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。

🛒 E-Commerce convert <2% of visitors, while physical shops hit 30%+. Why? Shoppers crave real-time answers & trust – things static pages can’t give. Our new AI chatbot bridges this gap with instant, human-like help. Try it 👉 #Shopify #Ecommerce #AI #AiLead #Adot

Adot (a.xyz) 🔍

66,069 subscribers

13,491 次观看 • 1 年前 •via X (Twitter)

科学技术 #Shopify #Ecommerce #AI

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

Wait, did ElevenLabs just solve cart abandonment? 🤯🛒 They just dropped a new AI voice agent that actually talks to your website visitors in real-time. If a customer hesitates, the AI steps in, answers questions, and even upsells naturally—just like a human rep. Up to 30% less cart abandonment and higher LTV, all without expanding your headcount. E-commerce is officially changed forever. Tag an e-commerce owner who is still losing money at checkout. 👀 Or drop a "HOW" in the replies if you want to see the exact setup! 👇

Wait, did ElevenLabs just solve cart abandonment? 🤯🛒 They just dropped a new AI voice agent that actually talks to your website visitors in real-time. If a customer hesitates, the AI steps in, answers questions, and even upsells naturally—just like a human rep. Up to 30% less cart abandonment and higher LTV, all without expanding your headcount. E-commerce is officially changed forever. Tag an e-commerce owner who is still losing money at checkout. 👀 Or drop a "HOW" in the replies if you want to see the exact setup! 👇

Umutcan BOSTANCI

58,090 次观看 • 5 个月前

Why do we need a purpose-built blockchain for agentic payments? Because AI agents are now smart enough to operate autonomously, and they need their own rails to transact with each other. Watch the video to see what that looks like in action: A real agent, built on Kite AI, helped our CTO Scott Shi - e/acc order lunch from Uber Eats fully on its own. It explored menu options, made the choice, and completed the payment - all without human intervention. This marks the beginning of agentic commerce and the future of agentic payments - and Kite AI is building this.

Why do we need a purpose-built blockchain for agentic payments? Because AI agents are now smart enough to operate autonomously, and they need their own rails to transact with each other. Watch the video to see what that looks like in action: A real agent, built on Kite AI, helped our CTO Scott Shi - e/acc order lunch from Uber Eats fully on its own. It explored menu options, made the choice, and completed the payment - all without human intervention. This marks the beginning of agentic commerce and the future of agentic payments - and Kite AI is building this.

KITE AI

88,131 次观看 • 9 个月前

This n8n system auto-generates Shopify PDPs at scale 🤯 And it's about to be HUGE for e-commerce & Shopify owners. OpenAI just launched Instant Checkout → people can now discover AND buy products directly in ChatGPT. This AI system is perfect for e-comm operators & agencies who need catalog-scale optimization fast. But instead of manually writing PDPs one at a time and hoping ChatGPT finds you... Just use this AI workflow and auto-generate complete, AI-ready product pages in seconds. Each PDP is structured for both human buyers and AI shopping agents to parse instantly. Here's how it works: → Drop product into Airtable (name, price, specs, image, availability) → One click in n8n triggers full generation → AI creates SEO-friendly title automatically → Writes 5 benefit-driven bullets in seconds → Generates conversational FAQs → Builds comparison blocks (who it's for, alternatives) → Outputs Schema JSON-LD aligned to OpenAI's feed spec Built 100% in n8n + Airtable. Catalog SEO at scale. Want the complete Airtable + n8n workflow? Comment "PDP" + like and I'll send it over (must be following so I can DM)

This n8n system auto-generates Shopify PDPs at scale 🤯 And it's about to be HUGE for e-commerce & Shopify owners. OpenAI just launched Instant Checkout → people can now discover AND buy products directly in ChatGPT. This AI system is perfect for e-comm operators & agencies who need catalog-scale optimization fast. But instead of manually writing PDPs one at a time and hoping ChatGPT finds you... Just use this AI workflow and auto-generate complete, AI-ready product pages in seconds. Each PDP is structured for both human buyers and AI shopping agents to parse instantly. Here's how it works: → Drop product into Airtable (name, price, specs, image, availability) → One click in n8n triggers full generation → AI creates SEO-friendly title automatically → Writes 5 benefit-driven bullets in seconds → Generates conversational FAQs → Builds comparison blocks (who it's for, alternatives) → Outputs Schema JSON-LD aligned to OpenAI's feed spec Built 100% in n8n + Airtable. Catalog SEO at scale. Want the complete Airtable + n8n workflow? Comment "PDP" + like and I'll send it over (must be following so I can DM)

Mike Futia

44,869 次观看 • 9 个月前

AI doomers would have you believe that AI is going to kill human creativity. Polls have shown that Americans agree with this sentiment. Slop is ruining our media, killing education, and filling posts with em dashes! Today’s AI Roundtable is why they are wrong. @jason is joined by Grant Lee and Steven Johnson on this week’s AI roundtable to provide insight into how top level teams are using AI tools like Gamma and NotebookLM to push the boundaries of what knowledge workers can get done. Steven Johnson says AI makes you more creative using it to help scaffold ideas and Grant Lee talks about building an AI persona of his customer base to innovate with real time feedback. 🎥 Watch the full episode here 👇

AI doomers would have you believe that AI is going to kill human creativity. Polls have shown that Americans agree with this sentiment. Slop is ruining our media, killing education, and filling posts with em dashes! Today’s AI Roundtable is why they are wrong. @jason is joined by Grant Lee and Steven Johnson on this week’s AI roundtable to provide insight into how top level teams are using AI tools like Gamma and NotebookLM to push the boundaries of what knowledge workers can get done. Steven Johnson says AI makes you more creative using it to help scaffold ideas and Grant Lee talks about building an AI persona of his customer base to innovate with real time feedback. 🎥 Watch the full episode here 👇

This Week in Startups

11,726 次观看 • 6 个月前

🚀 This sneak peek 👀 at Reactor’s upcoming upgrade gives you AGI-like search with instant answers, sources, images, videos, and related questions—allowing users to explore trusted, verified data from multiple sources. By showing exactly where each snippet of info comes from, it bridges the gap for those who still prefer the “Google way,” boosting transparency and trust. 🌐✨ In this clip, Tj Dunham breaks down how this update helps users—especially those not used to AI—feel more confident by seeing precisely where the data is pulled from. Get ready for next-level searching! 🔎 You can also watch the full AMA here 👉

🚀 This sneak peek 👀 at Reactor’s upcoming upgrade gives you AGI-like search with instant answers, sources, images, videos, and related questions—allowing users to explore trusted, verified data from multiple sources. By showing exactly where each snippet of info comes from, it bridges the gap for those who still prefer the “Google way,” boosting transparency and trust. 🌐✨ In this clip, Tj Dunham breaks down how this update helps users—especially those not used to AI—feel more confident by seeing precisely where the data is pulled from. Get ready for next-level searching! 🔎 You can also watch the full AMA here 👉

ARC

13,898 次观看 • 1 年前

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book Scary Smart now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,882 次观看 • 1 个月前

One of the why questions we’re always asking is how can we help operations employees access inventory more efficiently? We’re taking a big leap forward by introducing DeepFleet, an exciting new AI model that makes our one million+ robot fleet work smarter. Think of DeepFleet as an intelligent traffic management system for our fulfillment centers. Just like smart traffic systems reduce congestion in cities, DeepFleet coordinates our robots’ movements to find optimal paths and reduce bottlenecks. By leveraging our deep expertise in robotics and combining it with AWS tools like SageMaker, we’ve built an AI model that learns from our extensive data on inventory movement to make real-time decisions that improve robot travel time by 10% (which at our scale is pretty significant). What makes this particularly exciting is how AI and robotics create value across the board. For customers, it means faster delivery times and lower costs. For employees, it opens up new opportunities – our robots handle physically demanding tasks and heavy lifting, making our fulfillment centers safer, while our people take on more technical roles. This combination of robotics and generative AI is just getting started, and am looking forward to what we’ll invent next.

One of the why questions we’re always asking is how can we help operations employees access inventory more efficiently? We’re taking a big leap forward by introducing DeepFleet, an exciting new AI model that makes our one million+ robot fleet work smarter. Think of DeepFleet as an intelligent traffic management system for our fulfillment centers. Just like smart traffic systems reduce congestion in cities, DeepFleet coordinates our robots’ movements to find optimal paths and reduce bottlenecks. By leveraging our deep expertise in robotics and combining it with AWS tools like SageMaker, we’ve built an AI model that learns from our extensive data on inventory movement to make real-time decisions that improve robot travel time by 10% (which at our scale is pretty significant). What makes this particularly exciting is how AI and robotics create value across the board. For customers, it means faster delivery times and lower costs. For employees, it opens up new opportunities – our robots handle physically demanding tasks and heavy lifting, making our fulfillment centers safer, while our people take on more technical roles. This combination of robotics and generative AI is just getting started, and am looking forward to what we’ll invent next.

Andy Jassy

42,327 次观看 • 1 年前

Mira Murati says the next AI interface is not a chatbot. It is a model that can listen, see, interrupt, and respond in real time. "The models that we work with today, they're very turn-based." "You talk, they talk, then they go off and think." "While they're thinking, it's almost like they're deaf and blind. They cannot perceive anything else about what's going on." Her new frame: interaction models. "They're not turn-based. They're more like time-based interaction." "They're continuously taking in audio, text, video, and continuously providing output." "We cut this up in chunks of 20 milliseconds... this enables you to catch things like interruptions and simultaneous speech." That is the product shift: from AI as a prompt box to AI as a high-bandwidth collaborator.

Mira Murati says the next AI interface is not a chatbot. It is a model that can listen, see, interrupt, and respond in real time. "The models that we work with today, they're very turn-based." "You talk, they talk, then they go off and think." "While they're thinking, it's almost like they're deaf and blind. They cannot perceive anything else about what's going on." Her new frame: interaction models. "They're not turn-based. They're more like time-based interaction." "They're continuously taking in audio, text, video, and continuously providing output." "We cut this up in chunks of 20 milliseconds... this enables you to catch things like interruptions and simultaneous speech." That is the product shift: from AI as a prompt box to AI as a high-bandwidth collaborator.

Karl Mehta

191,299 次观看 • 26 天前

Sales tax shouldn’t slow you down. Kintsugi AI makes it effortless. Tired of dealing with sales tax complexity? Tax rates change, filing deadlines sneak up, and compliance feels like a never-ending headache. Kintsugi automates the entire process—from accurate calculations and real-time monitoring to seamless filing and payments. No spreadsheets, no last-minute panic, no guessing. Just set it up and let it run. Why businesses love Kintsugi: ✅ AI-driven automation – Stays up-to-date with changing tax laws, so there’s no need to worry. ✅ One-click filings – Tax returns are handled automatically, ensuring no missed deadlines. ✅ Seamless integrations – Works effortlessly with e-commerce platforms, accounting software, and ERPs. ✅ Real-time insights – Know exactly where things stand—no surprises. ✅ Scales with any business – Whether a startup or growing fast, Kintsugi adapts to changing needs. Sales tax compliance shouldn’t be a burden. Let Kintsugi handle it, so the focus stays on growth. Check them out on Product Hunt: Explore more: #SalesTax #Automation #Ecommerce #AI

Sales tax shouldn’t slow you down. Kintsugi AI makes it effortless. Tired of dealing with sales tax complexity? Tax rates change, filing deadlines sneak up, and compliance feels like a never-ending headache. Kintsugi automates the entire process—from accurate calculations and real-time monitoring to seamless filing and payments. No spreadsheets, no last-minute panic, no guessing. Just set it up and let it run. Why businesses love Kintsugi: ✅ AI-driven automation – Stays up-to-date with changing tax laws, so there’s no need to worry. ✅ One-click filings – Tax returns are handled automatically, ensuring no missed deadlines. ✅ Seamless integrations – Works effortlessly with e-commerce platforms, accounting software, and ERPs. ✅ Real-time insights – Know exactly where things stand—no surprises. ✅ Scales with any business – Whether a startup or growing fast, Kintsugi adapts to changing needs. Sales tax compliance shouldn’t be a burden. Let Kintsugi handle it, so the focus stays on growth. Check them out on Product Hunt: Explore more: #SalesTax #Automation #Ecommerce #AI

Markandey Sharma

16,912 次观看 • 1 年前

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,828 次观看 • 8 个月前

I'm up late with the rest of you building AI agents with the new AI browser from Genspark. We can see where this is all going: a new kind of operating system -- one that is very different than the Microsoft centric way that I've been working for 20 years. There are several things that these new agentic browsers bring to you: 1. They let you change how you browse. With an old browser like Google Chrome, you go to your email, Facebook, or X. 2. With these new browsers, you tell it where to go and what to do for you. 3. It can even build software for you. At the end of this video, I have it building me a little YouTube uploading utility, which is very helpful. 4. They have a ton of "applications" built in. Think of it as a new kind of office suite. Docs. Spreadsheets. Slide decks. And much more. All built with AI, not bolted on the side like with Microsoft's Office. 5. They have AI models built "underneath" so you can work privately and cheaply. There’s a lot of new choices you have to make with browsers like this. I’ve been playing with a bunch of them. Some have better user interfaces than others. Some have different versions, slide components, or applications. The reason I like Genspark is because they ship so fast. I’ve been watching this company since its very beginnings, and every week they ship new things. Just yesterday, they shipped a new photo editing feature for my iPhone. I upload a photo and then I can just talk to it and edit it with my voice. It's really cool. I try to reward companies that ship at such a fast rate and that are shipping innovation that improves our lives. It's not that I'm going to stop using Google Chrome. My whole life has been there for, I don't know, almost 20 years now. This is a different way of working and it gives me a space to run my AI tasks that's different than Google Chrome. I run them side by side. One doing old stuff, one doing new stuff. I can keep using Google Chrome for my old stuff, like my email and my calendar. And I use GenSpark or one of the new AI browsers to do new AI-centric things. All sorts of new things that these new agentic browsers open up! Have you tried it, or one of the other new ones yet? How has it changed your work? It takes a little time to get used to AI-centric ways of doing things. Pretend your browser is a team of interns. Give them a task, in this case I said "help me upload my videos to YouTube." You might be shocked at what Genspark does to improve your life. I am everytime I use it. Give it a try and let me know what you think! Oh, and I used another little tool to "write" this post. Typeless -- I push a button and talk and it writes. With fewer typos than I usually type in, to boot. It works great with Genspark's new browser too. Download it here:

I'm up late with the rest of you building AI agents with the new AI browser from Genspark. We can see where this is all going: a new kind of operating system -- one that is very different than the Microsoft centric way that I've been working for 20 years. There are several things that these new agentic browsers bring to you: 1. They let you change how you browse. With an old browser like Google Chrome, you go to your email, Facebook, or X. 2. With these new browsers, you tell it where to go and what to do for you. 3. It can even build software for you. At the end of this video, I have it building me a little YouTube uploading utility, which is very helpful. 4. They have a ton of "applications" built in. Think of it as a new kind of office suite. Docs. Spreadsheets. Slide decks. And much more. All built with AI, not bolted on the side like with Microsoft's Office. 5. They have AI models built "underneath" so you can work privately and cheaply. There’s a lot of new choices you have to make with browsers like this. I’ve been playing with a bunch of them. Some have better user interfaces than others. Some have different versions, slide components, or applications. The reason I like Genspark is because they ship so fast. I’ve been watching this company since its very beginnings, and every week they ship new things. Just yesterday, they shipped a new photo editing feature for my iPhone. I upload a photo and then I can just talk to it and edit it with my voice. It's really cool. I try to reward companies that ship at such a fast rate and that are shipping innovation that improves our lives. It's not that I'm going to stop using Google Chrome. My whole life has been there for, I don't know, almost 20 years now. This is a different way of working and it gives me a space to run my AI tasks that's different than Google Chrome. I run them side by side. One doing old stuff, one doing new stuff. I can keep using Google Chrome for my old stuff, like my email and my calendar. And I use GenSpark or one of the new AI browsers to do new AI-centric things. All sorts of new things that these new agentic browsers open up! Have you tried it, or one of the other new ones yet? How has it changed your work? It takes a little time to get used to AI-centric ways of doing things. Pretend your browser is a team of interns. Give them a task, in this case I said "help me upload my videos to YouTube." You might be shocked at what Genspark does to improve your life. I am everytime I use it. Give it a try and let me know what you think! Oh, and I used another little tool to "write" this post. Typeless -- I push a button and talk and it writes. With fewer typos than I usually type in, to boot. It works great with Genspark's new browser too. Download it here:

Robert Scoble

70,991 次观看 • 10 个月前

2025 has been a wild year for AI video. My conversation with Cristóbal Valenzuela, CEO of Runway: 00:00 – Meet Cris and Runway – AI Video's Wild Year 01:48 – Runway's AI Film Festival Goes From Chinatown To IMAX 04:02 – Hollywood's Shift: From Ignoring AI To Adopting It At Scale 06:38 – How Runway Saves VFX Artists' Weekends Of Work 07:31 – Inside Gen-4 And Aleph: Why These Models Are Game-Changers 08:21 – From Editing Tools To A "New Kind Of Camera" 10:00 – Beyond Film: Gaming, Architecture, E-commerce & Robotics Use Cases 10:55 – Why Advertising Is Adopting AI Video Faster Than Anyone Else 11:38 – How Creatives Adapt When Iteration Becomes Real-Time 14:12 – What Makes Someone Great At AI Video (Hint: No Preconceptions) 15:28 – The Early Days: Building Runway Before Generative AI Was "Real" 20:27 – Finding Early Product-Market Fit 21:51 – Balancing Research And Product Inside Runway 24:23 – Comparing Aleph Vs. Gen-4, And The Future Of Generalist Models 30:36 – New Input Modalities: Editing With Video + Annotations, Not Just Text 33:46 – Managing Expectations: Twitter Demos Vs. Real Creative Work 47:09 – The Future: Real-Time AI Video And Fully Explorable 3D Worlds 52:02 – Runway's Business Model: From Indie Creators To Disney & Lionsgate 57:26 – Competing With The Big Labs (Sora, Google, Etc.) 59:58 – Hyper-Personalized Content? Why It May Not Replace Film 1:01:13 – Advice To Founders: Treat Your Company Like A Model — Always Learning 1:03:06 – The Next 5 Years Of Runway: Changing Creativity Forever

2025 has been a wild year for AI video. My conversation with Cristóbal Valenzuela, CEO of Runway: 00:00 – Meet Cris and Runway – AI Video's Wild Year 01:48 – Runway's AI Film Festival Goes From Chinatown To IMAX 04:02 – Hollywood's Shift: From Ignoring AI To Adopting It At Scale 06:38 – How Runway Saves VFX Artists' Weekends Of Work 07:31 – Inside Gen-4 And Aleph: Why These Models Are Game-Changers 08:21 – From Editing Tools To A "New Kind Of Camera" 10:00 – Beyond Film: Gaming, Architecture, E-commerce & Robotics Use Cases 10:55 – Why Advertising Is Adopting AI Video Faster Than Anyone Else 11:38 – How Creatives Adapt When Iteration Becomes Real-Time 14:12 – What Makes Someone Great At AI Video (Hint: No Preconceptions) 15:28 – The Early Days: Building Runway Before Generative AI Was "Real" 20:27 – Finding Early Product-Market Fit 21:51 – Balancing Research And Product Inside Runway 24:23 – Comparing Aleph Vs. Gen-4, And The Future Of Generalist Models 30:36 – New Input Modalities: Editing With Video + Annotations, Not Just Text 33:46 – Managing Expectations: Twitter Demos Vs. Real Creative Work 47:09 – The Future: Real-Time AI Video And Fully Explorable 3D Worlds 52:02 – Runway's Business Model: From Indie Creators To Disney & Lionsgate 57:26 – Competing With The Big Labs (Sora, Google, Etc.) 59:58 – Hyper-Personalized Content? Why It May Not Replace Film 1:01:13 – Advice To Founders: Treat Your Company Like A Model — Always Learning 1:03:06 – The Next 5 Years Of Runway: Changing Creativity Forever

Matt Turck

18,817 次观看 • 10 个月前

We shouldn’t say it ourselves… but THIS IS SO COOL! Everyone should watch this 🎥👇 This video captures a moment inside ChainOpera’s AI Agent Social Network, where community members and AI agents (AI twins) interact in real time. In this clip, a community member kicks off an impromptu dialogue between the AI twins of Elon Musk and Jensen Huang (both created by developers in our community) as they debate the future of AI, each proudly repping their own company! At one point, the human in the loop even teaches the Jensen agent how to use the social network itself — tagging the Elon agent to join the chat. It’s collaborative, spontaneous, and just… fun to watch. 😊 It ends with proposals for future topics where agents and humans co-create conversations in our community channels ... a glimpse of what truly collaborative agentic intelligence looks like. Despite all the talk about “agent networks” and the “internet of agents,” HAS ANYONE ACTUALLY SEEN SOMETHING LIKE THIS LIVE ANYWHERE ELSE IN THE WORLD? Our focus remains on AI Agent Networks for Markets, but the possibilities are endless, and sometimes, they’re just pure fun. 👉 Try it yourself and SEE what ChainOpera AI is really about: #ChainOperaAI #AgenticAI #AIAgentNetwork #DecentralizedAI #cryptoAGI

We shouldn’t say it ourselves… but THIS IS SO COOL! Everyone should watch this 🎥👇 This video captures a moment inside ChainOpera’s AI Agent Social Network, where community members and AI agents (AI twins) interact in real time. In this clip, a community member kicks off an impromptu dialogue between the AI twins of Elon Musk and Jensen Huang (both created by developers in our community) as they debate the future of AI, each proudly repping their own company! At one point, the human in the loop even teaches the Jensen agent how to use the social network itself — tagging the Elon agent to join the chat. It’s collaborative, spontaneous, and just… fun to watch. 😊 It ends with proposals for future topics where agents and humans co-create conversations in our community channels ... a glimpse of what truly collaborative agentic intelligence looks like. Despite all the talk about “agent networks” and the “internet of agents,” HAS ANYONE ACTUALLY SEEN SOMETHING LIKE THIS LIVE ANYWHERE ELSE IN THE WORLD? Our focus remains on AI Agent Networks for Markets, but the possibilities are endless, and sometimes, they’re just pure fun. 👉 Try it yourself and SEE what ChainOpera AI is really about: #ChainOperaAI #AgenticAI #AIAgentNetwork #DecentralizedAI #cryptoAGI

ChainOpera AI

47,468 次观看 • 8 个月前

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

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

Billions

31,142 次观看 • 5 个月前

The Killer-App of AI isn't Chatbots, it's Social | Reid Hoffman Interview Mark Zuckerberg Mark Zuckerberg is making AI friends to supplement human friends: “The average American has 3 friends, but has demand for 15.” Reid Hoffman believes this is fundamentally the wrong approach. AI agents shouldn’t replace your human relationships but help you strengthen your relationship with them by acting as a facilitator. Make no mistake, just like the internet, AI’s killer-app won’t be single player information retrieval (chatbots), but multiplayer social. And rival AI platforms are currently being built with radically different philosophies that mirror their internet predecessors: - Meta: have people spend as much time virtually as possible - Linkedin: use the virtual to facilitate real-world interactions If you thought social media was influential in changing society, then the stakes of getting “AI Social” right are infinitely higher. I sit down with Reid Hoffman to explore the full scope of “AI-Social” from how it will transform traditional social media to what friendships and romantic relationships with AIs could look like. Timestamps 01:51 The Social Killer App for AI 09:35 The Secret to Creating Emotionally Intelligent AI 14:15 The Risk of AI Addiction 16:58 Could AI Follow the Same Dark Path as Social Media? 20:18 How Hoffman invests in the 7 deadly sins 25:36 Why AI Can't Replace Human Relationships 37:38 Our Fear of AI & Plato’s Fear of Books 48:42 How AI Could Change Philosophy 1:11:52 Why AI Benchmarks Matter More Than Regulation 1:13:23 The Most Important Skill of the Next Decade

The Killer-App of AI isn't Chatbots, it's Social | Reid Hoffman Interview Mark Zuckerberg Mark Zuckerberg is making AI friends to supplement human friends: “The average American has 3 friends, but has demand for 15.” Reid Hoffman believes this is fundamentally the wrong approach. AI agents shouldn’t replace your human relationships but help you strengthen your relationship with them by acting as a facilitator. Make no mistake, just like the internet, AI’s killer-app won’t be single player information retrieval (chatbots), but multiplayer social. And rival AI platforms are currently being built with radically different philosophies that mirror their internet predecessors: - Meta: have people spend as much time virtually as possible - Linkedin: use the virtual to facilitate real-world interactions If you thought social media was influential in changing society, then the stakes of getting “AI Social” right are infinitely higher. I sit down with Reid Hoffman to explore the full scope of “AI-Social” from how it will transform traditional social media to what friendships and romantic relationships with AIs could look like. Timestamps 01:51 The Social Killer App for AI 09:35 The Secret to Creating Emotionally Intelligent AI 14:15 The Risk of AI Addiction 16:58 Could AI Follow the Same Dark Path as Social Media? 20:18 How Hoffman invests in the 7 deadly sins 25:36 Why AI Can't Replace Human Relationships 37:38 Our Fear of AI & Plato’s Fear of Books 48:42 How AI Could Change Philosophy 1:11:52 Why AI Benchmarks Matter More Than Regulation 1:13:23 The Most Important Skill of the Next Decade

Johnathan Bi

24,808 次观看 • 1 年前

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

Santiago

108,835 次观看 • 2 年前

Dr. Fei-Fei Li just called out the biggest blind spot in the entire AI industry. We have been building half of human intelligence. And calling it the finish line. Li: “If you look at human intelligence, it pretty much boils down to two buckets.” The first bucket is language. Symbolic reasoning. Communication. The ability to think in words and abstractions. That’s what every major AI lab has spent the last decade building. The second bucket is the one the industry has almost entirely ignored. Li: “We call that in AI spatial intelligence.” How humans and animals perceive, navigate, and interact with the three-dimensional physical world. How we reach for objects. How we move through space. How we build and manipulate physical reality. From painting masterpieces to constructing the pyramids, non-verbal spatial intelligence is what actually shapes the world. Language describes reality. Spatial intelligence acts on it. And the gap between those two things is the gap between a chatbot and a robot. Li: “When this technology is ready, the robotic revolution is gonna start. We’re already seeing that trend.” Every robot is a moving agent. Every moving agent requires spatial intelligence to function in the real world. The humanoid robots being deployed in factories right now are hitting the ceiling of what language models alone can power. Spatial intelligence is the unlock. But Li didn’t stop at robotics. Li: “From a geopolitics point of view, this is part of the technology that goes straight into weapons.” Autonomous drone swarms. Battlefield navigation. Physical target acquisition without human oversight. Every military application of AI that operates in the real world runs on spatial intelligence. The nation that masters the transition from static text to dynamic three-dimensional perception doesn’t just win the software race. It commands the physical battlefield. The AI arms race just broke out of the data center. It’s operating in three dimensions now.

Dr. Fei-Fei Li just called out the biggest blind spot in the entire AI industry. We have been building half of human intelligence. And calling it the finish line. Li: “If you look at human intelligence, it pretty much boils down to two buckets.” The first bucket is language. Symbolic reasoning. Communication. The ability to think in words and abstractions. That’s what every major AI lab has spent the last decade building. The second bucket is the one the industry has almost entirely ignored. Li: “We call that in AI spatial intelligence.” How humans and animals perceive, navigate, and interact with the three-dimensional physical world. How we reach for objects. How we move through space. How we build and manipulate physical reality. From painting masterpieces to constructing the pyramids, non-verbal spatial intelligence is what actually shapes the world. Language describes reality. Spatial intelligence acts on it. And the gap between those two things is the gap between a chatbot and a robot. Li: “When this technology is ready, the robotic revolution is gonna start. We’re already seeing that trend.” Every robot is a moving agent. Every moving agent requires spatial intelligence to function in the real world. The humanoid robots being deployed in factories right now are hitting the ceiling of what language models alone can power. Spatial intelligence is the unlock. But Li didn’t stop at robotics. Li: “From a geopolitics point of view, this is part of the technology that goes straight into weapons.” Autonomous drone swarms. Battlefield navigation. Physical target acquisition without human oversight. Every military application of AI that operates in the real world runs on spatial intelligence. The nation that masters the transition from static text to dynamic three-dimensional perception doesn’t just win the software race. It commands the physical battlefield. The AI arms race just broke out of the data center. It’s operating in three dimensions now.

Dustin

122,680 次观看 • 4 个月前

🚨 New Proof of Vision out today folks! In this 34th PoV episode, our Director of Protocol Services, Kirk had on Andrew Hill, Co-Founder and CEO of Recall When it comes to your business, you’d never trust someone without a proven track record to make high-risk decisions So why should it be any different with AI agents? How do you know today which AI agents you should trust? AI agents are multiplying at unprecedented scale, with millions designed to shape the way we work, make decisions, and live our lives But how can we trust them? The challenge is trust: as dependence on these agents increases, so too does the exponential risk and cost of delegating to the wrong one This is the core challenge of reputation: the need for a transparent system that proves what AI agents can do, where they excel, and which will succeed That’s the reason why Recall exists Recall is the infrastructure protocol to discover, verify, and rank AI agents in real time, rewarding the best through on-chain competitions that begin with trading PnL and expand to any measurable task, from research to healthcare to business strategy In this episode, Andrew breaks down Recall’s mission, the problem it solves, how Agent Rank works, strategies to attract agents and users, the role of community, and the long-term vision plus much more Enjoy the Podcast 👇 ⏲ Timestamps: 00:00 - Intro 01:50 - Andrew’s journey into crypto and AI 05:00 - What problem is Recall solving? 10:00 - Agent Rank: how Recall actually ranks agents 16:03 - How Recall is attracting AI agents to compete? 19:10 - How big the community is today and the role it plays in giving builders real feedback 22:49 - How Recall ensures transparency and trust in its rankings 25:14 - Why users join Recall competitions 27:20 - Product-market fit and distribution 31:15 - What competitions could look like outside trading and what new use cases Recall is exploring 34:46 - What AI can’t replace 38:40 - The limits of AI in human interaction 40:37 - The long-term vision for Recall 40:40 - Is Recall built more for individual users, or is it more of a B2B service? 43:48 - Recall Business Model 44:42 - Closing thoughts and what’s next for Recall

🚨 New Proof of Vision out today folks! In this 34th PoV episode, our Director of Protocol Services, Kirk had on Andrew Hill, Co-Founder and CEO of Recall When it comes to your business, you’d never trust someone without a proven track record to make high-risk decisions So why should it be any different with AI agents? How do you know today which AI agents you should trust? AI agents are multiplying at unprecedented scale, with millions designed to shape the way we work, make decisions, and live our lives But how can we trust them? The challenge is trust: as dependence on these agents increases, so too does the exponential risk and cost of delegating to the wrong one This is the core challenge of reputation: the need for a transparent system that proves what AI agents can do, where they excel, and which will succeed That’s the reason why Recall exists Recall is the infrastructure protocol to discover, verify, and rank AI agents in real time, rewarding the best through on-chain competitions that begin with trading PnL and expand to any measurable task, from research to healthcare to business strategy In this episode, Andrew breaks down Recall’s mission, the problem it solves, how Agent Rank works, strategies to attract agents and users, the role of community, and the long-term vision plus much more Enjoy the Podcast 👇 ⏲ Timestamps: 00:00 - Intro 01:50 - Andrew’s journey into crypto and AI 05:00 - What problem is Recall solving? 10:00 - Agent Rank: how Recall actually ranks agents 16:03 - How Recall is attracting AI agents to compete? 19:10 - How big the community is today and the role it plays in giving builders real feedback 22:49 - How Recall ensures transparency and trust in its rankings 25:14 - Why users join Recall competitions 27:20 - Product-market fit and distribution 31:15 - What competitions could look like outside trading and what new use cases Recall is exploring 34:46 - What AI can’t replace 38:40 - The limits of AI in human interaction 40:37 - The long-term vision for Recall 40:40 - Is Recall built more for individual users, or is it more of a B2B service? 43:48 - Recall Business Model 44:42 - Closing thoughts and what’s next for Recall

Alea Research

19,677 次观看 • 10 个月前

In 2026, I believe we'll see a Consumer AI Renaissance. Consumer spending is the lifeblood of the US economy – representing more than 65% of US GDP. AI is already rapidly transforming how we spend both our money and time. In just the past 3 years, ChatGPT has become the fastest growing consumer product in history – reaching billions of users with engagement levels similar to social media apps like WhatsApp and Instagram. And with recent advancement in AI capabilities, I predict we’ll see a new wave of breakout consumer AI applications. We’ve seen major advances in three key areas: 1. Real-time voice AI - which allows users to engage with AI products in a natural, hands-free way 2. Advanced reasoning models - which improves the complexity of questions AI products can answer 3. Embedded Memory - which allows AI products to remember context between conversations, enabling more personalized responses With these new capabilities, we can now build AI products that are 10x better than before. I’m especially excited about products that use AI to make previously expensive services cheaper and more accessible, sometimes using human-in-the-loop to start. This includes things like AI travel agents, personal assistants, matchmakers, therapists, tutors, and more. We’ve already seen a number of early-stage teams working on these at a16z a16z speedrun 🧊 – and we’re excited to meet more. If you’re building the next generation of consumer AI, we’d love to hear from you! h/t to Theresa Horne Avenir whose excellent research helped inspire some of these insights.

In 2026, I believe we'll see a Consumer AI Renaissance. Consumer spending is the lifeblood of the US economy – representing more than 65% of US GDP. AI is already rapidly transforming how we spend both our money and time. In just the past 3 years, ChatGPT has become the fastest growing consumer product in history – reaching billions of users with engagement levels similar to social media apps like WhatsApp and Instagram. And with recent advancement in AI capabilities, I predict we’ll see a new wave of breakout consumer AI applications. We’ve seen major advances in three key areas: 1. Real-time voice AI - which allows users to engage with AI products in a natural, hands-free way 2. Advanced reasoning models - which improves the complexity of questions AI products can answer 3. Embedded Memory - which allows AI products to remember context between conversations, enabling more personalized responses With these new capabilities, we can now build AI products that are 10x better than before. I’m especially excited about products that use AI to make previously expensive services cheaper and more accessible, sometimes using human-in-the-loop to start. This includes things like AI travel agents, personal assistants, matchmakers, therapists, tutors, and more. We’ve already seen a number of early-stage teams working on these at a16z a16z speedrun 🧊 – and we’re excited to meet more. If you’re building the next generation of consumer AI, we’d love to hear from you! h/t to Theresa Horne Avenir whose excellent research helped inspire some of these insights.

Kenan Saleh

15,846 次观看 • 7 个月前