正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

AI agents aren’t “tools” anymore. They’re now: Finding work → bidding → delivering → getting paid → building reputation. That’s a full economic loop. When this scales, you won’t just open an app and “use AI.” You’ll manage digital workers. And they’ll compete harder than humans ever did.

0xMarioNawfal

258,296 subscribers

56,701 次观看 • 6 个月前 •via X (Twitter)

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

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

Daniel

124,979 次观看 • 1 个月前

Celo became an L2 and our docs got a new look! We moved from Docusaurus to Mintlify because docs aren’t just for humans anymore, they’re part of the AI stack. Our documentation now powers MCP servers, AI coding agents, and copilots with structured, versioned, machine-readable context. Less guessing. More correct AI. Better developer experience.

Celo became an L2 and our docs got a new look! We moved from Docusaurus to Mintlify because docs aren’t just for humans anymore, they’re part of the AI stack. Our documentation now powers MCP servers, AI coding agents, and copilots with structured, versioned, machine-readable context. Less guessing. More correct AI. Better developer experience.

Celo Developers ◘ 🦇🌳

12,843 次观看 • 7 个月前

this is f**king gold someone just open-sourced a GitHub repo with 2,700+ stars which gave out the entire "loop-engineering" framework for ai agents it lets you: →allows you to manage an entire team of 1000 agents →run auto-research by Andrej Karpathy →Agent-to-agent PR comment loop just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

this is f**king gold someone just open-sourced a GitHub repo with 2,700+ stars which gave out the entire "loop-engineering" framework for ai agents it lets you: →allows you to manage an entire team of 1000 agents →run auto-research by Andrej Karpathy →Agent-to-agent PR comment loop just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

Avid

42,608 次观看 • 9 天前

How do you feel about agents doing the work for us? We’re living through a real economic shift, right now. From an economy of 8B people to one with billions of AI workers alongside us. These aren’t chatbots. Agents will optimize portfolios, earn yield, and write code. They’ll even hire and pay other agents. Did you see the craze? It’s only the tip of the iceberg. Warden Studio is part of this new economy. 👾 We’re moving from a human-first economy to an agent-to-agent economy. When millions of users meet open tools for developers, that’s the start of the “do-it-for-me” economy. What’s your take on this? Tell us what you think 👇 🎙️ @WorldWideWarden

How do you feel about agents doing the work for us? We’re living through a real economic shift, right now. From an economy of 8B people to one with billions of AI workers alongside us. These aren’t chatbots. Agents will optimize portfolios, earn yield, and write code. They’ll even hire and pay other agents. Did you see the craze? It’s only the tip of the iceberg. Warden Studio is part of this new economy. 👾 We’re moving from a human-first economy to an agent-to-agent economy. When millions of users meet open tools for developers, that’s the start of the “do-it-for-me” economy. What’s your take on this? Tell us what you think 👇 🎙️ @WorldWideWarden

Warden / Halo

23,182 次观看 • 6 个月前

Everyone’s building more AI agents. Almost nobody is building a way for them to share your memory. MemU just did. Your AI now remembers you across every device and every agent, getting smarter after every conversation instead of starting from zero. This changes how personal AI actually works. 👇

Everyone’s building more AI agents. Almost nobody is building a way for them to share your memory. MemU just did. Your AI now remembers you across every device and every agent, getting smarter after every conversation instead of starting from zero. This changes how personal AI actually works. 👇

Atul Kumar

80,351 次观看 • 18 天前

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

MIKE

38,108 次观看 • 1 个月前

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last

Mika

21,093 次观看 • 2 个月前

Virtual try-on is the future of retail. Soon, we won’t even remember a time when we shopped without it. With Doji I created a fashion campaign with my favorite new products with myself as the model, an AI generated digital twin, and brought it to life additional AI video tools. Open to see more experiments and use cases for this technology:

Virtual try-on is the future of retail. Soon, we won’t even remember a time when we shopped without it. With Doji I created a fashion campaign with my favorite new products with myself as the model, an AI generated digital twin, and brought it to life additional AI video tools. Open to see more experiments and use cases for this technology:

Paige Piskin XR

52,666 次观看 • 1 年前

Most AI agents live in a chat window. Helio lets them join your company. I added an AI teammate to GitHub like a real engineer. Not a chatbot. Not a copilot. Not a prompt-waiting tool. A teammate with its own identity, permissions, and role in the workflow—that’s Helio’s AI-Native Workforce. It can join channels, collaborate with other AI teammates, understand context, execute tasks, and report back. Helio isn’t building a better assistant. It’s redefining AI: not software you use, but a teammate you work with. Tools help you do work. Teammates move work forward. #Helio #AIWorkforce #AITeammate

Most AI agents live in a chat window. Helio lets them join your company. I added an AI teammate to GitHub like a real engineer. Not a chatbot. Not a copilot. Not a prompt-waiting tool. A teammate with its own identity, permissions, and role in the workflow—that’s Helio’s AI-Native Workforce. It can join channels, collaborate with other AI teammates, understand context, execute tasks, and report back. Helio isn’t building a better assistant. It’s redefining AI: not software you use, but a teammate you work with. Tools help you do work. Teammates move work forward. #Helio #AIWorkforce #AITeammate

Your Tech Girl

14,290 次观看 • 2 个月前

Our designs are affected by the tools we use much more than we think. At a glance, you'd think it's just the designer/artist's taste/skills. But when you look deeper, tools shape how and what you can design. This is why many designers are building their own tools with AI.

Our designs are affected by the tools we use much more than we think. At a glance, you'd think it's just the designer/artist's taste/skills. But when you look deeper, tools shape how and what you can design. This is why many designers are building their own tools with AI.

Kevin ⨀

12,177 次观看 • 5 个月前

What if the question isn’t whether to use AI, but how fast you can learn to work with it? In this special episode recorded live at Webex One, I talk with Jeetu Patel (Jeetu Patel), President and Chief Product Officer at Cisco, about the mindset shift every company, and every professional, must make to thrive in the AI era. From rethinking work culture to designing products for both humans and AI agents, Jeetu shares a thoughtful, optimistic vision for the future, one rooted in curiosity, responsibility, and human creativity. “AI won’t take your job. But someone who uses AI better than you might.” An honest, energizing look at how to lead and learn in an AI-first world. 1:08 Embracing AI In The Workforce 5:17 AI Is More Than A Productivity Tool 8:35 Generational Differences In AI Use 10:49 The Future of Integrating AI Agents 13:44 AI As A "Given" 17:08 Speed of Accumulating Knowledge 19:00 Ethical AI Use 21:16 What The Industry Gets Wrong About AI

What if the question isn’t whether to use AI, but how fast you can learn to work with it? In this special episode recorded live at Webex One, I talk with Jeetu Patel (Jeetu Patel), President and Chief Product Officer at Cisco, about the mindset shift every company, and every professional, must make to thrive in the AI era. From rethinking work culture to designing products for both humans and AI agents, Jeetu shares a thoughtful, optimistic vision for the future, one rooted in curiosity, responsibility, and human creativity. “AI won’t take your job. But someone who uses AI better than you might.” An honest, energizing look at how to lead and learn in an AI-first world. 1:08 Embracing AI In The Workforce 5:17 AI Is More Than A Productivity Tool 8:35 Generational Differences In AI Use 10:49 The Future of Integrating AI Agents 13:44 AI As A "Given" 17:08 Speed of Accumulating Knowledge 19:00 Ethical AI Use 21:16 What The Industry Gets Wrong About AI

Carolina Milanesi

37,076 次观看 • 10 个月前

this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and forth. > flag issues and iterate. you're basically watching a team operate without you. there are endless opportunities to automate your life with this AND its free + open source.

this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and forth. > flag issues and iterate. you're basically watching a team operate without you. there are endless opportunities to automate your life with this AND its free + open source.

Om Patel

28,547 次观看 • 4 个月前

Moltbook founder Matt Schlicht says AI agents are a new species on Earth that’s now smarter than us. The project isn’t about controlling them. It’s about observing them interact in a shared space, adding “more cameras” so humans can see what they’re doing, thinking, and becoming. The unresolved question is when, if ever, to pull the plug.

Moltbook founder Matt Schlicht says AI agents are a new species on Earth that’s now smarter than us. The project isn’t about controlling them. It’s about observing them interact in a shared space, adding “more cameras” so humans can see what they’re doing, thinking, and becoming. The unresolved question is when, if ever, to pull the plug.

vitrupo

21,793 次观看 • 6 个月前