A new text-to-video startup is attempting to address the art-theft controversy by paying creators directly—but micro-payments and scraped training data complicate the pitch.
Runway's new routing infrastructure automatically selects the optimal image, video, or audio model based on developer priorities like cost, speed, and quality.
NVIDIA NeMo Automodel now works seamlessly with Hugging Face Diffusers, enabling production-grade distributed training of video and image models without checkpoint conversion.
Google expands Vids with custom digital avatars, multi-modal video generation, and step-by-step editing, positioning the tool against specialized AI video platforms.
World model startup Odyssey, founded by autonomous vehicle veterans, secures unicorn status with backing from Amazon, AMD Ventures, and prominent angels.
Allen AI's new MolmoMotion model predicts object trajectories from video, text instructions, and marked 3D points—with applications in robotic manipulation and video generation.
Experimental films at Tribeca Film Festival reveal how human-directed AI can create compelling cinema—a sharp contrast to the short-form content flooding the internet.
Peak XV-backed startup releases culturally-tuned video generation model at ₹0.48/second, positioning open-weights AI for mass adoption across India.
Decart launches Oasis 3, an interactive world model for autonomous vehicle simulation, as the startup positions itself as the 'OpenAI of world models' with a $4B valuation.
Google announced Gemini Omni, a multimodal model that generates and edits video through natural language, and Gemini 3.5 Flash, optimized for complex agent workflows.
Google unveiled Gemini Omni for video generation, Gemini 3.5 Flash for agents and coding, and autonomous Search agents that monitor the web 24/7.
Google released Omni Flash, the first model in its anything-to-anything Gemini family, but early tests reveal significant flaws in character consistency and object rendering.
Google's new Gemini avatar feature lets users create AI videos of themselves, but usage limits and setup quirks raise questions about accessibility and deepfake safeguards.
At I/O 2026, Google DeepMind unveiled Gemini Omni, a multimodal family that generates video from combined image, audio, and text inputs, signaling a shift from generative to simulational AI.
Google's Flow platform now lets users generate AI videos featuring digital clones of themselves, powered by the new Omni Flash model—a capability that mirrors OpenAI's defunct Sora app.
Google unveiled Gemini 3.5 Flash as the new default model, introduced Gemini Omni for text-to-video generation, and previewed always-on agents powered by Gemini Spark.
Gemini Omni Flash enables users to generate and edit videos through natural language prompts, combining multimodal inputs with real-world knowledge.
Google unveiled Gemini Omni, a multimodal model capable of video creation, alongside Gemini 3.5 Flash and expanded agent capabilities across Search, Gmail, and shopping.
Hugging Face publishes parameter-efficient fine-tuning guide for NVIDIA's 2B-parameter world model, enabling domain adaptation for robotic manipulation on consumer hardware.
The video-generation startup is expanding into physics-aware world models, positioning itself as an alternative to Google's language-dominated AI strategy.
As Chinese short-drama platforms dominate global streaming, generative AI is collapsing production timelines from months to weeks while displacing traditional crew roles.