1/ muse spark 1.2 is a very strong multimodal... model—it can do visual coding, robotics planning, and audio-visual understanding that all come together through agentic tools.show more

Now that Gemini Embedding 2 is GA, let’s explore... what the model unlocks — from agentic multimodal RAG to visual search — as it maps text, images, video, audio, and documents into a unified embedding space.show more

Today, we're introducing Muse Image and Muse Video! 🖌️... Muse Image is an agentic image generation model with strong integrations with coding, search, and self-refinement! Muse Video is an early preview of our video generation efforts with strong audio and video generation abilities! Details below! 🧵👇show more

Meet Muse Spark 1.2 and Muse Code, the agent... built to run it against your coding challenges. Now in beta. Together they take a task from idea to production, and deploy teams of agents that plan, write and refine across your repos. Start building now:show more

MiniMax-H3 open source: a general-purpose multimodal generative model that... unified understanding of multimodalof text, images, video, and audio, and is capable of generating audio and video with native stereo sound, supporting up to 15 seconds at 2K resolution.show more

Introducing MiniMax H3, our next-gen open-weight multimodal video model,... built for general intelligence beyond single-task generation. H3 understands text, images, video, and audio together, interpreting motion, sound, emotion, and cinematography as one unified creative language, delivering generation with fine-grained precision and cinematic quality. → Native Multimodal Understanding & Generation → Precision Editing & Control → Commercial-Grade Output: film, ads, MVs, UI, game CG → Cinematic Audio-Visual Quality: native stereo audio, up to 2K/24FPS Multi-asset reference for characters, motion, camera movement + voice cloning. Hailuo AI (MiniMax)'s H3 takes ideas from concept to production in one flow. Try it now: #MiniMaxH3show more

Meet Gemma 3n, a model that runs on as... little as 2GB of RAM 🤯 It shares the same architecture as Gemini Nano, and is engineered for incredible performance. We added audio understanding, so now it’s multimodal, fast and lean, and runs on-device (no cloud connection required!)show more

Show-o One Single Transformer to Unify Multimodal Understanding and... Generation discuss: We present a unified transformer, i.e., Show-o, that unifies multimodal understanding and generation. Unlike fully autoregressive models, Show-o unifies autoregressive and (discrete) diffusion modeling to adaptively handle inputs and outputs of various and mixed modalities. The unified model flexibly supports a wide range of vision-language tasks including visual question-answering, text-to-image generation, text-guided inpainting/extrapolation, and mixed-modality generation. Across various benchmarks, it demonstrates comparable or superior performance to existing individual models with an equivalent or larger number of parameters tailored for understanding or generation. This significantly highlights its potential as a next-generation foundation model.show more

I’ve been eyeing this robotics platform by Vicarius Surgical... for a long time and I am vi-curious to see what it can do. I like that the engineers/designers solved the surgical robotics problem in a different way. I wonder how strong it is and does it scaleshow more

An 100% open-source rival to n8n just launched. Sim... is a drag-and-drop platform for building agentic workflows that runs entirely on your local machine. → Visual, Figma-like canvas interface → Works with any local LLM via Ollama → Native MCP support to connect 100+ toolsshow more

Space for all 🏳️‍🌈 As part of our #PrideMonth... celebration, we unveiled the Pride flag on Lab, a visual reminder that inclusivity is one of NASA JPL's core values and that by fostering a diverse and equitable work environment, we can Dare Mighty Things Together.show more

Most video tools can generate clips. Very few can... maintain identity. That has been the real bottleneck in AI video creation. Kling O1 changes that. For the first time, creators can carry a character, style, and visual language across scenes without constant fixes. You can reference past clips, assets, or images and the output stays consistently on-model. No visual drift. No rework loops. No “this doesn’t look like the last shot” moments. It feels less like prompting a tool and more like working with a creative collaborator that remembers context. The impact is practical, not theoretical: → Faster production cycles → Lower iteration costs → Noticeably higher output quality This is what mature AI tooling looks like. Not louder features. Not bigger claims. Just reliability where it actually matters. Consistency is no longer the problem.show more

Muse Image is now available on Meta Model API... and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements like charts and QR codes. Text-to-image, single-image and multi-image editing, and multi-reference composition all live in one model, so there's no multi-step pipeline to stitch together. Start building →show more

MCP-apps support is coming soon to Visual Studio Code... Really excited about this - IDE as agentic SDLC C&C center - devs can stay focused even more inside their work and bring pieces of it to their IDE like JIRA/linear tickets and other tools right in the IDE Tnx Connor Peetshow more

An AI model from China just crossed a cinematic... threshold. Seedance 2.0 is here. It delivers state-of-the-art motion, prompt adherence, and visual fidelity. 10 wild examples 👇 1/10show more

Most AI video tools can create a striking moment.... The harder part is keeping the whole scene consistent. Dreamina Seedance 2.5 is coming soon to the Dreamina platform, bringing several features designed for creators: - Up to 50 multimodal references Use images, videos, audio, and visual references to guide the generation. - Up to 30-second continuous videos Build longer story beats without cutting everything into tiny clips. - White-model and green-screen control Guide movement, composition, and visual performance with greater precision. - Multilingual creation Create content for audiences across different markets. - Precise local editing Adjust selected parts of a video while keeping the rest intact. AI storytelling is about to become more flexible—and much easier to shape. 👉 #dreamina #dreaminapartner #seedance #dreaminaseedance25show more