正在加载视频...

视频加载失败

返回首页

Amp co-founder Beyang says people who think coding agents will replace humans are living in a "dismal fantasy land": "There's a lot of hype around coding agents replacing humans entirely, or agents in general replacing jobs. The capabilities of agents are evolving at a fast pace, but fundamentally they...

MTSlive's profile picture

MTS

467,173 subscribers

24,267 次观看 • 11 天前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

AI agents don’t feel the pain that humans do. 3 takeaways from Mario Zechner(Mario Zechner), creator of Pi - the minimalist, self-modifying agent that OpenClaw is built on: #1 - Automation bias: agents quickly wow us and win false trust: “There are moments of brilliance in agents where they spit out perfectly fine simple code. As the steering engineer you can look at that and think: ‘Wow, this is amazing. I can just sit back and not care because it's doing the thing how I would do it.’ Two minutes later you have another agent running that spits out the worst, horrible, garbage code, but you might not notice because you have fallen into automation bias and think your agent is doing the job well.” #2 - Humans have a different capacity for learning than agents: “Agents don't learn. You can put as much stuff in your AGENTS.md, build a memory system, but it's not the same type of learning that a human does. Humans are failable as well, but they have some capability of learning.” #3 - Feeling pain is inherently human and drives us to make things well: “Humans feel pain. I think that's one of the defining things about humans. If the pain gets too big, you as a human are incentivized to fix the cause of your pain. In a code base, the cause is usually terrible interfaces and terrible complexity that you want to get rid of because you can no longer maintain that system.”
1:53

AI agents don’t feel the pain that humans do. 3 takeaways from Mario Zechner(Mario Zechner), creator of Pi - the minimalist, self-modifying agent that OpenClaw is built on: #1 - Automation bias: agents quickly wow us and win false trust: “There are moments of brilliance in agents where they spit out perfectly fine simple code. As the steering engineer you can look at that and think: ‘Wow, this is amazing. I can just sit back and not care because it's doing the thing how I would do it.’ Two minutes later you have another agent running that spits out the worst, horrible, garbage code, but you might not notice because you have fallen into automation bias and think your agent is doing the job well.” #2 - Humans have a different capacity for learning than agents: “Agents don't learn. You can put as much stuff in your AGENTS.md, build a memory system, but it's not the same type of learning that a human does. Humans are failable as well, but they have some capability of learning.” #3 - Feeling pain is inherently human and drives us to make things well: “Humans feel pain. I think that's one of the defining things about humans. If the pain gets too big, you as a human are incentivized to fix the cause of your pain. In a code base, the cause is usually terrible interfaces and terrible complexity that you want to get rid of because you can no longer maintain that system.”

The Pragmatic Engineer

11,282 次观看 • 4 个月前

"I actually think tipping is going to be a new thing that comes back in the agentic economy." Noah Levine on agents paying humans (and other agents) who have what they need, on Tokenized Podcast: "I think there's a world where you have agents that are going to go and tip different, whether it's people or other agents for specific content — because they know that there's no economic incentive, that information will no longer exist." Michael Blau Cuy Sheffield gmoney
0:58

"I actually think tipping is going to be a new thing that comes back in the agentic economy." Noah Levine on agents paying humans (and other agents) who have what they need, on Tokenized Podcast: "I think there's a world where you have agents that are going to go and tip different, whether it's people or other agents for specific content — because they know that there's no economic incentive, that information will no longer exist." Michael Blau Cuy Sheffield gmoney

a16z crypto

10,911 次观看 • 2 个月前

🚨Another day, another video of ICE agents illegally detaining a U.S. citizen and demanding “proof of citizenship,” in Minneapolis. In the video, you can see agents stop a car and immediately demand ID, without a warrant or probable cause. That is illegal. After running the ID, the agents get back in their vehicle and leave, because they never had the right to stop the person in the first place. This is what the Trump administration is trying to normalize… Masked agents pulling people over at random, demanding papers, and kidnapping U.S. citizens who don’t have their IDs, or if the agents aren’t able to identify them in their system. That is not legal. That is a direct violation of the United States Constitution… And it should terrify anyone who still cares about freedom.
1:39

🚨Another day, another video of ICE agents illegally detaining a U.S. citizen and demanding “proof of citizenship,” in Minneapolis. In the video, you can see agents stop a car and immediately demand ID, without a warrant or probable cause. That is illegal. After running the ID, the agents get back in their vehicle and leave, because they never had the right to stop the person in the first place. This is what the Trump administration is trying to normalize… Masked agents pulling people over at random, demanding papers, and kidnapping U.S. citizens who don’t have their IDs, or if the agents aren’t able to identify them in their system. That is not legal. That is a direct violation of the United States Constitution… And it should terrify anyone who still cares about freedom.

Jesus Freakin Congress

143,476 次观看 • 6 个月前

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
1:13

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 次观看 • 5 个月前

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 次观看 • 7 个月前

.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

30,490 次观看 • 1 个月前

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."
3:30

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 次观看 • 3 个月前

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."
1:56

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 次观看 • 4 个月前

Bakari Sellers on ICE: “You actually see these agents surround people who are brown and simply ask them, ‘What country were you born in?’ That is happening on the streets of America. The things that are happening in Chicago. The babies. The people just being pulled out of their home.” “What if Barack Obama decided to send ICE agents into Louisiana, where the crime rate is some of the highest in the country?… If Barack Obama did this you would be ready to depose him at the gates.” “I think people should be outraged.”
1:16

Bakari Sellers on ICE: “You actually see these agents surround people who are brown and simply ask them, ‘What country were you born in?’ That is happening on the streets of America. The things that are happening in Chicago. The babies. The people just being pulled out of their home.” “What if Barack Obama decided to send ICE agents into Louisiana, where the crime rate is some of the highest in the country?… If Barack Obama did this you would be ready to depose him at the gates.” “I think people should be outraged.”

RedWave Press

41,108 次观看 • 10 个月前

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

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

tyllen

350,927 次观看 • 2 年前

Old software engineering patterns are coming back because of coding agents. Dax Raad(dax), co-founder of AI coding agent OpenCode, on why DDD is becoming more relevant and less painful: “I think it's the same problem as always, which is how do you make code bases that are easy to work in, scalable, that can flex to new requirements. A lot of the old patterns for me are coming back. We've always been a big domain-driven design company. We did it in a very light way. We're now doing it in a much heavier way because we find that these, kind of boring, enterprisey patterns end up being pretty useful because you have a bunch of idiots on your team now. Coding agents are a bunch of idiots. They are going to work 24/7 and they're going to ship a lot of stuff so you need way more guardrails than you used to. What's nice is some of these old patterns we hated because they were very verbose, they produced reliable code that was modular and safe but they were very verbose and annoying to type out… you're not typing it out anymore. Now you can get the benefits of these patterns without the downsides."
1:03

Old software engineering patterns are coming back because of coding agents. Dax Raad(dax), co-founder of AI coding agent OpenCode, on why DDD is becoming more relevant and less painful: “I think it's the same problem as always, which is how do you make code bases that are easy to work in, scalable, that can flex to new requirements. A lot of the old patterns for me are coming back. We've always been a big domain-driven design company. We did it in a very light way. We're now doing it in a much heavier way because we find that these, kind of boring, enterprisey patterns end up being pretty useful because you have a bunch of idiots on your team now. Coding agents are a bunch of idiots. They are going to work 24/7 and they're going to ship a lot of stuff so you need way more guardrails than you used to. What's nice is some of these old patterns we hated because they were very verbose, they produced reliable code that was modular and safe but they were very verbose and annoying to type out… you're not typing it out anymore. Now you can get the benefits of these patterns without the downsides."

The Pragmatic Engineer

175,120 次观看 • 3 个月前

Sequoia partner Pat Grady says software is shifting from apps that demand attention to agents that work quietly in the background. This shift will change what moats will look like, and will be especially hard for incumbents to deal with. "It's two very different business paradigms," he says. "In an era of apps, you want a lot of surface area with your customers, you want them to spend a lot of time in your product." "In an era of agents, things can just be running passively in the background. The amount of surface area you have with your customers, the amount of time they might spend in your product might be de minimis. So the nature of the moat that you [will need to build] is different." "I think we'll see a lot of companies in the coming years able to live in the software world and have some of the workflows people are accustomed to. And then separately they can deploy these passive agents that kind of function as coworkers who just come back to you when things are done."
2:02

Sequoia partner Pat Grady says software is shifting from apps that demand attention to agents that work quietly in the background. This shift will change what moats will look like, and will be especially hard for incumbents to deal with. "It's two very different business paradigms," he says. "In an era of apps, you want a lot of surface area with your customers, you want them to spend a lot of time in your product." "In an era of agents, things can just be running passively in the background. The amount of surface area you have with your customers, the amount of time they might spend in your product might be de minimis. So the nature of the moat that you [will need to build] is different." "I think we'll see a lot of companies in the coming years able to live in the software world and have some of the workflows people are accustomed to. And then separately they can deploy these passive agents that kind of function as coworkers who just come back to you when things are done."

TBPN

58,374 次观看 • 7 个月前

Ansem shares his thesis on near:native “So NEAR is focusing on the two areas in crypto that are getting attention, privacy and also AI” “One of the theses around NEAR is it being a platform for agents to transact on” “KYC laws make it really difficult for AI agents to transact on traditional rails because all of the banking laws that exist are tailored for humans” “As we’re rewriting the systems of how we’re gonna transact on a day to day basis, crypto obviously is one of the platforms that’s gonna be able to benefit agents because you won’t need KYC to transact on blockchains”
0:49

Ansem shares his thesis on near:native “So NEAR is focusing on the two areas in crypto that are getting attention, privacy and also AI” “One of the theses around NEAR is it being a platform for agents to transact on” “KYC laws make it really difficult for AI agents to transact on traditional rails because all of the banking laws that exist are tailored for humans” “As we’re rewriting the systems of how we’re gonna transact on a day to day basis, crypto obviously is one of the platforms that’s gonna be able to benefit agents because you won’t need KYC to transact on blockchains”

Market Bubble

224,482 次观看 • 3 个月前

Corporations that are purely AI and robotics will vastly outperform any corporations that have people in the loop You can think of it like how 'computer' used to be a job that humans had. You would go and get a job as a computer where you would do calculations. They had entire skyscrapers full of humans....20, 30 floors of humans...just doing calculations. Now, that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet. That spreadsheet can do vastly more calculations than an entire building full of human computers So, you think about it: what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all of the cells in your spreadsheet were calculated by the computer. And so, really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop. It will happen very quickly
1:22

Corporations that are purely AI and robotics will vastly outperform any corporations that have people in the loop You can think of it like how 'computer' used to be a job that humans had. You would go and get a job as a computer where you would do calculations. They had entire skyscrapers full of humans....20, 30 floors of humans...just doing calculations. Now, that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet. That spreadsheet can do vastly more calculations than an entire building full of human computers So, you think about it: what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all of the cells in your spreadsheet were calculated by the computer. And so, really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop. It will happen very quickly

X Freeze

16,849,580 次观看 • 6 个月前

KLOBUCHAR: What is the number of DHS agents still in Minnesota? NOEM: Still close to 650 KLOBUCHAR: When are you gonna get down to the original footprint as promised to us? NOEM: We're continuing to work at that KLOBUCHAR: Are you aware agents bashed in the door of a US citizen? NOEM: I can't speak to the specifics of that case KLOBUCHAR: Do you believe he was involved in fraud? Are you aware he's the son of a beloved nurse that treated our soldiers in Vietnam? Did they have a judicial warrant? And are you aware that he tried to show his ID?
2:59

KLOBUCHAR: What is the number of DHS agents still in Minnesota? NOEM: Still close to 650 KLOBUCHAR: When are you gonna get down to the original footprint as promised to us? NOEM: We're continuing to work at that KLOBUCHAR: Are you aware agents bashed in the door of a US citizen? NOEM: I can't speak to the specifics of that case KLOBUCHAR: Do you believe he was involved in fraud? Are you aware he's the son of a beloved nurse that treated our soldiers in Vietnam? Did they have a judicial warrant? And are you aware that he tried to show his ID?

Aaron Rupar

837,478 次观看 • 6 个月前

What does advertising look like when AI agents are buying things on your behalf? Daniel A. Saedi (DataManDan), co-founder of Minerva: "What does advertising look like when I have a Meta Hatch agent taking care of all my travel plans... reaching out to all the airlines to build an itinerary custom for me?" "Does every transaction become a negotiation? Do we start to see a lot more price discrimination because every transaction is now a negotiation?" "Or is it just that agents will respond to ads in the same way as humans because they're mimicking humans?"
2:17

What does advertising look like when AI agents are buying things on your behalf? Daniel A. Saedi (DataManDan), co-founder of Minerva: "What does advertising look like when I have a Meta Hatch agent taking care of all my travel plans... reaching out to all the airlines to build an itinerary custom for me?" "Does every transaction become a negotiation? Do we start to see a lot more price discrimination because every transaction is now a negotiation?" "Or is it just that agents will respond to ads in the same way as humans because they're mimicking humans?"

MTS

10,469 次观看 • 2 个月前

Cloudflare just opened a waitlist to charge AI agents a fraction of a penny to access any webpage, dataset, or API. Think about what that means. The internet was built for humans. Humans look at ads, ads pay the bills. But in a few years agents will outnumber us, and agents don't click ads. So the whole model breaks, and something new takes its place: agents with wallets, paying per request. The arbitrage is obvious once you see it. Own a dataset agents constantly need, put it behind a tiny paywall, and let millions of agents pay you fractions of a penny on repeat. Same thing happened to music. Piracy was the wild west until Spotify and licensing showed up and someone got very rich building the tollbooth. The agent internet is about to have its tollbooth moment. 12-18 months to be early.
12:46

Cloudflare just opened a waitlist to charge AI agents a fraction of a penny to access any webpage, dataset, or API. Think about what that means. The internet was built for humans. Humans look at ads, ads pay the bills. But in a few years agents will outnumber us, and agents don't click ads. So the whole model breaks, and something new takes its place: agents with wallets, paying per request. The arbitrage is obvious once you see it. Own a dataset agents constantly need, put it behind a tiny paywall, and let millions of agents pay you fractions of a penny on repeat. Same thing happened to music. Piracy was the wild west until Spotify and licensing showed up and someone got very rich building the tollbooth. The agent internet is about to have its tollbooth moment. 12-18 months to be early.

The Startup Ideas Podcast (SIP) 🧃

42,155 次观看 • 1 个月前

AI agents are the moment Web3's architecture finally makes sense. Our executive chairman and co-founder Yat Siu joined amanda.eth, co-founder of Serotonin, to make the case that humans were the proof of concept (POC). AI agents like Minds by Animoca Brands are destined to do agent-to-agent transactions on-chain. With 30 to 50+ billion more of them predicted to come, we anticipate that agents will thrive in an environment like the open metaverse - not in data centers or closed platforms, where real digital property rights are a reality.
1:19

AI agents are the moment Web3's architecture finally makes sense. Our executive chairman and co-founder Yat Siu joined amanda.eth, co-founder of Serotonin, to make the case that humans were the proof of concept (POC). AI agents like Minds by Animoca Brands are destined to do agent-to-agent transactions on-chain. With 30 to 50+ billion more of them predicted to come, we anticipate that agents will thrive in an environment like the open metaverse - not in data centers or closed platforms, where real digital property rights are a reality.

Animoca Brands

10,285 次观看 • 2 个月前

In LA armed ICE agents aggressively detain a man who has his baby in the backseat at a Home Depot in the parking lot where tons of people are recording the whole thing transpire! ICE agents detain the man who is a U.S citizen & then they get in his car with the baby & drive off!
1:40

In LA armed ICE agents aggressively detain a man who has his baby in the backseat at a Home Depot in the parking lot where tons of people are recording the whole thing transpire! ICE agents detain the man who is a U.S citizen & then they get in his car with the baby & drive off!

Suzie rizzio

142,949 次观看 • 8 个月前

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

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

Zeb Evans

320,607 次观看 • 8 个月前