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  • Create 3D Models from Images With Meta’s Free SAM 3D App : Turns Photos into Meshes

    Create 3D Models from Images With Meta’s Free SAM 3D App : Turns Photos into Meshes

    Create 3D Models from Images With Meta’s Free SAM 3D App : Turns Photos into Meshes

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    Linux terminal window displaying SAM 3D setup, with VRAM usage highlighted during full pipeline run.

    What if creating high-quality 3D models no longer required expensive software, specialized hardware, or years of expertise? Enter Meta’s SAM 3D, an open source AI tool that promises to provide widespread access to 3D modeling by making it faster, more accessible, and entirely free. Building on the success of Meta’s “Segment Anything Model” (SAM) initiative, this new release aims to simplify complex processes like 3D object reconstruction and pose extraction. Imagine generating a detailed 3D asset from a simple 2D image in just seconds, SAM 3D claims to make this a reality. But with its bold ambitions come inevitable questions: Can it truly rival professional tools? And does its open source nature make it the best free 3D AI available today?

    In this overview Stefan explains what sets Meta’s SAM 3D apart in the crowded landscape of 3D AI tools. From its speed and precision to its limitations in texture quality and export options, we’ll break down its strengths and weaknesses to help you decide if it’s the right fit for your creative or technical needs. Whether you’re an independent developer looking to prototype quickly or a researcher seeking an affordable alternative to costly software, SAM 3D offers intriguing possibilities. But is it a fantastic option, or just another step on the road to accessible 3D modeling? Let’s unpack its potential and see where it truly stands in the world of open source innovation.

    Understanding SAM 3D Model Making App

    TL;DR Key Takeaways :

    • Meta’s SAM 3D is an open source AI model designed to simplify 3D object reconstruction and pose extraction, making 3D model generation more accessible to developers, researchers, and creators.
    • The model is fast and precise, generating 3D meshes and pose data within 10-15 seconds on high-end GPUs, but its reliance on splats rendering technology limits texture quality.
    • SAM 3D is freely available for download and use, with local installation requiring a Linux-based system and significant hardware resources (32GB VRAM recommended).
    • While SAM 3D excels in shape accuracy and pose extraction, its limited export options and subpar texture quality may hinder its adoption in professional workflows.
    • Applications include animation, video production, game development, and motion capture, with potential for further improvement in texture quality, export formats, and installation accessibility.

    SAM 3D builds upon the foundation of Meta’s SAM initiative, which focuses on simplifying segmentation tasks across diverse domains. This model specializes in generating 3D objects and extracting poses from 2D images, making it a versatile tool for creative and technical applications. As an open source project, SAM 3D is freely available for download and use, either through Meta’s online platform or for local installation. Its primary objective is to provide widespread access to 3D model generation, reducing the dependency on costly software or hardware solutions.

    The model’s accessibility and open source nature make it particularly appealing to independent developers, researchers, and small studios. By lowering the barriers to entry, SAM 3D encourages experimentation and innovation in fields that rely on 3D modeling and animation.

    Key Features and Performance Metrics

    SAM 3D is distinguished by its speed and precision, offering practical advantages for workflows that demand quick results. On high-end GPUs, the model can generate 3D meshes and pose data within 10 to 15 seconds. This efficiency makes it a valuable tool for tasks such as animation, video production, and rapid prototyping.

    Performance benchmarks indicate that SAM 3D competes effectively with other open source models, such as Hunion 2.1. It excels in shape accuracy and pose extraction, delivering reliable results for a variety of applications. However, its reliance on splats rendering technology limits its texture quality, often resulting in blurry textures that require additional refinement. Despite this drawback, the model’s ability to produce accurate shapes and poses positions it as a strong contender in the open source 3D AI landscape.

    3D  Props from Images & Clean Pose Output

    Discover other guides from our vast content that could be of interest on AI 3D modelling.

    Installation Requirements and Compatibility

    Installing SAM 3D locally requires a Linux-based system, as full functionality is not supported on Windows. While Windows users can perform basic mesh generation, they miss out on the model’s complete capabilities. The installation process also demands significant hardware resources, with 32GB of VRAM recommended for optimal performance. Users with as little as 12GB of VRAM can still perform basic tasks, but the experience may be limited.

    To begin using SAM 3D, users must download the model files from HuggingFace, a widely used platform for hosting AI models. Registration is required, but the process is straightforward for those familiar with open source tools. While the installation process may be challenging for users without Linux experience, the model’s potential benefits make it worth the effort for those with the necessary technical expertise.

    Export Options and Current Limitations

    SAM 3D offers a range of export options, but its capabilities vary depending on whether the model is used online or locally. Models generated on Meta’s online platform are only available in splat format, which limits their compatibility with many professional applications. However, running the model locally provides more flexibility, allowing users to export meshes with baked textures. Despite this advantage, the texture quality remains subpar, often necessitating further refinement in external software.

    The reliance on splats rendering technology is a notable limitation, as it impacts the visual quality of the generated models. For professional-grade results, users may need to invest additional time and resources into post-processing. Expanding the model’s export options and improving texture quality could significantly enhance its usability in professional settings.

    Comparative Analysis with Other Models

    When compared to other open source solutions, SAM 3D stands out for its shape accuracy and pose extraction capabilities. It outperforms models like Hunion 2.1 in several benchmarks, making it a competitive option for developers and researchers. However, its limitations in texture quality and export options prevent it from fully rivaling newer paid models, which often deliver superior results in these areas.

    SAM 3D’s strengths lie in its ability to quickly and accurately generate 3D models, making it a valuable tool for specific use cases. However, users seeking high-quality textures or advanced export options may find it less suitable for their needs. Despite these challenges, SAM 3D remains a promising solution for those looking to explore the potential of open source 3D AI.

    Applications and Practical Use Cases

    SAM 3D is particularly well-suited for tasks such as generating 3D props, creating virtual environments, and extracting assets from images. Its ability to quickly produce accurate 3D models makes it an invaluable tool for video production, animation workflows, and game development. Additionally, its pose extraction capabilities open up possibilities for motion capture and animation rigging, streamlining processes that traditionally require more complex tools.

    The model’s accessibility and efficiency make it an attractive option for independent creators and small studios. By reducing the time and resources required for 3D model generation, SAM 3D enables users to focus on creative and technical aspects of their projects.

    Challenges and Opportunities for Improvement

    While SAM 3D offers significant advantages, it is not without its challenges. The installation process can be complex, particularly for users unfamiliar with Linux systems. Its high hardware requirements may also pose a barrier for those without access to advanced GPUs. Additionally, the reliance on splats rendering technology limits texture quality, and the restricted export options hinder its usability in professional workflows.

    To address these challenges, Meta could focus on the following improvements:

    • Enhancing texture quality to reduce the need for post-processing and improve visual fidelity.
    • Expanding export options to include more widely used formats, increasing compatibility with professional software.
    • Simplifying the installation process to make the model more accessible to non-Linux users.

    By addressing these areas, SAM 3D could become a more versatile and user-friendly tool, further advancing its potential in the open source 3D AI space.

    Future Potential of SAM 3D

    SAM 3D represents a significant step forward in the development of open source 3D AI tools. Its ability to quickly and accurately generate 3D models and extract poses makes it a valuable resource for developers, researchers, and creators. While its limitations in texture quality and export formats may deter some users, the model’s strengths in shape accuracy and pose extraction position it as a promising solution for specific use cases.

    For those with the necessary hardware and technical expertise, SAM 3D offers an opportunity to streamline 3D workflows and explore new possibilities in animation, video production, and beyond. As Meta continues to refine and expand the capabilities of SAM 3D, it has the potential to inspire further innovation and drive progress in the field of 3D AI.

    Media Credit: Stefan 3D AI Lab

    Filed Under: AI, Technology News, Top News

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  • Inside 2025’s Most Interesting Humanoid Robots, Built for Work, Home & City Life

    Inside 2025’s Most Interesting Humanoid Robots, Built for Work, Home & City Life

    Inside 2025’s Most Interesting Humanoid Robots, Built for Work, Home & City Life

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    Compact Z1 model darts around a living room, showing quick balance, expressive gestures, and safe interaction.

    Imagine a world where your morning coffee is brewed by a robot that remembers your exact preferences, your home is cleaned by a machine with human-like dexterity, and factories are staffed by tireless humanoids capable of performing intricate tasks with precision. This isn’t science fiction, it’s the reality being shaped by the latest breakthroughs in humanoid robotics. From robots that can jog and navigate complex environments to those that fold laundry or assist in disaster response, these innovations are redefining what machines can do. With advancements in artificial intelligence, tactile sensitivity, and mobility, we’re witnessing a profound shift in how robots integrate into our lives, blurring the line between human and machine. The question is no longer if robots will transform society, but how far they’ll go in reshaping it.

    In this exploration of the cutting edge of humanoid robotics, AI Grid explains the technologies driving this revolution and the companies leading the charge. Learn about robots that combine human-like motion with advanced problem-solving capabilities, and uncover how they’re being tailored for everything from household chores to industrial automation. Whether it’s a robot that can autonomously navigate city streets or one designed to handle delicate assembly tasks, these innovations are not just about convenience, they’re about creating a future where humans and machines collaborate seamlessly. As we delve into these breakthroughs, consider this: what role will these humanoids play in your world?

    Humanoid Robotics Innovations

    TL;DR Key Takeaways :

    • Humanoid robotics is advancing rapidly, transforming industries, homes, and public services with innovations in dexterity, navigation, and adaptability.
    • Domestic robots like Sunday Robotics’ MIMA, Tangible’s Eggy, and Sourcey are transforming household tasks with user-friendly and customizable designs.
    • Industrial and public service robots, such as Agile Robots’ Agile One and Shenzhen’s sanitation robots, are enhancing efficiency, precision, and safety in challenging environments.
    • Advanced humanoid designs, including Tesla Optimus Gen 3 and MindOn Robotics’ Unitree G1, are achieving human-like motion and adaptability for diverse applications.
    • Emerging innovators like Xpeng Robotics and Lim X OOLI are driving the future of robotics with new designs for human interaction, mobility, and specialized tasks.

    Domestic Robots: Enhancing Everyday Life

    Domestic robots are transforming household management by offering convenience, efficiency, and adaptability. Companies like Sunday Robotics, Tangible, and Sourcey are leading this transformation with innovative designs that cater to diverse needs.

    • Sunday Robotics (MIMA): This wheeled home robot is designed to handle tasks such as cleaning, dishwashing, and laundry. Its skill-capture training system allows users to teach it tasks without requiring complex programming, making it highly user-friendly.
    • Tangible (Eggy): Featuring five-fingered hands, this robot excels in cluttered environments, offering tactile dexterity for organizing and cleaning, even in challenging spaces.
    • Sourcey: An open source platform that combines household utility with educational potential, Sourcey makes robotics more accessible and customizable for a wide range of users.

    These robots are simplifying daily life, bringing advanced automation into homes worldwide and making once-laborious tasks more manageable.

    Industrial and Public Service Robots: Driving Efficiency

    In industrial and public service sectors, humanoid robots are addressing challenges related to efficiency, precision, and scalability. Companies like Agile Robots and Shenzhen’s sanitation innovators are at the forefront of these advancements, introducing solutions that enhance productivity and safety.

    • Agile Robots (Agile One): This bipedal humanoid is designed for factory and warehouse tasks, integrating dexterous robotic hands and advanced sensors to manage complex operations with precision.
    • Shenzhen Sanitation Robot Competition: The competition showcased autonomous cleaning robots capable of fleet-level autonomy and real-world navigation, highlighting their potential for urban sanitation and maintenance.

    These innovations are transforming industries by improving productivity, reducing human involvement in repetitive or hazardous tasks, and making sure greater operational efficiency.

    Latest Humanoid Robotics Breakthroughs

    Find more information on Humanoid Robotics by browsing our extensive range of articles, guides and tutorials.

    Advanced Humanoid Designs: Bridging the Gap to Human-Like Motion

    Humanoid robots are achieving unprecedented levels of fluidity and adaptability, bringing them closer to mimicking human movement. Companies like Tesla, MindOn Robotics, and Humanoid are spearheading these advancements with new designs.

    • MindOn Robotics: The Unitree G1 robot uses imitation learning to perform complex household tasks with fluid, human-like motion, setting a new standard for robotic adaptability.
    • Humanoid (HMND01 Alpha): This UK-based robot offers stable bipedal locomotion within 48 hours of assembly, making it a versatile solution for applications in healthcare and hospitality.
    • Tesla Optimus Gen 3 and Figure 3: These robots demonstrate advanced jogging and movement capabilities, focusing on replicating human motion for diverse applications, from logistics to personal assistance.

    These advancements are narrowing the gap between robotic and human movement, allowing robots to operate seamlessly in environments designed for humans.

    Specialized Platforms: Precision for Complex Tasks

    Specialized robots are addressing niche applications with remarkable precision and adaptability, offering tailored solutions for specific challenges. Companies like Kyber Labs and PI AI are leading the way in this domain.

    • Kyber Labs: Their AI-native robotic hands, powered by artificial muscle actuators, are designed for delicate and high-impact tasks in manufacturing and assembly, making sure both precision and durability.
    • PI AI: These robots excel in precision tasks such as coffee preparation and laundry folding, using experience-based learning to refine their performance over time.

    These platforms highlight how robotics can be customized to solve complex problems across industries, from manufacturing to personal services.

    Dynamic and Agile Robots: Expanding Mobility

    Mobility and agility are becoming essential features for robots operating in diverse environments. Innovations like Magic Lab Z1 and Engine AI T800 exemplify this trend, showcasing the importance of adaptability in robotic design.

    • Magic Lab Z1: This compact humanoid is optimized for dynamic movement and expressive interaction, making it ideal for human-centric spaces such as retail and education.
    • Engine AI (T800): Designed for high agility and endurance, this robot is suited for applications in logistics, security, and even potential combat scenarios, demonstrating its versatility in demanding environments.

    These robots emphasize the growing importance of mobility and adaptability in expanding the scope of robotic applications across various sectors.

    Emerging Innovators: Shaping the Future of Robotics

    New players and innovations are driving the robotics industry forward, fostering competition and pushing boundaries. Companies like Xpeng Robotics, Physical Robotics, and Lim X OOLI are making significant contributions to the field.

    • Xpeng Robotics: Their humanoid robot features a flexible spine and synthetic skin, allowing human-like interaction in factories and public spaces, bridging the gap between humans and machines.
    • Physical Robotics (Norway): This startup focuses on creating robots that integrate seamlessly into human life, enhancing overall quality of living through thoughtful design and functionality.
    • Lim X OOLI: A modular humanoid capable of navigating rough terrain and handling heavy payloads, showcasing its versatility in challenging environments such as construction and disaster response.

    These emerging innovators are setting the stage for the next generation of robotics, driving progress and expanding the possibilities of what robots can achieve.

    Future Trends: What Lies Ahead

    The future of humanoid robotics is poised to evolve rapidly, with several key trends shaping its trajectory:

    • Enhanced dexterity and tactile intelligence, allowing robots to navigate unstructured and unpredictable environments with greater ease.
    • Broader adoption across home, industrial, and public service sectors, expanding the range of applications and accessibility.
    • Increased competition among startups and established companies, accelerating the pace of innovation and driving down costs.

    These trends indicate a dynamic and rapidly evolving field, with robots set to play an increasingly integral role in everyday life, transforming how humans interact with technology.

    Media Credit: TheAIGRID

    Filed Under: AI, Technology News, Top News

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  • Gemini 3 Pro Guide : Design Clean, Consistent UI in Four Simple Steps

    Gemini 3 Pro Guide : Design Clean, Consistent UI in Four Simple Steps

    Gemini 3 Pro Guide : Design Clean, Consistent UI in Four Simple Steps

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    Feature list refined from the PRD guides UX choices, removing noise and focusing on what matters.

    What separates a good app from a great one? It’s not just functionality, it’s the way users feel when they interact with it. A clunky, inconsistent interface can frustrate users, no matter how powerful the app is. On the flip side, a thoughtfully designed UI can transform even the simplest tools into something delightful and intuitive. Enter the Gemini 3 Pro system, a four-step framework designed to help you craft beautiful, user-friendly interfaces that don’t just look good but also work seamlessly. Whether you’re a seasoned designer or just starting out, this system offers a structured approach to elevate your design process and create apps that truly stand out.

    In this guide Sean Kochel takes you through how Google’s Gemini 3 Pro AI simplifies the complexities of UI design into four actionable steps. From building a solid foundation with a clear Product Requirements Document (PRD) to crafting a reusable design system, each phase is tailored to help you focus on what matters most: delivering a cohesive and intuitive user experience. You’ll also discover practical tips, like using tools such as Tailwind CSS and integrating error, empty, and loading states, to ensure your designs are both functional and visually appealing. By the end, you’ll have a clear roadmap to create interfaces that balance aesthetics with usability, leaving a lasting impression on your users. Because in the crowded world of apps, a polished UI isn’t just a nice-to-have, it’s your competitive edge.

    Gemini 3 Pro UI Guide

    TL;DR Key Takeaways :

    • The Gemini 3 Pro system provides a structured, four-step framework for designing cohesive and user-friendly app interfaces, emphasizing the importance of integrating UI and UX early in development.
    • Step 1 focuses on laying a strong foundation by setting up a React application and creating a comprehensive Product Requirements Document (PRD) to align design with functionality.
    • Step 2 prioritizes refining core features and establishing UX guidelines, making sure intuitive navigation, accessibility, and responsiveness for a seamless user experience.
    • Step 3 involves building a design system with reusable UI elements, including defined color palettes, typography, and button styles, to maintain consistency and streamline the design process.
    • Step 4 emphasizes designing screens and states (e.g., error, empty, and loading states) while testing across devices to ensure a polished and adaptable app experience.

    1: Laying the Foundation

    The first step in the Gemini 3 Pro system emphasizes building a strong foundation for your app. Start by setting up a basic React application, a widely used framework known for its component-based architecture and flexibility. You can quickly scaffold your project using the command: `npx create-react-app`. This step establishes the technical groundwork for your app’s development.

    Once the technical setup is complete, create a comprehensive Product Requirements Document (PRD). This document serves as a blueprint, outlining your app’s concept, goals, and core features. A well-crafted PRD links design and UX considerations to your app’s functionalities, making sure a user-centric approach. For instance, if your app includes a search function, consider how the UI will guide users to perform searches efficiently and intuitively. By addressing these foundational elements, you create a clear roadmap for the design process.

    2: Refining Features and Prioritizing UX

    With the PRD in place, the next step involves refining your app’s features and focusing on user experience. Begin by identifying the most impactful elements, such as core functionalities and primary user interactions. Avoid getting bogged down by non-essential details like backend-specific requirements or validation plans at this stage. This ensures your attention remains on aspects that directly influence the user experience.

    Establishing general UX guidelines is critical to maintaining consistency throughout your app. These guidelines should address key principles such as intuitive navigation, accessibility, and responsiveness. For example, ensure that buttons are easy to identify and interact with, regardless of the device or screen size. By focusing on these principles, you create a seamless and user-friendly experience that resonates with your audience.

    A Gemini 3 Pro System For Beautiful UI Designs

    Master Google’s Gemini 3 AI with the help of our in-depth articles and helpful guides.

    3: Building a Design System

    A design system is a cornerstone of the Gemini 3.0 Pro process, providing a framework for creating consistent and reusable UI elements. Begin by gathering design inspiration from platforms like Mobbin, which offers a library of real-world design examples. This step helps you visualize how your app’s design can align with industry standards while maintaining its unique identity.

    Develop a detailed style guide that defines the visual and interactive elements of your app. This guide should include specifications for:

    • Color palettes: Define primary colors for call-to-action buttons and secondary colors for informational elements.
    • Typography: Specify font families, sizes, and weights to ensure readability and consistency.
    • Button styles: Include spacing guidelines and hover effects to enhance interactivity.

    A well-structured design system not only streamlines the design process but also ensures consistency across all screens and components. By aligning your design system with the app’s features and UX principles, you create a cohesive and polished experience that enhances usability.

    4: Designing Screens and States

    With your design system in place, the next step is to create UI designs for each feature, screen, and state of your app. This includes not only the primary screens but also edge cases such as:

    • Error states: Provide clear and actionable feedback when users encounter problems.
    • Empty states: Design placeholders for scenarios where no data is available.
    • Loading states: Indicate progress to keep users informed without causing frustration.

    Designing for all possible scenarios ensures your app delivers a seamless experience, regardless of the conditions users encounter.

    To style your components efficiently, consider using tools like Tailwind CSS, a utility-first CSS framework that simplifies the styling process. Test your designs on various devices using emulators or simulators to ensure they adapt well to different screen sizes and resolutions. By working systematically and focusing on one feature or screen at a time, you can avoid overwhelming the design process and maintain a high level of quality.

    Key Takeaways

    The Gemini 3 Pro system underscores the importance of designing for all possible states of an app. For example:

    • An error state should provide users with clear instructions on how to resolve the issue.
    • A loading state should visually communicate progress without causing unnecessary delays or confusion.

    Incorporating a token-based design system can further enhance efficiency by allowing the reuse of design elements across your app. This approach not only saves time but also ensures consistency and scalability as your app evolves.

    By treating UX and UI as integral components of app development, the Gemini 3 Pro system helps you create interfaces that elevate the overall user experience. This structured method ensures that design is not an afterthought but a core element of your app’s success, ultimately improving its chances of standing out in a competitive market.

    Media Credit: Sean Kochel

    Filed Under: AI, Guides

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  • n8n 2.0 Release : Brings Cleaner Design, Publish Rules, Data Returns, and Quicker Saves

    n8n 2.0 Release : Brings Cleaner Design, Publish Rules, Data Returns, and Quicker Saves

    n8n 2.0 Release : Brings Cleaner Design, Publish Rules, Data Returns, and Quicker Saves

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    Migration report screen marking workflows with issues, helping users plan fixes before moving to version 2.

    What if building complex workflows felt as natural as sketching ideas on a whiteboard? With the release of n8n 2, that vision is closer than ever. This major update doesn’t just tweak a few features, it reimagines how users interact with automation. From a cleaner, more intuitive interface to powerful tools that simplify intricate processes, n8n 2.0 promises to redefine the way individuals and enterprises approach workflow management. Whether you’re a seasoned automation pro or just starting out, this release is packed with innovations designed to make your life easier, your workflows smarter, and your systems more scalable.

    In this breakdown, Nate Herk explains the key updates that make n8n 2.0 a fantastic option for workflow automation. You’ll discover how the redesigned interface reduces complexity, why the new subworkflow publishing system offers greater control, and how performance upgrades ensure reliability even under heavy demands. But that’s just the beginning, there’s more to uncover, from productivity-boosting tools to seamless migration support. As you read on, you might find yourself rethinking what’s possible with automation. After all, when the tools evolve, so do the opportunities.

    n8n 2.0 Highlights

    TL;DR Key Takeaways :

    • Redesigned Interface:n8n 2.0 introduces a modernized layout with embedded nodes, visual indicators, and enhanced connection visuals, making workflow management more intuitive and user-friendly.
    • Improved Workflow Publishing: The new “publish/unpublish” system for subworkflows enhances clarity and control, while allowing advanced use cases like human-in-the-loop processes.
    • Performance and Scalability Enhancements: Optimized backend performance ensures faster save functionality, improved scalability, and reliability for both small-scale and enterprise users.
    • Productivity-Boosting Tools: Features like the focus panel and quick navigation streamline workflow creation, reducing complexity and saving time for users managing intricate workflows.
    • Seamless Migration Support: A dedicated migration tool and comprehensive documentation simplify the transition to n8n 2.0, making sure compatibility and minimizing downtime for existing workflows.

    Enhanced Interface for Improved Usability

    The interface in n8n 2 has undergone a complete redesign to make workflow management more intuitive and visually engaging. The updated design focuses on reducing complexity while providing advanced tools to streamline navigation and workflow creation. Key improvements include:

    • A modernized layout with embedded nodes, offering a cleaner and more organized workflow view.
    • Visual indicators, such as red and green outlines, to clearly display the processing status of nodes.
    • An upgraded sidebar with expandable panels, allowing quicker access to tools and configurations.
    • Enhanced connection visuals, including hover effects and pulsing outlines, for easier mapping of workflows.

    These updates aim to minimize cognitive load, allowing you to focus on building efficient workflows without unnecessary distractions. By prioritizing simplicity and clarity, the redesigned interface ensures a smoother user experience, even for those managing complex automation systems.

    Improved Workflow Publishing and Subworkflow Management

    n8n 2 introduces a more structured approach to managing subworkflows, replacing the previous “active” and “inactive” terminology with “publish” and “unpublish.” This change provides greater clarity and control over workflow states. Subworkflows must now be published before they can be integrated into other workflows, making sure a more organized and reliable framework for automation.

    Additionally, subworkflows can now return data to the main workflow, allowing advanced use cases such as human-in-the-loop processes. For instance, you can create subworkflows that require human approval and seamlessly integrate them into larger automation systems. These enhancements not only expand functionality but also simplify the management of intricate workflows, making it easier to implement sophisticated automation strategies.

    n8n 2 Migration Guide: Publish Subworkflows & Fix Issues

    Unlock more potential in n8n by reading previous articles we have written.

    Performance and Scalability Upgrades

    Performance and scalability are at the core of the improvements in n8n 2.0. The platform has been optimized to handle larger workflows and increased user demand, making sure consistent reliability even in resource-intensive scenarios. Key backend enhancements include:

    • Faster save functionality, reducing delays during workflow editing and improving overall efficiency.
    • A planned autosave feature, set for release in January 2026, to safeguard against data loss during workflow creation.
    • Enhanced backend scalability to accommodate growing user bases and increasingly complex workflows.

    These updates ensure that n8n remains a dependable solution for both small-scale users and enterprise-level automation needs. By addressing performance bottlenecks and improving scalability, the platform is better equipped to support a wide range of automation requirements.

    New Tools to Boost Productivity

    To further streamline workflow creation, n8n 2.0 introduces several productivity-focused tools. The new focus panel allows you to edit node parameters without losing sight of the workflow canvas, making it easier to manage intricate workflows. This feature is particularly useful for users working on large workflows with multiple interconnected nodes, as it simplifies navigation and reduces the time spent switching between views.

    Additionally, quick navigation features have been added to enable seamless movement between nodes and configurations. These tools are designed to save time and reduce frustration, allowing you to focus on optimizing your workflows rather than getting bogged down by technical details.

    Migration Support and Compatibility Tools

    Transitioning to n8n 2.0 is made easier with a dedicated migration tool that generates detailed reports on workflow compatibility. This tool helps you identify and address potential issues before they disrupt your automation processes. Comprehensive documentation is also available to guide you through the migration process, making sure a smooth and efficient transition.

    For users with extensive workflows built in version 1.0, these resources minimize downtime and provide the support needed to maintain continuity during the upgrade. By prioritizing compatibility and user support, n8n ensures that the transition to version 2.0 is as seamless as possible.

    Release Timeline and Future Developments

    The beta version of n8n 2.0 was released on December 8, 2023, with the stable version following on December 15, 2023. Looking ahead, the autosave feature is scheduled for release in January 2026, further enhancing the platform’s usability and reliability. These updates reflect n8n’s commitment to continuous improvement, making sure that the platform evolves to meet the changing needs of its users.

    By focusing on both immediate enhancements and long-term development, n8n 2.0 positions itself as a leading choice for workflow automation. The combination of a redesigned interface, improved performance, and new tools ensures that the platform remains relevant and effective in an increasingly automated world.

    Media Credit: Nate Herk | AI Automation

    Filed Under: AI, Technology News, Top News

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  • From Prompt to Publish, Google Firebase Studio Creates Full Stack Apps & Hosts Them

    From Prompt to Publish, Google Firebase Studio Creates Full Stack Apps & Hosts Them

    From Prompt to Publish, Google Firebase Studio Creates Full Stack Apps & Hosts Them

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    Dashboard view shows template options, Gemini 3 prompt field, and a live preview of a starter project.

    What if building a fully functional app was as simple as sketching out your idea and letting technology handle the rest? With the launch of Google’s Firebase Studio, that vision is now a reality. This new platform is poised to redefine how developers, whether seasoned professionals or complete beginners, approach app creation. By using innovative AI through the Gemini API, Firebase Studio automates the most time-consuming aspects of development, allowing users to craft full-stack applications in mere minutes. Imagine skipping the tedious coding marathons and diving straight into innovation, this is the promise Firebase Studio delivers.

    In this guide Code A Program explains how Firebase Studio combines AI-powered automation, pre-built templates, and professional-grade tools to create an unparalleled app development experience. You’ll discover how it supports popular frameworks like React, Flutter, and Flask, while offering seamless integration with services like Firebase Authentication and Google Cloud tools. Whether you’re looking to build your first app or streamline workflows for a team project, Firebase Studio offers something for everyone. Could this be the moment that provide widespread access tos app development for all? Let’s unpack the possibilities.

    Firebase Studio Simplifies App Development

    TL;DR Key Takeaways :

    • Firebase Studio uses AI-powered automation through the Gemini API to simplify full-stack app development, allowing rapid creation of backends, frontends, and mobile apps.
    • The platform offers pre-built templates for popular frameworks like Next.js, React, Angular, Flutter, and Flask, allowing developers to kickstart projects with customizable blueprints.
    • Advanced tools such as a Visual Studio Code-inspired editor, real-time collaboration, and built-in simulators enhance productivity and streamline workflows for teams and individuals.
    • Seamless integration with Firebase Authentication, Google Cloud tools, and database options like MongoDB and PostgreSQL ensures robust functionality and easy customization.
    • Firebase Studio is free to use, accessible to all skill levels, and supports no-code features for beginners while offering professional-grade tools for experienced developers.

    AI-Driven App Creation for Streamlined Development

    At the heart of Firebase Studio lies its AI-powered app generation capabilities. Using the Gemini API and the state-of-the-art Gemini 3 model, the platform automates the creation of complete applications. This includes generating backend services, frontend interfaces, and mobile app components, significantly reducing the need for repetitive coding tasks and complex environment configurations. Firebase Studio offers a variety of pre-built templates tailored to popular frameworks, such as:

    • Next.js, React, and Angular for web development
    • Flutter and React Native for mobile applications
    • Flask and Express for backend services

    These templates serve as foundational blueprints, allowing you to kickstart your projects while maintaining the flexibility to customize them according to your specific needs. Additionally, intelligent features like tag suggestions and note summaries enhance your workflow, making sure a more organized and productive development process.

    Advanced Development Tools for Professionals

    Firebase Studio is equipped with a comprehensive suite of professional-grade tools designed to elevate your development experience. Its integrated code editor, inspired by the functionality of Visual Studio Code, allows for precise code generation and seamless editing. This ensures you retain full control over your projects, whether you are fine-tuning minor details or implementing complex functionalities. Key features of Firebase Studio include:

    • Real-time collaboration, allowing multiple developers to work on the same codebase simultaneously
    • Built-in web and mobile simulators for live previews of your applications
    • Early issue detection to identify and resolve potential problems during development

    These tools not only enhance efficiency but also foster collaboration, making Firebase Studio an ideal choice for team-based projects. The platform’s ability to streamline workflows ensures that developers can focus on innovation rather than troubleshooting.

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    Comprehensive Templates and Framework Support

    Firebase Studio further simplifies the development process by offering an extensive library of pre-built templates. These templates cater to a wide range of use cases, from web applications to mobile apps and backend services. Supported frameworks include:

    • Next.js, Angular, and React for web development
    • Flutter and React Native for mobile applications
    • Flask, Express, and Prisma for backend development

    For database integration, Firebase Studio supports widely-used options such as MongoDB, PostgreSQL, MySQL, and Firebase itself. These pre-configured database starters allow you to focus on building your application’s functionality rather than spending time on complex setup processes. This comprehensive framework and database support make Firebase Studio a versatile tool for developers across various domains.

    Seamless Integration and Customization

    Firebase Studio excels in integrating with essential services and tools, allowing you to add advanced functionalities to your applications effortlessly. Key integrations include:

    • Firebase Authentication for secure user management
    • Database management and hosting services for streamlined data handling
    • Google Cloud tools such as Google Maps and Secret Manager for enhanced functionality

    The platform’s customization capabilities are another standout feature. Developers can modify app blueprints to align with specific requirements, from adjusting design elements to incorporating unique features. This flexibility ensures that your applications are not only functional but also tailored to your vision and goals.

    Effortless Deployment and Team Collaboration

    Firebase Studio simplifies the deployment process with its built-in GitHub integration. This feature allows you to manage your code, track changes, and deploy updates directly from the platform. Automatic environment setup and error correction further streamline deployment, minimizing the risk of bugs and configuration issues.

    For teams, Firebase Studio offers robust real-time collaboration tools. These tools enable seamless teamwork, regardless of geographical location, making sure that all team members remain aligned throughout the development cycle. This is particularly advantageous for distributed teams, as it fosters efficient communication and coordination.

    Accessible and User-Friendly for All Skill Levels

    Firebase Studio’s intuitive interface ensures accessibility for developers of all experience levels. For beginners, the platform’s no-code development features allow the creation of functional applications without requiring extensive coding knowledge. For experienced developers, the professional-grade editor provides the flexibility and control needed for advanced customization and optimization.

    Moreover, Firebase Studio is free to use, eliminating financial barriers and making it an attractive option for hobbyists, startups, and professionals alike. Its affordability, combined with its extensive features, positions Firebase Studio as a valuable resource for anyone looking to develop high-quality applications efficiently.

    Media Credit: Code A Program

    Filed Under: AI, Technology News, Top News

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  • New NotebookLM Features Guide : Deep Research, Faster Sources, Better Slides & Smarter Tools

    New NotebookLM Features Guide : Deep Research, Faster Sources, Better Slides & Smarter Tools

    New NotebookLM Features Guide : Deep Research, Faster Sources, Better Slides & Smarter Tools

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    NotebookLM creating an infographic and a slide deck from notes, with style and detail controls visible.

    What if your research process could be faster, your presentations more engaging, and your workflow seamlessly tailored to your needs, all without sacrificing accuracy or creativity? With its latest updates, Google’s NotebookLM is making bold strides to redefine how we approach tasks like content creation, research, and information organization. Whether you’re a student juggling deadlines, an educator crafting lesson plans, or a professional aiming to streamline your workflow, these enhancements promise to transform the way you work. From automated research tools that eliminate tedious manual searches to dynamic content creation features that bring your ideas to life, NotebookLM is positioning itself as a must-have tool for anyone looking to work smarter, not harder.

    In this detailed guide, Futurepedia explain the most significant updates to NotebookLM, exploring how its deep research integration, customizable content tools, and enhanced usability features can elevate your productivity. You’ll discover how these innovations, like source validation tools to ensure credibility or new visual aids like infographics and mind maps, can help you tackle complex tasks with confidence and precision. But that’s not all: the platform’s adaptability, from multilingual support to personalized notebook configurations, ensures it fits seamlessly into your unique workflow. Whether you’re curious about the practical applications or eager to uncover hidden gems within these updates, this breakdown will leave you rethinking what’s possible with NotebookLM. After all, isn’t it time your tools worked as hard as you do?

    Google NotebookLM Updates

    TL;DR Key Takeaways :

    • NotebookLM introduces advanced research tools, including deep research integration, fast source identification, and source validation, to streamline and enhance research accuracy.
    • Upgraded content creation features like customizable infographics, flexible slide decks, and diverse studio panel tools enable dynamic and audience-specific presentations.
    • Enhanced customization options, such as notebook configuration, chat auto-save, and adjustable response lengths, improve usability and adaptability for various workflows.
    • Practical applications include creating visual resumes, educational aids, brainstorming tools, and teaching materials, showcasing NotebookLM’s versatility across professional and educational settings.
    • New features like video overview tools and multilingual support expand functionality, while strategies like targeted prompts and content customization maximize the platform’s potential.

    Key Enhancements in Research Capabilities

    NotebookLM now offers advanced tools to elevate your research process, saving time while enhancing accuracy and depth. These updates focus on simplifying complex tasks and making sure reliable outcomes:

    • Deep Research Integration: This feature autonomously analyzes and adapts research strategies, delivering comprehensive reports and reliable sources. By minimizing manual effort, it ensures well-rounded insights and reduces the risk of oversight.
    • Fast Research Option: Designed for quick tasks, this tool identifies and imports relevant sources in seconds, allowing you to focus on analysis rather than time-consuming searches.
    • Source Validation Tools: These tools enhance credibility by identifying outdated or unreliable references. For example, you can bulk-remove invalid sources, making sure your research remains accurate and up-to-date.

    These features collectively make it easier to gather, analyze, and validate information, making sure your research is both efficient and trustworthy.

    Upgraded Content Creation Tools

    NotebookLM has expanded its content creation capabilities, offering more dynamic and visually engaging options to meet diverse needs. These updates empower users to create polished and audience-specific materials with ease:

    • Infographics: Create customizable visual representations of data. Adjust orientation, detail levels, and styles to suit your audience, whether you’re presenting in a classroom, corporate meeting, or public forum.
    • Slide Decks: Choose between detailed decks for in-depth presentations or concise presenter slides for high-level overviews. This flexibility allows you to tailor your content to different contexts and objectives.
    • Studio Panel Tools: Access new content types such as audio overviews, mind maps, reports, flashcards, and quizzes. These tools cater to various learning and communication styles, making information sharing more versatile and engaging.

    These enhancements enable you to present information in a visually appealing and contextually relevant manner, making sure your message resonates with your audience.

    NotebookLM’s Biggest Updates Yet : Every New Feature Explained

    Advance your skills in Google NotebookLM by reading more of our detailed content.

    Improved Customization and Usability

    To enhance user experience, NotebookLM introduces several customization and usability improvements. These updates are designed to make the platform more intuitive and adaptable to individual needs:

    • Notebook Configuration: Customize your notebooks to align with specific goals, such as research, learning, or conversational styles. This ensures your workspace is tailored to your objectives and workflow.
    • Chat Auto-Save: Automatically save conversations to prevent data loss. This feature is particularly useful for ongoing projects or collaborative discussions, making sure continuity and reliability.
    • Response Length Options: Adjust the length of generated responses to suit different purposes, from detailed explanations to concise summaries. This flexibility allows you to adapt content to varying levels of complexity.

    These features enhance the platform’s usability, making it a versatile tool for a wide range of tasks and preferences.

    Practical Applications

    NotebookLM’s versatility makes it suitable for a broad spectrum of use cases, spanning both professional and educational environments. Here are some practical applications:

    • Visual Resumes: Design engaging resumes that effectively highlight your skills, achievements, and professional journey.
    • Educational Aids: Generate flashcards, quizzes, or mind maps to simplify complex topics for students, making learning more interactive and accessible.
    • Brainstorming Sessions: Create alternative mind maps to organize ideas, foster creativity, and streamline decision-making processes.
    • Teaching Tools: Develop visual aids and presentations tailored to your audience, enhancing the delivery of educational content.

    These applications demonstrate how NotebookLM can adapt to various scenarios, providing tools that enhance productivity and creativity.

    Addressing Limitations

    While NotebookLM offers robust features, it is not without minor limitations. Being aware of these can help you optimize your experience and maintain high-quality outcomes:

    • Occasional Errors: Spelling mistakes or inaccuracies may occur, particularly in dense or highly technical topics. These are typically easy to identify and correct manually.
    • Content Options for Accuracy: For higher precision, consider using the standard or concise content generation settings, especially when working on detailed or specialized subjects.

    By understanding these limitations, you can take proactive steps to ensure your work remains accurate and professional.

    Additional Features to Explore

    The latest updates also introduce new tools and functionalities, further enhancing NotebookLM’s capabilities:

    • Video Overview Tools: Create professional-grade explainer videos with improved narration and customizable visual styles. This feature is ideal for presentations, tutorials, and marketing materials.
    • Multilingual Support: Access the platform in multiple languages, broadening its usability for a global audience and fostering inclusivity.

    These features expand the platform’s functionality, making it a comprehensive tool for diverse tasks and audiences.

    Maximizing NotebookLM’s Potential

    To fully use NotebookLM’s capabilities, consider these strategies:

    • Use targeted prompts to identify gaps, contradictions, or alternative perspectives in your sources. This approach can uncover new insights and strengthen your arguments.
    • Customize content generation settings for greater accuracy and relevance, particularly when dealing with complex or technical topics.

    By applying these strategies, you can unlock the platform’s full potential, making sure your work is both efficient and impactful.

    Media Credit: Futurepedia

    Filed Under: AI, Guides

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  • Step-by-Step ChatGPT Skills : Structure Prompts, Set Roles, Refine Tone, Save Time in 2026

    Step-by-Step ChatGPT Skills : Structure Prompts, Set Roles, Refine Tone, Save Time in 2026

    Step-by-Step ChatGPT Skills : Structure Prompts, Set Roles, Refine Tone, Save Time in 2026

    By

    Example of assigning roles like project manager or HR to guide ChatGPT toward more professional, targeted answers.

    What if you could transform ChatGPT from a simple chatbot into your most powerful productivity ally? As of 2025, this AI tool has evolved far beyond casual conversations, becoming a cornerstone for professionals and creatives alike. Yet, despite its growing capabilities, many users barely scratch the surface of what it can do. Imagine being able to draft polished reports in minutes, generate tailored insights on demand, or even automate repetitive tasks, all with just a few well-crafted prompts. The truth is, mastering ChatGPT isn’t about knowing how to use it, it’s about knowing how to use it well. And that’s where this learning tool comes in, guiding you step-by-step from beginner to ChatGPT pro.

    In this guide, Simon Sez IT takes you through the strategies and techniques that separate casual users of ChatGPT from true experts. You’ll uncover the art of prompt structuring, learn to wield role-based instructions for precision, and discover how to customize tone and style to suit any audience. But that’s just the beginning. Whether you’re a business professional looking to streamline workflows or a creative seeking new ways to enhance your craft, this resource will show you how to unlock ChatGPT’s full potential. By the end, you’ll not only understand the how but also the why behind advanced ChatGPT techniques, empowering you to use this tool with confidence and creativity. What could you achieve if you truly mastered the art of AI-driven communication? Let’s explore the possibilities.

    Becoming a ChatGPT Expert

    TL;DR Key Takeaways :

    • Mastering prompt structuring is key to achieving accurate and relevant outputs by defining tasks explicitly, providing context, and specifying tone, style, and format.
    • Role-based prompting enhances precision by assigning specific roles (e.g., “data analyst”) and combining them with audience-focused instructions for domain-specific insights.
    • Customizing tone and style ensures outputs align with different audiences and communication goals, such as formal reports or casual emails.
    • Iterative refinement allows for improved outputs by providing feedback, asking follow-up questions, and refining responses until they meet expectations.
    • ChatGPT streamlines business and finance tasks, including drafting briefs, summarizing notes, creating templates, analyzing budgets, and generating forecasts, while emphasizing data security.

    Mastering the Art of Prompt Structuring

    The foundation of effective ChatGPT usage lies in crafting clear and precise prompts. A well-structured prompt ensures that the AI understands your requirements, resulting in accurate and relevant outputs. To achieve this, focus on defining the task explicitly and providing the necessary context. For instance, if you’re drafting a project proposal, include details such as the purpose, target audience, and preferred format. Additionally, specifying instructions on tone, style, or length can further refine the response.

    • Define the task explicitly to eliminate ambiguity and guide the AI effectively.
    • Provide context, such as the audience, purpose, or desired outcome, to ensure relevance.
    • Specify tone, style, and format to tailor the response to your specific needs.

    By mastering prompt structuring, you can significantly improve the quality and precision of ChatGPT’s outputs, making it a more reliable tool for your tasks.

    Using Role-Based Prompting for Precision

    Role-based prompting is a powerful technique that enhances the specificity and relevance of ChatGPT’s responses. By assigning roles such as “data analyst,” “HR specialist,” or “project manager,” you provide a framework that guides the AI to deliver domain-specific insights. Combining roles with audience-focused instructions ensures that the output aligns with your objectives and meets professional standards.

    • Assign roles like “financial advisor” or “technical writer” to receive specialized outputs.
    • Combine roles with audience-specific instructions to ensure targeted and relevant results.
    • Use role-based prompts to draft professional documents, such as reports, presentations, or proposals.

    This approach allows you to tap into ChatGPT’s versatility, making it a valuable asset for tasks that require domain expertise and precision.

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    Customizing Tone and Style

    Adapting the tone and style of ChatGPT’s outputs is essential for addressing different audiences effectively. Whether you need a formal report, a casual email, or a persuasive pitch, you can instruct the AI to adjust its tone accordingly. For example, you might request a concise summary for executives or a detailed explanation for team members. This flexibility ensures that the output aligns with the communication style required for each situation.

    • Specify the tone, such as formal, conversational, or persuasive, to suit the intended audience.
    • Request structured outputs, like bullet points or numbered lists, for improved clarity and readability.
    • Adjust the length of responses to match the level of detail required for the task.

    By mastering tone and style customization, you can ensure that ChatGPT’s outputs resonate with your audience and meet your communication goals.

    Refining Outputs Through Iteration

    Interacting with ChatGPT should be viewed as a collaborative process. If the initial response doesn’t meet your expectations, you can refine it by providing additional feedback. For example, if a summary lacks depth, you can ask for more detail or specify key points to include. This iterative refinement process allows you to achieve greater accuracy and relevance over time.

    • Provide feedback to guide the AI in improving and refining its responses.
    • Ask follow-up questions to clarify or expand on the outputs as needed.
    • Iterate until the final result aligns with your expectations and requirements.

    Through iterative refinement, you can unlock the full potential of ChatGPT, making sure that its outputs consistently meet your standards.

    Practical Applications for Business

    ChatGPT offers a wide range of applications for business tasks, making it a valuable tool for saving time and improving efficiency. From drafting project briefs to summarizing meeting notes, its capabilities can streamline workflows and enhance communication. For example, you can use it to create reusable templates for reports or identify potential project risks.

    • Draft project briefs, timelines, and stakeholder updates with ease.
    • Summarize meeting notes and progress reports to keep teams informed.
    • Create templates for reports, agendas, and presentations to standardize workflows.
    • Identify and mitigate project risks through structured analyses and insights.

    By integrating ChatGPT into your business processes, you can enhance productivity and focus on strategic priorities.

    Finance-Specific Use Cases

    In the financial sector, ChatGPT can simplify complex tasks such as budget analysis and forecasting. By categorizing expenses or generating professional invoice reminders, it helps maintain accuracy and professionalism. Additionally, it can explain financial concepts in accessible language, making it easier to communicate with non-experts.

    • Summarize budgets and analyze financial data efficiently to support decision-making.
    • Generate forecasts and categorize expenses with precision for better financial planning.
    • Draft professional invoice reminders with customizable tone and style.
    • Explain financial concepts in clear, straightforward terms to improve understanding.

    By using ChatGPT for finance-specific tasks, you can enhance accuracy and streamline communication within your organization.

    Maximizing Efficiency with ChatGPT

    To unlock the full potential of ChatGPT, focus on using structured prompts and automating repetitive tasks. For example, you can use it to prepare meeting agendas, draft reports, or create templates, saving valuable time. However, it is essential to prioritize data security by avoiding the inclusion of sensitive or confidential information in your prompts.

    • Use structured prompts to save time and reduce the need for revisions.
    • Automate repetitive tasks, such as report generation and meeting preparation, to increase efficiency.
    • Ensure data security by avoiding the inclusion of sensitive or confidential information in prompts.

    By focusing on these strategies, you can maximize the efficiency and effectiveness of ChatGPT in your daily tasks.

    Media Credit: Simon Sez IT

    Filed Under: AI, Guides

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  • Run Massive 235B AI Models Locally on This Monster of a PC System

    Run Massive 235B AI Models Locally on This Monster of a PC System

    Run Massive 235B AI Models Locally on This Monster of a PC System

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    Wide view of a Threadripper 9970X workstation with two RTX 6000 cards installed and tidy cable routing

    What if you could harness the raw power of a machine so advanced, it could process a 235-billion-parameter large language model with ease? Imagine a workstation so robust it consumes 2500 watts of energy, delivering unparalleled performance that obliterates the limits of consumer-grade hardware. This isn’t just a computer, it’s a technological juggernaut, built to dominate the most demanding AI workloads. In this deep dive, we’ll explore the creation of a high-performance AI workstation built by Alex Ziskind that doesn’t just meet expectations, it destroys them. From its innovative Threadripper CPU to dual RTX Pro 6000 GPUs, this build is a masterclass in engineering ambition.

    But what does it take to construct such a beast? Beyond the jaw-dropping specs, there’s an intricate dance of power management, cooling systems, and workspace integration that ensures this machine can handle the heat, literally and figuratively. You’ll uncover the secrets behind its modular airflow design, the challenges of managing a 2500W power supply, and the real-world performance benchmarks that prove its dominance. Whether you’re an AI researcher, a hardware enthusiast, or simply curious about what’s possible when you push technology to its limits, this journey promises to inspire and inform. Because sometimes, the only way forward is to build something that destroys everything in its path.

    Building a 2500W AI Workstation

    TL;DR Key Takeaways :

    • The AI workstation is built with innovative hardware, including a Threadripper 9970X CPU, dual RTX Pro 6000 GPUs, a TRX motherboard, and a 2500W power supply, making sure exceptional performance for running a 235-billion-parameter large language model (LLM).
    • Effective cooling and thermal management are achieved using Noctua fans and a modular airflow system, prioritizing stability and efficiency without unnecessary features like RGB lighting.
    • Power management solutions include dual power supply units (PSUs) and an uninterruptible power supply (UPS) to handle the high energy demands and ensure reliability during critical tasks.
    • Performance testing demonstrated a token generation speed of 68 tokens per second, showcasing the system’s ability to handle demanding AI workloads far beyond consumer-grade hardware capabilities.
    • The build emphasizes workspace integration, practical design, and future upgrade potential, balancing high performance with usability and scalability for AI research and development professionals.

    The Foundation of High-Performance Computing

    The backbone of any AI workstation lies in its hardware, and for a system designed to handle a 235-billion-parameter LLM, only the most advanced components will suffice. At the heart of this build is the Threadripper 9970X CPU, a processor engineered for extreme multitasking and computational intensity. Its architecture supports the simultaneous execution of numerous threads, making it ideal for AI workloads.

    Complementing the CPU is the TRX motherboard, which ensures seamless communication between the processor, memory, and other components. This motherboard is specifically designed to handle the high data throughput required by large-scale AI models, making sure stability and efficiency during intensive operations.

    For graphical processing, the workstation employs dual RTX Pro 6000 GPUs, which are optimized for AI and machine learning tasks. These GPUs deliver the raw computational power necessary for training and running large models, offering unparalleled performance compared to consumer-grade alternatives. To support these power-hungry components, the system is equipped with a 2500W power supply, which provides a stable and reliable energy source. All of these components are housed in a full-tower case, offering ample space for airflow, cable management, and future upgrades.

    Cooling and Thermal Management: Making sure Stability Under Load

    High-performance hardware generates significant heat, making effective cooling a critical aspect of the build. This workstation employs Noctua fans, renowned for their durability and quiet operation. These fans are strategically placed within the spacious full-tower case to create a modular airflow system, making sure that heat is efficiently dissipated even during prolonged periods of heavy use.

    Unlike many consumer-grade systems, this build avoids the inclusion of RGB lighting, opting instead for a clean and professional aesthetic. This design choice not only reduces unnecessary power consumption but also minimizes distractions, creating a more focused and efficient workspace. The emphasis on thermal management ensures that the system remains stable and performs optimally, even under the most demanding conditions.

    Alex Ziskind Builds a Powerful PC to Run Massive AI Models Locally

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    Power Management: Meeting the Demands of a 2500W System

    A workstation with a 2500W power supply presents unique challenges in power management. Standard electrical outlets are often insufficient to support such high energy demands, necessitating specialized solutions. This build incorporates dual power supply units (PSUs), which distribute the electrical load more effectively and enhance overall system reliability.

    To further safeguard the system, an uninterruptible power supply (UPS) is included. This device protects the workstation from power fluctuations and outages, making sure uninterrupted operation during critical tasks. Together, these power management solutions provide the stability and reliability required for high-performance computing, allowing the system to operate at peak efficiency without compromising safety.

    Performance Testing: Real-World Results

    The workstation was subjected to rigorous performance testing using a 235-billion-parameter LLM. During these tests, the system achieved a token generation speed of 68 tokens per second, a benchmark that highlights its exceptional processing power and memory optimization. This level of performance far exceeds what is achievable with consumer-grade GPUs, underscoring the value of investing in professional-grade hardware for demanding AI workloads.

    Workspace Integration: Practical Design and Organization

    Integrating a high-performance workstation into a workspace requires careful planning to ensure functionality and efficiency. The full-tower case, while necessary for housing the advanced components, occupies a significant amount of physical space. Proper cable management is essential to maintain an organized and clutter-free environment, while adequate ventilation ensures that the system operates efficiently without overheating.

    These considerations are not merely aesthetic but practical, as they contribute to the overall usability and reliability of the workstation. By addressing these factors, the build achieves a balance between performance and workspace integration, making it a practical solution for professionals in AI research and development.

    Cost and Investment: Evaluating the Financial Commitment

    Building a high-performance AI workstation represents a substantial financial investment. The Threadripper CPU, dual RTX Pro 6000 GPUs, and 2500W power supply are premium components that come with a high price tag. Additional expenses, such as the dual PSUs and UPS, further increase the overall cost of the build.

    However, for professionals working in AI research or development, the benefits of such a system often outweigh the costs. The ability to handle large-scale models and demanding workloads translates to increased productivity and efficiency, making the investment worthwhile for those who require innovative performance.

    Future Upgrades: Preparing for Tomorrow’s Challenges

    While the current build is optimized for running large-scale LLMs, there is always room for improvement. Potential upgrades include:

    • Adding additional GPUs to further enhance computational power and scalability.
    • Implementing advanced cooling solutions, such as liquid cooling systems, to improve thermal management.
    • Exploring more energy-efficient power management systems to reduce operational costs and environmental impact.

    By staying proactive with upgrades and optimizations, the workstation can remain at the forefront of AI performance, making sure its relevance and utility in an ever-evolving field.

    Setting a New Standard for AI Workstations

    Building a 2500W AI workstation is a complex endeavor that requires meticulous planning and a deep understanding of high-performance computing. From selecting the right hardware to addressing power and cooling challenges, every aspect of the build is designed to meet the demands of running a 235-billion-parameter LLM. The result is a machine that not only delivers exceptional performance but also sets a new benchmark for what is possible in AI research and development. For professionals in the field, this workstation represents a powerful tool that combines innovative technology with thoughtful design, allowing new advancements in artificial intelligence.

    Media Credit: Alex Ziskind

    Filed Under: AI, Guides, Hardware

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  • 7 Awesome Google Antigravity Features That Give Vibe Coders An Edge

    7 Awesome Google Antigravity Features That Give Vibe Coders An Edge

    7 Awesome Google Antigravity Features That Give Vibe Coders An Edge

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    Inline comments and frequent checkpoints in Antigravity let developers refine outputs without restarting long runs.

    What if you could code faster, smarter, and with less effort, while your competitors struggled to keep up? Enter Antigravity, Google’s new AI-powered coding tool that’s rewriting the rules of software development. With features that seem almost otherworldly, this tool doesn’t just assist developers, it gives them an unfair advantage. Imagine orchestrating a fleet of AI agents to debug, refactor, and optimize your code while you focus on the big picture. Antigravity isn’t just a tool; it’s a paradigm shift, empowering developers to tackle complex projects with unprecedented efficiency and precision. If you’re still relying on traditional workflows, you might be missing out on the future of coding.

    In this guide, Sean Kochel takes you through seven standout features that make Antigravity a fantastic option for modern developers. From real-time feedback loops that keep projects on track to customizable workflows tailored to your unique needs, these innovations are designed to amplify your productivity and creativity. But it’s not just about speed, it’s about control, transparency, and using AI to handle the grunt work so you can focus on what truly matters. Whether you’re curious about how browser automation can streamline UI testing or how agent management simplifies complex tasks, this journey will reveal why Antigravity is more than just a tool, it’s a competitive edge. Let’s explore what happens when coding meets innovation at its peak.

    Google Antigravity Overview

    TL;DR Key Takeaways :

    • Antigravity simplifies software development with an orchestration-first approach, allowing efficient management of multiple AI agents and automation of repetitive tasks.
    • The tool’s asynchronous feedback system allows real-time course corrections, making sure projects stay aligned with goals in dynamic workflows.
    • Artifact generation provides comprehensive documentation, promoting transparency, accountability, and ease of debugging for long-term projects.
    • Browser automation streamlines UI testing by allowing agents to self-grade performance, saving time and making sure consistent quality across projects.
    • Customizable workflows and model optimization features allow tailored solutions and smarter recommendations, enhancing efficiency and performance for diverse development needs.

    Agent Management: Streamlined Oversight for Complex Projects

    Antigravity’s agent management system is the foundation of its functionality, offering a centralized dashboard to oversee and interact with multiple AI agents simultaneously. This feature allows you to delegate tasks such as debugging, test case generation, or code refactoring while maintaining real-time visibility into their progress. By eliminating bottlenecks and making sure seamless coordination, this system enhances productivity and simplifies the management of multifaceted projects. Whether you’re handling a small team of agents or orchestrating a large-scale development effort, this feature ensures that every aspect of your project remains under control.

    Asynchronous Feedback: Real-Time Course Corrections

    The asynchronous feedback system is designed to keep your projects on track without unnecessary interruptions. Inline commenting and frequent checkpoints allow you to provide guidance to agents as they work. For example, if an agent’s implementation deviates from the intended direction, you can intervene immediately without restarting the entire process. This iterative feedback mechanism is particularly valuable in agile development environments, where adaptability and speed are critical. By allowing real-time course corrections, Antigravity ensures that your projects remain aligned with your goals, even in dynamic and fast-paced workflows.

    Google Antigravity for Devs, with Agent Control & Workflows

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    Artifact Generation: Comprehensive Documentation for Transparency

    Transparency is a cornerstone of Antigravity, and its artifact generation feature reinforces this principle. The tool automatically creates detailed logs, implementation plans, and step-by-step walkthroughs for every task. These artifacts provide you with a clear view of the development process and serve as essential resources for debugging, auditing, and future iterations. By documenting every step, Antigravity promotes accountability and continuous improvement. This feature is particularly beneficial for teams working on long-term projects, as it ensures that knowledge is preserved and easily accessible for future reference.

    Browser Automation: Efficient UI Testing

    For developers focused on user interface (UI) components, Antigravity’s browser automation capabilities are a significant time-saver. Optimized for Chrome, this feature enables agents to self-grade their performance on UI tasks, providing actionable insights into design and functionality. Whether you’re testing form validations, page responsiveness, or cross-browser compatibility, browser automation streamlines the process and ensures consistent quality across your projects. By automating repetitive UI testing tasks, you can focus on refining the user experience and addressing higher-priority issues.

    Custom Workflows: Tailored Solutions for Unique Needs

    Recognizing that every project has unique requirements, Antigravity offers customizable workflows to adapt to your specific needs. You can design, modify, and reuse workflows to automate deployment pipelines, standardize code reviews, or streamline other repetitive tasks. This flexibility allows you to focus on higher-value activities while maintaining consistency and efficiency across projects. By tailoring workflows to your development processes, Antigravity enables you to achieve better results with less effort, making it an indispensable tool for teams of all sizes.

    Model Optimization: Smarter Recommendations for Better Performance

    Antigravity’s model optimization feature provides intelligent recommendations to help you achieve optimal results. By analyzing task complexity and tool compatibility, the system suggests the most suitable models for your needs. For instance, it might recommend Gemini 3.0 for natural language processing tasks or Sonnet 4.5 for advanced computational operations. These insights enable you to maximize performance while minimizing resource usage, making sure that your projects run smoothly and efficiently. This feature is particularly valuable for developers working on resource-intensive applications, as it helps balance performance and cost-effectiveness.

    Review Policies: Balancing Control and Autonomy

    With adjustable review policies, Antigravity allows you to strike the perfect balance between agent autonomy and human oversight. You can configure settings to determine how much independence agents have during development. For example, you might allow agents to handle routine coding tasks autonomously while reserving manual approval for significant architectural decisions. This flexibility ensures high-quality outputs without compromising control or accountability. By tailoring review policies to your team’s workflow, you can maintain a consistent standard of quality while empowering agents to work efficiently.

    Redefining AI-Driven Development

    Antigravity is setting a new standard for AI-driven software development by combining advanced orchestration capabilities with human-in-the-loop processes. Its features, ranging from centralized agent management and asynchronous feedback to artifact generation and browser automation, are designed to enhance efficiency, transparency, and quality. Whether you’re managing complex workflows, automating routine tasks, or optimizing performance, Antigravity equips you with the tools to stay ahead in an increasingly competitive field. By prioritizing innovation and adaptability, this tool is poised to become an indispensable resource for developers aiming to push the boundaries of what’s possible in coding.

    Media Credit: Sean Kochel

    Filed Under: AI, Guides

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  • Watch Gemini 3 Pro & Claude 4.5 Combine to Ship Polished Apps : Dual AI Workflow

    Watch Gemini 3 Pro & Claude 4.5 Combine to Ship Polished Apps : Dual AI Workflow

    Watch Gemini 3 Pro & Claude 4.5 Combine to Ship Polished Apps : Dual AI Workflow

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    Benchmark callout for Claude Opus 4.5, 80.9 percent on Swaybench, used for deep research and planning.

    What if you could design stunning websites and powerful apps in just minutes, without compromising on quality or creativity? It may sound like a bold claim, but the pairing of Gemini 3 Pro and Claude Opus 4.5 is making this a reality for developers everywhere. These two innovative AI models, seamlessly integrated through the Abacus AI platform, are rewriting the rules of web and app development. Imagine a workflow where front-end designs are polished to perfection while back-end systems are optimized for scalability, all with minimal effort. This isn’t just a step forward; it’s a leap into a future where automation and precision redefine what’s possible.

    In this overview, World of AI takes you through how this dual-engine system is transforming the development process from start to finish. From Gemini’s ability to handle complex, multimodal tasks with ease to Claude’s mastery of back-end architecture, you’ll discover how these tools complement each other to deliver unparalleled results. Whether you’re a seasoned developer or just starting out, the integration of these AI models offers a streamlined, intuitive approach that prioritizes both creativity and efficiency. By the end, you might just find yourself rethinking what’s achievable in the world of digital design.

    AI Models Transforming Development

    TL;DR Key Takeaways :

    • The collaboration between Gemini 3 Pro and Claude Opus 4.5, assistd by the Abacus AI desktop agent, transforms web and app development with faster, smarter, and more efficient workflows.
    • Gemini 3 Pro excels in front-end development, offering support for large-scale projects, multimodal task handling, and streamlined prototyping for polished, high-quality designs.
    • Claude Opus 4.5 specializes in back-end development, focusing on system planning, scalability, performance optimization, and advanced research capabilities.
    • The Abacus AI platform integrates front-end and back-end workflows, automates repetitive tasks, and supports iterative development, enhancing efficiency and innovation.
    • The subscription-based model at $10/month per user provides access to advanced AI tools, regular updates, and features like chat LM and deep agent for enhanced collaboration and automation.

    Gemini 3 Pro: Elevating Front-End Development

    Gemini 3.0 Pro is a robust solution for front-end development, designed to produce clean, efficient, and visually appealing code. With its ability to process a 1-million-token context, it seamlessly handles large and complex codebases, making it particularly effective for intricate reasoning and multimodal tasks. Whether you are prototyping a new interface or refining an existing design, Gemini ensures that your projects maintain a polished, professional aesthetic. Its focus on precision and efficiency makes it an indispensable tool for developers aiming to deliver high-quality front-end solutions.

    Key benefits of Gemini 3.0 Pro include:

    • Support for large-scale projects with extensive codebases
    • Enhanced multimodal task handling for diverse development needs
    • Streamlined prototyping and design refinement

    By using these capabilities, Gemini enables developers to achieve excellence in front-end development with minimal effort.

    Claude Opus 4.5: Mastering Back-End Development

    While Gemini excels in front-end tasks, Claude Opus 4.5 is tailored for back-end architecture and system planning. This model specializes in deep research, task decomposition, and document analysis, making sure that your applications are not only functional but also scalable and optimized for performance. With an impressive 80.9% score on the Swaybench benchmark, Claude demonstrates its ability to manage the structural and operational aspects of software development with exceptional reliability.

    Claude Opus 4.5 offers:

    • Comprehensive back-end system planning
    • Scalability and performance optimization
    • Advanced research and task management capabilities

    This focus on back-end excellence ensures that your applications are built on a solid foundation, capable of meeting both current and future demands.

    Combining Gemini 3.0 Pro & Claude Opus Designer

    Here are additional guides from our expansive article library that you may find useful on Gemini 3.

    Abacus AI: Uniting Front-End and Back-End Development

    The Abacus AI desktop agent serves as the critical link between Gemini 3.0 Pro and Claude Opus 4.5, allowing seamless collaboration between the two models. This platform provides a suite of tools, including a command-line interface (CLI), a code editor, and a desktop listener, all designed to streamline your development process. By automating workflows and supporting iterative development, Abacus AI ensures that your projects benefit from continuous refinement and improvement.

    Features of Abacus AI include:

    • Integration of front-end and back-end development workflows
    • Automation tools for enhanced efficiency
    • Customizable configurations to suit project-specific needs

    This integration allows developers to focus on innovation and creativity while the platform handles routine and repetitive tasks.

    AI Code Surgeon App: A Practical Example

    One standout application of this dual-engine system is the AI Code Surgeon App, which showcases the combined capabilities of Gemini and Claude. This app is equipped with advanced features designed to address real-world coding challenges, including:

    • Code repair and refactoring for cleaner, more efficient code
    • Security enhancements to protect against vulnerabilities
    • Performance optimization for faster, more reliable applications

    Additionally, the app includes interactive tools such as consultation mode for expert guidance, blueprint visualization for strategic planning, and emergency mode for addressing critical issues. These features highlight the system’s ability to provide comprehensive solutions for maintaining and improving codebases, making it an invaluable resource for developers.

    Optimized Workflow for Maximum Efficiency

    The workflow begins with you defining rule sets within the Abacus AI platform, assigning specific roles to each model. Claude Opus 4.5 takes charge of planning and architectural tasks, while Gemini 3.0 Pro focuses on front-end development and code generation. This clear division of responsibilities ensures that each model operates within its area of expertise, delivering optimal results.

    Key workflow steps include:

    • Defining project-specific rule sets and configurations
    • Assigning tasks to the appropriate AI model
    • Iterative development for continuous improvement

    This structured approach enhances flexibility and adaptability, allowing you to tailor the system to meet the unique requirements of your projects.

    Subscription Details and Accessibility

    Access to the Abacus AI platform is available through a subscription priced at $10 per month per user. This subscription includes additional tools such as chat LM and deep agent, which further enhance task automation and collaboration. Regular updates and new features ensure that your development tools remain innovative, providing consistent value and keeping you ahead in the competitive landscape of web and app development.

    Subscription benefits include:

    • Access to advanced AI models and tools
    • Regular updates to maintain technological relevance
    • Affordable pricing for individual and team use

    This cost-effective solution ensures that developers and businesses alike can use the power of AI to achieve their goals efficiently and effectively.

    Media Credit: WorldofAI

    Filed Under: AI, Top News

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    Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.