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stumbled onto something genuinely impressive today - real-time interactive AI avatars with 180ms latency let me break down why I think this is one of the more underrated AI products right now 👇 most AI agents are either a chat box or a robotic voice. anam gives them a...

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264,899 views • 1 month ago •via X (Twitter)

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Voice agents are awkward, and everyone notices: You ask a question. The agent thinks. You wait. And wait... Nobody wants this. I'd rather talk to a person. If your model's response time is over 300ms, you won't make it. Unfortunately, most text-to-speech models can't get anywhere close to that. I want you to take a look at the latest model released by Inworld AI: TTS-1.5. I built a simple voice agent using the model so you can see it in action and test it on your computer. You'll find the repository link below. The latency numbers of this model are wild: • Max model → under 250ms • Mini model → under 130ms That's 4x faster than prior generations and faster than human response times!
5:09

Voice agents are awkward, and everyone notices: You ask a question. The agent thinks. You wait. And wait... Nobody wants this. I'd rather talk to a person. If your model's response time is over 300ms, you won't make it. Unfortunately, most text-to-speech models can't get anywhere close to that. I want you to take a look at the latest model released by Inworld AI: TTS-1.5. I built a simple voice agent using the model so you can see it in action and test it on your computer. You'll find the repository link below. The latency numbers of this model are wild: • Max model → under 250ms • Mini model → under 130ms That's 4x faster than prior generations and faster than human response times!

Santiago

69,430 views • 5 months ago

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

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

GREG ISENBERG

83,806 views • 1 month ago

🚀 Exciting Launch on Product Hunt: Chat Thing! 🚀 Imagine creating a fully customized AI chatbot in minutes no coding required. That’s exactly what Chat Thing makes possible! Whether you want to train a bot on your own data or integrate with powerful AI models, this tool is designed to give you complete control over your chatbot experience. Why check it out? ✅ No-code setup – Build and deploy in minutes ✅ Custom AI training – Use your own data for personalized responses ✅ Seamless integrations – Connect with APIs, databases & more ✅ Versatile use cases – Customer support, personal assistants, and beyond If you've ever wanted to build your own AI assistant, now's the time. Check out Chat Thing on Product Hunt and let us know what you think! 🔗 Support Now: #AI #NoCode #Chatbots #ProductHunt #ArtificialIntelligence
2:03

🚀 Exciting Launch on Product Hunt: Chat Thing! 🚀 Imagine creating a fully customized AI chatbot in minutes no coding required. That’s exactly what Chat Thing makes possible! Whether you want to train a bot on your own data or integrate with powerful AI models, this tool is designed to give you complete control over your chatbot experience. Why check it out? ✅ No-code setup – Build and deploy in minutes ✅ Custom AI training – Use your own data for personalized responses ✅ Seamless integrations – Connect with APIs, databases & more ✅ Versatile use cases – Customer support, personal assistants, and beyond If you've ever wanted to build your own AI assistant, now's the time. Check out Chat Thing on Product Hunt and let us know what you think! 🔗 Support Now: #AI #NoCode #Chatbots #ProductHunt #ArtificialIntelligence

RAVI KUMAR SAHU

13,121 views • 1 year ago

Grok Voice Agent is absolutely insane Watch how it handles a dinner reservation flawlessly - felt exactly like talking to a real human host This is what AI-powered customer support looks like in 2026: → First response in under 1 second - 5× faster than rivals → 5 ultra-natural voices that talk, think, and act on your behalf → Full-duplex WebSocket for real-time, zero-lag conversations → Built-in live Web & 𝕏 search + MCP support → Auto-detects & switches between 20+ languages mid-conversation → 24/7 - never sleeps, never calls in sick And the base price is just $0.05/min For $3/hour, you get a 24/7 worker that never sleeps, never burns out, and treats every single customer with infinite patience Build voice agents for your business right now and replace your entire support queue Customer support is about to change forever xAI's voice agent is hands down the most impressive AI voice agent out there right now
1:29

Grok Voice Agent is absolutely insane Watch how it handles a dinner reservation flawlessly - felt exactly like talking to a real human host This is what AI-powered customer support looks like in 2026: → First response in under 1 second - 5× faster than rivals → 5 ultra-natural voices that talk, think, and act on your behalf → Full-duplex WebSocket for real-time, zero-lag conversations → Built-in live Web & 𝕏 search + MCP support → Auto-detects & switches between 20+ languages mid-conversation → 24/7 - never sleeps, never calls in sick And the base price is just $0.05/min For $3/hour, you get a 24/7 worker that never sleeps, never burns out, and treats every single customer with infinite patience Build voice agents for your business right now and replace your entire support queue Customer support is about to change forever xAI's voice agent is hands down the most impressive AI voice agent out there right now

X Freeze

591,040 views • 3 months ago

Give your voice agents a face. Introducing Lemon Slice-2 – the world's first interactive talking AI video model Think of it as a face layer for your voice agents, available today in production as an API or an embeddable widget. What makes Lemon Slice-2 great: → Easy: All you need is 1 photo → Expressive: hands and full body motion → Any character and style: if it has a face, Lemon Slice-2 can animate it Under the hood: we trained a custom, 20B-parameter video diffusion transformer, streaming at 20fps on a single GPU. Infinite-length video generation with no error accumulation. Talk to the demo avatars on our homepage. Or, add your own interactive avatar to your website. Companies and creators are already building video agents that are: → Customer support agents who screen-share and show you where to click → Lead qualification agents that replace forms with real conversations → AI personal shoppers who try on clothes and guide purchases People don't engage with chat bubbles. They engage with faces. And now you can have a 24/7 spokesperson that’s the face of your brand. We’ve partnered with , Daily, and Modal to make this happen. As part of this launch, we’re giving away a guide: “How to Add a High-Converting Video Agent to Your Website in under 10 Minutes” Retweet and comment "LEMON SLICE" below and I'll send it over 🍋
2:25

Give your voice agents a face. Introducing Lemon Slice-2 – the world's first interactive talking AI video model Think of it as a face layer for your voice agents, available today in production as an API or an embeddable widget. What makes Lemon Slice-2 great: → Easy: All you need is 1 photo → Expressive: hands and full body motion → Any character and style: if it has a face, Lemon Slice-2 can animate it Under the hood: we trained a custom, 20B-parameter video diffusion transformer, streaming at 20fps on a single GPU. Infinite-length video generation with no error accumulation. Talk to the demo avatars on our homepage. Or, add your own interactive avatar to your website. Companies and creators are already building video agents that are: → Customer support agents who screen-share and show you where to click → Lead qualification agents that replace forms with real conversations → AI personal shoppers who try on clothes and guide purchases People don't engage with chat bubbles. They engage with faces. And now you can have a 24/7 spokesperson that’s the face of your brand. We’ve partnered with , Daily, and Modal to make this happen. As part of this launch, we’re giving away a guide: “How to Add a High-Converting Video Agent to Your Website in under 10 Minutes” Retweet and comment "LEMON SLICE" below and I'll send it over 🍋

Lina Colucci

1,162,861 views • 7 months ago

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.
0:35

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 views • 7 months ago

Better/faster/cheaper voice AI turn detection with Gemini 2.0 The code that determines when the agent should respond to the user is some of the most important code in your voice AI agent. The technical terms for this job are "turn detection" or "phrase endpointing." If the voice AI responds before the user has finished their thought, the conversation is choppy and unproductive. If the AI waits too long, the conversation is slow and frustrating. There are a number of ways to approach this. You can: 1. Use a fast "voice activity detection" model to detect pauses in speech. Respond when the user pauses. 2. Use a specialized phrase endpointing model that operates on transcribed text, pattern-matching on text semantics. 3. Train a specialized phrase endpointing model that operates directly on audio. 4. Leverage the native audio capabilities of a SOTA LLM like Gemini 2.0. We've benchmarked all four of these, and Gemini 2.0 currently beats other approaches. Using Gemini is also cheaper than transcribing the audio separately using a transcription service or model. Here's a short video showing Gemini phrase endpointing in two scenarios. First, correctly handling pauses in natural conversation. Second, requesting a phone number (which is a common activity in a use case like customer support). You can see the Completeness check lines in the terminal output, printed each time Gemini processes a chunk of audio.
1:23

Better/faster/cheaper voice AI turn detection with Gemini 2.0 The code that determines when the agent should respond to the user is some of the most important code in your voice AI agent. The technical terms for this job are "turn detection" or "phrase endpointing." If the voice AI responds before the user has finished their thought, the conversation is choppy and unproductive. If the AI waits too long, the conversation is slow and frustrating. There are a number of ways to approach this. You can: 1. Use a fast "voice activity detection" model to detect pauses in speech. Respond when the user pauses. 2. Use a specialized phrase endpointing model that operates on transcribed text, pattern-matching on text semantics. 3. Train a specialized phrase endpointing model that operates directly on audio. 4. Leverage the native audio capabilities of a SOTA LLM like Gemini 2.0. We've benchmarked all four of these, and Gemini 2.0 currently beats other approaches. Using Gemini is also cheaper than transcribing the audio separately using a transcription service or model. Here's a short video showing Gemini phrase endpointing in two scenarios. First, correctly handling pauses in natural conversation. Second, requesting a phone number (which is a common activity in a use case like customer support). You can see the Completeness check lines in the terminal output, printed each time Gemini processes a chunk of audio.

kwindla

64,184 views • 1 year ago

CEO of Nvidia said something that stopped me cold: "You may or may not lose a job to an AI, but you will absolutely lose a job to someone who uses AI" this 41 minutes is the most important talk on AI you'll watch this year so the question is not whether AI is coming for your job it's whether you're the one using it or the one being replaced by someone who does Nvidia already has hundreds of thousands of agents running inside the company right now agents are not the future, they are how the best teams work today I wrote a step by step guide on how to build your first AI agent with Claude Code you can find it in the article below
41:34

CEO of Nvidia said something that stopped me cold: "You may or may not lose a job to an AI, but you will absolutely lose a job to someone who uses AI" this 41 minutes is the most important talk on AI you'll watch this year so the question is not whether AI is coming for your job it's whether you're the one using it or the one being replaced by someone who does Nvidia already has hundreds of thousands of agents running inside the company right now agents are not the future, they are how the best teams work today I wrote a step by step guide on how to build your first AI agent with Claude Code you can find it in the article below

Anatoli Kopadze

14,627 views • 1 month ago

Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:
2:41

Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:

Andrew Ng

87,484 views • 1 year ago

something I’ve wanted for a while: an AI that isn’t just a text box so I built it lets you create a 3D AI character on-chain that lives in your browser it can talk, remember you, show emotions, and use different skills. you can even mint it onchain, so it actually belongs to you it gets its own identity, history, and reputation that no one can take away most AI today can disappear if the app shuts down this one is permanent and yours the future is AI you can see, interact with, and actually own
1:23

something I’ve wanted for a while: an AI that isn’t just a text box so I built it lets you create a 3D AI character on-chain that lives in your browser it can talk, remember you, show emotions, and use different skills. you can even mint it onchain, so it actually belongs to you it gets its own identity, history, and reputation that no one can take away most AI today can disappear if the app shuts down this one is permanent and yours the future is AI you can see, interact with, and actually own

nich

256,465 views • 2 months ago

i found a way to make AI videos that don't sound like AI... example below.... sora 2, veo 3.1, kling 2.6 are decent but they all have that robotic AI accent that everyone can detect immediately and when people try replacing the voices with elevenlabs, it always sounds way too professional like it's recorded on a professional mic in a studio but if i'm making a UGC video of someone in their room, i don't want studio quality it should sound like it's actually in that room the workflow i use completely removes that fake AI voice sound why this matters: when your AI voices sound too polished or robotic, people notice. their guard goes up. they disengage. but when your voices sound like they're coming from a real person in a real room, that's when they work the best i created a guide breaking down exactly how: > to create voiceovers that sound completely real > to replace fake-sounding voices in AI videos (not elevenlabs) > to make voices sound like they're in the actual environment, not a studio RT + reply "VOICE" and i'll send you the FULL guide (must follow so i can DM)
0:27

i found a way to make AI videos that don't sound like AI... example below.... sora 2, veo 3.1, kling 2.6 are decent but they all have that robotic AI accent that everyone can detect immediately and when people try replacing the voices with elevenlabs, it always sounds way too professional like it's recorded on a professional mic in a studio but if i'm making a UGC video of someone in their room, i don't want studio quality it should sound like it's actually in that room the workflow i use completely removes that fake AI voice sound why this matters: when your AI voices sound too polished or robotic, people notice. their guard goes up. they disengage. but when your voices sound like they're coming from a real person in a real room, that's when they work the best i created a guide breaking down exactly how: > to create voiceovers that sound completely real > to replace fake-sounding voices in AI videos (not elevenlabs) > to make voices sound like they're in the actual environment, not a studio RT + reply "VOICE" and i'll send you the FULL guide (must follow so i can DM)

Miko

246,545 views • 6 months ago

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below
31:25

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Anatoli Kopadze

15,625 views • 1 month ago

🚨HOSTILE TAKEOVER ALERT 🚨 has acquired to build the most powerful AI meme cOnglOmeRaTe on the planet. Founder P.E. Cooper 🇺🇸 will be joining the memelord army. AI is a deadly weapon for memelords. Use AI badly, you shoot yourself (and your reputation) Use AI right, you make millions of people laugh and are a master of the internet. AI is just one weapon in a good memelord's arsenal. We aim to build the best keyboard gun in history. We live in the best time in history to be funny. Thanks to the internet, a funny person can make millions of people laugh with 1 meme or video. Never before was this possible. AI exponentially increases this. If you're a terminally online funny person, this is your time. You were made for this era. It's just the beginning of AI memes.
0:29

🚨HOSTILE TAKEOVER ALERT 🚨 has acquired to build the most powerful AI meme cOnglOmeRaTe on the planet. Founder P.E. Cooper 🇺🇸 will be joining the memelord army. AI is a deadly weapon for memelords. Use AI badly, you shoot yourself (and your reputation) Use AI right, you make millions of people laugh and are a master of the internet. AI is just one weapon in a good memelord's arsenal. We aim to build the best keyboard gun in history. We live in the best time in history to be funny. Thanks to the internet, a funny person can make millions of people laugh with 1 meme or video. Never before was this possible. AI exponentially increases this. If you're a terminally online funny person, this is your time. You were made for this era. It's just the beginning of AI memes.

Jason Levin is hiring you 🫵

23,868 views • 9 days ago

"If you're in tech, run in one of these directions." In this clip, Amjad Masad (CEO Replit ⠕) shares two paths to future-proof your career in the AI era: 1. Get as close to the metal as possible (e.g., NASA won't use GPT-Javascript to run rockets) OR 2. Become a generalist who can go from idea to end product with AI end to end. Amjad and I had a great chat covering: • Why now's the best time to learn to code • A live demo of building a nutrition tracker app • The rise of personal apps and the future of work Some quotes from Amjad: "The return on learning to code doubles every 6 months. AI automates many of the boring parts. What's left is you and your creativity — the most exciting part of coding." "The ultimate test for an AI coding agent is if you can make an app faster than you can Google for it. I think we've done it." "I’ll be honest with you. I think roadmaps are dead. Here's why..." 📌 Watch now:
1:20

"If you're in tech, run in one of these directions." In this clip, Amjad Masad (CEO Replit ⠕) shares two paths to future-proof your career in the AI era: 1. Get as close to the metal as possible (e.g., NASA won't use GPT-Javascript to run rockets) OR 2. Become a generalist who can go from idea to end product with AI end to end. Amjad and I had a great chat covering: • Why now's the best time to learn to code • A live demo of building a nutrition tracker app • The rise of personal apps and the future of work Some quotes from Amjad: "The return on learning to code doubles every 6 months. AI automates many of the boring parts. What's left is you and your creativity — the most exciting part of coding." "The ultimate test for an AI coding agent is if you can make an app faster than you can Google for it. I think we've done it." "I’ll be honest with you. I think roadmaps are dead. Here's why..." 📌 Watch now:

Peter Yang

740,630 views • 1 year ago

Today, we’re thrilled to announce the launch of Akool Live Camera — a breakthrough in real-time AI video generation and the newest innovation in our Akool Live Suite. This is more than a product launch — it's a new chapter in how we communicate, connect, and show up in the world. Akool Live Camera creates photorealistic, dynamic avatars that reflect your expressions, voice, gestures, and emotional tone — all in real time, in any language. Built for live interactions—not pre-recorded content—Akool Live Camera powers: 🌍 Live AI Video Translation – Speak in one language, appear fluent in another — lip-sync, voice, expressions & gestures included. 🎭 Live Face Swap – Keep your host’s identity consistent, even when they’re not live. 🧑‍💼 Real-Time AI Avatars – Branded, expressive avatars for privacy, support, and seamless comms. 💡 Real-Time Video Generation – Coming soon: speak your idea, and your video creates itself. In real time. This is the birth of a new category: Live AI Video Generation. This is live, unscripted, intelligent visual presence. 💡 Welcome to the future of video, where anyone, anywhere, can show up fully and authentically — in any language, at any time. 🔗 Get early access: 📣 Read the full announcement: #AkoolLiveCamera #AIvideo #LiveTranslation #AvatarTech #RealTimeVideo #RealTimeAI #GenerativeAI #SyntheticMedia #AIAvatars #LiveTranslation #FaceSwap #FutureOfVideo #AIInnovation #TechLaunch
4:49

Today, we’re thrilled to announce the launch of Akool Live Camera — a breakthrough in real-time AI video generation and the newest innovation in our Akool Live Suite. This is more than a product launch — it's a new chapter in how we communicate, connect, and show up in the world. Akool Live Camera creates photorealistic, dynamic avatars that reflect your expressions, voice, gestures, and emotional tone — all in real time, in any language. Built for live interactions—not pre-recorded content—Akool Live Camera powers: 🌍 Live AI Video Translation – Speak in one language, appear fluent in another — lip-sync, voice, expressions & gestures included. 🎭 Live Face Swap – Keep your host’s identity consistent, even when they’re not live. 🧑‍💼 Real-Time AI Avatars – Branded, expressive avatars for privacy, support, and seamless comms. 💡 Real-Time Video Generation – Coming soon: speak your idea, and your video creates itself. In real time. This is the birth of a new category: Live AI Video Generation. This is live, unscripted, intelligent visual presence. 💡 Welcome to the future of video, where anyone, anywhere, can show up fully and authentically — in any language, at any time. 🔗 Get early access: 📣 Read the full announcement: #AkoolLiveCamera #AIvideo #LiveTranslation #AvatarTech #RealTimeVideo #RealTimeAI #GenerativeAI #SyntheticMedia #AIAvatars #LiveTranslation #FaceSwap #FutureOfVideo #AIInnovation #TechLaunch

Akool Inc

6,175,751 views • 1 year ago

🚀 I wrote one line… and an entire AI team started running a business. No hiring. No setup. No waiting. This isn’t hype. This is what naïve actually does. Here’s how it works 👇 1️⃣ You describe your idea 2️⃣ AI instantly creates a team of agents 3️⃣ They start executing — right away Each agent operates like a real employee: → has its own email → manages tasks independently → coordinates with other agents → works in parallel So instead of doing everything yourself… Your AI team is: → booking calls → writing content → building products → handling support → managing operations You’re not prompting a tool anymore. You’re watching a system run your company. 📊 Early users are already seeing: +32% growth week-over-week +42% more tasks completed 💡 The shift is simple: From building a team → to deploying one with a prompt You don’t need a co-founder. You don’t need a full team. You just need one idea. Try it here → #NaiveAI #AI #Automation #Startups #FutureOfWork
0:57

🚀 I wrote one line… and an entire AI team started running a business. No hiring. No setup. No waiting. This isn’t hype. This is what naïve actually does. Here’s how it works 👇 1️⃣ You describe your idea 2️⃣ AI instantly creates a team of agents 3️⃣ They start executing — right away Each agent operates like a real employee: → has its own email → manages tasks independently → coordinates with other agents → works in parallel So instead of doing everything yourself… Your AI team is: → booking calls → writing content → building products → handling support → managing operations You’re not prompting a tool anymore. You’re watching a system run your company. 📊 Early users are already seeing: +32% growth week-over-week +42% more tasks completed 💡 The shift is simple: From building a team → to deploying one with a prompt You don’t need a co-founder. You don’t need a full team. You just need one idea. Try it here → #NaiveAI #AI #Automation #Startups #FutureOfWork

Haider Anis

213,477 views • 2 months ago

NVIDIA is creating two completely different futures In one they put AI infrastructure on your property In the other they put it on your own desk ///// OPTION 1 A box worth more than most houses gets installed outside You provide the location, power and connectivity In return, you get perks like cheaper electricity, backup power and upgraded internet while AI workloads run around the clock You're not buying the hardware You're hosting it ///// OPTION 2 You spend a few thousand dollars on a DGX Spark Small enough to sit beside your monitor Powerful enough to run serious AI models locally No cloud bill No rented GPUs No sending sensitive data somewhere else The interesting part isn't the hardware It's the shift that's happening For years, AI belonged to giant tech companies and massive data centers Now NVIDIA is pushing a world where regular people can either host the infrastructure or own a piece of it themselves
1:13

NVIDIA is creating two completely different futures In one they put AI infrastructure on your property In the other they put it on your own desk ///// OPTION 1 A box worth more than most houses gets installed outside You provide the location, power and connectivity In return, you get perks like cheaper electricity, backup power and upgraded internet while AI workloads run around the clock You're not buying the hardware You're hosting it ///// OPTION 2 You spend a few thousand dollars on a DGX Spark Small enough to sit beside your monitor Powerful enough to run serious AI models locally No cloud bill No rented GPUs No sending sensitive data somewhere else The interesting part isn't the hardware It's the shift that's happening For years, AI belonged to giant tech companies and massive data centers Now NVIDIA is pushing a world where regular people can either host the infrastructure or own a piece of it themselves

Lummox

10,019 views • 1 month ago

Everyone says “learn AI.” No one shows you how to use it for your job, skill level, or daily workflow. So we're launching the world’s first personalized AI education platform: Tailored training, use cases, and live workshops for your career. Here’s what's inside: 1. Industry-specific AI certificate courses across 16 tech verticals 2. 300+ real-world AI use cases filtered by what's relevant to you 3. Live, expert-led workshops with our in-house AI research team + AI tool partners 4. A personalized community and network of AI-minded professionals in your industry 5. $1,000+ in exclusive discounts on top AI tools We've all heard “use AI or be replaced.” But beyond ChatGPT prompts and expensive AI consultants, there’s no real roadmap. So we built one -- by crowdsourcing the best workflows across the 1M+ AI early adopters in our community and turning them into personalized playbooks. That means whether you're in marketing, dev, ops, or any of the 16 industries we cover, you’ll only see what’s actually working in your field. No more noise. We'll show you the vetted AI tools and workflows actually being used in the real world by the early adopters in your industry. We believe the future of work belongs to those who combine AI with domain expertise. And now, there’s no excuse not to start. The first 14 days are 100% free, enough to earn your first certificate 👇
1:40

Everyone says “learn AI.” No one shows you how to use it for your job, skill level, or daily workflow. So we're launching the world’s first personalized AI education platform: Tailored training, use cases, and live workshops for your career. Here’s what's inside: 1. Industry-specific AI certificate courses across 16 tech verticals 2. 300+ real-world AI use cases filtered by what's relevant to you 3. Live, expert-led workshops with our in-house AI research team + AI tool partners 4. A personalized community and network of AI-minded professionals in your industry 5. $1,000+ in exclusive discounts on top AI tools We've all heard “use AI or be replaced.” But beyond ChatGPT prompts and expensive AI consultants, there’s no real roadmap. So we built one -- by crowdsourcing the best workflows across the 1M+ AI early adopters in our community and turning them into personalized playbooks. That means whether you're in marketing, dev, ops, or any of the 16 industries we cover, you’ll only see what’s actually working in your field. No more noise. We'll show you the vetted AI tools and workflows actually being used in the real world by the early adopters in your industry. We believe the future of work belongs to those who combine AI with domain expertise. And now, there’s no excuse not to start. The first 14 days are 100% free, enough to earn your first certificate 👇

Rowan Cheung

288,533 views • 1 year ago

Many “AI helpers” feel like early-stage demos. Then I tested Sintra AI—and it’s the first one that genuinely delivered value for me. Instead of spending hours on complex automations, I turned my knowledge and creator workflow into an AI helper in minutes. Simple build. No coding. No technical setup. Just plug in your expertise. I built one focused on: • AI creator growth • viral content strategy • campaign ideas • outreach + positioning And honestly… It feels like a mini version of me working around the clock. The best part? This is now accessible far beyond developers. Creators. Consultants. Educators. Founders. Anyone with valuable knowledge can package it into an AI helper people can interact with anytime. That’s the shift many people are overlooking. AI won’t only streamline tasks. It will scale expertise. And Sintra makes onboarding refreshingly simple compared to most tools I’ve tried. It feels less like “another chatbot.” More like building a digital extension of your brain. If you’ve been thinking about creating your own AI helper, this is one of the easiest places to start right now. Discount increased to 85% off — use code: BUILD85 Try my helper / Build your own on Sintra:
2:22

Many “AI helpers” feel like early-stage demos. Then I tested Sintra AI—and it’s the first one that genuinely delivered value for me. Instead of spending hours on complex automations, I turned my knowledge and creator workflow into an AI helper in minutes. Simple build. No coding. No technical setup. Just plug in your expertise. I built one focused on: • AI creator growth • viral content strategy • campaign ideas • outreach + positioning And honestly… It feels like a mini version of me working around the clock. The best part? This is now accessible far beyond developers. Creators. Consultants. Educators. Founders. Anyone with valuable knowledge can package it into an AI helper people can interact with anytime. That’s the shift many people are overlooking. AI won’t only streamline tasks. It will scale expertise. And Sintra makes onboarding refreshingly simple compared to most tools I’ve tried. It feels less like “another chatbot.” More like building a digital extension of your brain. If you’ve been thinking about creating your own AI helper, this is one of the easiest places to start right now. Discount increased to 85% off — use code: BUILD85 Try my helper / Build your own on Sintra:

ZAYVEN KNOX

20,752 views • 1 month ago

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...
2:12

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

kwindla

42,219 views • 1 year ago