The Atlas Corporation is an American investment firm that was formed in 1928. Atlas invested in and managed a number of major US companies during the 20th century and has a number of investments in natural resources.

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Atlas News - Official Atlas Community

Atlas Corp. (NYSE: ATCO) is a leading global asset management company, differentiated by its position as a best-in-class owner and operator with a focus on deploying capital to create sustainable shareholder value.

Homepage - Atlas Corporation

Atlas guides companies on their growth journeys with software and solutions that enable global talent management. | Atlas enables innovative companies to compete in a global economy, believing that businesses should employ whomever they want, wherever the talent exists.

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Explore Atlas Holdings&#x27; family of companies in automotive, energy, logistics, metals, and other industries worldwide.

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Since Atlas’ founding, the core principles of ESG have been and remain fully embedded in our culture. Fundamentally, we believe attention to good ESG practices is good business. ... Veritas&#x27; opportunities were featured in the local paper in Eau Claire, WI, where the company operates one of ...

Atlas Holdings » Transforming Businesses into Performance ...

Atlas, a project delivery management firm provides comprehensive support in managing large-scale infrastructure improvement programs.

Atlas: Environmental and Infrastructure

Atlas levels the playing field by allowing smaller companies to access premium life, medical, and travel insurance packages like those usually only offered by top employers. ... Directly sponsoring work and business visas creating a streamlined immigration experience. ... Download your free copy of our Employer of Record Handbook and find out how Atlas ...

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The Atlas Companies are distributors of commercial building construction materials. Our clientele include business owners and general contractors throughout the United States. We specialize in education, healthcare, military facilities, and general commercial construction.

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After processing around 30,000 startups and more than 600,000 votes, the curtain has closed on . Thank you all for changing the world one product/service at a time. Startups Of The Year 2023 We’re excited to announce the Startups of the Year across Africa! Africa is a continent of vast diversity, home to 54 countries with rich cultures, landscapes, and a rapidly evolving economy. In recent years, Africa has emerged as a dynamic player in the global startup ecosystem, showcasing a vibrant and entrepreneurial spirit. The continent is experiencing a surge in tech-driven initiatives, fueled by a young and growing population, increased access to technology, and a rising middle class. Key Stats Total Number of Participating Startups: 831 Total Number of Cities Represented: 129 Total Number of Votes cast: 13696 Winning Startups: 71 To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. Note: startups.hackernoon.com Now, drumroll, please!!! Here are the Startups of the Year in Africa Enugu, Nigeria The Startup of the Year in Enugu is Superday with 57 votes! 🎉 Superday provides accountability tools for online learning. Addis Ababa, Ethiopia This year’s top Startup in Addis Ababa is Sabi with 28 votes! 🎉 Sabi provides affordable and vetted tech talent sourced from Africa to startups and businesses. Algiers, Algeria Go Platform emerged as Startup of the Year in Algiers with 8179 votes!🎉 GO PLATFORM is a Recruitment Process Outsourcing SaaS solution, it’s a two-sided marketplace for digital talent. Ondo, Nigeria Beepo is Startup of the Year in Ondo with 76 votes!🎉 Beepo offers intuitive solutions to Africa’s growing blockchain industry. Ariana, Ariana Governorate, Tunisia The Startup of the Year in Ariana is Work Point with 4 votes!🎉 Workpoint offers solutions in the HRTech Industry Cairo, Egypt AbuEran is the Startup of the Year in Cairo after getting 34 votes!🎉 AbuEran is a poultry management solution that empowers poultry companies with AI to maximize production and reduce waste. Uyo, Akwa Ibom, Nigeria LINK IO is the top Startup in Uyo with 4 votes!🎉 LINK allows users around the world to receive cash fast and cheaply from Africa. Accra, Ghana Tudu claims the Startup crown in Accra with 767 votes!🎉 Tudu helps online sellers and buyers transact with confidence. Lagos, Nigeria Treford is the king of the hill in Lagos with 415 votes!🎉 Treford is an EdTech startup focused on helping professionals and businesses in Africa gain no-code tech skills. Buea, Southwest, Cameroon The Startup of the Year badge for Buea, Southwest, Cameroon goes to Klarah with 4 votes!🎉 Klarah is in the Healthcare IT Industry. Kingston, St Andrew Parish, Jamaica HummingBird is the top Startup in Kingston, St Andrew Parish, Jamaica after garnering 4 votes!🎉 HummingBird is in the HRTech Industry Dar es Salaam, Tanzania KaziConnect is the top Startup in Dar es Salaam after garnering 5 votes!🎉 KaziConnect is in the HRTech Industry. Cape Town, South Africa Dimagi is Cape Town’s Startup of the Year with 31 votes!🎉 Dimagi is a social enterprise that powers impactful frontline work through scalable digital solutions and services. Lekki, Nigeria Lekki’s Startup of the Year is Eazipay with 4 votes!🎉 Eazipay provides solutions in the HRTech Industry. Kano, Nigeria In Kano, Insigning is the Startup of the Year with 4 votes!🎉 Insigning offers services in the MarketingTech Industry. Giza, Egypt The Startup of the Year in Giza is CirclePay with 13 votes!🎉 CirclePay provides services in the Payments Industry Minna, Niger, Nigeria Timart Business App is the Startup of the Year in Minna with 2 votes!🎉 Timart Business App serves the Enterprise Resource Planning Industry. Victoria, Seychelles The Startup of the Year in Victoria is StorX with 4 votes!🎉 StorX does exciting work in the Enterprise Storage Industry. Agadir, Souss Massa, Morocco Atela is the top Startup in Agadir, Souss Massa with 4 votes!🎉 Atela services the Investment Tech Industry. Casablanca, Morocco Invoiless is the top Startup in Casablanca, Morroco with 15 votes!🎉 Invoiless is in the Finance-Accounting Tech Industry Free State, South Africa Africarare ended the year as the top Startup in Free State with 4 votes!🎉 Africarare is in the Virtual Reality Industry. Dakar, Senegal The Startup of the Year in Dakar is Paps with 4 votes!🎉 Paps provides services in the Logistics Tech Industry. Ogbomosho, Oyo, Nigeria Phalconwise is the Startup of the Year in Ogbomosho with 265 votes!🎉 Phalconwise offers Banking Tech services. Johannesburg, South Africa The Startup of the Year in Johannesburg is MobileGPT with 127 votes! 🎉 MobileGPT is an innovative AI-driven service designed to enhance your WhatsApp experience by seamlessly integrating the cutting-edge GPT technology from OpenAI. Abuja, Nigeria Our Haven emerged as Startup of the Year in Abuja with 119 votes! 🎉 Our Haven is a tech-enabled platform that allows customers to pass on their tedious everyday chores and household needs to us while they focus on more important things. Nairobi, Kenya The top Startup in Nairobi is ProStudy, amassing 90 votes! 🎉 Prostudy provides services in the K-12 EdTech Industry. Ikeja, Nigeria Legalforms.ng is the Startup of the Year in Ikeja with 17 votes! 🎉 Legalforms.ng is in the Legal Tech Industry. Harare, Zimbabwe YoApp ended the year as the top Startup in Harare with 13 votes! 🎉 YoApp is in the Customer Success Management Industry. Durban, KwaZulu Natal, South Africa The Startup of the Year in Durban is Nova DT with 11 votes! 🎉 Nova DT shines in the Logistics Tech Industry. Ikorodu, Lagos, Nigeria Ikorodu’s Startup of the Year is Infonaira with 11 votes! 🎉 Infonaira provides services in the HRTech Industry. Oran, Oran Province, Algeria In Oran, Scan Docs is the Startup of the Year with 11 votes! 🎉 Scan Docs is in the Digital Transaction Management Industry. Asaba, Delta, Nigeria The Startup of the Year in Asaba is Contactless Biz Card with 4 votes!🎉 Contactless Biz Card is in the Sales Force Automation Industry. Federal Capital Territory, Nigeria Envoicify emerged as the Startup of the Year in the FCT with 4 votes! 🎉 Envoicify is in the SCM Software Industry. Marrakesh, Marrakesh-Safi, Morocco The Startup of the Year in Marrakesh is Tidar with 4 votes! 🎉 Tidar is in the Events Tech Industry. Mogadishu, Banaadir, Somalia Mogadishu’s Startup of the Year is Hassildesk with 4 votes!🎉 Hassildesk is in the Online Travel Industry. Stellenbosch, Western Cape, South Africa Scout is Startup of the Year in Stellenbosch with 4 votes! 🎉 Scout is in the MarketingTech Industry. Tema, Greater Accra Region, Ghana Tema crowns Nulave Startup of the Year with 4 votes! 🎉 Nulave is in the Local Services Industry. Western Cape, South Africa The Startup of the Year in Western Cape is Mobitrax with 4 votes!🎉 Mobitrax is in the IoT Applications Industry. Port Harcourt, Nigeria Secentry is the Startup of the Year in Port Harcourt with 3 votes! 🎉 Secentry is in the Facility Management Tech Industry. Tangier, Tanger Tetouan Al Hoceima, Morocco ALLO GPS is the Startup of the Year in Tangier with 3 votes! 🎉 ALLO GPS offers services in the Logistics Tech Industry. Greater Accra Region, Ghana MakeWeHelp takes home the Gold in the Greater Accra Region with 2 votes!🎉 MakeWeHelp provides services in the Nonprofit Tech Industry. Ibadan, Oyo, Nigeria In Ibadan, HealthStack Solution is top of the pile with 2 votes!🎉 HealthStack Solution is in the Healthcare IT Industry Ilorin, Kwara, Nigeria EDX is the top Startup in Illorin with 2 votes! 🎉 EDX pioneers in the Healthcare IT Industry. Kaduna, Nigeria Global Care takes the cake in Kaduna with 2 votes!🎉 Global Care is in the Healthcare IT Industry Lome, Maritime Region, Togo Of all the startups in Lome, Rafset Funding came out top with 2 votes!🎉 Rafset Funding is in the Nonprofit Tech Industry. Nairobi County, Kenya Book Kinda beat other startups in Nairobi County for the crown with 2 votes!🎉 Book Kinda is in the SME Business Management Software Industry. Osogbo, Osun, Nigeria FinPadi scoops the victory with Osogbo with 2 votes!🎉 FinPadi services the Payments Industry. Tunis, Tunisia The Startup of the Year in Tunis is Bravvo with 2 votes!🎉 Bravvo is in the Enterprise Collaboration Industry. Freetown, Western Area, Sierra Leone Smart Systems stands at the top of the podium in Freetown with 6 votes!🎉 Smart Systems offers services in the Payments Industry. Gauteng, South Africa Gauteng dubs faceATT Startup of the Year with 39 votes!🎉 faceATT provides services in the Computer Vision Industry. Lusaka, Lusaka Province, Zambia Zipangile is the Startup of the Year in Lusaka with 24 votes!🎉 Zipangile works in the Application Development Tools Industry. Douala, Littoral, Cameroon Postpoint is the Startup of the Year in Douala with 12 votes!🎉 Postpoint helps you find, share, and accurately indicate a location with our innovative digital address solution. Congratulations y’all. We will contact you with details on your winnings! See the global and other regional announcements . here About HackerNoon’s Startups Of The Year Startups of The Year is HackerNoon’s Flagship community-driven event celebrating startups that survived and thrived in 2023. 30,000 startups across 4200+ cities and six continents participated in 2023 to be crowned the best startup in their city. Visit our page to learn more. FAQ Companies that blog more get 67% more leads - Jumpstart your company’s blogging journey by purchasing our . Business Blogging Package The 2023 Startups Of The Year is sponsored by: . . The winners will get a free .Tech Domain, a HackerNoon NFT, and a Tech Company News Page. TECH Domains

Startups of the Year 2023: Africa Winners

Next-Gen FHE Toolchains for the Dev Multiverse: How TFHE Is Taking Us There

দেব মাল্টিভার্সের জন্য নেক্সট-জেন এফএইচই টুলচেইন: হাউ টিএফএইচই আমাদের সেখানে নিয়ে যাচ্ছে

FHE-Toolchains der nächsten Generation für das Dev-Multiversum: Wie TFHE uns dorthin bringt

Cadenas de herramientas FHE de próxima generación para el multiverso de desarrollo: cómo TFHE nos lleva allí

Chaînes d'outils FHE de nouvelle génération pour le multivers de développement : comment TFHE nous y emmène

देव मल्टीवर्स के लिए अगली पीढ़ी के FHE टूलचेन: TFHE हमें वहां कैसे ले जा रहा है

開発マルチバース向けの次世代 FHE ツールチェーン: TFHE が私たちをそこへ導く方法

Dev Multiverse를 위한 차세대 FHE 툴체인: TFHE가 우리를 그곳으로 데려가는 방법

Conjuntos de ferramentas FHE de última geração para o multiverso de desenvolvimento: como o TFHE está nos levando até lá

Инструментальные цепочки нового поколения FHE для мультивселенной разработчиков: как TFHE ведет нас туда

Dev Multiverse için Yeni Nesil FHE Araç Zincirleri: TFHE Bizi Oraya Nasıl Götürüyor?

Chuỗi công cụ FHE thế hệ tiếp theo dành cho Đa vũ trụ Dev: TFHE đang đưa chúng ta đến đó như thế nào

面向 Dev Multiverse 的下一代 FHE 工具链：TFHE 如何带领我们实现这一目标

https://hackernoon.com/startups/north-america/north-america-atlanta-ga-usa https://hackernoon.com/startups/north-america/north-america-atlanta-ga-usa https://hackernoon.com/startups/north-america/north-america-atlanta-ga-usa Tell us about you. We are an early-stage AI-SaaS startup on a mission to transform global software delivery through Agentic AI automation. transform global software delivery through Agentic AI automation Our flagship AI-powered platform- Globl.ai provides access to software, AI agents and top-tier global talent that helps speed software delivery, reduces software development costs, improves code quality and boosts talent retention. Globl.ai Globl.ai Our platform Globl.ai enables global software development teams to: Globl.ai Optimize Stand up meetings/daily updates
Automate Sprint Planning/Retros/requirements
Gain intelligent insights into software delivery
Simplify SAFE-PI Planning/dependency management
Reduce incident resolution time Optimize Stand up meetings/daily updates Automate Sprint Planning/Retros/requirements Gain intelligent insights into software delivery Simplify SAFE-PI Planning/dependency management Reduce incident resolution time Globl.ai also provides access to pre-vetted top-tier global talent through our global partner network. Globl.ai pre-vetted top-tier global talent Tell us how your startup is changing the world. Through our platform Globl.ai- we are enabling a borderless business world, where companies in developed nations can not only tap into top-tier global talent but also ensure success of their initiatives by leveraging our AI-powered tools bundled into our talent offerings. Globl.ai borderless business world Our platform significantly reduces impact of traditional barriers in leveraging global teams such as Time-Zone differences, Language barriers and cultural differences by leveraging the power of artificial intelligence (AI). This leads to greater adoption of global talent for critical initiatives resulting in improved economic opportunities for talent in developing nations while simultaneously boosting gdp growth for developing nations by enabling small and medium IT enterprises in emerging economies to improve their chances of success on a global scale. The organizations in developed nations gain as well through improved revenues and profits through innovation enabled by leveraging the global team. global teams such as Time-Zone differences, Language barriers and cultural differences artificial intelligence (AI) Our impact is directly aligned with UN Sustainable development goal (SDG) #8- Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. UN Sustainable development goal (SDG) #8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. Our long-term plans include extending the platform to support a wider breadth of global business services (GBS) functions which will 100X our economic opportunity creation impact on the world. global business services (GBS) What sets you apart from the competition? Software development is a complex endeavor. Add a globally distributed technology team to the mix and we are now looking at a 10X complexity. While many vendors offer “Agile Project Management”, “Code Co-Pilots”, “Software Intelligence” and “Talent Platforms” as siloed offerings, we are the only platform to offer an integrated solution focused exclusively on global software delivery. integrated solution focused exclusively on global software delivery We take an agentic approach to address barriers such as Time zone/Language/Culture differences resulting in a smooth experience in leveraging a global software team. agentic approach What does it mean for you to win this title? We are thrilled to be nominated as a top-startup in our hometown city, Atlanta, GA. As a top-tier technology hub, Atlanta, Georgia is an exciting place to build technology startups given the breadth of affordable talent available and easy access to global markets. hometown city, Atlanta, GA We are truly honored to be recognized as a top-startup in Atlanta and contribute to this growing top-notch US startup hub. What do you love about your team, and why are you the ones to set out for this mission? As a platform designed to optimize global software delivery, we are ourselves a globally distributed team. Our top-notch global team is also fascinatingly a consumer of our own product- so our customer discovery often begins with thinking about “how can we improve our own operations”? Our leadership team and board of advisors have decades of experience in the technology industry with significant first-hand experience in leading global software delivery and managing business operations in multiple global locations. decades of experience In addition, Founder, CEO, Vik kasturi experienced the challenges in global software delivery first hand while operating his first venture Digitivy, that offered IT services to clients in North America via global software teams located in India and LATAM. CEO, Vik kasturi Vik kasturi Digitivy Looking back, what milestone was the biggest turning point for your startup? An interaction with a prospect at our first major tech conference was eye opening. Their comments around how they currently deal with challenging work-life balance due to time-zone differences when working with their offshore team and how overall productivity isn’t optimal due to all the manual follow ups and inefficiencies introduced due to the various hand-offs across global team members helped confirm our hypothesis around addressing the problem in our niche focus area- Optimizing software delivery for globally distributed teams.  Our pilot users have further shared similar challenges strengthening our belief in our solution hypothesis for Globl.ai. What’s one valuable lesson you learned this year that you’d pass on to other startups? Building a community around the problem domain/mission early on is immensely helpful. Our community Agiler.ai focuses on individuals passionate about achieving optimal global agile delivery. Building community is useful to learn more about what your ideal customer profile (ICP) users are looking for, validate the pain points you are solving for and most importantly it serves as a great forum to share your knowledge and expertise that can help your ICP users in their current initiatives. Agiler.ai How do you envision your industry evolving in the coming years, and how will your startup stay ahead? We envision a future where global software delivery and global business services (GBS) will be predominantly fulfilled through a mix of Agentic AI solutions and global human talent. We are well poised to address this evolution through our platform Globl.ai which is purpose built for human-ai collaboration on a global scale. Globl.ai human-ai collaboration How do you or your company intend to embrace the responsibility of this title in 2025? We will be actively sharing our insights on venture building and trends we are witnessing in the AI/SaaS space to help our fellow founders. What goals are you looking forward to accomplishing in 2025? We are looking to build on our beta/pilot phase and add several Startups/SaaS/Service Providers who leverage globally distributed software development teams as paying customers. In addition, we anticipate building on our feature set to address requirements for enterprise user segment. 2024 has been crazy, with all the new techs, and all the geopolitics fluctuations. What are the impacts of these to your startup, and to your industry as a whole? Be as brief or as detailed as you like. Digital transformation requires access to top-technology talent. We expect the emergence of agentic ai capabilities will help enterprises do more with less. Also, we expect reduced availability of tech talent in markets such as North america due to immigration restrictions. Both trends align well with our product vision to enable seamless access to global tech talent while also providing tools to accelerate software delivery using agentic AI solutions. We would love your feedback on HackerNoon as a tech publication! How has your experience been with us? Hackernoon insights are a great source of knowledge for every professional in the technology industry. We have had a great experience as a startup participating in the Start of the year 2024 program and also as a reader of fantastic tech focused news/updates. Any words of wisdom you’d like to share with us? Keep hacking your way to success. About HackerNoon’s Startups of The Year
Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups.
The winners will get a free interview on HackerNoon and an Evergreen Tech Company Newspage.Visit our FAQ page to learn more.
Download our design assets here.Check out the Startups of the Year Merch Shop here.HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges.
Meet our sponsors:
Wellfound:. Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future.
Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now!
Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free.Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage.
Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. Startups of The Year 2024 many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company Newspage. free interview Evergreen Tech Company Newspage Visit our FAQ page to learn more. FAQ Download our design assets here. here Check out the Startups of the Year Merch Shop here. here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. startup-friendly packages Meet our sponsors: Meet our sponsors: Wellfound:. Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Hubspot: Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform

Meet Brilli Global, Inc (Globl.ai), Winner of Startups of The Year 2024 in Atlanta, Georgia

GROS ISLET, Saint Lucia – MIRAI, an innovative AI-powered metaverse platform, is revolutionizing how virtual worlds are conceptualized, built, and monetized. By leveraging advanced technologies, MIRAI aims to democratize metaverse creation and unlock untapped economic opportunities, paving the way for a new era in digital innovation. Core Features of MIRAI AI-Powered World-Building MIRAI eliminates the complexity of coding, making immersive virtual world creation accessible to all. Whether you're an experienced developer or a novice enthusiast, MIRAI empowers users to design and build captivating metaverse environments with ease. HyperGen™ TechnologyAt the forefront of MIRAI’s innovation lies HyperGen™, a proprietary Image and Text to 3D Model technology. By fusing cutting-edge machine learning and processing algorithms, HyperGen™ transforms user inputs into dynamic 3D models, seamlessly merging imagination with reality. Dynamic AI InteractionsMIRAI is building the Agentic Gaming Metaverse, which features AI Agents and NPCs that deliver unprecedented interactivity. These intelligent, autonomous entities provide lifelike responses, enhancing the depth and engagement of virtual experiences. Synthetic Derivative RWAs MIRAI empowers users to scan and integrate real-world assets (RWAs) as synthetic derivatives within the metaverse. These digital representations can be monetized, traded, and utilized in creative ways, unlocking endless possibilities for commerce and innovation. Shaping the Future of Virtual Worlds MIRAI envisions a future where real-world assets and virtual environments coexist in harmony. By fostering creativity and economic potential, the platform enables users to imagine, build, and monetize in ways previously unimaginable. Whether you are a developer, a creative visionary, or a business innovator, MIRAI opens the gateway to an expansive digital frontier. Explore MIRAI Today Take the first step toward building your own metaverse by visiting MIRAI’s website. Discover the transformative technologies redefining what’s possible in virtual worlds. About MIRAI MIRAI is a next-generation AI-driven metaverse platform designed to empower creators, developers, and businesses. With groundbreaking features like HyperGen™ Technology, AI-powered tools, and synthetic derivative capabilities, MIRAI is shaping the future of digital interaction and commerce. Visit MIRAI to explore its transformative features and take the first step toward building your metaverse: Website | Docs | Twitter | Public Telegram Media Contact: Mirai contact@mirai.build This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here GROS ISLET, Saint Lucia – MIRAI, an innovative AI-powered metaverse platform, is revolutionizing how virtual worlds are conceptualized, built, and monetized. By leveraging advanced technologies, MIRAI aims to democratize metaverse creation and unlock untapped economic opportunities, paving the way for a new era in digital innovation. Core Features of MIRAI AI-Powered World-Building AI-Powered World-Building MIRAI eliminates the complexity of coding, making immersive virtual world creation accessible to all. Whether you're an experienced developer or a novice enthusiast, MIRAI empowers users to design and build captivating metaverse environments with ease. HyperGen™ Technology At the forefront of MIRAI’s innovation lies HyperGen™, a proprietary Image and Text to 3D Model technology. By fusing cutting-edge machine learning and processing algorithms, HyperGen™ transforms user inputs into dynamic 3D models, seamlessly merging imagination with reality. Dynamic AI Interactions MIRAI is building the Agentic Gaming Metaverse, which features AI Agents and NPCs that deliver unprecedented interactivity. These intelligent, autonomous entities provide lifelike responses, enhancing the depth and engagement of virtual experiences. Synthetic Derivative RWAs Synthetic Derivative RWAs MIRAI empowers users to scan and integrate real-world assets (RWAs) as synthetic derivatives within the metaverse. These digital representations can be monetized, traded, and utilized in creative ways, unlocking endless possibilities for commerce and innovation. Shaping the Future of Virtual Worlds MIRAI envisions a future where real-world assets and virtual environments coexist in harmony. By fostering creativity and economic potential, the platform enables users to imagine, build, and monetize in ways previously unimaginable. Whether you are a developer, a creative visionary, or a business innovator, MIRAI opens the gateway to an expansive digital frontier. Explore MIRAI Today Take the first step toward building your own metaverse by visiting MIRAI’s website. Discover the transformative technologies redefining what’s possible in virtual worlds. About MIRAI MIRAI is a next-generation AI-driven metaverse platform designed to empower creators, developers, and businesses. With groundbreaking features like HyperGen™ Technology, AI-powered tools, and synthetic derivative capabilities, MIRAI is shaping the future of digital interaction and commerce. Visit MIRAI to explore its transformative features and take the first step toward building your metaverse: Website | Docs | Twitter | Public Telegram Website Website Docs Docs Twitter Twitter Public Telegram Public Telegram Media Contact: Mirai contact@mirai.build contact@mirai.build contact@mirai.build This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

The First AI Metaverse With Synthetic Derivative RWAs: Powered By AI Agents, HyperGen And Axelar

የመጀመሪያው AI Metaverse በሰው ሠራሽ RWAs፡ በ AI ወኪሎች፣ በሃይፐርጄን እና በአክሰላር የተጎለበተ

Sintetik törəmə RWA ilə ilk AI metaverse: AI agentləri, HyperGen və Axelar tərəfindən dəstəklənir

সিন্থেটিক ডেরিভেটিভ RWAs সহ প্রথম এআই মেটাভার্স: এআই এজেন্ট, হাইপারজেন এবং অ্যাক্সেলারের দ্বারা চালিত

Το πρώτο AI Metaverse με συνθετικά παράγωγα RWA: Τροφοδοτείται από πράκτορες AI, HyperGen και Axelar

El primer metaverso de IA con RWA derivados sintéticos: impulsado por agentes de IA, HyperGen y Axelar

Il primo metaverso di intelligenza artificiale con RWA derivati sintetici: alimentato da agenti di intelligenza artificiale, HyperGen e Axelar

合成派生 RWA を備えた初の AI メタバース: AI エージェント、HyperGen、Axelar を搭載

Синтетикалык туунду RWA менен биринчи AI метаверси: AI агенттери, HyperGen жана Axelar тарабынан иштейт

Yekutanga AI Metaverse Ine Synthetic Derivative RWAs: Inofambiswa neAI Agents, HyperGen Uye Axelar

Аввалин метаверси AI бо RWA-ҳои ҳосилшудаи синтетикӣ: аз ҷониби агентҳои AI, HyperGen ва Axelar дастгирӣ карда мешавад

Metaverse yo Sungula ya AI leyi nga na ti-RWA ta Synthetic Derivative: Yi Fambisiwa Hi Switirhisiwa swa AI, HyperGen Na Axelar

مصنوعی مشتق RWAs کے ساتھ پہلا AI Metaverse: AI ایجنٹوں، HyperGen اور Axelar کے ذریعے تقویت یافتہ

Imagine you're tasked with implementing a geo-fencing feature for your service. At first glance, dropping in an IP GeoLocation API might seem straightforward, but often, project constraints or requirements complicate the simplest solutions. Let's explore our options. Local GeoIP Database Implementation This method involves embedding a geolocation database directly within your application. It offers fast response times as it resides in-memory and operates independently of external services. However, this approach can be resource-intensive and harder to manage. Let’s see it in more detail. Pros Speed: IP lookups in milliseconds or less.
Reliability: No reliance on third-party services reduces failure chances.
Scalability: No extra costs as usage grows. Cons Resource Intensive: Each app instance consumes significant memory.
More Dependencies: Requires packages for decoding and looking up GeoIP data.
Challenging Updates: Updates require manual intervention or another self-hosted service. Using External GeoIP APIs (Often Paid) Opting for a third-party API to handle geolocation queries reduces your application's resource load and ensures access to the most current data, but it comes with its own challenges: Pros Minimal Resource Use: Outsourcing GeoIP data and logic doesn't burden your app's resources.
Ease of Implementation: Usually involves consuming a standard HTTP/GraphQL or gRPC API endpoint.
Fewer Dependencies: Often only requires an HTTP client.
Updates without hassle: Third-party will handle updates Cons Slower Responses: Calls to third-party services can introduce significant latency.
Increased Unreliability: Greater likelihood of failures due to network issues or third-party downtimes.
Scaling Costs: Costs can escalate as usage increases. Introducing Atlas: Combining the Best of Both Worlds Faced with these challenges, I developed Atlas—a robust solution designed to synergize the benefits of both approaches. Atlas acts as a self-hosting HTTP service that automatically manages and serves the latest MaxMind geolocation databases, providing: Low Latency: Similar to local databases, Atlas offers rapid response times. (often in a few milliseconds) Reliability and Ease of Updates: It autonomously handles database updates, removing the typical maintenance burdens. Cost Efficiency: No additional costs with scale in terms of third-party fees. Dead-Simple API: A very simple API that lets you implement quicker and focus on what matters. Open and Free: Atlas is Open Source and freely available under Apache-2.0 License. By hosting Atlas closer to your application but operating like a remote API, it offers a middle ground that maximizes efficiency without the drawbacks of either method we have discussed. Why Rust? Safe, Performant, and Resource-Efficient Atlas is written in Rust, a language chosen for its unparalleled safety, performance, and resource efficiency. Rust's ownership model ensures memory safety without the need for a garbage collector, which is particularly advantageous during database updates—these operations consume minimal memory, avoiding the typical overhead associated with garbage-collected languages. This design choice not only boosts Atlas's performance but also enhances its reliability, making it an ideal solution for managing GeoIP data efficiently and safely. How to Deploy and Use Atlas? Atlas Docker images are automatically built and pushed to Docker Hub via GitHub Actions, making it easy for anyone to use. For detailed instructions on using these Docker images or building Atlas from source and configuration parameters, please refer to the Atlas README.md. Atlas features a straightforward API, documented with OpenAPI 3.0 Specs. You can access the API documentation from the public internet here: https://atlas-rs.fly.dev/swagger-ui/. Here’s an example of how you can use curl to query the demo instance of Atlas (hosted publicly thanks to Fly.io and the GeoLite2 MaxMind database license) to retrieve country information for an IP address 8.8.8.8: > curl https://atlas-rs.fly.dev/geoip/lookup/country/8.8.8.8 | jq
{
  "results": {
    "8.8.8.8": {
      "country": {
        "iso_code": "US",
        // additional fields...
      },
      // additional results...
    }
  },
  "database_build_epoch": 1715091859
} Please note that this demo instance is intended only for demonstration and documentation purposes. Join the Atlas Community and Contribute As a newly introduced open-source project, Atlas is in the early stages of building its community. I am excited about the potential for Atlas to evolve and thrive with contributions from developers like you. Whether you're interested in refining functionality, adding new features, or simply improving documentation, your contributions are welcome and greatly valued. How You Can Contribute Try Atlas: The best way to start is by using Atlas in your projects. Experiment with it, identify any issues, and suggest improvements based on your real-world usage.


Report Issues: If you encounter any bugs or issues while using Atlas, please report them on the GitHub issues page. This feedback is crucial for continual improvement.


Suggest Features: Have ideas for new features or enhancements? Open a discussion on the GitHub repository or contribute directly by submitting a pull request.


Improve Documentation: As Atlas evolves, so too does the need for clear and comprehensive documentation. Whether it's enhancing the current content or writing tutorials and guides, your knowledge-sharing is invaluable.


Spread the Word: If you find Atlas useful, consider sharing it within your networks. Blog about your experiences, talk about Atlas at meetups, or share it on social media. Commitment to Open Source I am relatively new to Rust but bring many years of experience from other technology stacks. This project presents a great opportunity for more experienced Rust developers to contribute, ensuring that Atlas adheres to Rust's best practices and conventions since I know that it is not as good as it can be right now. I am committed to maintaining Atlas as a community-driven project and believe in open, collaborative development. I am eager to see how the community will shape Atlas's path forward and encourage you to join me in this journey, helping to build a tool that serves the needs of developers globally. In the end, I would like to give a special thanks to oschwald for creating the rust maxminddb crate which made Atlas possible. Future Directions As we continue to develop and improve Atlas, my vision is to create a robust, user-friendly minimal service. As of today, Atlas only supports MaxMind databases, but it would be beneficial to have an extensible implementation so more and more formats can be supported. Another aspect I would like to pay attention to is adding more endpoint types such as gRPC so that users can choose the best endpoint based on their requirements and needs. Thank you for taking the time to learn about Atlas. I am excited to see where we can take this project with your support and collaboration! Imagine you're tasked with implementing a geo-fencing feature for your service. At first glance, dropping in an IP GeoLocation API might seem straightforward, but often, project constraints or requirements complicate the simplest solutions. Let's explore our options. Local GeoIP Database Implementation Local GeoIP Database Implementation This method involves embedding a geolocation database directly within your application. It offers fast response times as it resides in-memory and operates independently of external services. However, this approach can be resource-intensive and harder to manage. Let’s see it in more detail. Pros Speed: IP lookups in milliseconds or less. Reliability: No reliance on third-party services reduces failure chances. Scalability: No extra costs as usage grows. Speed : IP lookups in milliseconds or less. Speed Reliability : No reliance on third-party services reduces failure chances. Reliability Scalability : No extra costs as usage grows. Scalability Cons Resource Intensive: Each app instance consumes significant memory. More Dependencies: Requires packages for decoding and looking up GeoIP data. Challenging Updates: Updates require manual intervention or another self-hosted service. Resource Intensive : Each app instance consumes significant memory. Resource Intensive More Dependencies : Requires packages for decoding and looking up GeoIP data. More Dependencies Challenging Updates : Updates require manual intervention or another self-hosted service. Challenging Updates Using External GeoIP APIs (Often Paid) Using External GeoIP APIs (Often Paid) Opting for a third-party API to handle geolocation queries reduces your application's resource load and ensures access to the most current data, but it comes with its own challenges: Pros Minimal Resource Use: Outsourcing GeoIP data and logic doesn't burden your app's resources. Ease of Implementation: Usually involves consuming a standard HTTP/GraphQL or gRPC API endpoint. Fewer Dependencies: Often only requires an HTTP client. Updates without hassle: Third-party will handle updates Minimal Resource Use : Outsourcing GeoIP data and logic doesn't burden your app's resources. Minimal Resource Use Ease of Implementation : Usually involves consuming a standard HTTP/GraphQL or gRPC API endpoint. Ease of Implementation Fewer Dependencies : Often only requires an HTTP client. Fewer Dependencies Updates without hassle : Third-party will handle updates Updates without hassle Cons Slower Responses: Calls to third-party services can introduce significant latency. Increased Unreliability: Greater likelihood of failures due to network issues or third-party downtimes. Scaling Costs: Costs can escalate as usage increases. Slower Responses : Calls to third-party services can introduce significant latency. Slower Responses Increased Unreliability : Greater likelihood of failures due to network issues or third-party downtimes. Increased Unreliability Scaling Costs : Costs can escalate as usage increases. Scaling Costs Introducing Atlas : Combining the Best of Both Worlds Introducing Atlas Faced with these challenges, I developed Atlas —a robust solution designed to synergize the benefits of both approaches. Atlas acts as a self-hosting HTTP service that automatically manages and serves the latest MaxMind geolocation databases, providing: Atlas Low Latency: Similar to local databases, Atlas offers rapid response times. (often in a few milliseconds) Low Latency : Similar to local databases, Atlas offers rapid response times. (often in a few milliseconds) Low Latency Reliability and Ease of Updates: It autonomously handles database updates, removing the typical maintenance burdens. Reliability and Ease of Updates : It autonomously handles database updates, removing the typical maintenance burdens. Reliability and Ease of Updates Cost Efficiency: No additional costs with scale in terms of third-party fees. Cost Efficiency : No additional costs with scale in terms of third-party fees. Cost Efficiency Dead-Simple API: A very simple API that lets you implement quicker and focus on what matters. Dead-Simple API : A very simple API that lets you implement quicker and focus on what matters. Dead-Simple API Open and Free: Atlas is Open Source and freely available under Apache-2.0 License. Open and Free: Atlas is Open Source and freely available under Apache-2.0 License. Open and Free : Atlas is Open Source and freely available under Apache-2.0 License. Open and Free By hosting Atlas closer to your application but operating like a remote API, it offers a middle ground that maximizes efficiency without the drawbacks of either method we have discussed. Why Rust? Safe, Performant, and Resource-Efficient Why Rust? Atlas is written in Rust, a language chosen for its unparalleled safety, performance, and resource efficiency. Rust's ownership model ensures memory safety without the need for a garbage collector, which is particularly advantageous during database updates—these operations consume minimal memory, avoiding the typical overhead associated with garbage-collected languages. This design choice not only boosts Atlas's performance but also enhances its reliability, making it an ideal solution for managing GeoIP data efficiently and safely. How to Deploy and Use Atlas? Atlas Docker images are automatically built and pushed to Docker Hub via GitHub Actions, making it easy for anyone to use. For detailed instructions on using these Docker images or building Atlas from source and configuration parameters, please refer to the Atlas README.md . Atlas README.md Atlas features a straightforward API, documented with OpenAPI 3.0 Specs. You can access the API documentation from the public internet here: https://atlas-rs.fly.dev/swagger-ui/ . https://atlas-rs.fly.dev/swagger-ui/ Here’s an example of how you can use curl to query the demo instance of Atlas (hosted publicly thanks to Fly.io and the GeoLite2 MaxMind database license) to retrieve country information for an IP address 8.8.8.8 : Fly.io 8.8.8.8 > curl https://atlas-rs.fly.dev/geoip/lookup/country/8.8.8.8 | jq
{
  "results": {
    "8.8.8.8": {
      "country": {
        "iso_code": "US",
        // additional fields...
      },
      // additional results...
    }
  },
  "database_build_epoch": 1715091859
} > curl https://atlas-rs.fly.dev/geoip/lookup/country/8.8.8.8 | jq
{
  "results": {
    "8.8.8.8": {
      "country": {
        "iso_code": "US",
        // additional fields...
      },
      // additional results...
    }
  },
  "database_build_epoch": 1715091859
} Please note that this demo instance is intended only for demonstration and documentation purposes. Please note that this demo instance is intended only for demonstration and documentation purposes. Join the Atlas Community and Contribute Join the Atlas Community and Contribute As a newly introduced open-source project, Atlas is in the early stages of building its community. I am excited about the potential for Atlas to evolve and thrive with contributions from developers like you. Whether you're interested in refining functionality, adding new features, or simply improving documentation, your contributions are welcome and greatly valued. How You Can Contribute Try Atlas: The best way to start is by using Atlas in your projects. Experiment with it, identify any issues, and suggest improvements based on your real-world usage. Report Issues: If you encounter any bugs or issues while using Atlas, please report them on the GitHub issues page. This feedback is crucial for continual improvement. Suggest Features: Have ideas for new features or enhancements? Open a discussion on the GitHub repository or contribute directly by submitting a pull request. Improve Documentation: As Atlas evolves, so too does the need for clear and comprehensive documentation. Whether it's enhancing the current content or writing tutorials and guides, your knowledge-sharing is invaluable. Spread the Word: If you find Atlas useful, consider sharing it within your networks. Blog about your experiences, talk about Atlas at meetups, or share it on social media. Try Atlas: The best way to start is by using Atlas in your projects. Experiment with it, identify any issues, and suggest improvements based on your real-world usage. Try Atlas : The best way to start is by using Atlas in your projects. Experiment with it, identify any issues, and suggest improvements based on your real-world usage. Try Atlas Report Issues: If you encounter any bugs or issues while using Atlas, please report them on the GitHub issues page. This feedback is crucial for continual improvement. Report Issues : If you encounter any bugs or issues while using Atlas, please report them on the GitHub issues page. This feedback is crucial for continual improvement. Report Issues Suggest Features: Have ideas for new features or enhancements? Open a discussion on the GitHub repository or contribute directly by submitting a pull request. Suggest Features : Have ideas for new features or enhancements? Open a discussion on the GitHub repository or contribute directly by submitting a pull request. Suggest Features Improve Documentation: As Atlas evolves, so too does the need for clear and comprehensive documentation. Whether it's enhancing the current content or writing tutorials and guides, your knowledge-sharing is invaluable. Improve Documentation : As Atlas evolves, so too does the need for clear and comprehensive documentation. Whether it's enhancing the current content or writing tutorials and guides, your knowledge-sharing is invaluable. Improve Documentation Spread the Word: If you find Atlas useful, consider sharing it within your networks. Blog about your experiences, talk about Atlas at meetups, or share it on social media. Spread the Word : If you find Atlas useful, consider sharing it within your networks. Blog about your experiences, talk about Atlas at meetups, or share it on social media. Spread the Word Commitment to Open Source I am relatively new to Rust but bring many years of experience from other technology stacks. This project presents a great opportunity for more experienced Rust developers to contribute, ensuring that Atlas adheres to Rust's best practices and conventions since I know that it is not as good as it can be right now. I am committed to maintaining Atlas as a community-driven project and believe in open, collaborative development. I am eager to see how the community will shape Atlas's path forward and encourage you to join me in this journey, helping to build a tool that serves the needs of developers globally. In the end, I would like to give a special thanks to oschwald for creating the rust maxminddb crate which made Atlas possible. special thanks to oschwald oschwald maxminddb Future Directions As we continue to develop and improve Atlas, my vision is to create a robust, user-friendly minimal service. As of today, Atlas only supports MaxMind databases, but it would be beneficial to have an extensible implementation so more and more formats can be supported. Another aspect I would like to pay attention to is adding more endpoint types such as gRPC so that users can choose the best endpoint based on their requirements and needs. Thank you for taking the time to learn about Atlas. I am excited to see where we can take this project with your support and collaboration!

IP Geo-Location: Local Database vs. Remote API—Finding the Middle Ground With Atlas

Last week, two remarkable events occurred: Meta announced its Llama 3, the most capable and highly anticipated open large language model (LLM) to date, and Boston Dynamics introduced its new fully electric Atlas robot platform — a stark departure from their hydraulic robots! At first glance, these developments may seem unrelated, but they are actually deeply interconnected, with the potential to synergistically drive each other forward and reshape how we work with and implement AI. At the heart of this connection is the transformative power of advanced AI. Breakthroughs in natural language processing and machine learning, exemplified by Llama 3, extend beyond language alone. These techniques, from deep neural networks to reinforcement learning, are also propelling significant advancements in computer vision, motion planning, and robot control. As language models like Llama 3 continue to expand the boundaries of AI’s ability to understand and interact with the world, they also lay the groundwork for more intelligent and capable robots. The implications, of course, extend beyond communication. The same techniques used to train LLMs on vast amounts of text data are also applicable to learning from massive datasets of sensor readings, images, and simulations for robots. Moreover, the open-source nature of models like Llama 3 democratizes access to state-of-the-art AI, enabling a broader spectrum of researchers and companies to integrate these capabilities into their robotic systems. At least start playing on that field! Every successful (and unsuccessful) attempt by Atlas to manipulate an object, navigate a cluttered factory floor, or assist a human worker becomes a valuable data point for the model, just as it does for Llama 3. Using this innovative model, Meta developed a standalone app, meta.ai, and embedded it into WhatsApp, Instagram, and Facebook, collecting vast and highly personalized data. This could lead us toward synthetic social networks or — which is more likely — an extremely personalized, embodied AI experience. As Llama 3 and the electric Atlas converge, they may accelerate each other’s development, blurring the lines between software and hardware, bits and atoms. As language models become more proficient at understanding and interacting with the world, robots will become more capable of applying that knowledge. This doesn’t necessarily mean evil. More capable and advanced robots, which can be fine-tuned and improved with your personal data and specifics, could take over mundane tasks at home. Imagine, instead of hundreds of text editors, finally having a robot that can load and unload the dishwasher and do the laundry. Currently, launches like Llama 3 are seen as enhancing AI’s understanding and processing capabilities, but in the long term, they will be one of the milestones in building and deploying machines that are finely attuned and aligned with us to assist in our daily lives. https://youtu.be/29ECwExc-_M?si=UyexFH1jOfd5TGY9&embedable=true Other Impressive Models: (I didn’t send you the FOD digest last Monday because I was at a conference dedicated to citizen diplomacy. Therefore, today, we have an extensive list of recently launched models that are worth checking out, along with other relevant research papers.) Mixtral-8x22B: Mistral AI introduced a scalable sparse mixture of expert models optimizing cost and latency by selectively using parameters during inference, offering a high capacity and efficiency model for further training and applications →read the paper
Rerank 3: Launched by Cohere, this model enhances enterprise search and Retrieval Augmented Generation systems, improving accuracy in document retrieval across multiple languages and data formats →read the paper
Idefics2: Hugging Face's model that excels in integrating text and image data, significantly improving on OCR and visual question-answering tasks →read the paper
Reka Core, Flash, and Edge: A series of multimodal language models from Reka that process text, images, video, and audio, demonstrating high performance across diverse tasks →read the paper
Ferret-UI: Developed by Apple, this model specializes in mobile UI interaction, enhancing user experience by accurately performing tasks tailored to the unique properties of UI screens →ead the paper
Zamba: Zyphra's compact and efficient SSM Hybrid model is designed for performance with reduced training data needs, optimized for consumer hardware →read the paper
YaART: Yandex's advanced text-to-image diffusion model that optimizes training efficiency and quality with smaller, high-quality datasets →read the paper
RHO-1: A novel approach by Xiamen University focusing on Selective Language Modeling to enhance efficiency by prioritizing useful tokens during training →read the paper
RecurrentGemma: Google DeepMind's model that moves past traditional transformers by incorporating recurrences for more efficient long-sequence processing →read the paper
JetMoE: An economical LLM from the MIT-IBM Watson AI Lab using a mixture-of-experts architecture to achieve high performance at reduced costs →read the paper News from The Usual Suspects © Google open-sourced Gemini Cookbook
and is merging its Research, DeepMind, and Responsible AI teams to accelerate its “capacity to deliver capable AI”
DeepMind published an article about the ethics of advanced AI assistants, stressing the significance of their integration into daily life Hugging Face https://x.com/QGallouedec/status/1782430246957994422?embedable=true Stanford published the 2024 AI Index report, reflecting the escalating impact of AI on society. It contains data with new estimates on AI training costs and detailed insights into the responsible AI landscape. It also introduces a new chapter on AI's influence on science and medicine. Highlights include the substantial cost of training state-of-the-art models, such as GPT-4 and Gemini Ultra; the dominance of the U.S. in producing top AI models; and significant investment growth in generative AI despite overall funding declines. Additionally, the report notes a major increase in AI-related regulations in the U.S. and heightened public awareness and nervousness about AI's future impact. Enjoyed This Story? I write a weekly analysis of the AI world in the Turing Post newsletter. We aim to equip you with comprehensive knowledge and historical insights so you can make informed decisions about AI and ML. Last week, two remarkable events occurred: Meta announced its Llama 3 , the most capable and highly anticipated open large language model (LLM) to date, and Boston Dynamics introduced its new fully electric Atlas robot platform — a stark departure from their hydraulic robots! At first glance, these developments may seem unrelated, but they are actually deeply interconnected, with the potential to synergistically drive each other forward and reshape how we work with and implement AI. Llama 3 Llama 3 electric Atlas robot electric Atlas robot At the heart of this connection is the transformative power of advanced AI. Breakthroughs in natural language processing and machine learning, exemplified by Llama 3, extend beyond language alone. These techniques, from deep neural networks to reinforcement learning, are also propelling significant advancements in computer vision, motion planning, and robot control. As language models like Llama 3 continue to expand the boundaries of AI’s ability to understand and interact with the world, they also lay the groundwork for more intelligent and capable robots. The implications, of course, extend beyond communication. The same techniques used to train LLMs on vast amounts of text data are also applicable to learning from massive datasets of sensor readings, images, and simulations for robots. Moreover, the open-source nature of models like Llama 3 democratizes access to state-of-the-art AI, enabling a broader spectrum of researchers and companies to integrate these capabilities into their robotic systems. At least start playing on that field! Every successful (and unsuccessful) attempt by Atlas to manipulate an object, navigate a cluttered factory floor, or assist a human worker becomes a valuable data point for the model, just as it does for Llama 3. Using this innovative model, Meta developed a standalone app, meta.ai , and embedded it into WhatsApp, Instagram, and Facebook, collecting vast and highly personalized data. This could lead us toward synthetic social networks or — which is more likely — an extremely personalized, embodied AI experience. As Llama 3 and the electric Atlas converge, they may accelerate each other’s development, blurring the lines between software and hardware, bits and atoms. As language models become more proficient at understanding and interacting with the world, robots will become more capable of applying that knowledge. meta.ai meta.ai synthetic social networks synthetic social networks This doesn’t necessarily mean evil. More capable and advanced robots, which can be fine-tuned and improved with your personal data and specifics, could take over mundane tasks at home. Imagine, instead of hundreds of text editors, finally having a robot that can load and unload the dishwasher and do the laundry. Currently, launches like Llama 3 are seen as enhancing AI’s understanding and processing capabilities, but in the long term, they will be one of the milestones in building and deploying machines that are finely attuned and aligned with us to assist in our daily lives. https://youtu.be/29ECwExc-_M?si=UyexFH1jOfd5TGY9&embedable=true https://youtu.be/29ECwExc-_M?si=UyexFH1jOfd5TGY9&embedable=true Other Impressive Models: (I didn’t send you the FOD digest last Monday because I was at a conference dedicated to citizen diplomacy. Therefore, today, we have an extensive list of recently launched models that are worth checking out, along with other relevant research papers.) (I didn’t send you the FOD digest last Monday because I was at a conference dedicated to citizen diplomacy. Therefore, today, we have an extensive list of recently launched models that are worth checking out, along with other relevant research papers.) Mixtral-8x22B: Mistral AI introduced a scalable sparse mixture of expert models optimizing cost and latency by selectively using parameters during inference, offering a high capacity and efficiency model for further training and applications →read the paper Rerank 3: Launched by Cohere, this model enhances enterprise search and Retrieval Augmented Generation systems, improving accuracy in document retrieval across multiple languages and data formats →read the paper Idefics2: Hugging Face's model that excels in integrating text and image data, significantly improving on OCR and visual question-answering tasks →read the paper Reka Core, Flash, and Edge: A series of multimodal language models from Reka that process text, images, video, and audio, demonstrating high performance across diverse tasks →read the paper Ferret-UI: Developed by Apple, this model specializes in mobile UI interaction, enhancing user experience by accurately performing tasks tailored to the unique properties of UI screens →ead the paper Zamba: Zyphra's compact and efficient SSM Hybrid model is designed for performance with reduced training data needs, optimized for consumer hardware →read the paper YaART: Yandex's advanced text-to-image diffusion model that optimizes training efficiency and quality with smaller, high-quality datasets →read the paper RHO-1: A novel approach by Xiamen University focusing on Selective Language Modeling to enhance efficiency by prioritizing useful tokens during training →read the paper RecurrentGemma: Google DeepMind's model that moves past traditional transformers by incorporating recurrences for more efficient long-sequence processing →read the paper JetMoE: An economical LLM from the MIT-IBM Watson AI Lab using a mixture-of-experts architecture to achieve high performance at reduced costs →read the paper Mixtral-8x22B: Mistral AI introduced a scalable sparse mixture of expert models optimizing cost and latency by selectively using parameters during inference, offering a high capacity and efficiency model for further training and applications →read the paper Mixtral-8x22B: →read the paper Rerank 3: Launched by Cohere, this model enhances enterprise search and Retrieval Augmented Generation systems, improving accuracy in document retrieval across multiple languages and data formats →read the paper Rerank 3: →read the paper Idefics2: Hugging Face's model that excels in integrating text and image data, significantly improving on OCR and visual question-answering tasks →read the paper Idefics2: →read the paper Reka Core, Flash, and Edge: A series of multimodal language models from Reka that process text, images, video, and audio, demonstrating high performance across diverse tasks →read the paper Reka Core, Flash, and Edge: →read the paper Ferret-UI: Developed by Apple, this model specializes in mobile UI interaction, enhancing user experience by accurately performing tasks tailored to the unique properties of UI screens →ead the paper Ferret-UI: →ead the paper Zamba: Zyphra's compact and efficient SSM Hybrid model is designed for performance with reduced training data needs, optimized for consumer hardware →read the paper Zamba: →read the paper YaART: Yandex's advanced text-to-image diffusion model that optimizes training efficiency and quality with smaller, high-quality datasets →read the paper YaART: →read the paper RHO-1: A novel approach by Xiamen University focusing on Selective Language Modeling to enhance efficiency by prioritizing useful tokens during training →read the paper RHO-1: →read the paper RecurrentGemma: Google DeepMind's model that moves past traditional transformers by incorporating recurrences for more efficient long-sequence processing →read the paper RecurrentGemma: →read the paper JetMoE: An economical LLM from the MIT-IBM Watson AI Lab using a mixture-of-experts architecture to achieve high performance at reduced costs →read the paper JetMoE: →read the paper News from The Usual Suspects © Google Google open-sourced Gemini Cookbook and is merging its Research, DeepMind, and Responsible AI teams to accelerate its “capacity to deliver capable AI” DeepMind published an article about the ethics of advanced AI assistants, stressing the significance of their integration into daily life open-sourced Gemini Cookbook Gemini Cookbook and is merging its Research, DeepMind, and Responsible AI teams to accelerate its “ capacity to deliver capable AI ” merging capacity to deliver capable AI DeepMind published an article about the ethics of advanced AI assistants, stressing the significance of their integration into daily life published Hugging Face Hugging Face https://x.com/QGallouedec/status/1782430246957994422?embedable=true https://x.com/QGallouedec/status/1782430246957994422?embedable=true Stanford Stanford published the 2024 AI Index report, reflecting the escalating impact of AI on society. It contains data with new estimates on AI training costs and detailed insights into the responsible AI landscape. It also introduces a new chapter on AI's influence on science and medicine. Highlights include the substantial cost of training state-of-the-art models, such as GPT-4 and Gemini Ultra; the dominance of the U.S. in producing top AI models; and significant investment growth in generative AI despite overall funding declines. Additionally, the report notes a major increase in AI-related regulations in the U.S. and heightened public awareness and nervousness about AI's future impact. published the 2024 AI Index report , reflecting the escalating impact of AI on society. It contains data with new estimates on AI training costs and detailed insights into the responsible AI landscape. It also introduces a new chapter on AI's influence on science and medicine. Highlights include the substantial cost of training state-of-the-art models, such as GPT-4 and Gemini Ultra; the dominance of the U.S. in producing top AI models; and significant investment growth in generative AI despite overall funding declines. Additionally, the report notes a major increase in AI-related regulations in the U.S. and heightened public awareness and nervousness about AI's future impact. the 2024 AI Index report Enjoyed This Story? I write a weekly analysis of the AI world in the Turing Post newsletter. We aim to equip you with comprehensive knowledge and historical insights so you can make informed decisions about AI and ML. Turing Post

AI Industries Converge: Llama 3 and Electric Atlas Have More In Common Than You Think

In today's world, where everything is interconnected, it's important to understand how our digital infrastructure, including the internet and our own smaller networks, performs. Whether you're a seasoned network expert or just starting out, having the right tools at your disposal can make a big difference. In this article, we’ll take a closer look at two helpful tools: and . Both are network measurement platforms that allow you to evaluate the performance and reliability of networks using a globally distributed probe network. RIPE Atlas Globalping We’ll also compare the two platforms and see in which use cases the newer Globalping platform can be a great RIPE Atlas alternative. By the end of the article, you may even want to use both platforms together to get the best insights! Introducing the Platforms To start, let's give you a brief introduction to the two tools: Introducing Globalping Founded by the jsDelivr team in 2021, Globalping is a platform that relies on an extensive probe network hosted in users' homes and offices worldwide. The platform aims to provide an excellent user experience, making it straightforward for users from all backgrounds to create their measurements effortlessly. The platform is entirely open source, and all tools, including the API, are free to use. You can also support the project and its users by hosting one or more probes. Globalping offers various official integrations and tools to ensure a seamless experience. For example, you can use the CLI tool to bring the platform's capabilities to your terminal. Or you can add the Slack app to your workspace, which enables your team to collaborate and troubleshoot effectively, making Globalping an interesting RIPE Atlas alternative. Introducing RIPE Atlas RIPE Atlas was founded by the RIPE Network Coordination Centre (NCC) in 2010, and it has since grown its network to consist of over 12000 probes to measure internet connectivity worldwide. All data collected by the platform is publicly available, which makes it popular with researchers and organizations interested in monitoring and learning about the state of the internet in real-time. By spending credits, you can create your own measurements and view the results in their dashboard, rendered over maps, or as raw data. You can earn credits in various ways, such as hosting a probe or purchasing credits directly, although that’s limited to bigger enterprises. In addition, there are several tools available, including data parsers, CLI tools, and apps, which have been created by both the RIPE NCC and the community. Comparing the Two Platforms Below, you'll find a list of criteria along with some comments on how each platform handles and performs in those areas. Our goal is to emphasize the strengths of both platforms, as each one has its own features and benefits, catering to a wide range of users and use cases. Probe Network Globalping: Has a quickly and continuously growing probe network. Anyone can host a probe – all you need to do is run the probe's Docker container on an internet-connected machine. RIPE Atlas: Offers an extensive probe network across the globe. If you want to host a probe, you need to apply for one first. If the network would benefit from your probe's location, you'll get a hardware probe sent to your address where you need to set it up. Measurement Types Globalping: All tests report their results back in real-time, creating a feeling of local testing and allowing different kinds of new use cases. Supported test types are: Ping, Traceroute, DNS, HTTP (including SSL), and MTR. RIPE Atlas: The platform is focused more on scheduled measurements resulting in delays that may happen due to RIPE's complexity. Supported test types are:
Ping, Traceroute, DNS, HTTP, SSL, and NTP. Measurements and Costs Globalping: Enables you to create measurements for free, regardless of the tool you use, whether it is the API, CLI tool, or Slack app. However, some rate limits are in place to safeguard the API, which are usually sufficient for most users. But, if you need more, you can increase the limit by becoming a GitHub sponsor or earn free credits by hosting multiple probes at home, in the office, or on hosting providers. RIPE Atlas: Allows you to create measurements, but it costs credits. You can obtain credits by hosting a probe, requesting credits as a researcher, receiving transfers from other users, or buying credits by becoming a corporate sponsor. However, becoming a sponsor may be too pricey for individuals. Internet Health Monitoring Globalping: Doesn't offer public internet health monitoring capabilities at the moment. Instead, it focuses on providing measurement creation capabilities to users. RIPE Atlas: Offers public access to all measurements. You can analyze internet health data by viewing maps and graphs, which provide detailed insights. Custom Monitoring Capabilities Globalping: You can leverage the API to develop your own monitoring solution, which many companies already do. The Globalping team is also working on building a custom and scheduled monitoring platform. This platform will use the probe network to provide real-time and historical data on the performance and quality of any internet endpoint. RIPE Atlas: You can specify intervals and timeframes for running measurements, and then analyze the results using maps and graphs that the platform generates and displays on its website. Use Cases Globalping: Designed to be used by users with various backgrounds and networking skills. It allows you to create network measurements effortlessly and for free, making it a great RIPE Atlas alternative when you want to learn more about networking or investigate your own networks in-depth. Overall, Globalping is suitable for both newcomers and network experts. RIPE Atlas: Tailored for researchers, academics, and anyone who needs access to aggregated internet connectivity data. The platform also allows you to investigate the impact of global or local incidents on internet health, such as natural catastrophes. Commercial Use Globalping: Doesn't differentiate between personal and commercial use, and you don't need an account or authentication for basic tests. RIPE Atlas: If you plan to use the RIPE Atlas platform to provide paid services or products, there are some rules you need to follow. These rules include, for example, displaying the platform's logo and description. The platform's credit-based usage system also applies here. Data Usage Globalping: Measurement results are stored for a limited time; only users with the measurement link can view them. Also, probe owners can see the tests their probe ran. RIPE Atlas: All measurements conducted on the platform are publicly accessible. Tools and Integrations Globalping: Provides user-friendly tools and integrations for custom development, Slack, and GitHub. The Globalping team officially maintains all tools, ensuring ongoing development, support, and a consistent and modern UX. RIPE Atlas: You can find many open-source tools, including CLI tools and visualization libraries, on the website and on GitHub. Some of these tools were created during hackathons and may not be regularly maintained, so keep this in mind when searching for tools. Getting Involved Globalping: Invites you to host one or more probes, become a GitHub sponsor, or contribute to the platform on GitHub. The team welcomes any feedback and feature requests, which are essential for the platform's continuous improvement and growth. RIPE Atlas: Encourages you to host a probe or an anchor, sponsor the project by buying credits, become an ambassador, or contribute to the open-source tools. Is Globalping a RIPE Atlas Alternative? Our comparison between Globalping and RIPE Atlas showed that both platforms have unique benefits: With its extensive public internet health data, RIPE Atlas is great for researchers and network experts who require detailed analysis. On the other hand, Globalping's modern approach, user-friendly UX, and free measurements make it compelling for a wide range of users. This makes it a great alternative to RIPE Atlas for individuals as well as companies ranging from startups to enterprises. However, each platform has its features and strengths, so we think it's worth using them together. By leveraging Globalping to run real-time measurements in a comfortable way and RIPE Atlas to obtain aggregated data, you can get a more in-depth view of the state of the internet and your own networks. If you're new to Globalping or looking for a straightforward way to get started with networking, we invite you to ! visit our website and create your first measurements

RIPE Atlas and Globalping: Choosing the Right Network Measurement Platform

RIPE Atlas এবং Globalping: সঠিক নেটওয়ার্ক পরিমাপ প্ল্যাটফর্ম নির্বাচন করা

RIPE Atlas und Globalping: Auswahl der richtigen Netzwerkmessplattform

RIPE Atlas y Globalping: elección de la plataforma de medición de red adecuada

RIPE Atlas et Globalping : choisir la bonne plate-forme de mesure de réseau

RIPE एटलस और ग्लोबलपिंग: सही नेटवर्क मापन प्लेटफ़ॉर्म चुनना

RIPE Atlas と Globalping: 適切なネットワーク測定プラットフォームの選択

RIPE Atlas 및 Globalping: 올바른 네트워크 측정 플랫폼 선택

RIPE Atlas e Globalping: Escolhendo a plataforma certa de medição de rede

RIPE Atlas и Globalping: выбор правильной платформы для сетевых измерений

RIPE Atlas ve Globalping: Doğru Ağ Ölçüm Platformunu Seçmek

RIPE Atlas và Toàn cầu hóa: Chọn nền tảng đo lường mạng phù hợp

RIPE Atlas 和 Globalping：选择正确的网络测量平台

Blockchains, by default, are isolated from each other. Performing value and data transfers securely cross-chain requires special implementations, such as the one developed by Axelar, which will soon add MultiversX to its growing list of supported networks. MultiversX, the first fully sharded blockchain architecture that is capable of 100,000+ transactions per second at negligible fees, continues its aggressive expansion, called Hypergrowth, with a new integration aimed at boosting interoperability. Once in production, the Axelar interoperability layer will allow assets from over 50 chains to be bridged over to MultiversX, and vice-versa, enabling them to benefit from increased performance and efficiency. For example, ERC-20 tokens like USDC, USDT, or even ETH, will become extremely convenient to use for payments and DeFi opportunities by inheriting the capabilities of the MultiversX network. On top of fast and inexpensive transfers, tokens operating on MultiversX gain from several other enhancements like composability by design, non-VM dependance, and superior security as it eliminates the problematic ‘approve’ and ‘transferFrom’ functions that cause most of the wallet drains on EVM chains. ” said Lucian Mincu, CIO MultiversX “Tokens should not reside in smart contracts. There are undeniable advantages in having them operate in the same way as the native network token, and Axelar introducing additional interoperability options for letting more users, communities and developers engage with the innovative MultiversX token standard will benefit the entire blockchain ecosystem. The Axelar cross-chain gateway protocol is powered by a dynamic validator set to ensure decentralization, robustness and censorship-resistance. The integration with MultiversX will include a set of plug-and-play tools for developers to be able to easily go cross-chain with their decentralized applications. This will make it possible for users to “interact with any asset, any application, on any chain, with one click”. said Georgios Vlachos, Director at Axelar Foundation “Axelar network is continually expanding to connect all of Web3.  That expansion continues with MultiversX, a vibrant ecosystem that will add value and utility to all 50+ connected chains." The planned integration has just been announced by representatives of the two projects on the xDay stage. The annual conference organized by MultiversX gathered major tech companies such as Google Cloud, AWS, Tencent Cloud, Deutsche Telekom, as well as government officials, builders and specialists from various domains to present new innovations and paths to integrate blockchains into digitization efforts. About Axelar Axelar is the full-stack interoperability layer for Web3. The network enables blockchain as a new application development platform, by integrating ecosystems of innovation into a seamless “Internet of blockchains.” Axelar is programmable and decentralized, secured by a proof-of-stake token, AXL. Application users unlock and access digital assets on any blockchain, with one click. Developers work with a simple API and access an open market of tooling to automate complex tasks. About MultiversX A highly scalable, secure and decentralized blockchain network created to enable radically new applications, for users, businesses, society, and the new metaverse frontier.

Assets From 50+ Chains To Become Available On MultiversX Via Axelar

Axelar এর মাধ্যমে MultiversX-এ উপলব্ধ হতে 50+ চেইন থেকে সম্পদ

Vermögenswerte von über 50 Ketten werden über Axelar auf MultiversX verfügbar

Los activos de más de 50 cadenas estarán disponibles en MultiversX a través de Axelar

Les actifs de plus de 50 chaînes seront disponibles sur MultiversX via Axelar

एक्सेलर के माध्यम से मल्टीवर्सएक्स पर 50+ श्रृंखलाओं की संपत्तियां उपलब्ध होंगी

50以上のチェーンのアセットがAxelar経由でMultiversXで利用可能に

Axelar를 통해 MultiversX에서 사용할 수 있는 50개 이상의 체인 자산

Ativos de mais de 50 cadeias serão disponibilizados no MultiversX via Axelar

Активы из более чем 50 сетей станут доступны на MultiversX через Axelar

50'den Fazla Zincirin Varlıkları Axelar Aracılığıyla MultiversX'te Kullanılabilir Olacak

Tài sản từ hơn 50 chuỗi sẽ có sẵn trên MultiversX thông qua Axelar

来自 50 多个链的资产将通过 Axelar 在 MultiversX 上提供

Striving for greatness is an admirable mission. I look up to the people around me who plan their careers, stick to a schedule, and undertake gratifying personal projects or work their way through rigorous fitness regimens. In many ways, this is the point of life – to continue creating, improving, excelling, learning, and discovering. If we aren't progressing, what are we doing? If we aren't challenging ourselves, it's all too easy to grow stagnant. But there's a temptation to view growing and learning as a series of milestones. Maybe you view progression as finishing a big project at work. Perhaps you only feel satisfied when you've mastered the next weight on your deadlift. I'm starting to realize – as many people do throughout their journey of self-discovery – that growth isn't always about completing something. It's not exclusive to meeting a goal, hitting a milestone, or mastering a skill. You can grow through everyday activities that speak to your soul, too. Picking up a sketchbook for a couple of hours; taking a stroll along the shoreline; listening to a new album; spending Sunday afternoons in the local community garden; these activities don't have an end goal, but they can be as enriching as any professional or personal accomplishment. Today we're going to look at this contrast through the lens of Telic vs Atelic activities. You'll soon know exactly what I mean by "all work and no play"! Let's talk about it. What are Telic and Atelic Activities? We've learned a lot from the great philosophers of the past, one of these great thinkers being Aristotle. In 'Metaphysics,' he made a distinction between . Kinetic or 'telic' activities always have a destination in sight; the Greek word 'telos' refers to an end goal, implying that the activity is terminal. kinesis and energeia For example – if you decide you're going to learn an instrument, the end goal is to be able to play that instrument well. If you're writing an autobiography, the end goal is to finish and publish it. If you have a large client project to complete, the end goal is to deliver it and move on to the next task. An energetic or 'atelic' action is something you can't really exhaust. Spending time in nature doesn't have an end date. Writing daily journal entries can be done every morning, and you'll never run out of things to say because it's an open-ended mindfulness practice. There are a few confusing cases; for instance, if you can play a guitar every day and never run out of tabs to learn, isn't that atelic? Here I would say it depends on your intention. If you're trying to gain guitar-playing skills and get better at it, it's probably telic. If you've already learned how to play and you're enjoying a daily habit of strumming for five minutes each morning before work, that's atelic. It's all about the tangible end goal (or lack thereof). Why Make the Distinction? Like most of my newsletter topics, I came across these terms – telic and atelic – while reading. Philosopher Kieran Setiya published in 2018; it's a deep-thinking book about finding purpose and satisfaction in the second half of life, and it particularly focuses on midlife crises. Midlife: A Philosophical Guide Setiya talks about his own midlife crisis, which he experienced at age 35. It was as though life suddenly lost all meaning. It felt like a series of pointless accomplishments and filled him with intense dread. What Setiya encountered (though he wrote about it in much more detail than I will here) is something called : the feeling of boredom and dissatisfaction that comes from a lack of meaning, purpose, or occupation. He was faced with the futility of life. ennui We’ll come back to Setiya. Schopenhauer's Pessimistic Views In the 19th century, German philosopher Arthur Schopenhauer shook things up with his theories of an irrational universe. You might've heard of Schopenhauer – he for being quite pessimistic. has a reputation He believed that life is an endless cycle of suffering and striving, where even joyful activities bring pain. We can never really gain satisfaction, because it's fleeting; after a certain point, our accomplishments and achievements start to become meaningless. To be honest, I think we all play with these ideas throughout our lives. Everything ends, so what's the point? We're just going through the motions until we reach the inevitable conclusion. But I found it interesting to read Setiya's book and hear his solution to Schopenhauer's problem. He suggests that if you view life as a series of goals and accomplishments, you're naturally going to feel dissatisfied by the temporary nature of those accomplishments. This is where telic and atelic activities become relevant to the conversation. Investing in Timeless Tasks "In pursuing a goal, you are trying to exhaust your interaction with something good, as if you were to make friends for the sake of saying goodbye." This is how Setiya introduces the idea of telic vs. atelic activities; he points out that goals with a destination in sight are often short-lived. Particularly in the first 20 or 30 years of life, it's easier to reach destination after destination without feeling a sense of meaninglessness. At a certain point, though, we tend to feel the weight of the endless striving – which is what Setiya felt at age 35. So, where do we turn? Setiya suggests recognizing and embracing a different means of fulfillment in atelic activities. He recommends “a switch in focus from the value of getting there to the value of being on the way.” The Merit of Atelic Living Unless we're mad scientist workaholics, most of us have a decent mix of telic and atelic activities in our lives. It's just natural. Do you keep a journal? Do you spend time with family? Do you take weekend trips? Do you watch documentaries or read books? Is there a particular walking track you take each day after work? Do you lay on a blanket to watch the stars when there's a meteor shower incoming? Is there a particular topic you're fascinated by and like to research? Are there any hobbies that you dip into every once in a while, just for the sake of it? These are all atelic activities. They don't have an end goal, and they don't necessarily require us to 'do' anything; we can simply be present. We can enjoy them without feeling like we need to get something out of them or move on quickly so that we can reach the next destination. ...But I'm Already Doing It! Like I said, you're probably already engaging in a bunch of atelic activities. A lot of us do – it's just that we haven't recognized them as such, because they don't necessarily contribute to our resume or help us reach a milestone. What you're trying to do instead is shift which activities – telic or atelic – you see as most important. Societal norms and the way we're raised typically demand that we focus on telic activities and view them as the most meaningful. Atelic activities can bring us just as much (if not more) value in terms of learning, growth, and satisfaction. If we can't learn to find fulfillment in the menial activities with no end, no destination, and no goal, then we'll struggle to wrestle with those Schopenhauerian feelings of futility. You are not defined by your measurable accomplishments. Life shouldn't just be a series of "I finished that – what's next?" It's great to have goals and ambitions. It's not so great to view these as the only means of growth and satisfaction. Embracing Atelic Life Are you experiencing anything close to a midlife crisis? Maybe you're consumed by thoughts about life and existence or concerned that you should've done more, been more, or achieved more. My first response would be to recommend Setiya's book, but in terms of actionable steps, I can't emphasize this idea of atelic living enough. Look at your life and really identify those everyday, menial activities that you find joy in. Acknowledge the way they make you feel. Accept that if your entire life went by without another measurable accomplishment, you could still find deep meaning and satisfaction in goal-free activities. Inspiration List: Atelic Activities If you're having trouble identifying the atelic activities in your life, I thought it might help to draw up a list of ideas. Here's what I came up with: Finding a nourishing recipe you've never tried before and cooking it/eating it mindfully Taking a walk without listening to music or podcasts Spending an hour in the garden watering plants, pulling weeds, picking flowers Drawing, painting, or coloring Taking a yoga class and focusing on the breath rather than the poses Writing a stream of consciousness in your journal without censoring your thoughts Sitting quietly for 10 minutes with no distractions to observe your thoughts and feelings Reading a book that has nothing to do with work, school, or career goals (i.e., something just for fun) Watching sunsets or sunrises Listening to an entire album from start to finish Can you think of any more? I'd love to hear your ideas in the comments! Wrap Up Atelic activities don't have a destination. They don't typically lead to accomplishments, and they're not necessarily measurable. But that doesn't mean they can't be just as meaningful and enriching as telic activities – if not more so. Striking a balance between work-like goals and soulful goal-free activities is one of my top priorities these days; I know what it feels like to be consumed by the cycle of achievement and ambition. I think it's crucial to recognize that there are other ways to grow. There can be joy in everyday activities, too – even if it doesn't look like productivity or progress on a resume. Thanks for reading! If you enjoyed this article, I’d love to hear from you. Write me at or at me @ScottDClary and I’ll do my best to get back to everyone! scott@scottdclary.com tweet Also published here.

Telic vs Atelic: Balancing Work and Play in Your Life

টেলিক বনাম অ্যাটেলিক: আপনার জীবনে কাজ এবং খেলার ভারসাম্য বজায় রাখা

Telic vs. Atelic: Vereinbarkeit von Arbeit und Freizeit in Ihrem Leben

Telic vs Atelic: Equilibrando el trabajo y el juego en tu vida

Telic vs Atelic : équilibrer travail et loisirs dans votre vie

टेलिक बनाम एटेलिक: अपने जीवन में काम और खेल को संतुलित करना

Telic 対 Atelic: 人生における仕事と遊びのバランス

Telic vs Atelic: 삶에서 일과 놀이의 균형 유지

Telic vs Atelic: Equilibrando trabalho e lazer em sua vida

Telic vs Atelic: Hayatınızda İş ve Eğlenceyi Dengelemek

Telic vs Atelic: Cân bằng giữa công việc và vui chơi trong cuộc sống của bạn

Telic 与 Atelic：平衡生活中的工作和娱乐

The Stripe Atlas Review: How we Started a US Company as Non-US Residents

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