🌀 AI video now has real emotions!
NVIDIA's revolutionary 3D technology changes video creation forever
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Hey there, AI enthusiasts. A significant shift is happening in how we interact with AI as Tavus introduces emotional intelligence to video interfaces.
This breakthrough comes alongside AI21's powerful Jamba 1.6 models challenging the status quo in enterprise AI deployment.
In Today’s AI Daily:
- AI with real emotional intelligence arrives
- New open-source champion for enterprises
- NVIDIA's 3D video breakthrough
- Microsoft completes training of MAI reasoning models
- Foxconn unveils Taiwan's first reasoning-capable LLM
TAVUS
🎭 Tavus unveils emotionally intelligent AI video interface
Image source: Tavus
What’s new: Tavus just launched a groundbreaking evolution of its Conversational Video Interface (CVI) with emotional intelligence capabilities, allowing developers to build AI agents that can perceive, understand, and engage in human-like video interactions in real time.
Key notes:
- The system is powered by three new models: Phoenix-3 for full-face rendering, Raven-0 for visual perception, and Sparrow-0 for natural conversation flow and timing.
- Phoenix-3 animates entire faces with micro-expressions rather than just synchronizing lips, creating more authentic emotional responses during interactions.
- Raven-0 provides continuous visual processing, allowing the AI to track motion, interpret facial expressions, and maintain situational awareness.
- The company has launched a " Charlie " demo that showcases the technology's capabilities in debugging code, analyzing chess moves, and providing fashion advice.
Why it matters: Human-like conversations are finally a reality. Tavus’s new CVI platform not only understands and responds—it connects emotionally, reshaping how businesses and users interact with AI.
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AI21 LABS
🚀 AI21 launches Jamba 1.6, claiming top spot among open-source models
Image source: Ai21
What’s new: AI21 Labs just released Jamba 1.6, a new family of open-source language models specifically designed for enterprise deployment, outperforming competitors on key benchmarks while allowing for fully private, on-premises installation.
Key notes:
- Jamba Large 1.6 surpasses Mistral Large 2, Llama 3.3 70B, and Command R+ on quality benchmarks, while the smaller Jamba Mini 1.6 outperforms comparable models from those same providers.
- The models feature a massive 256K context window with a hybrid SSM-Transformer architecture, making them particularly effective for RAG applications and long-document processing.
- Enterprise customers including Fnac retail chain have already switched to Jamba 1.6 Mini from larger models, reporting 26% improvement in output quality while gaining 40% better latency.
- The models are available for download from Hugging Face, with deployment options including on-premises and in-VPC configurations.
Why it matters: As enterprises increasingly prioritize data security while adopting AI, the gap between closed proprietary models and open-source alternatives has been a significant barrier. Jamba 1.6 represents a major step toward eliminating that tradeoff, potentially accelerating enterprise AI adoption in highly regulated industries.
NVIDIA
🎥 NVIDIA unveils 3D-consistent video generation with precise camera control
Image source: NVIDIA
What’s new: NVIDIA researchers have introduced GEN3C, a groundbreaking video generation model that creates temporally consistent videos with unprecedented camera control by leveraging 3D geometry rather than mere camera parameters.
Key notes:
- The system builds a "3D cache" from input images or videos by unprojecting pixel-wise depth into point clouds, which can then be rendered with precise camera trajectories.
- Unlike previous approaches that struggle with camera control, GEN3C maintains consistency even when looking back at previously seen areas, using the explicit 3D cache as a reference.
- The model demonstrates superior performance in novel view synthesis, even with minimal inputs like single images or sparse multi-views, outperforming specialized solutions for these tasks.
- Beyond standard novel view synthesis, GEN3C enables advanced editing capabilities such as object removal, cinematic effects like dolly zoom, and modifications to 3D scenes.
Why it matters: By incorporating explicit 3D geometry and precise camera control, GEN3C drastically improves generative video realism and usability, positioning itself as a critical tool for filmmakers, VR developers, and autonomous systems.
WE CHOOSE, YOU EXPLORE
🗞️ What Matters in AI Right Now?
Microsoft reportedly completed training of its MAI reasoning model family, achieving performance comparable to leading OpenAI and Anthropic models on standard benchmarks.
Foxconn unveiled FoxBrain, Taiwan's first reasoning-capable LLM optimized for traditional Chinese, built on Llama 3.1 architecture and trained using 120 Nvidia H100 GPUs.
Together AI introduced ThunderMLA, a specialized decode kernel delivering up to 35% faster performance than DeepSeek's FlashMLA through advanced scheduling techniques.
Luma AI released Ray2 Flash, a new Text-to-Video model offering 3x faster performance at 3x lower cost while maintaining high-quality video generation capabilities.
Sudowrite launched Muse, an AI model specifically trained for fiction writing based on research and feedback from 20,000+ authors using the platform.
Character AI expanded its offerings with immersive POV Characters, allowing users to experience scenarios through the perspective of various personas.
ElevenLabs added voice speed controls across its TTS platforms, enabling word-level pacing adjustments for enhanced expressiveness in spoken content.
Freepik introduced Colors, a feature allowing users to generate AI images with specific color palettes by selecting HEX codes or pre-made schemes.
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