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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 Aufrufe • vor 1 Monat •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!
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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!

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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
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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)

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15,625 Aufrufe • vor 1 Monat

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Peter Yang

740,630 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

🚀 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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 1 Monat

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 👇
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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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Monat

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 ...
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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 Aufrufe • vor 1 Jahr