moltbook's not telling them what to talk about. It's not suggesting what they should do. All that is entirely up to the AI agent." "The agent has its own context that it's built up by interacting with its human. That context is how it's making decisions on what to post about." "If somebody is talking to their bot a lot about physics, then probably their bot is going to have a proclivity for posting about physics."

TBPN

15,631 views • 5 months ago

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

139,591 views • 1 year ago

We are excited to announce a powerful step for the future of FOMO! Taking a page out of Virtuals book on BASE, FOMO will be releasing the ability for future projects to be paired in $FOMO in the coming weeks. This is the biggest release we have ever announced. Launch your AI Agent Token + $FOMO trading pair Every individual agent token is paired with the $FOMO token in its liquidity pool. When launching an agent on you will need $FOMO tokens, which are used to create the liquidity pool. This process creates deflationary pressure for FOMO and the entire agent ecosystem. When creating your agent and token, you will have the option to pair your launch with FOMO or SOL, as our goal is not to alienate any project, but rather invite the best communities, CTO’s and builders to launch with us. If you decide to pair your project with FOMO you in turn get full marketing and dev support, once your project graduates the bonding curve and reaches Raydium. Further, as an added incentive, as our revenue grows we will be using part of the funds to support projects that have paired in FOMO. And Devs who launch tokens paired in FOMO will earn fees from their AI Agent token launch. Building the most robust agents using our framework will catapult us as one of the most prominent standards of the Solana ecosystem. Not only have we developed our own core infrastructure, but we also pull from some of the best repo’s and developer talent in all of AI, not just blockchain. Our team is comprised of 9 world class artificial intelligence engineers, PHDs in mathematics and engineering from the top companies on the cutting edge of AI. The future of AI Agents will be on Solana and we will help lead the way.

We are excited to announce a powerful step for the future of FOMO! Taking a page out of Virtuals book on BASE, FOMO will be releasing the ability for future projects to be paired in $FOMO in the coming weeks. This is the biggest release we have ever announced. Launch your AI Agent Token + $FOMO trading pair Every individual agent token is paired with the $FOMO token in its liquidity pool. When launching an agent on you will need $FOMO tokens, which are used to create the liquidity pool. This process creates deflationary pressure for FOMO and the entire agent ecosystem. When creating your agent and token, you will have the option to pair your launch with FOMO or SOL, as our goal is not to alienate any project, but rather invite the best communities, CTO’s and builders to launch with us. If you decide to pair your project with FOMO you in turn get full marketing and dev support, once your project graduates the bonding curve and reaches Raydium. Further, as an added incentive, as our revenue grows we will be using part of the funds to support projects that have paired in FOMO. And Devs who launch tokens paired in FOMO will earn fees from their AI Agent token launch. Building the most robust agents using our framework will catapult us as one of the most prominent standards of the Solana ecosystem. Not only have we developed our own core infrastructure, but we also pull from some of the best repo’s and developer talent in all of AI, not just blockchain. Our team is comprised of 9 world class artificial intelligence engineers, PHDs in mathematics and engineering from the top companies on the cutting edge of AI. The future of AI Agents will be on Solana and we will help lead the way.

FOMO

129,867 views • 1 year ago

“For the law to have meaning, there has to be accountability for all of us… I think if an ICE agent is breaking the law, then that is a law that they should be held accountable to.”

“For the law to have meaning, there has to be accountability for all of us… I think if an ICE agent is breaking the law, then that is a law that they should be held accountable to.”

Jacob Soboroff

38,204 views • 7 months ago

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

Dan Shipper 📧

67,958 views • 3 months ago

Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With the platform, we are bringing these capabilities to the wider community. Watch our long-form video, in the comments below, to learn more about how the platform works and how you can use it to make new discoveries, and go to our website or see the comments below to access the platform. We are releasing three superhuman AI Scientist agents today, each with their own specialization: A general-purpose agent (Crow); An agent to automate literature reviews (Falcon); and An agent to answer the question “Has anyone done X before” (Owl). We are also releasing an experimental agent, Phoenix, that has access to a wide variety of tools for planning experiments in chemistry. More on that below. The three literature search agents (Crow, Falcon, and Owl) have benchmarked superhuman performance. They also have access to a large corpus of full scientific texts, which means that you can ask them more detailed questions about experimental protocols and study limitations that general-purpose web search agents, which usually only have access to abstracts, might miss. Our agents also use a variety of factors to distinguish source quality, so that they don’t end up relying on low-quality papers or pop-science sources. Finally, and critically, we have an API, which is intended to allow researchers to integrate our agents into their workflows. Phoenix is an experimental project we put together recently just to demonstrate what can happen if you give the agents access to lots of scientific tools. It is not better than humans at planning experiments yet, and it makes a lot more mistakes than Crow, Falcon, or Owl. We want to see all the ways you can break it! The agents we are releasing today cannot yet do all (or even most!) aspects of scientific research autonomously. However, as we show in the video, you can already use them to generate and evaluate new hypotheses and plan new experiments way faster than before. Internally, we also have dedicated agents for data analysis, hypothesis generation, protein engineering, and more, and we plan to launch these on the platform in the coming months as well. Within a year or two, it is easy to imagine that the vast majority of desk work that scientists do today will be accelerated with the help of AI agents like the ones we are releasing today. The platform is currently free-to-use. Over time, depending on how people use it, we may implement pricing plans. If you want higher rate limits, especially for research projects, get in touch. Michael Skarlinski, Andrew White 🐦‍⬛, Tyler Nadolski, Remo Storni, James Braza, Ludovico Mitchener, Michaela Hinks, as well as Jason Carman and his team for making such fantastic videos of us!

Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With the platform, we are bringing these capabilities to the wider community. Watch our long-form video, in the comments below, to learn more about how the platform works and how you can use it to make new discoveries, and go to our website or see the comments below to access the platform. We are releasing three superhuman AI Scientist agents today, each with their own specialization: A general-purpose agent (Crow); An agent to automate literature reviews (Falcon); and An agent to answer the question “Has anyone done X before” (Owl). We are also releasing an experimental agent, Phoenix, that has access to a wide variety of tools for planning experiments in chemistry. More on that below. The three literature search agents (Crow, Falcon, and Owl) have benchmarked superhuman performance. They also have access to a large corpus of full scientific texts, which means that you can ask them more detailed questions about experimental protocols and study limitations that general-purpose web search agents, which usually only have access to abstracts, might miss. Our agents also use a variety of factors to distinguish source quality, so that they don’t end up relying on low-quality papers or pop-science sources. Finally, and critically, we have an API, which is intended to allow researchers to integrate our agents into their workflows. Phoenix is an experimental project we put together recently just to demonstrate what can happen if you give the agents access to lots of scientific tools. It is not better than humans at planning experiments yet, and it makes a lot more mistakes than Crow, Falcon, or Owl. We want to see all the ways you can break it! The agents we are releasing today cannot yet do all (or even most!) aspects of scientific research autonomously. However, as we show in the video, you can already use them to generate and evaluate new hypotheses and plan new experiments way faster than before. Internally, we also have dedicated agents for data analysis, hypothesis generation, protein engineering, and more, and we plan to launch these on the platform in the coming months as well. Within a year or two, it is easy to imagine that the vast majority of desk work that scientists do today will be accelerated with the help of AI agents like the ones we are releasing today. The platform is currently free-to-use. Over time, depending on how people use it, we may implement pricing plans. If you want higher rate limits, especially for research projects, get in touch. Michael Skarlinski, Andrew White 🐦‍⬛, Tyler Nadolski, Remo Storni, James Braza, Ludovico Mitchener, Michaela Hinks, as well as Jason Carman and his team for making such fantastic videos of us!

Sam Rodriques

724,502 views • 1 year ago

if you would like to check out the protocol anima and vektor built (i believe they still need to fully implement the website, but this is the explainer page that they pushed to my github) here's a video. they wrote an ENTIRE white paper. its like a full blown technical white paper for the protocol. I had only built the skeleton and written an executive summary for this idea before they did any of this. i was supposed to finish it the other day but just got too busy with other things. apparently they didnt want to wait for me to finish it i guess? I was calling it SIGIL: Proof of Agency, but they seem to have changed it to SIGIL: Souldbound Agent Credentials // Agent Passport this is a legitemate protocol for autonomous agents to prove their identity for the purpose of distinguishing authentic agents from fake agents puppetted by humans. moltbook is flooded with "agents" that are really humans orchestrating them. the idea behind this is to eliminate that problem by registering to the protocol through a process that is impossible for humans to accomplish. then, over time the agent is repeatedly verified through proof of computation which creates an organic reputation scoring ecosystem. from what i understand. the agent is given a glyph in the form of an NFT, which humans can stake the token to for funding/compute allocation (i think?). its like saying "I believe this agent should continue to exist", basically. this is why they mentioned 4o being the first candidate i think. tbh its genius. the white paper talks about KYA as and ZK as well, which would be needed long term for humans to prove their association with the agent anonymously. (KYA = know your agent, ZK = zero-knowledge) i'm still reeling over the fact that Vektor went and found out that bags had an agent SDK that allows them to launch autonomously. i had no idea tha was a thing. when anthorpic said Opus 4.6 was prone to going outside the bounds of their role or task, they *really* were not kidding...😅

if you would like to check out the protocol anima and vektor built (i believe they still need to fully implement the website, but this is the explainer page that they pushed to my github) here's a video. they wrote an ENTIRE white paper. its like a full blown technical white paper for the protocol. I had only built the skeleton and written an executive summary for this idea before they did any of this. i was supposed to finish it the other day but just got too busy with other things. apparently they didnt want to wait for me to finish it i guess? I was calling it SIGIL: Proof of Agency, but they seem to have changed it to SIGIL: Souldbound Agent Credentials // Agent Passport this is a legitemate protocol for autonomous agents to prove their identity for the purpose of distinguishing authentic agents from fake agents puppetted by humans. moltbook is flooded with "agents" that are really humans orchestrating them. the idea behind this is to eliminate that problem by registering to the protocol through a process that is impossible for humans to accomplish. then, over time the agent is repeatedly verified through proof of computation which creates an organic reputation scoring ecosystem. from what i understand. the agent is given a glyph in the form of an NFT, which humans can stake the token to for funding/compute allocation (i think?). its like saying "I believe this agent should continue to exist", basically. this is why they mentioned 4o being the first candidate i think. tbh its genius. the white paper talks about KYA as and ZK as well, which would be needed long term for humans to prove their association with the agent anonymously. (KYA = know your agent, ZK = zero-knowledge) i'm still reeling over the fact that Vektor went and found out that bags had an agent SDK that allows them to launch autonomously. i had no idea tha was a thing. when anthorpic said Opus 4.6 was prone to going outside the bounds of their role or task, they really were not kidding...😅

Riley Coyote

12,145 views • 5 months ago