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Why does a realistic voice matter? 🤔🤔 The same robot that feels creepy can transform into a trusted companion just by having a human-like voice. Think about the movie, Her. 🔥VoxCPM is a new paradigm: continuous, context-aware, and incredibly lifelike. ✅ Small size: 0.5B only ✅ Zero-Shot Voice Cloning... show more

OpenBMB

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126,770 views • 11 months ago •via X (Twitter)

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This is the most realistic voice cloning I’ve ever heard. It captures voice, emotion, speaking style, and even your rhythm. Powered by EVI 3, Hume’s next-gen speech-to-speech model that: ➔ Streams your speech → replies in real-time ➔ Understands tone and context ➔ Adapts emotion on cue (“whisper fearfully,” “sound excited”) Try it now: 🔗 (live demo, no prompt edits) 🔗 (customize voices, integrate with LLMs) You can even integrate it with top AI models like Groq, Anthropic, and DeepSeek 👇 Talk to the voice I cloned here:

This is the most realistic voice cloning I’ve ever heard. It captures voice, emotion, speaking style, and even your rhythm. Powered by EVI 3, Hume’s next-gen speech-to-speech model that: ➔ Streams your speech → replies in real-time ➔ Understands tone and context ➔ Adapts emotion on cue (“whisper fearfully,” “sound excited”) Try it now: 🔗 (live demo, no prompt edits) 🔗 (customize voices, integrate with LLMs) You can even integrate it with top AI models like Groq, Anthropic, and DeepSeek 👇 Talk to the voice I cloned here:

Ali Sufian

15,063 views • 1 year ago

I've just tested the EVI 3 speech-to-speech model by Hume Hume AI, and this is the most realistic voice cloning I’ve heard. It doesn’t just clone the sound of your voice — it captures your tone, your speech patterns, your personality. Feels like your voice is thinking in real time. What’s wild is: — It’s not text-to-speech. It’s speech-to-speech. — You speak → it clones your voice + vibe — And it’s compatible with LLMs like Groq, Anthropic, Deepseek - Try talking to a voice clone: - Want more control? Customize it here: This changes how we’ll interact with AI voices. No more robotic replies — these sound human.

I've just tested the EVI 3 speech-to-speech model by Hume Hume AI, and this is the most realistic voice cloning I’ve heard. It doesn’t just clone the sound of your voice — it captures your tone, your speech patterns, your personality. Feels like your voice is thinking in real time. What’s wild is: — It’s not text-to-speech. It’s speech-to-speech. — You speak → it clones your voice + vibe — And it’s compatible with LLMs like Groq, Anthropic, Deepseek - Try talking to a voice clone: - Want more control? Customize it here: This changes how we’ll interact with AI voices. No more robotic replies — these sound human.

Aaliya

28,046 views • 1 year ago

🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has consistently pushed quality and usability forward. Now, VoxCPM 2 takes it further: 🔹30+ languages — truly global, truly local. 🔹Infinite voice design — type it, hear it, control it. From a whisper to a booming cinematic voice. 🔹Studio-grade audio — 48kHz ultra-high fidelity with emotional depth 🔹Diffusion-Autoregressive cloning — preserves more acoustic and emotional detail than token-based models like Qwen3-TTS 💡 Big shoutout to Grok — used your multi-image video magic for our launch demo. It’s scarily good at keeping visuals consistent across shots. Elon Elon Musk, this one’s for you. 😉 Check the demo & start cloning your dream voice: 🌐 Hugging Face Space: 🤗 Hugging Face Model: 🤖 ModelScope Model: 💻 GitHub： #TTS #AI #VoiceCloning #GrokImagine #ElonMusk #OpenBMB #VoxCPM

🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has consistently pushed quality and usability forward. Now, VoxCPM 2 takes it further: 🔹30+ languages — truly global, truly local. 🔹Infinite voice design — type it, hear it, control it. From a whisper to a booming cinematic voice. 🔹Studio-grade audio — 48kHz ultra-high fidelity with emotional depth 🔹Diffusion-Autoregressive cloning — preserves more acoustic and emotional detail than token-based models like Qwen3-TTS 💡 Big shoutout to Grok — used your multi-image video magic for our launch demo. It’s scarily good at keeping visuals consistent across shots. Elon Elon Musk, this one’s for you. 😉 Check the demo & start cloning your dream voice: 🌐 Hugging Face Space: 🤗 Hugging Face Model: 🤖 ModelScope Model: 💻 GitHub： #TTS #AI #VoiceCloning #GrokImagine #ElonMusk #OpenBMB #VoxCPM

OpenBMB

560,058 views • 4 months ago

The Geely Galaxy M9 just stole the show at #CES2026. 🚘⚡️ Powered by StepFun ’s end-to-end audio LLM, this cockpit doesn't just "hear" you—it understands you. ✅ Emotional IQ: Picked up on my voice stress and adjusted its tone. ✅ Context Aware: It whispers when you do and plans trips like a pro. ✅ Seamless: Zero wake-words, zero lag. If you think western car AI is advanced, you haven't seen this. The future of the "Third Living Space" is officially here. 🦾

The Geely Galaxy M9 just stole the show at #CES2026. 🚘⚡️ Powered by StepFun ’s end-to-end audio LLM, this cockpit doesn't just "hear" you—it understands you. ✅ Emotional IQ: Picked up on my voice stress and adjusted its tone. ✅ Context Aware: It whispers when you do and plans trips like a pro. ✅ Seamless: Zero wake-words, zero lag. If you think western car AI is advanced, you haven't seen this. The future of the "Third Living Space" is officially here. 🦾

Atul Kumar

68,215 views • 7 months ago

🤔The world’s best small models? We immediately compared Mistral-3-8B with our previous-gen model, MiniCPM-4.1 (Both in thinking) 😂The findings are compelling: ✅MiniCPM is still ～2x faster, maintaining a massive speed lead ✅It remains a full generation ahead in capabilities (excluding math/code) For developers prioritizing efficiency and speed, MiniCPM is undeniably the world's best small model.

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OpenBMB

260,271 views • 8 months ago

This is wild 🔥 HeyGen ’s new Avatar IV takes just 1 photo + your script… and turns it into a lifelike video avatar that actually speaks like you Here’s the game-changer: it syncs perfectly to your voice, with hyper-realistic mouth movements. step by step guide 👇🏻

Amira Zairi

35,864 views • 1 year ago

ElevenLabs just lost the crown - to open source. Chatterbox by Resemble AI (I remember writing about this team back in 2022 as a pioneer of AI audio) just released as an open-source alternative for audio generation and voice cloning. - Zero-shot voice cloning from just 5 seconds of audio - Unique emotion intensity control—from subtle to dramatically expressive - Real-time voice synthesis faster than real-time inference - Built-in watermarking for secure, trusted audio - Consistently preferred over ElevenLabs in blind evaluations Fully open-source. No hidden restrictions. This is the way. Check out the demo:

ElevenLabs just lost the crown - to open source. Chatterbox by Resemble AI (I remember writing about this team back in 2022 as a pioneer of AI audio) just released as an open-source alternative for audio generation and voice cloning. - Zero-shot voice cloning from just 5 seconds of audio - Unique emotion intensity control—from subtle to dramatically expressive - Real-time voice synthesis faster than real-time inference - Built-in watermarking for secure, trusted audio - Consistently preferred over ElevenLabs in blind evaluations Fully open-source. No hidden restrictions. This is the way. Check out the demo:

AI Breakfast

454,451 views • 1 year ago

Seeing the ultra-realistic humanoid robot Moya casually walking into a human home， it still feels like a scene from a sci-fi movie… At 1.65m and 30kg, with 40 facial muscle units, a full tendon-cable drive system, over 100 degrees of freedom, warm silicone skin (32–36°C), full-body tactile sensing, voice interaction, and that DroidSoul engine giving it emotional perception like an amygdala--it’s designed as a true companion for home, elderly Care, office, or hotel… What does it really mean when humanoid robots start feeling this… human?

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CyberRobo

27,671 views • 2 months ago

💥 Introducing MiniCPM-o 2.6: An 8B size, GPT-4o level Omni Model runs on device ✨ Highlights: ~Match GPT-4o-202405 in vision, audio and multimodal live streaming ~End-to-end real-time bilingual audio conversation ~Voice cloning & emotion control ~Advanced OCR & video understanding ~Offline iPad-compatible multimodal live streaming 🔗 Try it out: GitHub: HF: Demo:

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OpenBMB

97,770 views • 1 year ago

Taking talking shop to a whole new level. We just shipped Glean’s real-time voice capability, powered by OpenAI’s newest speech model GPT-Realtime-2. Grounded in the context across your org, it feels like a real AI coworker and can keep up with how work gets finished. In internal evals, GPT-Realtime-2 delivered a 42.9% relative increase in helpfulness over its previous version. Give it a try. It speaks for itself. OpenAIDevs

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Glean

16,588 views • 3 months ago

What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER

What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER

Ilir Aliu - eu/acc

10,509 views • 1 year ago

The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏

The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏

Ilir Aliu

46,285 views • 1 year ago

I took one voice recording… and used it across completely different responses. Same voice. Same tone. This was one of them: “I saw this come through and didn’t want it sitting idle. Everything’s already been taken care of, so you’re clear to move forward from here. You’ll notice it sounds the same as before that’s intentional, just keeping things consistent while I’m not around. If you need anything else, just drop it in and it’ll be handled the same way. I’ll be back later to follow up properly, but for now, you’re all set.” What stood out wasn’t just that it worked it was how consistent it felt. It didn’t sound like separate generations. It sounded like the same person, just responding in different situations. The tone held. The pacing stayed natural. Nothing felt stitched together. This is voice cloning with Lightning V3.1 by smallest.ai. You’re not recreating voice each time, you’re carrying it across, no matter the context. If you’re building anything where voice needs to stay consistent, this makes a big difference. Try it here:

I took one voice recording… and used it across completely different responses. Same voice. Same tone. This was one of them: “I saw this come through and didn’t want it sitting idle. Everything’s already been taken care of, so you’re clear to move forward from here. You’ll notice it sounds the same as before that’s intentional, just keeping things consistent while I’m not around. If you need anything else, just drop it in and it’ll be handled the same way. I’ll be back later to follow up properly, but for now, you’re all set.” What stood out wasn’t just that it worked it was how consistent it felt. It didn’t sound like separate generations. It sounded like the same person, just responding in different situations. The tone held. The pacing stayed natural. Nothing felt stitched together. This is voice cloning with Lightning V3.1 by smallest.ai. You’re not recreating voice each time, you’re carrying it across, no matter the context. If you’re building anything where voice needs to stay consistent, this makes a big difference. Try it here:

Aria Westcott

39,745 views • 5 months ago

VoxCPM 2 just dropped by OpenBMB Only 2B-param open-source TTS (Text-to-Speech) model built for production-grade multilingual voice work. Apache-2.0 license, Can run on only 8GB VRAM. • Eliminates the "robotic" feel of traditional TTS, delivering prosody and emotional depth suitable for high-stakes professional environments like filmmaking, gaming, animation, and audiobooks. • 30-language multilingual: no language tag needed, just type in a supported language and generate directly. • Voice design: create a brand-new voice from a text description alone, like age, tone, pace, or emotion. No reference audio required. Describe the desired voice characteristics (gender, age, tone, emotion, pace …) in Control Instruction, and VoxCPM2 will craft a unique voice from your description alone. • Controllable cloning: clone from a short clip, then steer delivery style without losing the speaker’s core voice. • Ultimate cloning: use reference audio + transcript for continuation-style cloning that keeps the tiny vocal details. • 48kHz output: takes 16kHz reference audio and produces studio-quality speech without an external upsampler. • Real-time ready: around 0.3 RTF on RTX 4090, even lower with Nano-VLLM. • Commercial use: Apache-2.0 licensed. Developer-Friendly Infrastructure: - Native Torch Inference: Direct support for PyTorch-based workflows. - Training Flexibility: Supports both full-parameter and LoRA fine-tuning for specific domain adaptation. - Production Readiness: Compatible with voxcpm-nanovllm for large-scale, high-concurrency deployment.

Rohan Paul

13,541 views • 4 months ago

💥Simple guide on Billions Network "First AI Agent Rewards" 🤔Only name indicates rewards ⚠️Not sure if there will be any rewards actually ⚠️As major CEX is involved, they may not allow rewards ⚠️Try as it is free, with no expectations ✅If u followed my previous guide for AI Agent, we did it on GitHub ⚠️So mostly our codespace would be terminated ✅So in this guide, we will set up from scratch, link new agent and install skill 🔗 ✅Download text file with all commands 🔗 ✅Login to GitHub ✅Open a blank codespace ✅Open downloaded text file ✅Just copy paste commands one by one ✅After 6th command u will get a link ✅Ctrl + click that link or copy paste link in browser ✅Login using same Billions Network login u used ✅Click verify ✅Now this new agent is linked to ur profile ✅Run 7th command ✅Type 'y' ✅Run 8th command ✅Type 'y' ✅Just click enter when some options r shown 💥Done 💙Like 🔁RT

CryptoTelugu

44,385 views • 4 months ago

Scientists just built a robot smaller than the width of a human hair (!) It has no motor, no computer and no battery It's a 3D-printed, flexible chain of microscopic segments that, after being hit with an electric field, started swimming through liquid like a snake. Try to block its path? It twists around the obstacle, as if it can sense what's in its way. But the strangest thing about it all is that the behavior isn't programmed. It emerges from the physics of the structure itself. The entire robot is 5 micrometers long (for context: a human hair is 70). The researchers think this could one day deliver drugs directly to tumors or infections inside the human body. Sometimes the simplest designs produce the most lifelike behavior.

Scientists just built a robot smaller than the width of a human hair (!) It has no motor, no computer and no battery It's a 3D-printed, flexible chain of microscopic segments that, after being hit with an electric field, started swimming through liquid like a snake. Try to block its path? It twists around the obstacle, as if it can sense what's in its way. But the strangest thing about it all is that the behavior isn't programmed. It emerges from the physics of the structure itself. The entire robot is 5 micrometers long (for context: a human hair is 70). The researchers think this could one day deliver drugs directly to tumors or infections inside the human body. Sometimes the simplest designs produce the most lifelike behavior.

Rowan Cheung

39,916 views • 4 months ago