Alternatives to NVIDIA Cosmos

Odyssey-2 represents a cutting-edge interactive video technology that allows for immediate and real-time video generation that users can engage with. Simply enter a prompt, and the system promptly starts streaming several minutes of video that reacts to your input. This innovation transforms video from a traditional playback experience into a responsive, action-sensitive stream: the model operates in a causal and autoregressive manner, crafting each frame based on previous frames and your actions instead of adhering to a set timeline, which enables a seamless adaptation of camera perspectives, environments, characters, and narratives. The platform efficiently begins video streaming nearly instantaneously, generating new frames approximately every 50 milliseconds (around 20 frames per second), ensuring that you don’t have to wait long for content but instead immerse yourself in an evolving narrative. Beneath its surface, the model employs an advanced multi-stage training process that shifts from generating fixed clips to creating open-ended interactive video experiences, granting you the ability to type or voice commands while exploring a world crafted by AI that responds in real-time. This innovative approach not only enhances engagement but also revolutionizes the way viewers interact with visual storytelling.

Odyssey-2 Pro represents a groundbreaking general-purpose world model that allows for the generation of continuous, interactive simulations, which can be seamlessly integrated into various products through the Odyssey API, akin to the significant impact that GPT-2 had on language processing. This model is developed using extensive video and interaction datasets, enabling it to understand the progression of events frame-by-frame and produce simulations that last for minutes, rather than just brief static clips. With its enhanced physics, richer dynamics, more lifelike behaviors, and clearer visuals, Odyssey-2 Pro streams 720p video at approximately 22 frames per second, providing immediate responses to user prompts and actions. Furthermore, it facilitates the integration of interactive streams, viewable streams, and parameterized simulations into applications through straightforward SDKs available in both JavaScript and Python. Developers can incorporate this powerful model with fewer than ten lines of code, allowing them to craft open-ended, interactive video experiences that dynamically change based on user interactions, thus enhancing the overall engagement and immersion. This capability not only revolutionizes how simulations are utilized but also opens the door for innovative applications across various industries.

Mirage 2 is an innovative Generative World Engine powered by AI, allowing users to effortlessly convert images or textual descriptions into dynamic, interactive game environments right within their browser. Whether you upload sketches, concept art, photographs, or prompts like “Ghibli-style village” or “Paris street scene,” Mirage 2 crafts rich, immersive worlds for you to explore in real time. This interactive experience is not bound by pre-defined scripts; users can alter their environments during gameplay through natural-language chat, enabling the settings to shift fluidly from a cyberpunk metropolis to a lush rainforest or a majestic mountaintop castle, all while maintaining low latency (approximately 200 ms) on a standard consumer GPU. Furthermore, Mirage 2 boasts smooth rendering and offers real-time prompt control, allowing for extended gameplay durations that go beyond ten minutes. Unlike previous world-modeling systems, it excels in general-domain generation, eliminating restrictions on styles or genres, and provides seamless world adaptation alongside sharing capabilities, which enhances collaborative creativity among users. This transformative platform not only redefines game development but also encourages a vibrant community of creators to engage and explore together.

Marble is an innovative AI model currently undergoing internal testing at World Labs, serving as a variation and enhancement of their Large World Model technology. This web-based service transforms a single two-dimensional image into an immersive and navigable spatial environment. Marble provides two modes of generation: a smaller, quicker model ideal for rough previews that allows for rapid iterations, and a larger, high-fidelity model that, while taking about ten minutes to produce, results in a far more realistic and detailed output. The core value of Marble lies in its ability to instantly create photogrammetry-like environments from just one image, eliminating the need for extensive capture equipment, and enabling users to turn a singular photo into an interactive space suitable for memory documentation, mood board creation, architectural visualization previews, or various creative explorations. As such, Marble opens up new avenues for users looking to engage with their visual content in a more dynamic and interactive way.

Genie 3 represents DeepMind's innovative leap in general-purpose world modeling, capable of real-time generation of immersive 3D environments at 720p resolution and 24 frames per second, maintaining consistency for several minutes. When provided with textual prompts, this advanced system fabricates interactive virtual landscapes that allow users and embodied agents to explore and engage with natural occurrences from various viewpoints, including first-person and isometric perspectives. One of its remarkable capabilities is the emergent long-horizon visual memory, which ensures that environmental details remain consistent even over lengthy interactions, retaining off-screen elements and spatial coherence when revisited. Additionally, Genie 3 features “promptable world events,” granting users the ability to dynamically alter scenes, such as modifying weather conditions or adding new objects as desired. Tailored for research involving embodied agents, Genie 3 works in harmony with systems like SIMA, enhancing navigation based on specific goals and enabling the execution of intricate tasks. This level of interactivity and adaptability marks a significant advancement in how virtual environments can be experienced and manipulated.

GWM-1 is Runway’s first family of General World Models created to interact dynamically with simulated reality. Built on Gen-4.5, the model produces real-time, action-conditioned video rather than static imagery alone. GWM-1 allows users to control environments through camera motion, robotics commands, events, and speech inputs. It generates coherent visual scenes that persist across movement and time. The model supports synchronized video, image, and audio generation for immersive simulation. GWM-1 is designed to learn from interaction and trial-and-error rather than passive data consumption. It enables realistic exploration of both physical and imagined worlds. Runway positions GWM-1 as foundational technology for robotics, training, and creative systems. The model scales across multiple domains without manual environment design. GWM-1 marks a shift toward experiential AI systems.

Qwen3-VL represents the latest addition to Alibaba Cloud's Qwen model lineup, integrating sophisticated text processing with exceptional visual and video analysis capabilities into a cohesive multimodal framework. This model accommodates diverse input types, including text, images, and videos, and it is adept at managing lengthy and intertwined contexts, supporting up to 256 K tokens with potential for further expansion. With significant enhancements in spatial reasoning, visual understanding, and multimodal reasoning, Qwen3-VL's architecture features several groundbreaking innovations like Interleaved-MRoPE for reliable spatio-temporal positional encoding, DeepStack to utilize multi-level features from its Vision Transformer backbone for improved image-text correlation, and text–timestamp alignment for accurate reasoning of video content and time-related events. These advancements empower Qwen3-VL to analyze intricate scenes, track fluid video narratives, and interpret visual compositions with a high degree of sophistication. The model's capabilities mark a notable leap forward in the field of multimodal AI applications, showcasing its potential for a wide array of practical uses.

The Linker VisionAI Platform offers a holistic, all-in-one solution for vision AI, incorporating elements of simulation, training, and deployment to enhance the capabilities of smart cities and businesses. It is built around three essential components: Mirra, which generates synthetic data through NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, which streamlines data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, designed for the deployment of large-scale Vision Language Models (VLM) using NVIDIA NIM. This cohesive strategy facilitates a smooth progression from simulated data to practical application, ensuring that AI models are both resilient and flexible. By utilizing urban camera networks and advanced AI technologies, the Linker VisionAI Platform supports a variety of functions, such as managing traffic, enhancing worker safety, and responding to disasters. In addition, its comprehensive capabilities allow organizations to make well-informed decisions in real-time, significantly improving operational efficiency across diverse sectors.

Tencent Hunyuan represents a comprehensive family of multimodal AI models crafted by Tencent, encompassing a range of modalities including text, images, video, and 3D data, all aimed at facilitating general-purpose AI applications such as content creation, visual reasoning, and automating business processes. This model family features various iterations tailored for tasks like natural language interpretation, multimodal comprehension that combines vision and language (such as understanding images and videos), generating images from text, creating videos, and producing 3D content. The Hunyuan models utilize a mixture-of-experts framework alongside innovative strategies, including hybrid "mamba-transformer" architectures, to excel in tasks requiring reasoning, long-context comprehension, cross-modal interactions, and efficient inference capabilities. A notable example is the Hunyuan-Vision-1.5 vision-language model, which facilitates "thinking-on-image," allowing for intricate multimodal understanding and reasoning across images, video segments, diagrams, or spatial information. This robust architecture positions Hunyuan as a versatile tool in the rapidly evolving field of AI, capable of addressing a diverse array of challenges.

NVIDIA's Isaac GR00T (Generalist Robot 00 Technology) serves as an innovative research platform aimed at the creation of versatile humanoid robot foundation models and their associated data pipelines. This platform features models such as Isaac GR00T-N, alongside synthetic motion blueprints, GR00T-Mimic for enhancing demonstrations, and GR00T-Dreams, which generates novel synthetic trajectories to expedite the progress in humanoid robotics. A recent highlight is the introduction of the open-source Isaac GR00T N1 foundation model, characterized by a dual-system cognitive structure that includes a rapid-response “System 1” action model and a language-capable, deliberative “System 2” reasoning model. The latest iteration, GR00T N1.5, brings forth significant upgrades, including enhanced vision-language grounding, improved following of language commands, increased adaptability with few-shot learning, and support for new robot embodiments. With the integration of tools like Isaac Sim, Lab, and Omniverse, GR00T enables developers to effectively train, simulate, post-train, and deploy adaptable humanoid agents utilizing a blend of real and synthetic data. This comprehensive approach not only accelerates robotics research but also opens up new avenues for innovation in humanoid robot applications.

NVIDIA Isaac Sim is a free and open-source robotics simulation tool that operates on the NVIDIA Omniverse platform, allowing developers to create, simulate, evaluate, and train AI-powered robots within highly realistic virtual settings. Utilizing Universal Scene Description (OpenUSD), it provides extensive customization options, enabling users to build tailored simulators or to incorporate the functionalities of Isaac Sim into their existing validation frameworks effortlessly. The platform facilitates three core processes: the generation of large-scale synthetic datasets for training foundational models with lifelike rendering and automatic ground truth labeling; software-in-the-loop testing that links real robot software to simulated hardware for validating control and perception systems; and robot learning facilitated by NVIDIA’s Isaac Lab, which hastens the training of robot behaviors in a simulated environment before they are deployed in the real world. Additionally, Isaac Sim features GPU-accelerated physics through NVIDIA PhysX and offers RTX-enabled sensor simulations, empowering developers to refine their robotic systems. This comprehensive toolset not only enhances the efficiency of robot development but also contributes significantly to advancing robotic AI capabilities.

BIOVIA COSMO-RS serves as an extensive toolkit for modeling and forecasting fluid phase characteristics, which empowers professionals such as chemical engineers, chemists, formulation experts, and materials scientists to innovate and develop solutions more rapidly and effectively than relying solely on traditional testing and experimentation methods, thereby enhancing innovation while minimizing costs. The simulations conducted using COSMO-RS are grounded in a solid scientific framework, guaranteeing dependable predictions across the entire spectrum of liquid-state chemistry. By employing a first-principle methodology, it is capable of forecasting the properties of new compounds that have yet to be synthesized, pushing the boundaries of known chemical territory. The team behind BIOVIA consists of the original creators of COSMO-RS, providing prompt assistance and unparalleled expertise to tackle even the most complex challenges in solution thermodynamics. Additionally, the primary advantages encompass a solid scientific basis that merges quantum chemistry with thermodynamics to assure both accuracy and reliability, fostering a deeper understanding of fluid behaviors in various contexts. This comprehensive approach not only streamlines the research process but also opens up new avenues for exploration within the field.

Molmo 2 represents a cutting-edge suite of open vision-language models that come with completely accessible weights, training data, and code, thereby advancing the original Molmo series' capabilities in grounded image comprehension to encompass video and multiple image inputs. This evolution enables sophisticated video analysis, including pointing, tracking, dense captioning, and question-answering functionalities, all of which demonstrate robust spatial and temporal reasoning across frames. The suite consists of three distinct models: an 8 billion-parameter variant tailored for comprehensive video grounding and QA tasks, a 4 billion-parameter model that prioritizes efficiency, and a 7 billion-parameter model backed by Olmo, which features a fully open end-to-end architecture that includes the foundational language model. Notably, these new models surpass their predecessors on key benchmarks, setting unprecedented standards for open-model performance in image and video comprehension tasks. Furthermore, they often rival significantly larger proprietary systems while being trained on a much smaller dataset compared to similar closed models, showcasing their efficiency and effectiveness in the field. This impressive achievement marks a significant advancement in the accessibility and performance of AI-driven visual understanding technologies.

CosmWasm represents an innovative smart contracting platform designed specifically for the Cosmos ecosystem. For those who may not be familiar with it, this documentation aims to provide an in-depth exploration of the technology, catering to developers interested in experimenting with or incorporating it into their projects. The focus is particularly on Go developers experienced with the Cosmos SDK, as well as Rust developers in search of a blockchain solution. As a module that seamlessly integrates with the Cosmos SDK, CosmWasm enables anyone developing a blockchain with this framework to effortlessly incorporate smart contract functionality into their chain without needing to modify existing logic. Additionally, we offer a sample binary, known as wasmd, which features CosmWasm integrated into the gaiad binary, allowing you to effortlessly launch a new blockchain equipped with smart contracts right from the start, utilizing well-documented, tested tools and the same security protocols as those employed by the Cosmos Hub. This ease of setup encourages more developers to join the ecosystem and leverage the powerful capabilities of smart contracts.

CosmoLex and every lawyer understand that efficiency and compliance are essential to a law firm's survival. CosmoLex offers a fully integrated and simple-to-use practice management solution. CosmoLex is a single platform that allows users to track and manage billing, practice, and accounting.

Meet Cosmo, the ultimate AI assistant that enhances your browsing experience by providing seamless access to artificial intelligence across the internet. With the Cosmo Chrome extension, you can engage in conversations, generate creative content, craft tweets, respond to emails swiftly, and obtain immediate answers to your inquiries—all from any website you visit. Highlighted Features 🗨️ Engage in conversation with Cosmo ✍️ Generate content effortlessly 🐦 Compose tweets with ease 📧 Quick email replies 🎓 Create LinkedIn content seamlessly ❓ Instant answers just a click away .....and much more! Cosmo is designed to be your essential tool for boosting productivity and streamlining content creation, ensuring that your online tasks are handled with greater ease and efficiency. Don’t miss out on the chance to transform your web experience; try Cosmo today and step into the future of AI assistance right from your browser!

HunyuanVision, an innovative vision-language model created by Tencent's Hunyuan team, employs a mamba-transformer hybrid architecture that excels in performance and offers efficient inference for multimodal reasoning challenges. The latest iteration, Hunyuan-Vision-1.5, focuses on the concept of “thinking on images,” enabling it to not only comprehend the interplay of visual and linguistic content but also engage in advanced reasoning that includes tasks like cropping, zooming, pointing, box drawing, or annotating images for enhanced understanding. This model is versatile, supporting various vision tasks such as image and video recognition, OCR, and diagram interpretation, in addition to facilitating visual reasoning and 3D spatial awareness, all within a cohesive multilingual framework. Designed for compatibility across different languages and tasks, HunyuanVision aims to be open-sourced, providing access to checkpoints, a technical report, and inference support to foster community engagement and experimentation. Ultimately, this initiative encourages researchers and developers to explore and leverage the model's capabilities in diverse applications.

Cosmo Tech offers a comprehensive 360° Simulation Digital Twin platform designed to tackle intricate industrial challenges and enhance enterprise decision-making. Companies in the industrial sector depend on Cosmo Tech to forecast their organizational evolution, enabling them to comprehend the repercussions of their choices and optimize planning at every level, thus ensuring a future that is strong, adaptable, and sustainable. To prepare for unforeseen circumstances, it is essential to create scenarios that simulate potential disruptions within your system. By conducting simulations that account for events such as equipment failures, employee strikes, and rising expenses, businesses can strategically plan for quick recovery in such situations. Identify the various parameters and processes that can be modified within your digital twin to facilitate informed and confident decision-making. Instantly observe all the factors that influence decision outcomes, along with the cascading effects of any adjustments made, providing a clear overview that aids in strategic planning. This holistic approach empowers organizations to navigate complex landscapes with greater agility and foresight.

Qwen3.5 represents a major advancement in open-weight multimodal AI models, engineered to function as a native vision-language agent system. Its flagship model, Qwen3.5-397B-A17B, leverages a hybrid architecture that fuses Gated DeltaNet linear attention with a high-sparsity mixture-of-experts framework, allowing only 17 billion parameters to activate during inference for improved speed and cost efficiency. Despite its sparse activation, the full 397-billion-parameter model achieves competitive performance across reasoning, coding, multilingual benchmarks, and complex agent evaluations. The hosted Qwen3.5-Plus version supports a one-million-token context window and includes built-in tool use for search, code interpretation, and adaptive reasoning. The model significantly expands multilingual coverage to 201 languages and dialects while improving encoding efficiency with a larger vocabulary. Native multimodal training enables strong performance in image understanding, video processing, document analysis, and spatial reasoning tasks. Its infrastructure includes FP8 precision pipelines and heterogeneous parallelism to boost throughput and reduce memory consumption. Reinforcement learning at scale enhances multi-step planning and general agent behavior across text and multimodal environments. Overall, Qwen3.5 positions itself as a high-efficiency foundation for autonomous digital agents capable of reasoning, searching, coding, and interacting with complex environments.

Azure Cosmos DB offers a fully managed NoSQL database solution tailored for contemporary application development, ensuring single-digit millisecond response times and an impressive availability rate of 99.999 percent, all supported by service level agreements. This service provides automatic, instantaneous scalability and supports open-source APIs for MongoDB and Cassandra, allowing for rapid data operations. With its turnkey multi-master global distribution, users can experience swift read and write operations from any location around the globe. Additionally, Azure Cosmos DB enables organizations to accelerate their decision-making processes by facilitating near-real-time analytics and AI capabilities on the operational data housed within the database. Furthermore, Azure Synapse Link for Azure Cosmos DB integrates effortlessly with Azure Synapse Analytics, ensuring smooth performance without necessitating data movement or compromising the efficiency of the operational data store, enhancing the overall functionality of your data strategy. This integration not only streamlines workflows but also empowers users to derive insights more efficiently.

NVIDIA Picasso is an innovative cloud platform designed for the creation of visual applications utilizing generative AI technology. This service allows businesses, software developers, and service providers to execute inference on their models, train NVIDIA's Edify foundation models with their unique data, or utilize pre-trained models to create images, videos, and 3D content based on text prompts. Fully optimized for GPUs, Picasso enhances the efficiency of training, optimization, and inference processes on the NVIDIA DGX Cloud infrastructure. Organizations and developers are empowered to either train NVIDIA’s Edify models using their proprietary datasets or jumpstart their projects with models that have already been trained in collaboration with prestigious partners. The platform features an expert denoising network capable of producing photorealistic 4K images, while its temporal layers and innovative video denoiser ensure the generation of high-fidelity videos that maintain temporal consistency. Additionally, a cutting-edge optimization framework allows for the creation of 3D objects and meshes that exhibit high-quality geometry. This comprehensive cloud service supports the development and deployment of generative AI-based applications across image, video, and 3D formats, making it an invaluable tool for modern creators. Through its robust capabilities, NVIDIA Picasso sets a new standard in the realm of visual content generation.

Introducing the Inter-Blockchain Communication Protocol, often referred to as IBC, which functions as the IP layer specifically designed for blockchains. IBC stands out as the most secure, decentralized method for transferring assets between various blockchains, facilitating interoperability across a multitude of chains. Evmos, utilizing the Cosmos SDK, is the pioneering IBC-compatible EVM-based chain that enhances Ethereum's capabilities by introducing composability, interoperability, and rapid finality. Built on a scalable proof-of-stake model, Evmos provides a version of Ethereum that is both efficient and adaptable. This platform enables the operation of standard Ethereum as a specialized Cosmos application blockchain, allowing developers to harness Ethereum's essential features while reaping the benefits of Tendermint's PoS framework. Additionally, being constructed upon the Cosmos SDK, Evmos is equipped to transact value seamlessly within the broader Cosmos Ecosystem via the IBC protocol, thus broadening its potential use cases and enhancing cross-chain interactions. Overall, Evmos represents a significant advancement in blockchain technology, merging the strengths of both Ethereum and Cosmos into a single, powerful platform.

The integration of TCP/IP and HTTP protocols within blockchain technology can enhance and expand the Internet of Blockchains, facilitating seamless data and application services across both on-chain and off-chain environments. The efficient Inter-Blockchain Communication (IBC) protocol is designed to boost heterogeneous interchain capabilities, allowing for the transfer of NFTs, interaction with smart contracts, and other cross-chain functionalities. This digitization of assets on various blockchains ensures a reliable and efficient means of transferring and distributing value. The cross-chain Automated Market Maker (AMM) protocol emerges as an innovative platform designed specifically for the Cosmos application ecosystem. Within this framework, the IRIS network operates as a vital component of the broader Cosmos network, enabling all zones to communicate with one another via the standardized IBC protocol. By adding a layer of service semantics to the network, we are set to deliver groundbreaking solutions that will open up a myriad of new business opportunities, thereby enhancing both the scale and diversity of the Cosmos ecosystem. Such advancements are poised to significantly transform interactions between different blockchain zones, fostering an interconnected digital landscape.

The Cosmos network represents a continuously growing ecosystem of linked applications and services designed for a future characterized by decentralization. Immerse yourself in a novel realm of interconnected services. Utilizing the Inter-Blockchain Communication (IBC) protocol, Cosmos applications and services enable seamless asset and data exchanges across independent decentralized blockchains. As the economic heart of the Cosmos, the Cosmos Hub functions as a blockchain that offers essential services for the Interchain. It is poised to launch a cutting-edge decentralized exchange that will facilitate the swapping of digital assets from various blockchains within the Interchain, boasting minimal fees and immediate transaction verifications. Additionally, the anticipated Interchain Staking feature will allow ATOM to secure multiple chains while providing users with extra staking rewards. A fundamental objective of the Hub is to link different blockchains by creating IBC connections with compatible networks and establishing decentralized bridges to prominent chains like Ethereum and Bitcoin, thereby enhancing the overall interoperability of the blockchain ecosystem. Ultimately, Cosmos aims to create a more connected and efficient digital landscape.

CosmOS is an innovative operating system centered on artificial intelligence and serves as an intelligent orchestration platform that was initially created by Humane and is being further developed by HP IQ, the AI innovation division of HP dedicated to infusing contextual intelligence into various devices. In contrast to conventional operating systems that depend on users to manually manage app workflows, CosmOS is designed around a network of specialized AI agents, complemented by an “AI Bus” orchestration layer that facilitates the seamless flow of information between hardware, models, and services, enabling the system to predict user needs, carry out complex tasks, and provide contextual support without requiring users to open separate applications. Additionally, it supports a variety of interaction modes including voice, text, vision, gesture, and touch, which allows for a more intuitive and fluid user experience while the system continuously learns from user behavior to tailor its responses and evolve over time. This sophisticated approach aims to redefine how users engage with technology, making it more responsive and user-friendly.

Qwen3.5-Plus is an advanced multimodal foundation model engineered to deliver efficient large-context reasoning across text, image, and video inputs. Powered by a hybrid architecture that merges linear attention mechanisms with a sparse mixture-of-experts framework, the model achieves state-of-the-art performance while reducing computational overhead. It supports deep thinking mode, enabling extended reasoning chains of up to 80K tokens and total context windows of up to 1 million tokens. Developers can leverage features such as structured output generation, function calling, web search, and integrated code interpretation to build intelligent agent workflows. The model is optimized for high throughput, supporting large token-per-minute limits and robust rate limits for enterprise-scale applications. Qwen3.5-Plus also includes explicit caching options to reduce costs during repeated inference tasks. With tiered pricing based on input and output tokens, organizations can scale usage predictably. OpenAI-compatible API endpoints make integration straightforward across existing AI stacks and developer tools. Designed for demanding applications, Qwen3.5-Plus excels in long-document analysis, multimodal reasoning, and advanced AI agent development.

Experience exceptional property management with FCS CosmoPMS, a platform designed for the hospitality industry that is optimized for mobile devices. This advanced system allows users to streamline both front and back of house operations, leading to improved efficiency that boosts revenue and occupancy rates. With its user-friendly interface, managing operations becomes effortless and straightforward. Accessible on various mobile devices, including tablets and smartphones, FCS CosmoPMS enables easy configuration of user roles, Forex, room rates, and customization of guest forms. It also features seamless integration with SiteMinder and OTAs like Booking.com, allowing for real-time, two-way connections that enhance reservation management. Save valuable time by automating housekeeping tasks, ensuring guests never have to wait for a clean room again. Forget about the need for walkie-talkies or phone calls to check room availability. By leveraging data-driven insights, you can increase profits and monitor your hotel's growth while maintaining complete control over operations. FCS CosmoPMS empowers hospitality professionals to optimize their services and elevate guest experiences.

Gemini 3 Pro is a next-generation AI model from Google designed to push the boundaries of reasoning, creativity, and code generation. With a 1-million-token context window and deep multimodal understanding, it processes text, images, and video with unprecedented accuracy and depth. Gemini 3 Pro is purpose-built for agentic coding, performing complex, multi-step programming tasks across files and frameworks—handling refactoring, debugging, and feature implementation autonomously. It integrates seamlessly with development tools like Google Antigravity, Gemini CLI, Android Studio, and third-party IDEs including Cursor and JetBrains. In visual reasoning, it leads benchmarks such as MMMU-Pro and WebDev Arena, demonstrating world-class proficiency in image and video comprehension. The model’s vibe coding capability enables developers to build entire applications using only natural language prompts, transforming high-level ideas into functional, interactive apps. Gemini 3 Pro also features advanced spatial reasoning, powering applications in robotics, XR, and autonomous navigation. With its structured outputs, grounding with Google Search, and client-side bash tool, Gemini 3 Pro enables developers to automate workflows and build intelligent systems faster than ever.

Sora is an advanced AI model designed to transform text descriptions into vivid and lifelike video scenes. Our focus is on training AI to grasp and replicate the dynamics of the physical world, with the aim of developing systems that assist individuals in tackling challenges that necessitate real-world engagement. Meet Sora, our innovative text-to-video model, which has the capability to produce videos lasting up to sixty seconds while preserving high visual fidelity and closely following the user's instructions. This model excels in crafting intricate scenes filled with numerous characters, distinct movements, and precise details regarding both the subject and surrounding environment. Furthermore, Sora comprehends not only the requests made in the prompt but also the real-world contexts in which these elements exist, allowing for a more authentic representation of scenarios.

Cosmology pioneers advanced tools for the interchain landscape, facilitating seamless connectivity within the blockchain internet. It specifically enhances the IBC framework, enabling smooth interactions throughout the Cosmos network. The platform offers a wallet adapter that allows developers to create applications that efficiently engage with various Cosmos blockchains and wallets. Additionally, it features a high-level programming language tailored for developing smart contracts on the CosmWasm platform. OsmosJS simplifies the process of composing and transmitting messages for Osmosis and Cosmos, automatically managing all proto and amino encodings. With Starship, developers can easily establish a universal interchain development environment within Kubernetes. Our goal is to introduce innovative solutions that not only empower developers and creators but also free up valuable time, allowing you to concentrate on shaping the future of blockchain technology. By simply referencing your proto buffer files, you can generate developer-friendly Typescript libraries, equipping teams with the tools necessary to build on your blockchain effortlessly. This comprehensive ecosystem ultimately fosters collaboration and creativity among blockchain developers.

GLM-4.1V is an advanced vision-language model that offers a robust and streamlined multimodal capability for reasoning and understanding across various forms of media, including images, text, and documents. The 9-billion-parameter version, known as GLM-4.1V-9B-Thinking, is developed on the foundation of GLM-4-9B and has been improved through a unique training approach that employs Reinforcement Learning with Curriculum Sampling (RLCS). This model accommodates a context window of 64k tokens and can process high-resolution inputs, supporting images up to 4K resolution with any aspect ratio, which allows it to tackle intricate tasks such as optical character recognition, image captioning, chart and document parsing, video analysis, scene comprehension, and GUI-agent workflows, including the interpretation of screenshots and recognition of UI elements. In benchmark tests conducted at the 10 B-parameter scale, GLM-4.1V-9B-Thinking demonstrated exceptional capabilities, achieving the highest performance on 23 out of 28 evaluated tasks. Its advancements signify a substantial leap forward in the integration of visual and textual data, setting a new standard for multimodal models in various applications.

Lucky Robots is an innovative platform dedicated to robotics simulation that empowers teams to train, assess, and enhance AI models for robots within meticulously crafted virtual environments that closely reflect the nuances of real-world physics, sensors, and interactions. This system facilitates the extensive creation of synthetic training data and allows for swift iterations without the need for physical robots or expensive lab environments. By leveraging cutting-edge simulation technology, it constructs hyper-realistic scenarios, such as kitchens and various terrains, enabling the exploration of diverse edge cases and the generation of millions of labeled episodes to support scalable model learning. This approach not only speeds up development but also significantly cuts costs and minimizes safety risks. Additionally, the platform accommodates natural language control in its simulated environments, provides the flexibility for users to upload their own robot models or select from existing commercial options, and incorporates collaborative tools through LuckyHub for sharing environments and training workflows. As a result, developers can optimize their models more effectively for real-world applications, ultimately enhancing the performance and reliability of their robotic solutions.

Discover the networks created with Cosmos-SDK through Mintscan, a block explorer tailored for both exchanges and casual users. You can sign transactions securely using a user-friendly graphical interface. Additionally, there's a decentralized mobile wallet specifically designed for Tendermint-based chains, allowing you to connect your hardware wallet for added transaction security. For those who prefer a web-based solution, a decentralized wallet is also available for networks utilizing the Cosmos SDK. Defistation serves as a DeFi leaderboard and analytics platform, offering valuable metrics and charts that help you understand the evolving landscape of decentralized finance. To ensure the integrity of our validator node, we have established a robust framework to thwart potential attacks. We also maintain continuous monitoring, 24/7, to detect any malicious traffic affecting our nodes. Our private network collaborates with trusted partners to enhance security. Currently, we are assessing the implementation of a Hardware Security Module (HSM), which is a physical computing device designed to protect digital keys and offer strong authentication. With this HSM in place, the validator's private key will be securely stored and will never be exposed programmatically, enhancing our overall security measures significantly. This initiative reflects our commitment to maintaining a secure and resilient DeFi ecosystem.

Big Dipper is a versatile open-source tool for blockchain exploration and token management, catering to over ten proof-of-stake networks. It has been forked more than a hundred times on GitHub and is utilized by users across 140 different countries and territories. Initially launched in 2018 as a project within the Cosmos community, Big Dipper was crafted specifically for blockchains that utilize the Cosmos SDK, ensuring an optimal experience with near real-time on-chain data accessibility. The platform aggregates data through various endpoints from Tendermint, Cosmos SDK, and command line interfaces, all presented within a unified web interface. Developed by Forbole, a seasoned provider of staking-as-a-service and a committed player in the blockchain sector, Big Dipper benefits from a team with deep expertise in network infrastructure, software engineering, and user experience design. The vision behind Big Dipper is to create a straightforward and user-friendly crypto asset management platform that caters to all crypto enthusiasts, fostering a more accessible blockchain experience for everyone. By continuously enhancing its features, Big Dipper aims to remain an essential resource for both newcomers and experienced users in the cryptocurrency space.

Travel Force Cosmos® is a comprehensive modern mid-back office solution capable of interfacing with GDSs, various databases, and other service providers. This application operates as a rich client installed directly on the DMC's server, along with its centralized database; however, if preferred, the database can also be hosted on any cloud server. It is designed to cater to medium and large-sized DMCs, requiring a minimum of 10 terminals, making it ideal for multi-country, multi-branch, and multicurrency operations. Primarily targeting business and leisure travel as well as tour operator organizations, Travel Force Cosmos® functions as a complete ERP and accounting application that addresses the unique challenges faced by the travel industry, including ticketing, BSP, and specific VAT regulation services. Each module within the Travel Force Cosmos® Application Suite is seamlessly interconnected and highly customizable, enabling automatic translations of user actions for enhanced efficiency and usability. This adaptability allows DMCs to optimize their operations and improve overall service delivery across various platforms and customer interactions.

Synetic AI is an innovative platform designed to speed up the development and implementation of practical computer vision models by automatically creating highly realistic synthetic training datasets with meticulous annotations, eliminating the need for manual labeling altogether. Utilizing sophisticated physics-based rendering and simulation techniques, it bridges the gap between synthetic and real-world data, resulting in enhanced model performance. Research has shown that its synthetic data consistently surpasses real-world datasets by an impressive average of 34% in terms of generalization and recall. This platform accommodates an infinite array of variations—including different lighting, weather conditions, camera perspectives, and edge cases—while providing extensive metadata, thorough annotations, and support for multi-modal sensors. This capability allows teams to quickly iterate and train their models more efficiently and cost-effectively compared to conventional methods. Furthermore, Synetic AI is compatible with standard architectures and export formats, manages edge deployment and monitoring, and can produce complete datasets within about a week, along with custom-trained models ready in just a few weeks, ensuring rapid delivery and adaptability to various project needs. Overall, Synetic AI stands out as a game-changer in the realm of computer vision, revolutionizing how synthetic data is leveraged to enhance model accuracy and efficiency.

Delve into the realm of interoperable blockchain applications that thrive within the Cosmos ecosystem and extend beyond its boundaries. You can stake your tokens, engage with various blockchain applications, and oversee all your tokens conveniently from a single wallet. Additionally, private keys are securely stored locally, eliminating the complications and risks associated with web pages managing user private keys. As a result, users are relieved from the burden of worrying about the security protocols of websites, since their private keys are not under external management. This setup allows individuals to place their trust solely in the security features provided by Keplr, enabling them to interact freely and confidently with numerous web applications while also having the ability to verify transaction details independently. This empowers users to fully enjoy the decentralized nature of blockchain technology without compromising their security.

Runway is an AI platform dedicated to building foundational models that can simulate the visual and physical world. It develops cutting-edge generative systems for video creation, world simulation, and autonomous agents. Runway’s Gen-4.5 model delivers industry-leading video generation with precise motion, realism, and prompt accuracy. Beyond media, Runway advances General World Models that enable interactive environments and robotic learning. The platform supports real-time video agents capable of natural conversation and contextual awareness. Runway combines artistic creativity with scientific research to unlock new possibilities across industries. Its tools are adopted by filmmakers, architects, researchers, and robotics teams. Runway also collaborates with global organizations to push AI innovation forward. The company invests heavily in long-term AI research and simulation. Runway positions world modeling as the next frontier of intelligence.

Reka Flash 3 is a cutting-edge multimodal AI model with 21 billion parameters, crafted by Reka AI to perform exceptionally well in tasks such as general conversation, coding, following instructions, and executing functions. This model adeptly handles and analyzes a myriad of inputs, including text, images, video, and audio, providing a versatile and compact solution for a wide range of applications. Built from the ground up, Reka Flash 3 was trained on a rich array of datasets, encompassing both publicly available and synthetic information, and it underwent a meticulous instruction tuning process with high-quality selected data to fine-tune its capabilities. The final phase of its training involved employing reinforcement learning techniques, specifically using the REINFORCE Leave One-Out (RLOO) method, which combined both model-based and rule-based rewards to significantly improve its reasoning skills. With an impressive context length of 32,000 tokens, Reka Flash 3 competes effectively with proprietary models like OpenAI's o1-mini, making it an excellent choice for applications requiring low latency or on-device processing. The model operates at full precision with a memory requirement of 39GB (fp16), although it can be efficiently reduced to just 11GB through the use of 4-bit quantization, demonstrating its adaptability for various deployment scenarios. Overall, Reka Flash 3 represents a significant advancement in multimodal AI technology, capable of meeting diverse user needs across multiple platforms.

VideoPoet is an innovative modeling technique that transforms any autoregressive language model or large language model (LLM) into an effective video generator. It comprises several straightforward components. An autoregressive language model is trained across multiple modalities—video, image, audio, and text—to predict the subsequent video or audio token in a sequence. The training framework for the LLM incorporates a range of multimodal generative learning objectives, such as text-to-video, text-to-image, image-to-video, video frame continuation, inpainting and outpainting of videos, video stylization, and video-to-audio conversion. Additionally, these tasks can be combined to enhance zero-shot capabilities. This straightforward approach demonstrates that language models are capable of generating and editing videos with impressive temporal coherence, showcasing the potential for advanced multimedia applications. As a result, VideoPoet opens up exciting possibilities for creative expression and automated content creation.

BIOVIA TURBOMOLE is an advanced software package for quantum chemistry that specializes in ab initio electronic structure calculations for a variety of systems, including molecules, clusters, periodic structures, and solutions. Originally developed at the University of Karlsruhe and Forschungszentrum Karlsruhe GmbH, the package is currently managed by TURBOMOLE GmbH, which has expanded its capabilities to include a wide range of computational methods such as density functional theory (DFT), Møller–Plesset perturbation theory, coupled-cluster techniques, and GW-Bethe–Salpeter approaches. It stands out for its ability to provide precise predictions related to chemical reactions, spectroscopy, and simulations of optical devices. Key features include optimization of reaction pathways, searches for transition states, and the modeling of solvation effects through COSMO-RS. Additionally, its spectroscopic tools cover various techniques such as IR, Raman, VCD, UV-Vis, and vibronic spectra, while simulations of optical properties are enhanced by sophisticated methods for spin-orbit coupling and relativistic all-electron calculations. This powerful software thus serves as an essential resource for researchers aiming to explore complex chemical systems and their properties.

GLM-4.5V-Flash is a vision-language model that is open source and specifically crafted to integrate robust multimodal functionalities into a compact and easily deployable framework. It accommodates various types of inputs including images, videos, documents, and graphical user interfaces, facilitating a range of tasks such as understanding scenes, parsing charts and documents, reading screens, and analyzing multiple images. In contrast to its larger counterparts, GLM-4.5V-Flash maintains a smaller footprint while still embodying essential visual language model features such as visual reasoning, video comprehension, handling GUI tasks, and parsing complex documents. This model can be utilized within “GUI agent” workflows, allowing it to interpret screenshots or desktop captures, identify icons or UI components, and assist with both automated desktop and web tasks. While it may not achieve the performance enhancements seen in the largest models, GLM-4.5V-Flash is highly adaptable for practical multimodal applications where efficiency, reduced resource requirements, and extensive modality support are key considerations. Its design ensures that users can harness powerful functionalities without sacrificing speed or accessibility.

Cosmos serves as a digital office designed for remote teams seeking authentic connections instead of endless meetings. Your team will access a collaborative online environment where everyone can interact easily and engage in productive teamwork without the hassle of scheduling conflicts or delays in communication. This enables spontaneous discussions that can enhance collaboration and streamline processes. The benefits for your team include: ✓ A daily time savings of 45 minutes per person thanks to quick, impromptu chats ✓ A 20% increase in team engagement driven by meaningful daily interactions ✓ Reduced friction in collaboration, allowing ideas to become actionable in mere minutes rather than dragging out for hours Engineered for optimal performance throughout the day: Enjoy high-quality audio and video without facing technical difficulties, as Cosmos functions seamlessly on any laptop, ensuring that your team remains focused on their tasks without interruptions. Here's how it can revolutionize your workflow: • Immediate visibility regarding team members’ availability • One-click initiation of conversations for instant communication • Effortless screen sharing combined with robust collaboration tools • AI-driven summaries and transcriptions of meetings to keep everyone on the same page With Cosmos, remote teamwork becomes more effective and enjoyable, fostering a culture of collaboration and connection that transcends traditional virtual office limitations.

Carbon serves as a foundational cross-chain protocol designed for the decentralized finance (DeFi) ecosystem. It enables users to create open financial markets for various asset types across multiple blockchains. The protocol is the backbone of Demex, a well-known decentralized exchange that facilitates the trading of a wide array of financial instruments. By leveraging the PolyNetwork bridge, Carbon ensures true cross-chain liquidity pools, allowing for seamless interactions between networks such as Ethereum, Cosmos, BSC, Neo, and Zilliqa. Additionally, it fosters innovation within the DeFi space by offering native support for crypto derivatives, Balancer-style liquidity pools, automated market makers (AMMs), and on-chain order books, among other features. Built using the Cosmos-SDK, the protocol is fortified by a robust validator network operating under Tendermint's Proof of Stake consensus mechanism, ensuring secure and trustless transactions. This unique combination of features positions Carbon as a vital player in the ever-evolving DeFi landscape.

PaliGemma 2 represents the next step forward in tunable vision-language models, enhancing the already capable Gemma 2 models by integrating visual capabilities and simplifying the process of achieving outstanding performance through fine-tuning. This advanced model enables users to see, interpret, and engage with visual data, thereby unlocking an array of innovative applications. It comes in various sizes (3B, 10B, 28B parameters) and resolutions (224px, 448px, 896px), allowing for adaptable performance across different use cases. PaliGemma 2 excels at producing rich and contextually appropriate captions for images, surpassing basic object recognition by articulating actions, emotions, and the broader narrative associated with the imagery. Our research showcases its superior capabilities in recognizing chemical formulas, interpreting music scores, performing spatial reasoning, and generating reports for chest X-rays, as elaborated in the accompanying technical documentation. Transitioning to PaliGemma 2 is straightforward for current users, ensuring a seamless upgrade experience while expanding their operational potential. The model's versatility and depth make it an invaluable tool for both researchers and practitioners in various fields.