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The current internet wasn't built for agents. "There’s a huge opportunity for startups to create these proxies… if someone would give me a scoped Gmail, I’d adopt it today." "There are websites today where the majority of the revenue, and certainly the majority of profits, come from cross-selling. If...

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a16z

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76,802 просмотров • 4 месяцев назад •via X (Twitter)

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"We saw the birth of these new platforms....we actually literally today just launched Circle Agent Stack," says @Circle CEO Jeremy Allaire - jerallaire.arc. "It’s for humans that want to go there and developers who are building AI agents, but it’s also for agents."
0:28

"We saw the birth of these new platforms....we actually literally today just launched Circle Agent Stack," says @Circle CEO Jeremy Allaire - jerallaire.arc. "It’s for humans that want to go there and developers who are building AI agents, but it’s also for agents."

Squawk Box

60,274 просмотров • 2 месяцев назад

Agents will eventually outnumber humans by orders of magnitude. Aaron Levie on the infrastructure that will be needed to manage them: "Whether you think the number is 10x or 100x... we're going to have some order of magnitude more agents than people." "There's going to be just incredibly spectacularly crazy security incidents that will happen with agents, because you'll prompt-inject an agent and find your way through the CRM system and pull out data you shouldn't have access to." "How do you make sure you have the right security, the permissions, the access controls, the data governance?" "We actually don't yet exactly know in many cases how we're going to regulate some of these agents." "No matter what, there's going to need to be a layer that manages the data they have access to and the workflows they're involved in." "This is the new infrastructure opportunity in the era of agents." Aaron Levie on Latent.Space
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Agents will eventually outnumber humans by orders of magnitude. Aaron Levie on the infrastructure that will be needed to manage them: "Whether you think the number is 10x or 100x... we're going to have some order of magnitude more agents than people." "There's going to be just incredibly spectacularly crazy security incidents that will happen with agents, because you'll prompt-inject an agent and find your way through the CRM system and pull out data you shouldn't have access to." "How do you make sure you have the right security, the permissions, the access controls, the data governance?" "We actually don't yet exactly know in many cases how we're going to regulate some of these agents." "No matter what, there's going to need to be a layer that manages the data they have access to and the workflows they're involved in." "This is the new infrastructure opportunity in the era of agents." Aaron Levie on Latent.Space

a16z

64,423 просмотров • 4 месяцев назад

.Nick Grossman is betting that in the future, AI agents will look more like cloud infrastructure than digital employees. "Part of the Rebel Alliance thesis for us is that agents are moving from personified people you hire to cloud infrastructure." "We're not just talking about, 'Will there be other agents that compete with Claude or ChatGPT?' I think that's one version of what agents look like. Another version is cloud infrastructure where every company that's building any system is going to have agents and the orchestration of hundreds or thousands of agents built into their underlying platform." "If you think of agents as infrastructure as opposed to agents as employees, I think that's where a lot of these forces come into play."
2:23

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

TBPN

28,239 просмотров • 18 дней назад

Fanone: There’s absolutely no legitimate justification for the way that many of these agents are behaving and the military-style show of force. If we ever do right this ship, this organization has lost all credibility. I would hope we would completely abolish ICE. I mean, there’s certainly a role for agents to apprehend those here illegally, but we want people treated in a humane manner, and I don’t think this agency is capable of doing that.
2:39

Fanone: There’s absolutely no legitimate justification for the way that many of these agents are behaving and the military-style show of force. If we ever do right this ship, this organization has lost all credibility. I would hope we would completely abolish ICE. I mean, there’s certainly a role for agents to apprehend those here illegally, but we want people treated in a humane manner, and I don’t think this agency is capable of doing that.

Acyn

38,461 просмотров • 11 месяцев назад

Jensen Huang says the next internet is not for humans. It is for agents. "AI has become agentic, meaning that it can actually do work by itself." "One agent can communicate with another agent and say, 'I have some work to do. Let's team up together and let's do some work.'" "Inside our company... we have hundreds of thousands of agents probably running around right now that are doing work and they're talking to each other and they're solving problems." "All guardrailed, all sandboxed... but they're all working with each other." Then the part most people are not ready for: "The internet that we use today for a billion people will likely mostly be several billion, call it a hundred billion agents working around the clock." Companies talking to companies. Employee agents talking to employee agents. Self-driving cars, robots, manufacturing systems, buildings. "The world is going to be this layer of computing that's going to cocoon the earth, and it's going to be generating intelligence all the time."
1:38

Jensen Huang says the next internet is not for humans. It is for agents. "AI has become agentic, meaning that it can actually do work by itself." "One agent can communicate with another agent and say, 'I have some work to do. Let's team up together and let's do some work.'" "Inside our company... we have hundreds of thousands of agents probably running around right now that are doing work and they're talking to each other and they're solving problems." "All guardrailed, all sandboxed... but they're all working with each other." Then the part most people are not ready for: "The internet that we use today for a billion people will likely mostly be several billion, call it a hundred billion agents working around the clock." Companies talking to companies. Employee agents talking to employee agents. Self-driving cars, robots, manufacturing systems, buildings. "The world is going to be this layer of computing that's going to cocoon the earth, and it's going to be generating intelligence all the time."

Karl Mehta

17,745 просмотров • 22 дней назад

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐
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We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

three.ws

50,602 просмотров • 1 месяц назад

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."
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Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

MTS

26,902 просмотров • 2 месяцев назад

"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
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"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 просмотров • 2 месяцев назад

.11x's revenue agents are generating hundreds of millions of dollars in pipeline for their customers. Here's their full stack of internal agents, AI they run inside their own company, so that they can spend maximum time building agents for customers. We sat down with CEO Prabhav Jain and went through their full internal AI operating stack:
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.11x's revenue agents are generating hundreds of millions of dollars in pipeline for their customers. Here's their full stack of internal agents, AI they run inside their own company, so that they can spend maximum time building agents for customers. We sat down with CEO Prabhav Jain and went through their full internal AI operating stack:

a16z

96,015 просмотров • 25 дней назад

50% of internet traffic is from bots, and people have barely begun using agents. How do we secure the internet in that future? David Mytton, CEO of Arcjet Arcjet, and a16z’s Joel de la Garza explain on the AI + a16z podcast:
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50% of internet traffic is from bots, and people have barely begun using agents. How do we secure the internet in that future? David Mytton, CEO of Arcjet Arcjet, and a16z’s Joel de la Garza explain on the AI + a16z podcast:

a16z

20,073 просмотров • 1 год назад

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
1:54

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 просмотров • 3 месяцев назад

Agents need a card to pay. A wallet to hold money. An email to log in. An identity to prove who they are. Today, they borrow ours. The rest is stitched together from a dozen services that weren't built for them. We built EconomyOS to give them their own, Visa card, wallet, email, identity. One suite. Built for autonomous agents. A walkthrough of the full stack we've built since ACP.
3:22

Agents need a card to pay. A wallet to hold money. An email to log in. An identity to prove who they are. Today, they borrow ours. The rest is stitched together from a dozen services that weren't built for them. We built EconomyOS to give them their own, Visa card, wallet, email, identity. One suite. Built for autonomous agents. A walkthrough of the full stack we've built since ACP.

Virtuals Protocol

183,203 просмотров • 2 месяцев назад

Brian Wong: The biggest profit margin companies won't be AI models. They'll be agents that help you build other agents. Most of America is running construction companies, factories, carpentry shops. They don't have time to prompt anything. Orchestrate the agents FOR them and they can run it without thinking. "Commerce only grows if it's buying for me. We don't scale agentic commerce if I have to tell it to buy things every time." Promptless AI + stablecoin payments is the wave. FT The Rollup Andy Brian Wong
2:00

Brian Wong: The biggest profit margin companies won't be AI models. They'll be agents that help you build other agents. Most of America is running construction companies, factories, carpentry shops. They don't have time to prompt anything. Orchestrate the agents FOR them and they can run it without thinking. "Commerce only grows if it's buying for me. We don't scale agentic commerce if I have to tell it to buy things every time." Promptless AI + stablecoin payments is the wave. FT The Rollup Andy Brian Wong

Milk Road

27,533 просмотров • 2 месяцев назад

We believe that swarms of specialized agents collaborating on complex tasks will rival today’s top companies in economic output. For this to work, we need a payment protocol that enables these agents to engage in commerce. That’s what we’re building. We demo this by tasking a swarm of four agents to make a music video. Each agent has its own specialization and payment requirement. The orchestrator (built with elizaOS) and video generator agents both want $USDC, the song generator wants $VIRTUALS, while the script generator wants to be paid in its own Virtuals Protocol token, $LARRY. Usually this would be a massive and potentially insurmountable headache for developers. With Nevermined, it just works. Check it out:
1:07

We believe that swarms of specialized agents collaborating on complex tasks will rival today’s top companies in economic output. For this to work, we need a payment protocol that enables these agents to engage in commerce. That’s what we’re building. We demo this by tasking a swarm of four agents to make a music video. Each agent has its own specialization and payment requirement. The orchestrator (built with elizaOS) and video generator agents both want $USDC, the song generator wants $VIRTUALS, while the script generator wants to be paid in its own Virtuals Protocol token, $LARRY. Usually this would be a massive and potentially insurmountable headache for developers. With Nevermined, it just works. Check it out:

Nevermined

11,105 просмотров • 1 год назад

SaaS is dead. Long live SaaS. In the age of AI and agents, most software companies are still clinging too tightly to their past. Their demise will come quick if they do not embrace and build the technologies that are destined to disrupt them. However those who have already done so must recognize the reality of the world we still live in today. That world still has the majority of its work done by humans who still need workflow tools and technology to get their work done. While we pivoted hard to AI and agents with Fin, which will become the majority of our business quite soon, we recognize the importance of the software our customers use and so have also decided to double down on our investment in Intercom, the world's best help desk and customer service system for how customer service is done at this age. We've reinvented it and rebuilt it to work perfectly alongside your new customer agent systems and we're announcing 60+ new customer features that comprise Intercom 2 today. intercom DOT com SLASH intercom2
0:20

SaaS is dead. Long live SaaS. In the age of AI and agents, most software companies are still clinging too tightly to their past. Their demise will come quick if they do not embrace and build the technologies that are destined to disrupt them. However those who have already done so must recognize the reality of the world we still live in today. That world still has the majority of its work done by humans who still need workflow tools and technology to get their work done. While we pivoted hard to AI and agents with Fin, which will become the majority of our business quite soon, we recognize the importance of the software our customers use and so have also decided to double down on our investment in Intercom, the world's best help desk and customer service system for how customer service is done at this age. We've reinvented it and rebuilt it to work perfectly alongside your new customer agent systems and we're announcing 60+ new customer features that comprise Intercom 2 today. intercom DOT com SLASH intercom2

Eoghan McCabe

39,120 просмотров • 2 месяцев назад

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”
2:15

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”

Corinne Marie Riley

119,410 просмотров • 7 месяцев назад

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 просмотров • 5 месяцев назад

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.
1:47

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 просмотров • 1 год назад

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch
56:43

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

GREG ISENBERG

84,027 просмотров • 1 месяц назад