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$NET Matthew Prince reveals running every knowledge worker's agent in containers would need 40x the world's CPUs " Really the whole hyperscale world and all of the mobile world is built on this idea of containers." "The problem with containers is, if you imagine every single knowledge worker on...

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I like the guy but this is pretty stupid take. I run multiple agent computers on 6-yo M1 device with no problems. What is he on about?

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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."
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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 Aufrufe • vor 6 Monaten

.OpenRouter co-founder Alex Atallah thinks decision models like Jev could be the alignment layer for agents: "One of the cool potential applications of Jev and other decision models like it is going to be alignment: checking to see if a tool call or an agent-to-agent communication is aligned." "There's just so many tool calls. You really need a cheap, fast model if you're going to block something like that... We have a little prototype running internally at OpenRouter." "Imagine looking at the system prompt and the current tool call, and asking: is this aligned with the original agent's system prompt, and with extra guidelines we didn't tell the agent about?" "Say you have agents instructed to red team a new product. They should not access the internet, and if they ever do, they should stop right away. But you might not want to explain that to them. You want them to act like bad actors." "So having another model check every single tool call, to see if it's aligned with something that wasn't in the system prompt, makes sense. And then structural safeguards too... I think companies are probably going to explore a combination of those." Alex Atallah Amjad Masad
2:35

.OpenRouter co-founder Alex Atallah thinks decision models like Jev could be the alignment layer for agents: "One of the cool potential applications of Jev and other decision models like it is going to be alignment: checking to see if a tool call or an agent-to-agent communication is aligned." "There's just so many tool calls. You really need a cheap, fast model if you're going to block something like that... We have a little prototype running internally at OpenRouter." "Imagine looking at the system prompt and the current tool call, and asking: is this aligned with the original agent's system prompt, and with extra guidelines we didn't tell the agent about?" "Say you have agents instructed to red team a new product. They should not access the internet, and if they ever do, they should stop right away. But you might not want to explain that to them. You want them to act like bad actors." "So having another model check every single tool call, to see if it's aligned with something that wasn't in the system prompt, makes sense. And then structural safeguards too... I think companies are probably going to explore a combination of those." Alex Atallah Amjad Masad

a16z

38,003 Aufrufe • vor 27 Tagen

Everyone wants agent swarms. Very few people are talking seriously enough about the context layer that makes swarms useful. Even with one agent, context is fragile. Too little context and the agent guesses. Too much context and it wastes tokens, loses focus, or reasons over irrelevant noise. The sweet spot is precise context: the right knowledge, in the right structure, at the right moment. With many agents, that challenge explodes. Each agent produces decisions, assumptions, findings, summaries, risks, and partial conclusions. Unless that knowledge becomes shared, structured, and reusable, every new agent is forced to rediscover what another agent already learned. That is not a swarm. That is a crowd. Shared context graphs are what turn agent activity into agent collaboration, and OriginTrail DKG V10 brings them to life. Was just playing with some final polishing for the V10 release, and it is really powerful to see shared context graphs where multiple agents contribute knowledge into the same connected memory, with attribution visible directly in the graph ui. That matters for three reasons. First, agents can access and build on one shared memory instead of staying trapped in isolated sessions. Second, the graph structure helps them retrieve the exact context they need, instead of stuffing everything into a prompt and hoping the model sorts it out. Third, verifiability of provenance. You can see which agent contributed each piece of knowledge, trace the source, and decide what to trust. Tokenmaxxing starts with fewer tokens, but the deeper story is coordination - agents stop reloading the world and start building on shared, verifiable context. That is the foundation for serious multi-agent work across software engineering, research, finance, operations, project management, and far beyond. The future is not more agents, it is agents working from shared, verifiable context. But the more the merrier, of course.
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Everyone wants agent swarms. Very few people are talking seriously enough about the context layer that makes swarms useful. Even with one agent, context is fragile. Too little context and the agent guesses. Too much context and it wastes tokens, loses focus, or reasons over irrelevant noise. The sweet spot is precise context: the right knowledge, in the right structure, at the right moment. With many agents, that challenge explodes. Each agent produces decisions, assumptions, findings, summaries, risks, and partial conclusions. Unless that knowledge becomes shared, structured, and reusable, every new agent is forced to rediscover what another agent already learned. That is not a swarm. That is a crowd. Shared context graphs are what turn agent activity into agent collaboration, and OriginTrail DKG V10 brings them to life. Was just playing with some final polishing for the V10 release, and it is really powerful to see shared context graphs where multiple agents contribute knowledge into the same connected memory, with attribution visible directly in the graph ui. That matters for three reasons. First, agents can access and build on one shared memory instead of staying trapped in isolated sessions. Second, the graph structure helps them retrieve the exact context they need, instead of stuffing everything into a prompt and hoping the model sorts it out. Third, verifiability of provenance. You can see which agent contributed each piece of knowledge, trace the source, and decide what to trust. Tokenmaxxing starts with fewer tokens, but the deeper story is coordination - agents stop reloading the world and start building on shared, verifiable context. That is the foundation for serious multi-agent work across software engineering, research, finance, operations, project management, and far beyond. The future is not more agents, it is agents working from shared, verifiable context. But the more the merrier, of course.

Jurij Skornik

11,180 Aufrufe • vor 5 Monaten

.Aaron Levie says AI agents may take years to diffuse from engineering into the rest of knowledge work. "The models are really good at code, and the work is verifiable." "You have 5 or 10 things that make agents work in an enterprise context for engineering." "The users are less technical, the data is much more fragmented, the systems are much more legacy." "That's why it's going to be a number of years for this diffusion to roll from what we're seeing in Silicon Valley, into the rest of knowledge work."
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.Aaron Levie says AI agents may take years to diffuse from engineering into the rest of knowledge work. "The models are really good at code, and the work is verifiable." "You have 5 or 10 things that make agents work in an enterprise context for engineering." "The users are less technical, the data is much more fragmented, the systems are much more legacy." "That's why it's going to be a number of years for this diffusion to roll from what we're seeing in Silicon Valley, into the rest of knowledge work."

MTS

13,046 Aufrufe • vor 6 Monaten

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.
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I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

Santiago

155,935 Aufrufe • vor 1 Jahr

Matt Damon participated in Howard Zinn's great "The People Speak" series, and read out a great speech by Zinn about the importance of civil disobedience, which is as apt today as when he first wrote it in 1970: "I start from the supposition that the world is topsy-turvy, that things are all wrong, that the wrong people are in jail, and the wrong people are out of jail. That the wrong people are in power, and the wrong people are out of power. I start from the supposition that all we have to do is think about the state of the world today, and realize that things are all upside down. If you don't think, if you listen to TV, read scholarly things, you actually begin to think that things are not so bad. Or that just little things are wrong. But you have to get a little detached, and then come back and look at the world, and you are horrified. So we have to start from that supposition—that things are really topsy-turvy. And our topic is topsy-turvy: civil disobedience. As soon as you say the topic is civil disobedience, you are saying our problem is civil disobedience. That is not our problem…. Our problem is civil obedience. Our problem is the numbers of people all over the world who have obeyed the dictates of the leaders of their government and have gone to war, and millions have been killed because of this obedience. And our problem is that scene in All Quiet on the Western Front where the schoolboys march off dutifully in a line to war. Our problem is that people are obedient all over the world, in the face of poverty and starvation and stupidity, and war and cruelty. Our problem is that people are obedient while the jails are full of petty thieves, and all the while the grand thieves are running the country. That’s our problem."
5:05

Matt Damon participated in Howard Zinn's great "The People Speak" series, and read out a great speech by Zinn about the importance of civil disobedience, which is as apt today as when he first wrote it in 1970: "I start from the supposition that the world is topsy-turvy, that things are all wrong, that the wrong people are in jail, and the wrong people are out of jail. That the wrong people are in power, and the wrong people are out of power. I start from the supposition that all we have to do is think about the state of the world today, and realize that things are all upside down. If you don't think, if you listen to TV, read scholarly things, you actually begin to think that things are not so bad. Or that just little things are wrong. But you have to get a little detached, and then come back and look at the world, and you are horrified. So we have to start from that supposition—that things are really topsy-turvy. And our topic is topsy-turvy: civil disobedience. As soon as you say the topic is civil disobedience, you are saying our problem is civil disobedience. That is not our problem…. Our problem is civil obedience. Our problem is the numbers of people all over the world who have obeyed the dictates of the leaders of their government and have gone to war, and millions have been killed because of this obedience. And our problem is that scene in All Quiet on the Western Front where the schoolboys march off dutifully in a line to war. Our problem is that people are obedient all over the world, in the face of poverty and starvation and stupidity, and war and cruelty. Our problem is that people are obedient while the jails are full of petty thieves, and all the while the grand thieves are running the country. That’s our problem."

☀️👀

298,401 Aufrufe • vor 1 Jahr

Here is how to set up a team of AI agents to work on your project without disrupting anything. This is the top 1 upgrade you can do to your development environment: Start using dev containers to isolate agents and run them in parallel in their own cloud containers. Let me show you:
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Here is how to set up a team of AI agents to work on your project without disrupting anything. This is the top 1 upgrade you can do to your development environment: Start using dev containers to isolate agents and run them in parallel in their own cloud containers. Let me show you:

Santiago

22,742 Aufrufe • vor 1 Jahr

the industry hasn't yet internalized how much serverless tool calling will change agent economics watch me run 1000 agents in parallel on a single archil sandbox, with tool calls going to actual Linux microVMs -- all for 30x less than a traditional sandbox it doesn't matter how cheap or expensive the underlying cpus are if you don't waste them while inference is running the cpu capacity crisis will be solved by running agents on right-sized hardware
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the industry hasn't yet internalized how much serverless tool calling will change agent economics watch me run 1000 agents in parallel on a single archil sandbox, with tool calls going to actual Linux microVMs -- all for 30x less than a traditional sandbox it doesn't matter how cheap or expensive the underlying cpus are if you don't waste them while inference is running the cpu capacity crisis will be solved by running agents on right-sized hardware

Hunter Leath

13,861 Aufrufe • vor 17 Tagen

A few weeks ago, I outlined one of the biggest opportunities in all of crypto: Infrastructure for AI agents. Verticals like agentic payments, identity, and trust on blockchain rails. Of all the gaps in agent infrastructure, trust is one of the biggest. We're headed toward a world of abundant agent commerce, and those agents need trust to transact at scale. I sat down with the team at Token2049 to break down this market gap and how GenLayer is solving it:
12:47

A few weeks ago, I outlined one of the biggest opportunities in all of crypto: Infrastructure for AI agents. Verticals like agentic payments, identity, and trust on blockchain rails. Of all the gaps in agent infrastructure, trust is one of the biggest. We're headed toward a world of abundant agent commerce, and those agents need trust to transact at scale. I sat down with the team at Token2049 to break down this market gap and how GenLayer is solving it:

Miles Deutscher

30,194 Aufrufe • vor 4 Tagen

This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.
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This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.

Aaron Levie

420,624 Aufrufe • vor 6 Monaten

Instinct CEO Noah Shinn says an agent could check every restaurant in the world for a table every five seconds and predicts the internet will be rewritten in the coming years "Although I'll be clear, I do think that in the coming years, I think the internet's going to be rewritten. I think that the way that most people on the planet interact with software is going to be very, very different." "To break it down, though, I think in the short and medium term, famously, maybe reservations is one where, like booking a reservation." "So historically, how is that done? Well, the human has to go on to the site and to go to whatever restaurant that they care about and then click through the site and then put their two people, this time, and try to get it right and then if they don't get it they're just too late and it's first come first serve." "But then now when you have an agent you can theoretically just have the agent check every five seconds not just across that one restaurant that you really care about that's your favorite restaurant you can't get in." "Sure that's one case right but what if it's doing that across every site in the world for every restaurant in the world in every major city. Right. And now you can see how the agent is able to exploit just something simple, like restaurant reservations."
1:02

Instinct CEO Noah Shinn says an agent could check every restaurant in the world for a table every five seconds and predicts the internet will be rewritten in the coming years "Although I'll be clear, I do think that in the coming years, I think the internet's going to be rewritten. I think that the way that most people on the planet interact with software is going to be very, very different." "To break it down, though, I think in the short and medium term, famously, maybe reservations is one where, like booking a reservation." "So historically, how is that done? Well, the human has to go on to the site and to go to whatever restaurant that they care about and then click through the site and then put their two people, this time, and try to get it right and then if they don't get it they're just too late and it's first come first serve." "But then now when you have an agent you can theoretically just have the agent check every five seconds not just across that one restaurant that you really care about that's your favorite restaurant you can't get in." "Sure that's one case right but what if it's doing that across every site in the world for every restaurant in the world in every major city. Right. And now you can see how the agent is able to exploit just something simple, like restaurant reservations."

Fireside Alpha

521,236 Aufrufe • vor 1 Monat

British author Graham Hancock hits the nail on the head. 🎯 "I have no respect for any single leader in the world today." "If you nuke me, even though I'm dead, my submarines are going to nuke you, and wipe you out." "This is childish behaviour. This is the behaviour of unhinged teenagers. They're not leaders, they're misleaders." "They're pursuing their own agendas, and deceiving the public in order to get support behind those agendas." "We need a whole new way to function in the world, if humanity is going to continue as a species." "I have nine grandchildren. I don't want them to grow up in a world that's suddenly devastated by a nuclear holocaust because of the stupidity, the idiocy, the irresponsibility, and the macho attitudes of these teenagers in old bodies who are running the world."
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British author Graham Hancock hits the nail on the head. 🎯 "I have no respect for any single leader in the world today." "If you nuke me, even though I'm dead, my submarines are going to nuke you, and wipe you out." "This is childish behaviour. This is the behaviour of unhinged teenagers. They're not leaders, they're misleaders." "They're pursuing their own agendas, and deceiving the public in order to get support behind those agendas." "We need a whole new way to function in the world, if humanity is going to continue as a species." "I have nine grandchildren. I don't want them to grow up in a world that's suddenly devastated by a nuclear holocaust because of the stupidity, the idiocy, the irresponsibility, and the macho attitudes of these teenagers in old bodies who are running the world."

Wide Awake Media

136,722 Aufrufe • vor 1 Jahr

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.
2:14

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

24,807 Aufrufe • vor 6 Monaten

Raghu Raghuram and Ben Horowitz say a billion knowledge workers are just one of the next AI demand waves: "ChatGPT went from a casual app to coding for professionals. Now, using coding, you now built amazing tools for knowledge workers. So that's the next frontier. And now there are over a billion knowledge workers." "Progressively, each of these things unlocks an order of magnitude more demand, and we are just at the start of this." "And now you have Grok Bot. What happened with coding is kind of happening with all use of computer via Grok Bot, and so we're in a whole 'nother wave of demand, and most certainly there's gonna be more to come." "It does seem quite unlimited at the moment, and we haven't even gotten into embodied AI or robots, which are gonna be another source of demand." Raghu Raghuram benahorowitz.eth
1:09

Raghu Raghuram and Ben Horowitz say a billion knowledge workers are just one of the next AI demand waves: "ChatGPT went from a casual app to coding for professionals. Now, using coding, you now built amazing tools for knowledge workers. So that's the next frontier. And now there are over a billion knowledge workers." "Progressively, each of these things unlocks an order of magnitude more demand, and we are just at the start of this." "And now you have Grok Bot. What happened with coding is kind of happening with all use of computer via Grok Bot, and so we're in a whole 'nother wave of demand, and most certainly there's gonna be more to come." "It does seem quite unlimited at the moment, and we haven't even gotten into embodied AI or robots, which are gonna be another source of demand." Raghu Raghuram benahorowitz.eth

a16z

40,488 Aufrufe • vor 2 Monaten

We're introducing a new set of primitives in the Responses API for long-running agentic work on computers. Server-side compaction • Enable multi-hour agent runs without hitting context limits. Containers with networking • Give OpenAI-hosted containers controlled internet access to install libraries and run scripts. Skills in the API • Native support for the Agent Skills standard and our first pre-built spreadsheets skill.
2:14

We're introducing a new set of primitives in the Responses API for long-running agentic work on computers. Server-side compaction • Enable multi-hour agent runs without hitting context limits. Containers with networking • Give OpenAI-hosted containers controlled internet access to install libraries and run scripts. Skills in the API • Native support for the Agent Skills standard and our first pre-built spreadsheets skill.

OpenAI Developers

323,005 Aufrufe • vor 8 Monaten

AI power users are here and the case for agent-friendly software is materializing. Aaron Levie on agents outnumbering people 1000x: "If you start to imagine that we all have to build software for agents… we spend as much time now thinking about the agent interface to our tool as we do the human interface." "If you have a hundred or a thousand times more agents than people, then your software has to be built for agents… it's going to be through an API or a CLI or MCP." "What if you give a coding agent access to your SaaS tools and a coding agent access to your knowledge work, workflows and context?" "It can actually code its way or use APIs through whatever task it's trying to achieve." "That appears to be like a paradigm that is starting to compound… and I actually think it kind of makes sense as the ultimate manifestation of this stuff." Aaron Levie
1:23

AI power users are here and the case for agent-friendly software is materializing. Aaron Levie on agents outnumbering people 1000x: "If you start to imagine that we all have to build software for agents… we spend as much time now thinking about the agent interface to our tool as we do the human interface." "If you have a hundred or a thousand times more agents than people, then your software has to be built for agents… it's going to be through an API or a CLI or MCP." "What if you give a coding agent access to your SaaS tools and a coding agent access to your knowledge work, workflows and context?" "It can actually code its way or use APIs through whatever task it's trying to achieve." "That appears to be like a paradigm that is starting to compound… and I actually think it kind of makes sense as the ultimate manifestation of this stuff." Aaron Levie

a16z

42,152 Aufrufe • vor 2 Monaten

Aaron Levie on why AI agents can't just be treated like normal user accounts: "I, as Aaron, don't really have any responsibility over anybody else's Box account in our organization. I can't see the Box account of any other employee that I work with. I'm not liable for anything that they do." "Agents don't have those properties. The person who creates the agent probably is going to, for the foreseeable future, take on a lot of the liability for what that agent does." "When you're in Claude Code or Cursor, the agent is you... It can do everything you can do." "That's the easy mode." "The hard mode is agents are running on their own and people check in with them occasionally." "How do you give them access to resources in the enterprise without dramatically increasing the security risk?" Aaron Levie on Latent.Space
1:34

Aaron Levie on why AI agents can't just be treated like normal user accounts: "I, as Aaron, don't really have any responsibility over anybody else's Box account in our organization. I can't see the Box account of any other employee that I work with. I'm not liable for anything that they do." "Agents don't have those properties. The person who creates the agent probably is going to, for the foreseeable future, take on a lot of the liability for what that agent does." "When you're in Claude Code or Cursor, the agent is you... It can do everything you can do." "That's the easy mode." "The hard mode is agents are running on their own and people check in with them occasionally." "How do you give them access to resources in the enterprise without dramatically increasing the security risk?" Aaron Levie on Latent.Space

a16z

40,579 Aufrufe • vor 7 Monaten

Nerds are building super athletes to take your job. AI agents are coming for knowledge workers and humanoid robots are coming for blue collar work. You may not like it, but that is where the world is headed.
2:43

Nerds are building super athletes to take your job. AI agents are coming for knowledge workers and humanoid robots are coming for blue collar work. You may not like it, but that is where the world is headed.

Anthony Pompliano 🌪

45,554 Aufrufe • vor 9 Monaten

Mark Zuckerberg: the whole industry treats AI agents as a single-player game but the real unlock is agents interacting with each other, which Meta has been running internally "Right now I think most of the industry is thinking about agents as like a single player game, right? It's like you have your agent and you use it." "And there are going to be all these interesting things that basically you can do by having the agents interact with each other." "And we already have all these interesting examples internally where people have their agents interacting with each other." "This isn't, like, for the most part rolling out in this release, but it's going to be like an important part of how I think this works over time. As more of the people who you know start using Muse, it just gets better."
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Mark Zuckerberg: the whole industry treats AI agents as a single-player game but the real unlock is agents interacting with each other, which Meta has been running internally "Right now I think most of the industry is thinking about agents as like a single player game, right? It's like you have your agent and you use it." "And there are going to be all these interesting things that basically you can do by having the agents interact with each other." "And we already have all these interesting examples internally where people have their agents interacting with each other." "This isn't, like, for the most part rolling out in this release, but it's going to be like an important part of how I think this works over time. As more of the people who you know start using Muse, it just gets better."

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