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IMF Warns: CBDCs Could Enable State Surveillance Through Personal Data and Behavioral Insights

IMF সতর্ক করে: CBDCs ব্যক্তিগত ডেটা এবং আচরণগত অন্তর্দৃষ্টির মাধ্যমে রাষ্ট্রীয় নজরদারি সক্ষম করতে পারে

IWF warnt: CBDCs könnten staatliche Überwachung durch persönliche Daten und Verhaltenseinblicke ermöglichen

El FMI advierte: las CBDC podrían permitir la vigilancia estatal a través de datos personales y conocimientos sobre el comportamiento

Le FMI met en garde : les CBDC pourraient permettre la surveillance de l'État grâce aux données personnelles et aux informations comportementales

आईएमएफ ने चेतावनी दी: सीबीडीसी व्यक्तिगत डेटा और व्यवहार संबंधी अंतर्दृष्टि के माध्यम से राज्य निगरानी को सक्षम कर सकते हैं

IMFが警告：CBDCは個人データと行動分析を通じて国家監視を可能にする可能性がある

IMF 경고: CBDC는 개인 데이터와 행동 통찰력을 통해 국가 감시를 가능하게 할 수 있음

FMI alerta: CBDCs podem permitir vigilância estatal por meio de dados pessoais e insights comportamentais

МВФ предупреждает: CBDC могут позволить осуществлять государственный надзор с помощью персональных данных и поведенческих анализов

IMF Uyarıyor: CBDC'ler Kişisel Veriler ve Davranışsal İçgörüler Aracılığıyla Devlet Gözetimine Olanak Tanıyabilir

IMF cảnh báo: CBDC có thể cho phép giám sát nhà nước thông qua dữ liệu cá nhân và hiểu biết về hành vi

国际货币基金组织警告：CBDC 可能通过个人数据和行为洞察实现国家监控

PALO ALTO, California, October 16th, 2024/GamingWire/--Tales—the popular AI gaming project spearheaded by a team of Stanford PhDs and Game developers—has today announced its innovative debut product: a Large World Model (LWM) that can generate entire digital worlds using simple text-to-game prompts. Tales intends to completely transform the world of gaming by enabling users to create fully functional games without the need for any development or game design experience. The aim is to empower players to overthrow the gaming establishment. https://www.youtube.com/embed/_CUoVGW8VCw Video: https://www.youtube.com/watch?v=_CUoVGW8VCw Competing with the world’s leading studios, Tales allows gamers to ‘bring this vision to life’ by creating user-generated, interactive, and immersive experiences. By crowdsourcing data, resources, and infrastructure, Tales is developing Sia, perhaps the most radical AI model to-date. Building Games in Seconds With a Text Prompt Similar to how chatbots like ChatGPT and Claude are powered by Large Language Models (LLMs), which specialize in processing and generating text-based outputs, Tales is building its own Large World Model designed for video game creation. This LWM is capable of understanding and generating all components of a video game— from environments, physics, 3D models, and gameplay footage to NPC (non-player character) behavior—along with detailed metadata. While an LLM learns language patterns by training on vast amounts of text, an LWM trains on gameplay data, video content, 3D assets, descriptive metadata, and feedback over time. This enables the LWM to understand how games are structured, refining its ability to create complex game elements and mechanics. Tales can output fully functional games by leveraging 3D engines, spatial reasoning algorithms, and NPC behavior systems. With just a simple text prompt like, “make a first person shooter in space” the LWM can generate the requested game, which is customizable and immediately playable. The model essentially serves as a tool for procedurally generating games in real-time and marks a substantial evolution from existing AI offerings. Tales' outputs extend beyond games, with possibilities for virtual reality worlds, interactive experiences, and immersive educational tools, making this a diversified value proposition for potential future investors. “Tales truly feels like something out of a sci-fi film, and we can’t wait to make it a reality,” said Jason Krupat, Head of Product.“The gaming industry is in desperate need of a revolution, and putting the power to create in the hands of gamers could be the start of a new era of entertainment that extends far beyond games. A lack of resources should never get in the way of a creative spark, and empowering creators in this way means so much to us.” How does Tales learn? In one of the most ambitious crowdsourced projects in history, Tales utilizes data, storage, and computational power to train its Large World Model. To ensure the community are engaged and incentivized to build this together, Tales is launching a rewards-based incentive system. Users can submit anything from gameplay footage, in-game assets, and extensive environment descriptions to form a fully transparent dataset, which is tracked and documented to ensure provenance and preserve privacy. “The systems of the future place increasingly stringent demands on infrastructure and data, posing unique challenges in the creation of a project like Tales—and this calls for unique solutions,” said Viktor Uzunov, Head of Community.“This is why we’ve decided to bootstrap the power of what could be one of the fastest-growing communities in tech. Why can’t we take on the largest competitors in the industry by working together with gamers?” Tales will be ready for early access in November. For more information, please visit https://tales.world/. About Tales Tales is an ambitious next-generation gaming platform, powered by AI. Tales is pioneering crowdsourced generative AI within the gaming industry with its large world model. By crowdsourcing vast amounts of data and computational power, the team including Stanford PhDs and Game Developers based out of Palo Alto, are building one of the world’s most powerful AI models ever, democratizing game creation and empowering creators to bring their vision to life with zero friction. To follow on social media: X, Telegram, Discord, TikTok, Twitch, Medium, YouTube Contact Head of Community Viktor Uzunov Tales pr@tales.world This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here. PALO ALTO, California, October 16th, 2024/GamingWire/--Tales —the popular AI gaming project spearheaded by a team of Stanford PhDs and Game developers—has today announced its innovative debut product: a Large World Model (LWM) that can generate entire digital worlds using simple text-to-game prompts. PALO ALTO, California, October 16th, 2024/GamingWire/--Tales Tales intends to completely transform the world of gaming by enabling users to create fully functional games without the need for any development or game design experience. The aim is to empower players to overthrow the gaming establishment . overthrow the gaming establishment overthrow the gaming establishment https://www.youtube.com/embed/_CUoVGW8VCw https://www.youtube.com/embed/_CUoVGW8VCw https://www.youtube.com/embed/_CUoVGW8VCw Video: https://www.youtube.com/watch?v=_CUoVGW8VCw Competing with the world’s leading studios, Tales allows gamers to ‘ bring this vision to life ’ by creating user-generated, interactive, and immersive experiences. By crowdsourcing data, resources, and infrastructure, Tales is developing Sia, perhaps the most radical AI model to-date. bring this vision to life bring this vision to life Building Games in Seconds With a Text Prompt Similar to how chatbots like ChatGPT and Claude are powered by Large Language Models (LLMs), which specialize in processing and generating text-based outputs, Tales is building its own Large World Model designed for video game creation. This LWM is capable of understanding and generating all components of a video game— from environments, physics, 3D models, and gameplay footage to NPC (non-player character) behavior—along with detailed metadata. While an LLM learns language patterns by training on vast amounts of text, an LWM trains on gameplay data, video content, 3D assets, descriptive metadata, and feedback over time. This enables the LWM to understand how games are structured, refining its ability to create complex game elements and mechanics. Tales can output fully functional games by leveraging 3D engines, spatial reasoning algorithms, and NPC behavior systems. With just a simple text prompt like, “make a first person shooter in space” the LWM can generate the requested game, which is customizable and immediately playable. The model essentially serves as a tool for procedurally generating games in real-time and marks a substantial evolution from existing AI offerings. Tales' outputs extend beyond games, with possibilities for virtual reality worlds, interactive experiences, and immersive educational tools, making this a diversified value proposition for potential future investors. “Tales truly feels like something out of a sci-fi film, and we can’t wait to make it a reality,” said Jason Krupat, Head of Product.“The gaming industry is in desperate need of a revolution, and putting the power to create in the hands of gamers could be the start of a new era of entertainment that extends far beyond games. A lack of resources should never get in the way of a creative spark, and empowering creators in this way means so much to us.” “Tales truly feels like something out of a sci-fi film, and we can’t wait to make it a reality,” said Jason Krupat, Head of Product.“The gaming industry is in desperate need of a revolution, and putting the power to create in the hands of gamers could be the start of a new era of entertainment that extends far beyond games. A lack of resources should never get in the way of a creative spark, and empowering creators in this way means so much to us.” How does Tales learn? In one of the most ambitious crowdsourced projects in history, Tales utilizes data, storage, and computational power to train its Large World Model. To ensure the community are engaged and incentivized to build this together, Tales is launching a rewards-based incentive system. Users can submit anything from gameplay footage, in-game assets, and extensive environment descriptions to form a fully transparent dataset, which is tracked and documented to ensure provenance and preserve privacy. “The systems of the future place increasingly stringent demands on infrastructure and data, posing unique challenges in the creation of a project like Tales—and this calls for unique solutions,” said Viktor Uzunov, Head of Community.“This is why we’ve decided to bootstrap the power of what could be one of the fastest-growing communities in tech. Why can’t we take on the largest competitors in the industry by working together with gamers?” “The systems of the future place increasingly stringent demands on infrastructure and data, posing unique challenges in the creation of a project like Tales—and this calls for unique solutions,” said Viktor Uzunov, Head of Community.“This is why we’ve decided to bootstrap the power of what could be one of the fastest-growing communities in tech. Why can’t we take on the largest competitors in the industry by working together with gamers?” Tales will be ready for early access in November. For more information, please visit https://tales.world/ . https://tales.world/ https://tales.world/ About Tales Tales is an ambitious next-generation gaming platform, powered by AI. Tales is pioneering crowdsourced generative AI within the gaming industry with its large world model. By crowdsourcing vast amounts of data and computational power, the team including Stanford PhDs and Game Developers based out of Palo Alto, are building one of the world’s most powerful AI models ever, democratizing game creation and empowering creators to bring their vision to life with zero friction. To follow on social media: X , Telegram , Discord , TikTok , Twitch , Medium , YouTube X X Telegram Telegram Discord Discord TikTok TikTok Twitch Twitch Medium Medium YouTube YouTube Contact Head of Community Viktor Uzunov Tales pr@tales.world This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Tales Reveals Gaming AI: Enables Users To Build And Play Any Game

Tales Reveals Gaming AI: stel gebruikers in staat om enige speletjie te bou en te speel

Tales revela inteligencia artificial para juegos: permite a los usuarios crear y jugar cualquier juego

Tales Reveals Gaming AI: Lehetővé teszi a felhasználók számára, hogy bármilyen játékot építsenek és játszanak

Tales Reveals Gaming AI: מאפשר למשתמשים לבנות ולשחק כל משחק

テイルズがゲームAIを発表: ユーザーがあらゆるゲームを構築してプレイできるようにする

Tales បង្ហាញ Gaming AI៖ អនុញ្ញាតឱ្យអ្នកប្រើប្រាស់បង្កើត និងលេងហ្គេមណាមួយ។

Tales Gaming AI'ти ачып берет: Колдонуучуларга каалаган оюнду курууга жана ойноого мүмкүнчүлүк берет

Tales тоглоомын хиймэл оюун ухааныг илчиллээ: Хэрэглэгчдэд ямар ч тоглоом бүтээх, тоглох боломжийг олгодог

Tales Reveals Gaming AI: प्रयोगकर्ताहरूलाई कुनै पनि खेल बनाउन र खेल्न सक्षम बनाउँछ

Талес Ревеалс Гаминг АИ: Омогућава корисницима да направе и играју било коју игру

Афсонаҳои бозӣ AI-ро ошкор мекунанд: ба корбарон имкон медиҳад, ки ҳама гуна бозиро созанд ва бозӣ кунанд

Iintsomi zityhila umdlalo we-AI: Ivumela abasebenzisi ukuba bakhe kwaye badlale nawuphi na umdlalo

Earlier, Vercel's free pricing plan allowed multiple members to commit changes that would automatically deploy. However, this feature has recently changed, and now only the project creator can trigger deployments. To enable this feature for each additional member, a fee of $20 will be charged. Bypass the Charge with a GitHub Action You can create a GitHub Action that performs an empty commit, triggering Vercel to deploy automatically. Here’s how: Step 1: Create the Workflow File Inside your repository, navigate to the .github/workflows directory. If the workflows folder doesn't exist, create it.


Add a file named auto-empty-commit.yml. Step 2: Add the Script Paste the following code into auto-empty-commit.yml: name: Auto Empty Commit

on:
  push:
    branches:
      - 'master' # Trigger on pushes to the master branch
      # - '**' # Uncomment to trigger on pushes to any branch

permissions:
  contents: write # Allow write access to repository contents

jobs:
  empty_commit:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout Repository
        uses: actions/checkout@v2

      - name: Get the Latest Commit Branch
        id: get_branch
        run: echo "branch=$(git rev-parse --abbrev-ref HEAD)" >> $GITHUB_ENV

      - name: Create Empty Commit
        run: |
          git config --local user.name "example" # Replace with your name
          git config --local user.email "example@example.com" # Replace with your email
          git commit --allow-empty -m "Auto commit after push"
          git push origin ${{ env.branch }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} Customization Branch Configuration: Modify the on.push.branches section to specify which branch will trigger this action.


Git User Configuration: Update the Git user name and email in the Create Empty Commit step with the credentials of the member who created the project on Vercel. Final Steps Commit your changes and push them to your repository.


Now, when a commit is made, the action will create an empty commit, triggering Vercel to deploy automatically. You’ll know the deployment status by the commit icons: a cross ❌ indicates the deployment failed, while a check ✅ shows successful deployment. Conclusion That’s it! I hope you found this guide helpful. 🚀 Feel free to follow me on GitHub and LinkedIn for more JavaScript tips and tricks! GitHub LinkedIn Stay awesome and happy coding! ✨ Earlier, Vercel's free pricing plan allowed multiple members to commit changes that would automatically deploy. However, this feature has recently changed, and now only the project creator can trigger deployments. To enable this feature for each additional member, a fee of $20 will be charged. Bypass the Charge with a GitHub Action You can create a GitHub Action that performs an empty commit, triggering Vercel to deploy automatically. Here’s how: Step 1: Create the Workflow File Inside your repository, navigate to the .github/workflows directory. If the workflows folder doesn't exist, create it. Add a file named auto-empty-commit.yml. Inside your repository, navigate to the .github/workflows directory. If the workflows folder doesn't exist, create it. Inside your repository, navigate to the .github/workflows directory. If the workflows folder doesn't exist, create it. .github/workflows workflows Add a file named auto-empty-commit.yml. Add a file named auto-empty-commit.yml . auto-empty-commit.yml Step 2: Add the Script Paste the following code into auto-empty-commit.yml : auto-empty-commit.yml name: Auto Empty Commit

on:
  push:
    branches:
      - 'master' # Trigger on pushes to the master branch
      # - '**' # Uncomment to trigger on pushes to any branch

permissions:
  contents: write # Allow write access to repository contents

jobs:
  empty_commit:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout Repository
        uses: actions/checkout@v2

      - name: Get the Latest Commit Branch
        id: get_branch
        run: echo "branch=$(git rev-parse --abbrev-ref HEAD)" >> $GITHUB_ENV

      - name: Create Empty Commit
        run: |
          git config --local user.name "example" # Replace with your name
          git config --local user.email "example@example.com" # Replace with your email
          git commit --allow-empty -m "Auto commit after push"
          git push origin ${{ env.branch }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} name: Auto Empty Commit

on:
  push:
    branches:
      - 'master' # Trigger on pushes to the master branch
      # - '**' # Uncomment to trigger on pushes to any branch

permissions:
  contents: write # Allow write access to repository contents

jobs:
  empty_commit:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout Repository
        uses: actions/checkout@v2

      - name: Get the Latest Commit Branch
        id: get_branch
        run: echo "branch=$(git rev-parse --abbrev-ref HEAD)" >> $GITHUB_ENV

      - name: Create Empty Commit
        run: |
          git config --local user.name "example" # Replace with your name
          git config --local user.email "example@example.com" # Replace with your email
          git commit --allow-empty -m "Auto commit after push"
          git push origin ${{ env.branch }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} Customization Branch Configuration: Modify the on.push.branches section to specify which branch will trigger this action. Git User Configuration: Update the Git user name and email in the Create Empty Commit step with the credentials of the member who created the project on Vercel. Branch Configuration: Modify the on.push.branches section to specify which branch will trigger this action. Branch Configuration: Modify the on.push.branches section to specify which branch will trigger this action. Branch Configuration: on.push.branches Git User Configuration: Update the Git user name and email in the Create Empty Commit step with the credentials of the member who created the project on Vercel. Git User Configuration: Update the Git user name and email in the Create Empty Commit step with the credentials of the member who created the project on Vercel. Git User Configuration: Create Empty Commit Final Steps Commit your changes and push them to your repository. Now, when a commit is made, the action will create an empty commit, triggering Vercel to deploy automatically. Commit your changes and push them to your repository. Commit your changes and push them to your repository. Now, when a commit is made, the action will create an empty commit, triggering Vercel to deploy automatically. Now, when a commit is made, the action will create an empty commit, triggering Vercel to deploy automatically. You’ll know the deployment status by the commit icons: a cross ❌ indicates the deployment failed, while a check ✅ shows successful deployment. Conclusion That’s it! I hope you found this guide helpful. 🚀 Feel free to follow me on GitHub and LinkedIn for more JavaScript tips and tricks! GitHub GitHub LinkedIn LinkedIn Stay awesome and happy coding! ✨

Maximize Vercel's FREE Plan: Enable Auto Deployment for All Members

Can Cryptocurrency Enable a Stateless, Global Economy?

La criptomoneda pot permetre una economia global sense estat?

¿Pueden las criptomonedas posibilitar una economía global sin Estado?

Cryptocurrency-ek Estaturik gabeko ekonomia globala gai dezake?

Èske Cryptocurrency Pèmèt yon Ekonomi Global San Apatrid?

Կրիպտոարժույթը կարո՞ղ է նպաստել քաղաքացիություն չունեցող, գլոբալ տնտեսությանը:

האם מטבעות קריפטו יכולים לאפשר כלכלה גלובלית חסרת מדינה?

暗号通貨は国家のないグローバル経済を可能にするか?

Ar kriptovaliuta gali įgalinti pasaulinę ekonomiką be pilietybės?

Может ли криптовалюта способствовать созданию глобальной экономики без государства?

Cryptocurrency ishobora gutuma ubukungu butagira ubwenegihugu, bwisi yose?

Lacagta loo yaqaan 'Cryptocurrency' ma awood u yeelan kartaa waddan la'aan, dhaqaale caalami ah?

A mundet kriptomonedha të mundësojë një ekonomi globale pa shtetësi?

Businesses increasingly recognize the potential of generative artificial intelligence (GenAI). However, many organizations find themselves trapped in a cycle of endless pilot projects, unable to fully realize the benefits of GenAI in production environments. The AI control platform Aporia is changing how enterprises adopt and scale GenAI solutions, pushing them to break free from pilot limbo and achieve live success. "At Aporia, our mission is to maximize the immense potential of GenAI and the real-world challenges that hinder its widespread adoption," says Liran Hason, Chief Executive Officer (CEO) of Aporia, who coined the term “GenAI Chasm,” referring to the pilot phase AI often gets caught in before being able to go live due to security and reliability issues. With its guardrails and comprehensive risk mitigation strategies, the company is opening new avenues for seamless GenAI deployment across industries. Aporia's Robust Guardrails for Seamless GenAI Adoption One of the primary challenges in GenAI deployment is the lack of adequate control and risk management. Aporia’s comprehensive suite of tools is meant to ensure safe, responsible, and compliant AI interactions. These guardrails seamlessly integrate with existing AI workflows, providing a powerful layer of protection against potential risks such as data leakage, hallucinations, and prompt injection attacks. "Aporia's guardrails are the cornerstone of our platform," explains Hason. "They empower businesses to adopt GenAI with confidence, secure in the knowledge that their applications are reliable, secure, and aligned with their core values and objectives.” Mitigating Hallucinations and Prompt Injection Risks Hallucinations and prompt injection attacks pose threats to the integrity and reliability of GenAI applications. Aporia addresses these challenges with a multi-faceted approach that combines advanced detection algorithms, real-time actions, and proactive mitigation strategies. "Hallucinations and prompt injections can erode trust in AI systems and lead to severe consequences," notes Hason. "Our comprehensive approach ensures that these risks are identified and mitigated before they can impact end-users or the business." With Aporia's robust safeguards, organizations can confidently deploy GenAI applications, knowing their systems are protected against these critical threats. Ensuring Compliance and Ethical AI Deployment with Aporia's Solutions GenAI is becoming more prevalent, and compliance with regulations and ethical standards is paramount. Aporia's solutions are designed to help businesses deal with this complex landscape easily and to cross the GenAI chasm with confidence. "Compliance and ethics are not mere afterthoughts for us. They are embedded in the very fabric of our platform," states Hason. "We firmly believe that the long-term success of GenAI hinges on its ability to operate within a framework of trust, transparency, and accountability from both the user and business perspective." Pioneering Research for Secure and Reliable GenAI Applications Aporia Labs, Aporia's dedicated research and development division, is advancing the platform’s security and reliability. Staffed by a team of world-class AI researchers, security experts, and data scientists, Aporia Labs conducts constant research to identify emerging threats and develop services. "The work we do at Aporia Labs is instrumental to the future of GenAI. It's shaping the very trajectory of the industry," says Hason. Aporia Labs makes way for secure and reliable GenAI applications through its pioneering research. How Aporia Streamlines the GenAI Development Lifecycle Aporia's AI control platform is designed to streamline the entire GenAI development lifecycle, from ideation to deployment and beyond. A unified environment for building, testing, and monitoring GenAI applications enables teams to deliver better results. Furthermore, the platform's intuitive interface and powerful automation capabilities make it easy for businesses to bring their GenAI visions to life without compromising quality or security. "We've witnessed firsthand the transformative impact of Aporia on the GenAI development process," shares Hason. With Aporia, organizations can streamline their GenAI development efforts, accelerating time-to-market and maximizing the return on their AI investments. The Key to Unlocking GenAI's Full Potential in Enterprise Settings For enterprises seeking to harness GenAI's full potential, Aporia's AI control platform is the key to success. With its comprehensive feature set, scalable architecture, and enterprise-grade security, the platform is able to meet large-scale AI deployments' unique needs and challenges. From customizable guardrails to advanced analytics and reporting, Aporia provides the tools and insights to drive GenAI adoption and return on investment (ROI) across the organization. "Enterprises face complex challenges when it comes to scaling GenAI, from ensuring security and governance to driving organization-wide adoption," notes Hason. "Aporia's platform is purpose-built to address these challenges head-on, enabling enterprises to unlock the full potential of GenAI and drive transformative business outcomes." Bridging the Gap: Aporia's Proven Strategies for Successful GenAI Pilot-to-Production Transitions Transitioning GenAI projects from pilot to production is a critical milestone many businesses struggle with. Aporia bridges this gap with proven strategies and best practices that have helped countless organizations successfully deal with this journey. Aporia remains a leading enabler for businesses to unlock the full potential of this advanced technology. With Aporia, businesses can confidently solve the challenges of GenAI deployment, harnessing its immense potential to drive growth and become a more competitive advantage in an AI-driven future. This piece was published as a part of HackerNoon’s Business Blogging Program. For more details, please click here. Businesses increasingly recognize the potential of generative artificial intelligence (GenAI). However, many organizations find themselves trapped in a cycle of endless pilot projects, unable to fully realize the benefits of GenAI in production environments. Businesses increasingly recognize the potential of generative artificial intelligence (GenAI). However, many organizations find themselves trapped in a cycle of endless pilot projects, unable to fully realize the benefits of GenAI in production environments. The AI control platform Aporia is changing how enterprises adopt and scale GenAI solutions, pushing them to break free from pilot limbo and achieve live success. Aporia Aporia " At Aporia, our mission is to maximize the immense potential of GenAI and the real-world challenges that hinder its widespread adoption, " says Liran Hason, Chief Executive Officer (CEO) of Aporia, who coined the term “GenAI Chasm,” referring to the pilot phase AI often gets caught in before being able to go live due to security and reliability issues. With its guardrails and comprehensive risk mitigation strategies, the company is opening new avenues for seamless GenAI deployment across industries. At Aporia, our mission is to maximize the immense potential of GenAI and the real-world challenges that hinder its widespread adoption, Aporia's Robust Guardrails for Seamless GenAI Adoption Aporia's Robust Guardrails for Seamless GenAI Adoption One of the primary challenges in GenAI deployment is the lack of adequate control and risk management. Aporia’s comprehensive suite of tools is meant to ensure safe, responsible, and compliant AI interactions. These guardrails seamlessly integrate with existing AI workflows, providing a powerful layer of protection against potential risks such as data leakage, hallucinations, and prompt injection attacks. "Aporia's guardrails are the cornerstone of our platform," explains Hason. " They empower businesses to adopt GenAI with confidence, secure in the knowledge that their applications are reliable, secure, and aligned with their core values and objectives.” "Aporia's guardrails are the cornerstone of our platform," They empower businesses to adopt GenAI with confidence, secure in the knowledge that their applications are reliable, secure, and aligned with their core values and objectives.” Mitigating Hallucinations and Prompt Injection Risks Mitigating Hallucinations and Prompt Injection Risks Hallucinations and prompt injection attacks pose threats to the integrity and reliability of GenAI applications. Aporia addresses these challenges with a multi-faceted approach that combines advanced detection algorithms, real-time actions, and proactive mitigation strategies. "Hallucinations and prompt injections can erode trust in AI systems and lead to severe consequences," notes Hason. " Our comprehensive approach ensures that these risks are identified and mitigated before they can impact end-users or the business." With Aporia's robust safeguards, organizations can confidently deploy GenAI applications, knowing their systems are protected against these critical threats. "Hallucinations and prompt injections can erode trust in AI systems and lead to severe consequences," Our comprehensive approach ensures that these risks are identified and mitigated before they can impact end-users or the business." Ensuring Compliance and Ethical AI Deployment with Aporia's Solutions Ensuring Compliance and Ethical AI Deployment with Aporia's Solutions GenAI is becoming more prevalent, and compliance with regulations and ethical standards is paramount. Aporia's solutions are designed to help businesses deal with this complex landscape easily and to cross the GenAI chasm with confidence. "Compliance and ethics are not mere afterthoughts for us. They are embedded in the very fabric of our platform," states Hason. " We firmly believe that the long-term success of GenAI hinges on its ability to operate within a framework of trust, transparency, and accountability from both the user and business perspective." "Compliance and ethics are not mere afterthoughts for us. They are embedded in the very fabric of our platform," We firmly believe that the long-term success of GenAI hinges on its ability to operate within a framework of trust, transparency, and accountability from both the user and business perspective." Pioneering Research for Secure and Reliable GenAI Applications Pioneering Research for Secure and Reliable GenAI Applications Aporia Labs, Aporia's dedicated research and development division, is advancing the platform’s security and reliability. Staffed by a team of world-class AI researchers, security experts, and data scientists, Aporia Labs conducts constant research to identify emerging threats and develop services. "The work we do at Aporia Labs is instrumental to the future of GenAI. It's shaping the very trajectory of the industry," says Hason. Aporia Labs makes way for secure and reliable GenAI applications through its pioneering research. "The work we do at Aporia Labs is instrumental to the future of GenAI. It's shaping the very trajectory of the industry," How Aporia Streamlines the GenAI Development Lifecycle How Aporia Streamlines the GenAI Development Lifecycle Aporia's AI control platform is designed to streamline the entire GenAI development lifecycle, from ideation to deployment and beyond. A unified environment for building, testing, and monitoring GenAI applications enables teams to deliver better results. Furthermore, the platform's intuitive interface and powerful automation capabilities make it easy for businesses to bring their GenAI visions to life without compromising quality or security. "We've witnessed firsthand the transformative impact of Aporia on the GenAI development process," shares Hason. With Aporia, organizations can streamline their GenAI development efforts, accelerating time-to-market and maximizing the return on their AI investments. "We've witnessed firsthand the transformative impact of Aporia on the GenAI development process," The Key to Unlocking GenAI's Full Potential in Enterprise Settings The Key to Unlocking GenAI's Full Potential in Enterprise Settings For enterprises seeking to harness GenAI's full potential, Aporia's AI control platform is the key to success. With its comprehensive feature set, scalable architecture, and enterprise-grade security, the platform is able to meet large-scale AI deployments' unique needs and challenges. From customizable guardrails to advanced analytics and reporting, Aporia provides the tools and insights to drive GenAI adoption and return on investment (ROI) across the organization. "Enterprises face complex challenges when it comes to scaling GenAI, from ensuring security and governance to driving organization-wide adoption," notes Hason. "Aporia's platform is purpose-built to address these challenges head-on, enabling enterprises to unlock the full potential of GenAI and drive transformative business outcomes." "Enterprises face complex challenges when it comes to scaling GenAI, from ensuring security and governance to driving organization-wide adoption," "Aporia's platform is purpose-built to address these challenges head-on, enabling enterprises to unlock the full potential of GenAI and drive transformative business outcomes." Bridging the Gap: Aporia's Proven Strategies for Successful GenAI Pilot-to-Production Transitions Bridging the Gap: Aporia's Proven Strategies for Successful GenAI Pilot-to-Production Transitions Transitioning GenAI projects from pilot to production is a critical milestone many businesses struggle with. Aporia bridges this gap with proven strategies and best practices that have helped countless organizations successfully deal with this journey. Aporia remains a leading enabler for businesses to unlock the full potential of this advanced technology. With Aporia, businesses can confidently solve the challenges of GenAI deployment, harnessing its immense potential to drive growth and become a more competitive advantage in an AI-driven future. This piece was published as a part of HackerNoon’s Business Blogging Program. For more details, please click here. This piece was published as a part of HackerNoon’s Business Blogging Program. For more details, please click here . here

How Aporia Enables GenAI Deployment From Pilot Limbo to Live Success

অ্যাপোরিয়া কীভাবে পাইলট লিম্বো থেকে লাইভ সাফল্যের জন্য GenAI স্থাপনাকে সক্ষম করে

Wie Aporia die GenAI-Bereitstellung von der Pilotphase bis zum Live-Erfolg ermöglicht

Cómo Aporia permite la implementación de GenAI desde el limbo piloto hasta el éxito en vivo

Comment Aporia permet le déploiement de GenAI des limbes pilotes au succès réel

एपोरिया कैसे जेनएआई की तैनाती को पायलट लिम्बो से लाइव सफ़लता तक सक्षम बनाता है

Aporia が GenAI の導入をパイロット段階から実際の成功まで可能にする方法

Aporia가 파일럿 림보(Pilot Limbo)에서 실제 성공까지 GenAI 배포를 활성화하는 방법

Como Aporia permite a implantação de GenAI do piloto Limbo ao sucesso ao vivo

Как Aporia обеспечивает развертывание GenAI от экспериментального неопределенности до реального успеха

Aporia, Pilot Araf'tan Canlı Başarıya Kadar GenAI Dağıtımını Nasıl Etkinleştiriyor?

Cách Aporia cho phép triển khai GenAI từ thí điểm Limbo đến thành công trực tiếp

Aporia 如何使 GenAI 部署从试点走向成功

Black Friday is nearly here, which means customers will be swarming stores to snag the best deals — and retailers will be bracing for the corresponding boost in thefts. But even aside from the Black Friday bump, theft is a growing problem for many retailers. How could AI reduce the risk? 1. Enabling Automatic Cart Audits Some retailers have employees standing near store exits to check shoppers’ receipts as they leave, verifying that the list of items matches their cart contents. However, this process often becomes cumbersome during busy periods, requiring people to wait in lines. Leaders at Sam’s Club believe AI can do the task faster. As of April 2024, more than 120 locations used AI exit scanning technology, and the overall figure matched executives’ goal of adding AI to 20% of its stores by the end of the first quarter. Sam’s Club represents the largest deployment of such customer-facing technology in the retail industry. Customers who engage with it can leave stores 23% faster, and internal data shows more than 50% of shoppers use it. Notably, before rolling out this solution, Sam’s Club employees got feedback from customers about current pain points and what they wanted from their experiences. Participants mentioned they’d like faster and more convenient shopping trips and consistently brought up the waiting times associated with the previous cart audits as a primary downside.  Now, computer-vision cameras and digital technologies work in the background to check that cart contents match a customer’s payment records. This high-tech approach aligns with the company’s other improvements, such as its Scan & Go offering, which allows people to bypass the traditional checkout process when buying their items. The market value for AI products in retail was approximately $5 billion in 2023, and it’s expected to grow. Decision-makers are even more likely to reap the benefits if they do as Sam’s Club leaders did and gather customer feedback. 2. Curbing Potentially Harmful Employee Preferentiality Most people think of customers as the main people behind retail theft, but workers can exacerbate the problem, too. Sometimes, they might slip small items into their pockets during slow periods, believing no one will notice and they will never get caught. The circumstances can also become more complicated. One example is what some in the retail industry call “sweethearting.” It happens when employees give discounts or free items to friends or relatives. One tech company, Corsight AI, began offering AI technology to detect such interactions. More specifically, it spots unusual behavior by analyzing how close customers stand to employees. Because the tool tracks engagements over time, it can also determine if specific shoppers keep going to the same employee’s cash register or otherwise show a preference. The system flags unusual behaviors to the relevant store decision-makers, letting them decide whether to act. Critics have pointed out that regularly engaging with the same employees when shopping at a store doesn’t necessarily mean anything suspicious. Perhaps a customer appreciates a worker’s friendliness, efficiency or product knowledge, causing them to naturally interact when opportunities arise. However, increasing theft problems have caused some retail leaders to scrutinize things they might have previously ignored. That is particularly true for retailers selling high-value items. For example, jewelry companies’ crime-related losses exceeded $129 million in 2022. These retailers usually have high-tech security systems, but those defenses probably won’t catch occasional instances of store workers offering unusually generous discounts. AI tools might. 3. Providing Better Awareness Although circumstances vary, some potential shoplifters target locations before attempting to steal things. During each visit, they gather information such as the number of workers in the store at particular times, whether certain departments or products have dedicated security measures and the locations of entrances and exits. Someone who goes to a well-staffed store, notices numerous security cameras and sees how employees seem continually aware of their surroundings may decide against proceeding with theft attempt plans. Conversely, stores that seem virtually deserted and feature few or no visible security cameras are much more appealing to would-be thieves. Because AI products can work in the background and detect unusual occurrences, they help loss prevention officers and others become more aware of what happens in individual stores. For example, Everseen creates AI tech that can be used to help reduce self-checkout theft. Part of its approach involves processing footage from ceiling-mounted cameras, often gathering tens of millions of customer interactions daily. Another helpful aspect of the technology is that it can scan shelves to determine when specific products are almost out of stock. Additionally, retail leaders can use this product to get near-real-time analytics about what’s happening in a store and receive prompts about handling certain situations. For example, if the AI spots a frustrated customer, it might prompt a worker to engage with them to learn what’s wrong. Many retailers already use artificial intelligence creatively by incorporating it into their demand-planning processes. For example, automating supply chain activities could reduce costs by as much as 10%, making that goal a worthy pursuit for cost-conscious parties. In any case, improved awareness provided by specialty tech products could help retailers manage theft. 4. Analyzing Shoppers’ Gestures Although many retailers use facial recognition technologies, some consumers dislike the perceived lack of privacy. An AI alternative is potentially less invasive because it does not analyze people’s appearance, but rather whether they make suspicious movements commonly linked to theft. Wild Duck Wine & Spirits in Boston uses an AI product from company Veesion on all 24 of its security camera feeds. The technology checks shoppers’ gestures to see if they match those frequently used during shoplifting. For example, someone might try to conceal something in a clothing pocket. Another “red flag” occurs when people hide items in baby strollers. Finally, people may eat or drink while shopping, potentially consuming what they have not paid for yet. If the AI spots something specific, it alerts workers approximately 15 seconds later, providing a video clip of the event. Those employees can then choose whether to confront the person or see if they try to skip the checkout counter. A representative from the AI company explained that this solution is about more than stopping people from stealing single items. It sends them a message that they should not try to repeat their actions because they’ll get caught. Minimizing Theft in Retail These fascinating examples show how AI can help store managers, loss prevention officers and other responsible parties reduce the frequency of theft in their locations. Choosing the appropriate tools and learning how to use them properly is crucial for success. Black Friday is nearly here, which means customers will be swarming stores to snag the best deals — and retailers will be bracing for the corresponding boost in thefts. But even aside from the Black Friday bump, theft is a growing problem for many retailers. How could AI reduce the risk? Black Friday is nearly here, which means customers will be swarming stores to snag the best deals — and retailers will be bracing for the corresponding boost in thefts. But even aside from the Black Friday bump, theft is a growing problem for many retailers. How could AI reduce the risk? 1. Enabling Automatic Cart Audits 1. Enabling Automatic Cart Audits Some retailers have employees standing near store exits to check shoppers’ receipts as they leave, verifying that the list of items matches their cart contents. However, this process often becomes cumbersome during busy periods, requiring people to wait in lines. Leaders at Sam’s Club believe AI can do the task faster. As of April 2024, more than 120 locations used AI exit scanning technology, and the overall figure matched executives’ goal of adding AI to 20% of its stores by the end of the first quarter. Sam’s Club represents the largest deployment of such customer-facing technology in the retail industry. Customers who engage with it can leave stores 23% faster , and internal data shows more than 50% of shoppers use it. Notably, before rolling out this solution, Sam’s Club employees got feedback from customers about current pain points and what they wanted from their experiences. leave stores 23% faster leave stores 23% faster Participants mentioned they’d like faster and more convenient shopping trips and consistently brought up the waiting times associated with the previous cart audits as a primary downside.  Now, computer-vision cameras and digital technologies work in the background to check that cart contents match a customer’s payment records. This high-tech approach aligns with the company’s other improvements, such as its Scan & Go offering, which allows people to bypass the traditional checkout process when buying their items. The market value for AI products in retail was approximately $5 billion in 2023 , and it’s expected to grow. Decision-makers are even more likely to reap the benefits if they do as Sam’s Club leaders did and gather customer feedback. approximately $5 billion in 2023 approximately $5 billion in 2023 2. Curbing Potentially Harmful Employee Preferentiality Most people think of customers as the main people behind retail theft, but workers can exacerbate the problem, too. Sometimes, they might slip small items into their pockets during slow periods, believing no one will notice and they will never get caught. The circumstances can also become more complicated. One example is what some in the retail industry call “sweethearting.” It happens when employees give discounts or free items to friends or relatives. One tech company, Corsight AI, began offering AI technology to detect such interactions. More specifically, it spots unusual behavior by analyzing how close customers stand to employees. Because the tool tracks engagements over time, it can also determine if specific shoppers keep going to the same employee’s cash register or otherwise show a preference. The system flags unusual behaviors to the relevant store decision-makers, letting them decide whether to act. spots unusual behavior spots unusual behavior Critics have pointed out that regularly engaging with the same employees when shopping at a store doesn’t necessarily mean anything suspicious. Perhaps a customer appreciates a worker’s friendliness, efficiency or product knowledge, causing them to naturally interact when opportunities arise. However, increasing theft problems have caused some retail leaders to scrutinize things they might have previously ignored. That is particularly true for retailers selling high-value items. For example, jewelry companies’ crime-related losses exceeded $129 million in 2022. These retailers usually have high-tech security systems, but those defenses probably won’t catch occasional instances of store workers offering unusually generous discounts. AI tools might. 3. Providing Better Awareness Although circumstances vary, some potential shoplifters target locations before attempting to steal things. During each visit, they gather information such as the number of workers in the store at particular times, whether certain departments or products have dedicated security measures and the locations of entrances and exits. Someone who goes to a well-staffed store, notices numerous security cameras and sees how employees seem continually aware of their surroundings may decide against proceeding with theft attempt plans. Conversely, stores that seem virtually deserted and feature few or no visible security cameras are much more appealing to would-be thieves. Because AI products can work in the background and detect unusual occurrences, they help loss prevention officers and others become more aware of what happens in individual stores. For example, Everseen creates AI tech that can be used to help reduce self-checkout theft. Part of its approach involves processing footage from ceiling-mounted cameras, often gathering tens of millions of customer interactions daily. Another helpful aspect of the technology is that it can scan shelves to determine when specific products are almost out of stock. Additionally, retail leaders can use this product to get near-real-time analytics about what’s happening in a store and receive prompts about handling certain situations. For example, if the AI spots a frustrated customer, it might prompt a worker to engage with them to learn what’s wrong. Many retailers already use artificial intelligence creatively by incorporating it into their demand-planning processes. For example, automating supply chain activities could reduce costs by as much as 10% , making that goal a worthy pursuit for cost-conscious parties. In any case, improved awareness provided by specialty tech products could help retailers manage theft. by as much as 10% by as much as 10% 4. Analyzing Shoppers’ Gestures Although many retailers use facial recognition technologies, some consumers dislike the perceived lack of privacy. An AI alternative is potentially less invasive because it does not analyze people’s appearance, but rather whether they make suspicious movements commonly linked to theft. Wild Duck Wine & Spirits in Boston uses an AI product from company Veesion on all 24 of its security camera feeds. The technology checks shoppers’ gestures to see if they match those frequently used during shoplifting. For example, someone might try to conceal something in a clothing pocket. Another “red flag” occurs when people hide items in baby strollers. Finally, people may eat or drink while shopping, potentially consuming what they have not paid for yet. If the AI spots something specific, it alerts workers approximately 15 seconds later , providing a video clip of the event. Those employees can then choose whether to confront the person or see if they try to skip the checkout counter. approximately 15 seconds later approximately 15 seconds later A representative from the AI company explained that this solution is about more than stopping people from stealing single items. It sends them a message that they should not try to repeat their actions because they’ll get caught. Minimizing Theft in Retail These fascinating examples show how AI can help store managers, loss prevention officers and other responsible parties reduce the frequency of theft in their locations. Choosing the appropriate tools and learning how to use them properly is crucial for success.

With Black Friday Coming Up, Retailers Are Better Off Using AI to Combat Theft

#AI-chatbot Writing Contest Sponsor, Coze, Shares Secrets for Success as Contest Deadline Approaches

Coze, спонсар пісьменніцкага конкурсу #AI-chatbot, дзеліцца сакрэтамі поспеху па меры набліжэння дэдлайну конкурсу

#AI-chatbot Sponzor takmičenja u pisanju, Coze, dijeli tajne uspjeha kako se približava rok za takmičenje

El patrocinador del concurso de redacción de chatbots con inteligencia artificial, Coze, comparte sus secretos para el éxito a medida que se acerca la fecha límite del concurso

ربات #AI-chat Writing حامی مسابقه، Coze، اسرار موفقیت را با نزدیک شدن به آخرین مهلت مسابقه به اشتراک می گذارد

#AI-chatbot patwone konkou ekriti, Coze, pataje sekrè pou siksè pandan dat limit konkou a ap apwoche

#AI-chatbot íróverseny szponzora, Coze, megosztja a siker titkait a verseny határidejének közeledtével

#AI チャットボット ライティング コンテストのスポンサー Coze が、コンテストの締め切りが近づく中、成功の秘訣を披露

#AI-챗봇 글쓰기 대회 스폰서, 코즈, 대회 마감일이 다가오면서 성공 비결 공유

#AI-chatbot Sponsor al concursului de scriere, Coze, împărtășește secretele succesului pe măsură ce se apropie termenul limită al concursului

Спонсор письменницького конкурсу #AI-chatbot Coze ділиться секретами успіху з наближенням дедлайну конкурсу

Nhà tài trợ cuộc thi viết #AI-chatbot, Coze, chia sẻ bí quyết thành công khi thời hạn cuộc thi đang đến gần

#AI 聊天机器人写作比赛赞助商 Coze 在比赛截止日期临近之际分享成功秘诀

How to Build and Deploy a Decentralized Crowdfunding Smart Contract on the Linea Blockchain

GEORGE TOWN, Grand Cayman, November 22nd, 2024/Chainwire/--Zircuit, the chain where innovation meets security, today announced its ZRC Token Launch on Monday, November 25th—a key step in building a thriving, decentralized ecosystem. ZRC serves as the foundation of Zircuit’s architecture, enabling participants to receive additional rewards, participate in network app fair launches, and drive its growth. As the ecosystem’s cornerstone, ZRC aligns incentives across developers and users, fostering active collaboration and innovation. The ZRC launch follows a series of notable achievements for Zircuit, including the successful rollout of Mainnet, a $2 billion TVL ecosystem, the groundbreaking EIGEN fairdrop with over 190,000 participants, the liquidity hub launch, and strategic investment from Binance Labs, Pantera, and other strategic partners. Together, these milestones underscore Zircuit’s position as a leader in decentralized finance and staking. “The ZRC token is more than a milestone; it’s a gateway to the decentralized future we’ve been building at Zircuit,” said Martin Derka, co-founder of Zircuit. “By aligning incentives across our ecosystem, ZRC empowers developers and users to shape the network collaboratively.” Designed with transparency and accessibility in mind, the ZRC Token Launch ensures participants can seamlessly engage with staking partners through Seasons 1-3 of Zircuit’s ecosystem. This includes staking through the Liquidity Hub, offering the potential to earn rewards. Zircuit protects users from hacks through its built-in, automated AI techniques that guard users against smart contract exploits and malicious actors. This system automatically guards against smart contract exploits and malicious actors, making Zircuit one of the safest blockchain platforms available. As the safest chain for DeFi and staking, Zircuit is the premier liquidity hub for various assets, including ETH, BTC, LSTs, and LRTs, while providing robust security guarantees. Zircuit’s strong infrastructure allows users to earn competitive yields natively, combining safety with attractive returns. Users can explore the ZRC token’s role in Zircuit’s ecosystem by engaging with staking and reward opportunities through the Liquidity Hub. For more information, users can visit zircuit.com and follow Zircuit on Twitter/X at @ZircuitL2. About Zircuit Zircuit: Where innovation meets security, designed for everyone. Zircuit offers developers powerful features while giving users peace of mind. Designed by a team of web3 security veterans and PhDs, Zircuit combines high performance with unmatched security. Experience the safest chain for DeFi and staking. To learn more about Zircuit, visit zircuit.com, and follow us on Twitter/X @ZircuitL2. Contact Head of Communications Jennifer Zheng Zircuit jen@zircuit.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here GEORGE TOWN, Grand Cayman, November 22nd, 2024/Chainwire/--Zircuit, the chain where innovation meets security, today announced its ZRC Token Launch on Monday, November 25th—a key step in building a thriving, decentralized ecosystem. ZRC serves as the foundation of Zircuit’s architecture, enabling participants to receive additional rewards, participate in network app fair launches, and drive its growth. As the ecosystem’s cornerstone, ZRC aligns incentives across developers and users, fostering active collaboration and innovation. The ZRC launch follows a series of notable achievements for Zircuit, including the successful rollout of Mainnet, a $2 billion TVL ecosystem, the groundbreaking EIGEN fairdrop with over 190,000 participants, the liquidity hub launch, and strategic investment from Binance Labs, Pantera, and other strategic partners. Together, these milestones underscore Zircuit’s position as a leader in decentralized finance and staking. “The ZRC token is more than a milestone; it’s a gateway to the decentralized future we’ve been building at Zircuit,” said Martin Derka, co-founder of Zircuit. “By aligning incentives across our ecosystem, ZRC empowers developers and users to shape the network collaboratively.” “The ZRC token is more than a milestone; it’s a gateway to the decentralized future we’ve been building at Zircuit,” said Martin Derka, co-founder of Zircuit. “By aligning incentives across our ecosystem, ZRC empowers developers and users to shape the network collaboratively.” Designed with transparency and accessibility in mind, the ZRC Token Launch ensures participants can seamlessly engage with staking partners through Seasons 1-3 of Zircuit’s ecosystem. This includes staking through the Liquidity Hub, offering the potential to earn rewards. Zircuit protects users from hacks through its built-in, automated AI techniques that guard users against smart contract exploits and malicious actors. This system automatically guards against smart contract exploits and malicious actors, making Zircuit one of the safest blockchain platforms available. As the safest chain for DeFi and staking, Zircuit is the premier liquidity hub for various assets, including ETH, BTC, LSTs, and LRTs, while providing robust security guarantees. Zircuit’s strong infrastructure allows users to earn competitive yields natively, combining safety with attractive returns. Users can explore the ZRC token’s role in Zircuit’s ecosystem by engaging with staking and reward opportunities through the Liquidity Hub . For more information, users can visit zircuit.com and follow Zircuit on Twitter/X at @ZircuitL2 . Liquidity Hub Liquidity Hub zircuit.com zircuit.com @ZircuitL2 @ZircuitL2 About Zircuit Zircuit: Where innovation meets security, designed for everyone. Zircuit offers developers powerful features while giving users peace of mind. Designed by a team of web3 security veterans and PhDs, Zircuit combines high performance with unmatched security. Experience the safest chain for DeFi and staking. To learn more about Zircuit, visit zircuit.com , and follow us on Twitter/X @ZircuitL2 . zircuit.com zircuit.com @ZircuitL2 @ZircuitL2 Contact Head of Communications Jennifer Zheng Zircuit jen@zircuit.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Zircuit Launches ZRC Token: Pioneering The Next Era Of Decentralized Finance

Zircuit, ZRC Tokenini işə salır: Mərkəzləşdirilməmiş Maliyyənin Növbəti Erasının Pioneri

Zircuit пуска ZRC токен: Пионер в следващата ера на децентрализираните финанси

Zircuit lanza el token ZRC: pionero de la próxima era de las finanzas descentralizadas

Zircuit julkaisee ZRC Tokenin: Hajautetun rahoituksen seuraavan aikakauden uraauurtava

Zircuit lanza o token ZRC: pioneiro na próxima era das finanzas descentralizadas

ज़िरकुइट ने ZRC टोकन लॉन्च किया: विकेंद्रीकृत वित्त के अगले युग की शुरुआत

Zircuit が ZRC トークンをリリース: 分散型金融の次世代を切り開く

Zircuit dia namoaka ZRC Token: Mpisava lalana amin'ny vanim-potoana manaraka amin'ny fitantanam-bola

Zircuit wprowadza token ZRC: pionier nowej ery zdecentralizowanych finansów

Zircuit uvádza na trh ZRC Token: Priekopník ďalšej éry decentralizovaných financií

Inilunsad ng Zircuit ang ZRC Token: Pangunguna sa Susunod na Panahon ng Desentralisadong Pananalapi

Zircuit, ZRC Token'ı Piyasaya Sürüyor: Merkezi Olmayan Finansın Yeni Dönemine Öncülük Ediyor

Running Cisco pyATS on Windows 11 Really Helped Me Brush Up My Python Fundamentals

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