Devour

devour

PHOENIX, AZ, June 1st, 2023/Chainwire/-- , a pioneering restaurant engagement technology company, is thrilled to announce its strategic partnership with , an innovative force in the gaming industry. The collaboration aims to revolutionize the restaurant and gaming experience by expanding , Devour's web3-enabled guest engagement platform, to the upcoming release of AlterVerse's Sky City gaming Metaverse. Devour AlterVerse DevourGO DevourGO has emerged as a prominent player in token-gating food ordering experiences. It is gaining swift recognition for its innovative approach, which allows users to unlock these experiences by utilizing their digital assets and the native token, DevourPAY ($DPAY), for payments and exclusive rewards on the platform. With this new partnership, DevourGO will extend its offering to include real-world food delivery orders coming from storefronts within AlterVerse’s stunning photorealistic metaverse, Sky City. The integration with AlterVerse will allow DevourGO to unlock a whole new level of immersive restaurant experiences for customers and restaurant brands. The visionary AlterVerse team, backed by notable entities such as Binance Labs, Polygon Ventures, and Gate.io Labs, is actively building a vibrant global community of gaming enthusiasts. With Sky City, built on Unreal Engine 5, AlterVerse offers an extensive range of experiences that go beyond traditional gaming. Users can play countless games and challenges, design their own homes, engage in high stakes competition, and shop at many restaurants and retail shops in the central hub. The metaverse is blockchain-driven allowing users to create, own and sell in-game creations in support of its fun-first gaming mantra. As part of this partnership, Devour will integrate its DevourGO order platform into Sky City, enabling users to seamlessly order food and beverages from participating restaurants within the virtual realm. As the partnership evolves, players will not only receive real-world food, but their avatars will gain valuable increases in their hunger and thirst meters, which players need to maintain in order to progress in the game. Because the Alterverse community is Global, players will be able to seamlessly order from restaurants local to their physical location. "We are thrilled to partner with Alterverse and expand the reach of DevourGO to the exciting world of AlterVerse's Sky City metaverse," said Shelly Rupel, CEO at Devour. "This collaboration represents a significant step forward in enhancing guest engagement for restaurant brands. By combining the immersive experiences of Alterverse with the convenience and efficiency of DevourGO, we are enabling restaurant guests to seamlessly order, dine, and engage in an entirely new way.” As the release of AlterVerse's Sky City approaches, Devour and AlterVerse will work closely to ensure seamless integration of DevourGO with the metaverse. Restaurant brands will have the opportunity to leverage the combined power of Devour's technology and AlterVerse's immersive gaming environment to create unforgettable guest experiences and maximize their reach in the gaming community. About Devour Devour Inc is a next-gen restaurant engagement technology company dedicated to transforming the way restaurants connect with their guests. Their DevourGO platform utilizes web3 technology to provide community-focused delivery and pick-up ordering services for restaurant brands of all sizes, with on-premise ordering, reservations, and more digital guest engagement solutions coming soon. Included in the Devour ecosystem is DevourPAY $DPAY ( ), the native utility token of the platform, and The Industry Pass ( ), offering exclusive perks and benefits to its community members. More information can be found at https://devour.io/devourpay https://devour.io/theindustry https://devour.io About AlterVerse AlterVerse is a pioneering force in the gaming industry, creating a four-phase metaverse intricately built on Unreal Engine 5. Their upcoming Sky City gaming metaverse offers users the ability to play mini-games and adventures, fly a ‘Copter over the shrouded planet, race a Violator around the Sky City track, and monetize their in-game creations within an expansive, interconnected ecosystem. The metaverse is powered by blockchain technology, VR compatible, and provides players with opportunities for both immersive gameplay and financial reward. More information can be found at https://www.alterverse.com Disclaimer: This press release is for informational purposes only. The information does not constitute investment advice or an offer to invest. Contact CEO Shelly Rupel Devour Inc shelly@devour.io This story was distributed as a release by Chainwire under HackerNoon’s Brand As An Author Program. Learn more about the program . here

Devour & Alterverse Set to Bring the World's First Web3 Food Ordering Marketplace to the Metaverse

Devour & Alterverse está listo para traer el primer mercado de pedidos de alimentos Web3 del mundo al metaverso

Devour & Alterverse s'apprêtent à apporter le premier marché de commande de nourriture Web3 au monde au métaverse

Devour & Alterverse दुनिया के पहले वेब3 फूड ऑर्डरिंग मार्केटप्लेस को मेटावर्स में लाने के लिए तैयार है

Devour & Alterverse が世界初の Web3 食品注文マーケットプレイスをメタバースに導入

Devour & Alterverse devem trazer o primeiro mercado de pedidos de comida Web3 do mundo para o metaverso

Devour & Alterverse được thiết lập để đưa Thị trường đặt hàng thực phẩm Web3 đầu tiên trên thế giới vào Metaverse

Devour & Alterverse 将把世界上第一个 Web3 食品订购市场带到 Metaverse

PHOENIX, United States, June 13th, 2024/Chainwire/-- Devour, the leading web3-powered food ordering platform, announced today that it's simplifying crypto payments for millions of users with the integration of Coinbase Commerce into its DevourGO checkout. This innovative move allows crypto enthusiasts to seamlessly pay for their favorite meals using their existing Coinbase.com or Wallet accounts, all within the DevourGO app. "We're excited to partner with Coinbase Commerce to make crypto spending on food effortless for millions," said Shelly Rupel, CEO of Devour. "This integration unlocks a massive opportunity – crypto holders can now enjoy food delivery while paying with the ease of their Coinbase account. It's a win-win for both sides, offering crypto users the convenience they crave and restaurants a new way to tap into a growing and tech-savvy customer base.” DevourGO leverages the power of web3 technology to create a more engaging and rewarding dining experience for both consumers and restaurants. Empowering food ordering and engagement beyond the traditional apps — in-game, in-entertainment, and in-digital communities! With the addition of Coinbase Commerce, DevourGO unlocks a new level of convenience and accessibility for millions of crypto enthusiasts. “Coinbase Commerce was created to provide new and more accessible avenues for businesses and consumers to transact with crypto,” said Lauren Dowling, Group Product Manager, Coinbase Commerce and Onramp. “We are pleased to integrate with DevourGO and provide convenient, seamless, and a borderless customer experience for restaurants and crypto enthusiasts.” Benefits of the DevourGO and Coinbase Commerce Integration: Convenience for Crypto Users: DevourGO users can now pay for their food orders directly with their crypto holdings, eliminating the need to convert to fiat currency.
Increased Revenue for Restaurants: Restaurants using DevourGO can tap into a new customer base of millions of crypto enthusiasts who are eager to spend their digital assets.
Effortless Checkout: Pay for food directly from your Coinbase account, eliminating the need for multiple logins or complex processes. How it Works: Users place their food orders through the DevourGO platform.
At checkout, users select Coinbase Commerce as their payment method.
Users are directed to their Coinbase.com or Wallet account to complete the transaction.
Once the transaction is confirmed, the user's order is processed by DevourGO and sent to the restaurant. About Devour Devour is a trailblazing platform that transforms the digital dining experience, uniquely integrating food ordering into the gaming and streaming worlds for Gen Z. It’s more than an app; it’s an innovative ecosystem where games, entertainment, and food converge. With the Devour Platform, we’re tapping into the lifestyles of over 200 million U.S. gamers, offering a seamless blend of entertainment and convenience. Learn more at devour.io. About Coinbase Crypto creates economic freedom by ensuring that people can participate fairly in the economy, and Coinbase (NASDAQ: COIN) is on a mission to increase economic freedom for more than 1 billion people. We’re updating the century-old financial system by providing a trusted platform that makes it easy for people and institutions to engage with crypto assets, including trading, staking, safekeeping, spending, and fast, free global transfers. We also provide critical infrastructure for on-chain activity and support builders who share our vision that on-chain is the new online. And together with the crypto community, we advocate for responsible rules to make the benefits of crypto available around the world. For media inquiries or to request an interview with CEO Shelly Rupel, users can contact Leah Smith at press@devour.io Contact CMO Leah Smith Devour press@devour.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. PHOENIX, United States, June 13th, 2024/Chainwire/-- Devour, the leading web3-powered food ordering platform, announced today that it's simplifying crypto payments for millions of users with the integration of Coinbase Commerce into its DevourGO checkout. This innovative move allows crypto enthusiasts to seamlessly pay for their favorite meals using their existing Coinbase.com or Wallet accounts, all within the DevourGO app. "We're excited to partner with Coinbase Commerce to make crypto spending on food effortless for millions," said Shelly Rupel, CEO of Devour. "This integration unlocks a massive opportunity – crypto holders can now enjoy food delivery while paying with the ease of their Coinbase account. It's a win-win for both sides, offering crypto users the convenience they crave and restaurants a new way to tap into a growing and tech-savvy customer base.” "We're excited to partner with Coinbase Commerce to make crypto spending on food effortless for millions," said Shelly Rupel, CEO of Devour. "This integration unlocks a massive opportunity – crypto holders can now enjoy food delivery while paying with the ease of their Coinbase account. It's a win-win for both sides, offering crypto users the convenience they crave and restaurants a new way to tap into a growing and tech-savvy customer base.” DevourGO leverages the power of web3 technology to create a more engaging and rewarding dining experience for both consumers and restaurants. Empowering food ordering and engagement beyond the traditional apps — in-game, in-entertainment, and in-digital communities! With the addition of Coinbase Commerce, DevourGO unlocks a new level of convenience and accessibility for millions of crypto enthusiasts. “Coinbase Commerce was created to provide new and more accessible avenues for businesses and consumers to transact with crypto,” said Lauren Dowling, Group Product Manager, Coinbase Commerce and Onramp. “We are pleased to integrate with DevourGO and provide convenient, seamless, and a borderless customer experience for restaurants and crypto enthusiasts.” “Coinbase Commerce was created to provide new and more accessible avenues for businesses and consumers to transact with crypto,” said Lauren Dowling, Group Product Manager, Coinbase Commerce and Onramp. “We are pleased to integrate with DevourGO and provide convenient, seamless, and a borderless customer experience for restaurants and crypto enthusiasts.” Benefits of the DevourGO and Coinbase Commerce Integration: Convenience for Crypto Users: DevourGO users can now pay for their food orders directly with their crypto holdings, eliminating the need to convert to fiat currency. Increased Revenue for Restaurants: Restaurants using DevourGO can tap into a new customer base of millions of crypto enthusiasts who are eager to spend their digital assets. Effortless Checkout: Pay for food directly from your Coinbase account, eliminating the need for multiple logins or complex processes. Convenience for Crypto Users: DevourGO users can now pay for their food orders directly with their crypto holdings, eliminating the need to convert to fiat currency. Increased Revenue for Restaurants: Restaurants using DevourGO can tap into a new customer base of millions of crypto enthusiasts who are eager to spend their digital assets. Effortless Checkout: Pay for food directly from your Coinbase account, eliminating the need for multiple logins or complex processes. How it Works: Users place their food orders through the DevourGO platform. At checkout, users select Coinbase Commerce as their payment method. Users are directed to their Coinbase.com or Wallet account to complete the transaction. Once the transaction is confirmed, the user's order is processed by DevourGO and sent to the restaurant. Users place their food orders through the DevourGO platform. At checkout, users select Coinbase Commerce as their payment method. Users are directed to their Coinbase.com or Wallet account to complete the transaction. Once the transaction is confirmed, the user's order is processed by DevourGO and sent to the restaurant. About Devour Devour is a trailblazing platform that transforms the digital dining experience, uniquely integrating food ordering into the gaming and streaming worlds for Gen Z. It’s more than an app; it’s an innovative ecosystem where games, entertainment, and food converge. With the Devour Platform, we’re tapping into the lifestyles of over 200 million U.S. gamers, offering a seamless blend of entertainment and convenience. Learn more at devour.io . devour.io devour.io About Coinbase Crypto creates economic freedom by ensuring that people can participate fairly in the economy, and Coinbase (NASDAQ: COIN) is on a mission to increase economic freedom for more than 1 billion people. We’re updating the century-old financial system by providing a trusted platform that makes it easy for people and institutions to engage with crypto assets, including trading, staking, safekeeping, spending, and fast, free global transfers. We also provide critical infrastructure for on-chain activity and support builders who share our vision that on-chain is the new online. And together with the crypto community, we advocate for responsible rules to make the benefits of crypto available around the world. For media inquiries or to request an interview with CEO Shelly Rupel, users can contact Leah Smith at press@devour.io Contact CMO Leah Smith Devour press@devour.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Crypto Just Got Hungrier: DevourGO Now Accepts Payments Via Coinbase Commerce

, the transformative next-gen web3 food ordering and engagement platform, today announced the addition of as a strategic advisor. PHOENIX, United States, January 29th, 2024/Chainwire/-- Devour Paul Barron Barron brings a wealth of experience and expertise across technology, media, and web3, making him a valuable asset to Devour's leadership team. Barron is the CEO and Analyst of the , a multimedia platform that educates and inspires audiences on the future of technology. With over 20 years of experience in computer science, consumer science, and digital media, Barron leverages his deep knowledge to produce engaging and insightful content across video, podcasts, research, and analytics. Paul Barron Network His focus areas include cutting-edge technologies like crypto and blockchain, AI, robotics, and consumer tech. Beyond his media ventures, Barron is also the founder of Rever Networks, Inc., a company dedicated to bridging the gap between blockchain advancements and established brands. He is the creator of the Market Sentiment Index, a powerful sentiment analysis tool used by leading players in blockchain, crypto, gaming, and NFTs. “We are thrilled to welcome Paul Barron to our team of advisors," said Shelly Rupel, CEO of Devour. "His deep understanding of hospitality, gaming, and web3 perfectly aligns with Devour's mission to redefine Gen Z experiences. Paul's expertise of gaming trends, and his grasp of web3's potential are invaluable assets as we shape the future of hospitality." Barron's expertise extends beyond technology. He is a recognized thought leader in new media and consumer science, having received numerous awards and honors for his work. He has been featured in prominent publications and media outlets, and his advisory and consulting services are sought after by businesses across various sectors seeking to navigate the ever-evolving tech landscape, integrate blockchain solutions, and prepare for the future of Web3. "Devour's audacious vision of gamifying food and building communities through tokenized experiences is like rocket fuel for Gen Z engagement," said Barron. “My expertise in bridging tech and consumer trends is a perfect match for their ambitious mission to meet Gen Z where they live, through tokenized campaigns and food-fueled gaming experiences”. Barron's appointment as advisor underscores Devour's commitment to building a best-in-class advisory board with the experience and vision to shape the future of web3. His diverse skill set and passion for technology will undoubtedly contribute to Devour's continued success. About Devour Devour is revolutionizing the digital dining experience with a cutting-edge platform that seamlessly integrates web3 token-gated ordering, promotions, and crypto payments. Our app, along with embeddable ordering and engagement solutions, caters to the preferences of over 200 million U.S. gamers. Our gamified loyalty, NFT-based competitions, and player rewards programs are powered by blockchain for a dynamic fusion of digital entertainment and the love of food. Join us in transforming how the digital generation engages with food, gaming, and entertainment. Users can learn more at . DevourGO devour.io Contact CEO Shelly Rupel Devour shelly@devour.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

Devour.io Announces Tech Analyst And Media Expert Paul Barron as Advisor

Fanaticism nor devoured by the desire of vengeance

There are decades when nothing happens, and weeks when decades happen. AI Is Eating E-Commerce The e-commerce industry has experienced steady and reliable growth over the last 20 years (albeit interrupted briefly by a global pandemic). Each year, more shoppers come online and more retailers light up their website, and together, the size of the pie gets a little bigger. But when it comes to the technology powering these e-commerce sites, not a lot has changed in a couple of decades. Shoppers still work their way through large catalogs of products, fiddling with filters, clicking through categories, guessing the right keywords, and swiping through product detail pages. Shoppers still have to do all of the work to find the perfect product that will make their day (or outfit). A time traveler from the 1990s would find most e-commerce sites look and operate today just like some of the first online shopping experiences during the early ‘dot com’ days. While shoppers appreciate access to a bigger selection of products, cheaper prices, and delivery convenience, the shopping experience still feels pretty subpar. It’s 2023; where are our jetpacks? Well in 2023, it’s safe to say that we’re about to get our shopping jetpacks thanks to breakthroughs in Artificial Intelligence (AI). Just like the popular saying, “Software is eating the world,” that describes the ways in which digital technology is transforming every industry, . AI is about to eat e-commerce Wait, What? The problem with e-commerce sites is they basically can’t understand humans. They are often a slick-looking web or mobile interface on top of a product database. So we as humans have to figure out how to speak computer lingo and tell this database what we’re looking for. We can filter, sort, and match keywords in the product articles, but, since the database is just a computer, it can’t really understand what shoppers are looking for. This is about to change dramatically. We just experienced a major breakthrough in AI that has transformed the way that computers can understand human language as beautifully illustrated by ChatGPT. Top 10 Ways AI Is Transforming E-commerce Here are 10 ways AI is going to transform e-commerce: From matching to understanding Results ranking gets supercharged Real-time data supercharges AI Everyone gets their own model Personalization finally arrives Learning via human feedback Conversational commerce Multi-model AI as a service: AI via API E-commerce gets scientific 1. From Matching to Understanding Search in e-commerce today blindly matches keywords typed in by a user, occasionally adding the odd synonym, before retrieving results from the database. : Before This leaves shoppers needing to think hard about the keyword guessing game, hoping to get the computer to return the perfect product. The is about to get a lot smarter. More sophisticated AI (based on the same models powering applications like ChatGPT) now truly understands the concepts shoppers are seeking and can match through AI the perfect products regardless of whether the keywords match. : Future search experience These models understand different languages, brands, colors, and synonyms, and they can pick needles out of haystacks even with the most open-ended search queries. 2. Results Ranking Gets Supercharged : E-commerce sites typically sort the keyword results according to which products are most popular and likely to lead to a sale. This ends up with the most popular (often bland) or cheapest products rising to the top. Before : . These new models create unique rankings for every individual using personalized data based on the shoppers’ behavior, how the AI understands the product based on the query, and real-time popularity and business supply and demand. After Ranking is super-powered by AI models These fusion models use learn-to-rank AI models to optimize the outcome for shoppers and deliver compelling results. 3. Real-time Data Supercharges AI E-commerce sites might use some analytics dashboards to understand the popularity of different products. Data might be updated once a day to the product catalog to power popularity sorting. Merchandisers may use this data to better promote items. Before: Every search, result view, click, product view, basket addition, and sale is immediately sent to live AI models to adapt in real-time to what the customer and the market are doing. After: Every experience is unique and powered by real-time learning: when the weather changes, when sales happen, or when new products land, the AI models can adapt at the speed of light. 4. Everyone Gets Their Own Model Every customer sees the same shopping experience. Vendors power every e-commerce site from the same algorithm. Before: : Every customer has their own AI model that is trained by every interaction they make on the website in real time. Every e-commerce site is powered by unique models trained and fine-tuned on the data provided by each site. Future 5. Personalization Finally Arrives Customers might get some basic levels of personalization after multiple visits and after registering an account. This personalization is centered on crude mainly “buy again” and some level of brand following. Before: Personalization starts after the first click and is live in every session, even for first time visitors. including home, search, browse, recommendations and even checkout. After: Personalization is used across all surfaces Vendors feel confident enough with their site’s personalization that they show customers what is being personalized and let the users configure settings to their preferences. 6. Merchandising = AI Learning Via Human Feedback : Merchandisers use intuition and educated guesswork to promote items and curate category pages. Often, merchandisers contradict each other’s choices, and half of the team can make things worse (but no one knows which half). Before . The AI automates the easy choices and hands them only the most important decisions to make. The machine then uses feedback to continuously improve its algorithm. After: Merchandisers have AI superpowers its Merchandisers spend more time refining the user experience, sharpening more effective intuition about their shoppers, and using that insight to teach AI. The AI in return can rate and inform merchandisers by letting them know how effective their changes were. 7. Conversational Commerce Average keyword length is < 3 words. Most search queries are just categories (like “dress”) or filters (“blue dress”). The site has amnesia and cannot remember the previous queries. Before: : Customers experience expert advice and guidance from a personalized chatbot within the site by asking questions and conversing in a human way. Conversations flow as the chatbot asks questions and refines products live in front of the user. After The bot learns about customer preferences and can provide expert advice to a customer choosing between similar products. Think: personal shopper or a genius in the Apple store. 8. Multimedia Shopping Products are simply text, listed in the title and description. Customers can only search using keywords. Before: Products are vivid and multi-dimensional. AI models can use images, videos and text to provide expert advice about them. The models use data from all over the web to understand products and brands. Customers can ask questions or use images or speech to search. After: Generative AI, for example, can show custom models in clothes and recommend outfits based on previous purchases. 9. AI as a Service: AI via API E-commerce sites are powered by complex, all-in-one monoliths that are impossible to extend and have “black box” transparency. Before: Everything, including the AI model, is composable and easy to integrate via developer-friendly APIs. Individual AI models are offered as-a-service, and charged per usage, with separate endpoints for search, browse, ranking, recommendations, etc. After: 10. E-commerce Gets Scientific E-commerce is an art where merchandisers and developers try to drive more conversions using intuition and gut feeling. It’s difficult to understand how to move the needle and if individual changes are leading to better outcomes for shoppers. Before: E-commerce is a science, where AI models are continuously fine-tuning and improving performance through A/B tests and experimentation that provide statistically significant evidence. After: The velocity and volume of experimentation accelerates, and shoppers vote with their clicks for what works and what doesn’t. Now What? In light of recent market breakthroughs like the rise of ChatGPT, we are now presented with new capabilities that will transform e-commerce by enabling businesses to provide seamless and personalized customer experiences like never before. Understanding what’s possible and knowing how to capitalize on new possibilities presented by AI to meet business and customer goals is the critical next step for companies who want to evolve and thrive in an AI-tech-led world – and we can . help you get there A good way to get started is to equip yourself with more AI search knowledge with . these resources from Algolia

AI Is Devouring E-Commerce

I hear what you are saying. There is that buzz around Android actively adopting Kotlin as a primary programming language. And don’t look good either. trends Things on a web-development front are not by a bit better. by providing suitable APIs. Most popular web-framework in Java supports more and more idiomatic Kotlin as we speak You can feel they are making their bet for the future. And it seems that this future is closer than you think. Now you are thinking. Should I make that bet, as well? Or is it just some hype that will die out in a year? That little mixed controversial sensation in your heart. It just keeps worrying you. You are unsure and afraid that if you don’t do something, then that new hire who is excited about Kotlin will convert your code base to Kotlin, and you’ll lose your productivity as a result. That makes you worry about your job position. On the contrary, you felt disappointed in previous programming language attempts to replace Java. You feel discouraged to trust new such attempt. There is no chance a new language can make its way to most of the legacy code bases or is there? Perhaps, you feel curious about why tech giants (such as Google and Spring Team) place their bet on Kotlin. Could it be that you are new to the code base, and still learning some new technologies you haven’t used before? And there are few Kotlin enthusiasts on your team, who have already started converting Java code to Kotlin code? And the rate of said conversion is alarming? That makes you feel confused and angry. You already have a lot of moving parts that you have to learn on your plate. That just adds more. If you don’t spend time learning Kotlin, you are afraid that you’ll have to transfer to a different project, which still uses Java. For now. If you do learn Kotlin, you are terrified it will be time wasted, as it will not take off as everyone promises. I know, right? How Can That New Team Member Convert The Whole Code Base to Kotlin in a Few Months? So can one team member make such a drastic change to your legacy code base? I mean, it is huge! There is no way a person can convert it all in the new language. So I can always stay mostly productive because the majority of the code will be in Java, right? Wrong! For you to understand how quickly Kotlin can consume your legacy Java application, I’m going to attach this image. It describes perfectly what I’ve seen so far: Kotlin is the programming language built by . They have quite a vast Java code base, as well. They made it their mission to create a language that they can use today in their code base. Not just for the new features. JetBrains How do you convert a Java file to Kotlin then? Probably, you write the same thing again in the new language. Then make all tests pass. That is pretty time-consuming. No way your project manager will allow such effort without a strong reason. Right? Nope. One hotkey. You’ve heard me right. It takes one keypress in IntelliJ to convert the Java file to Kotlin file. And in 99% of the cases, all the tests will still pass. You know what’s scarier? That works for the whole package, as well… Let me tell you a story. I have joined the project that had such a Kotlin enthusiast. They have convinced other team members to “try out” Kotlin for a single feature. The project was two and half years old. The size of a project was big enough to have multiple Gradle modules, and start extraction of some independent services. In two months nobody on the team was writing any Java anymore. Any Java file that needed to be changed to implement a user story was converted to Kotlin on sight. It is important to say that team’s velocity didn’t drop during these two months, as it didn’t take much time and effort to do the conversion. Especially, for Kotlin enthusiasts. They do such conversions all the time. Let me tell you another story. This time it was a non-successful conversion to Kotlin, for a change. But there is a catch, though. A few Kotlin enthusiasts joined the team at the same time. As they were already pretty experienced in converting Java to Kotlin, they just started doing it. The other half of team members were still learning the tech stack, as they were quite new on that code base. Kotlin was just adding other moving parts. They have resisted the change to Kotlin. The team agreed not to continue the conversion, as it will slow down getting these team members up to speed with already existing technology. But here is the catch. Upon one-on-one conversation, these team members liked Kotlin. And they were open to continuing the conversion once they feel more comfortable with the tech stack. I’m pretty confident in about half a year they will stop writing any Java, as well. Let me tell you the last story for today. It was a long-running project. Quite big and complex. I would consider it a legacy Java code base with more than ten macro-services (notice “macro” — not “micro”). One day, two team members asked a Kotlin enthusiast to help them try out Kotlin. They were curious because of all the buzz on the internet. And because that Kotlin enthusiast radiated passion about Kotlin. You can guess what has happened. In five months, nobody was writing Java code anymore on that team. Same story. And you know what is even more terrifying about that conversion? Once you’ve converted to Kotlin and started using Kotlin-exclusive features, it becomes hard to convert that code back to Java. There were enough of these would-be Java replacements in the past. And they’ve all failed to deliver on that promise. So what so different about Kotlin? How is This Java Replacement Attempt Different From Previous? A few words. 100% Java interoperability. You can easily have a mix of Kotlin and Java files in the same directory. Java can import Kotlin classes and use them as if they were Java classes without any weird syntax or tricks. The same goes for Kotlin. Kotlin code can import any of your Java classes and use them regularly as if they were Kotlin classes. There are no weird things like to set a value. object.field_$eq(value) To invoke a Java setter from Kotlin, you will use Kotlin syntax: . And to invoke a Kotlin setter from Java, you will just use normal setter method: . object.field = value object.setField(value) Kotlin code can implement Java interfaces and Java code can implement Kotlin interfaces. Kotlin has that interoperability as a top-priority feature of the language. That is because JetBrains team wanted to use Kotlin on their vast Java codebase right away. And without any pain. That enables you to convert only a single class from Java to Kotlin and not trigger humongous cascading changes. Sometimes you would still want to convert a few related files, but you don’t have to. Another reason why Kotlin is more likely to deliver on the promise of replacing Java is build tooling. Kotlin doesn’t need any unique build tooling. A Maven or Gradle plugin is sufficient. Moreover, Kotlin’s build times are extremely fast. It can be even faster than Java if you have incremental compilation enabled! Alright. As you can see, there are not so much of negative points on the scale of the trade-off with Kotlin. So what is on the positive side of the scale? What do you get when you stop writing Java and start writing Kotlin? So why tech giants like Android and Spring are placing their bet on Kotlin? So Why Tech Giants Are Placing Their Bet on Kotlin? Kotlin language is concise. It is concise without losing the readability of Java. Kotlin removes all the boilerplate that you see in a regular Java or Android application. Ever wanted stream API to be available directly on collection objects? Kotlin has that. Its standard library extends quite a few standard Java classes with additional functionality. That reduces boilerplate by a lot. Where you had to create five different classes to read a stream, Kotlin allows you just to do what you expect. To read that stream. Kotlin is safer than Java. It promotes nullability to the type system. That means that compiler can statically analyze your code and if you have a chance of a null-pointer exception somewhere — Kotlin code won’t compile. And these nullability checks are not even annoying like they are in other languages. That is thanks to smart casts. Let me show you an example: Compile error because quiz variable can be null Because returns (a nullable ) the compiler complains that you can’t directly call methods on variable because it can be . quizStorage.load(quizId) Quiz? Quiz quiz null So to make the compiler happy you will need to add a null check: By adding null-check we are fixing the compile error and making quiz “smart-casted” to non-nullable As you can see, is highlighted in a “special” way. If you hover over that variable, it will tell you that it has been smart-casted to type. quiz.moveToNextQuestion() Quiz Because compiler knows now, that variable cannot be at this point. quiz null In different languages with nullable types, you typically need to unwrap the nullable value to non-nullable. Even after you made a null-check! Such unwrap operation is unsafe. And therefore, another programmer (including your future self) won’t be warned if they remove your null-check. Smart casts are cool with that. As soon as someone removes the null-check — there will be a compile error. And there is a much more concise way to write the same thing — elvis operator : ?: Most null-checks can be eliminated using elvis operator to further simplify the code By the way, these examples are from my Ultimate Tutorial: Getting Started With Kotlin. It is a three-part tutorial in the form of e-book totaling 260 (and more in the future) pages of hands-on content that you can follow along. By this point, if you are interested in learning Kotlin, . download that Ultimate Kotlin Tutorial as a PDF here Not only you are going to get hands-on content from which you will learn to program in Kotlin. You will be able to ask me any question when you are stuck, and I will help you. Anyways. What is there more to Kotlin benefits? Apparently, if you spend enough time writing Kotlin, you will start writing more readable and robust Java code, as well. That is an interesting side-effect, isn’t it? A few friends of mine, even told me, that they would prefer to hire Kotlin developer over Java developer for the project that is all Java and doesn’t have Kotlin at all. Moreover, . So by just writing Kotlin for some time, you are going to learn how to write a better Java code. Not so bad, right? Kotlin took a lot of principles from “Effective Java” book and converted them to basic language concepts So what about the tooling? Is it easy to use Kotlin? Or will I have to give up my refactoring and Intelligent powers of my IDE to code in Kotlin? Am I going to have to write it like in a text editor again? No. Kotlin is made by JetBrains. It is the same company that made IntelliJ IDEA. They did their hardest to make sure you will feel at home when using Kotlin in IntelliJ. Current support is humongous. All the essential refactorings are already in place. And, as we speak, they add more and more. So is it a good time to learn some Kotlin now? Is it a Good Idea For You to Learn Kotlin Right Now? Of course, you will need to decide. If you were to ask me… In your shoes, I would go for it. Here is why. Even if Kotlin doesn’t deliver on the promise of replacing Java in most of the legacy code bases (or even for new ones), I know I’ve become a better Java programmer. Only that should make it worthwhile. Do you need more? I have that for you. For a programmer it is always worthwhile to be learning another language at any point in time. The only exception is if you are only just starting out. So if you are comfortable with your language, tech stack, and everything, and you are not learning any other programming language at the moment, it is a great idea to get your hands dirty with Kotlin. It is going to put things into perspective and take you out of your current bubble. It is always good. Learning is a skill. So the more you learn, the better and more efficient learner you become. Perhaps, you think you don’t have the time to learn a new skill because you have a full-time job, family, hobby, and everything else in your life? Then you should . learn how to find the time to learn a new skill when you are working full-time If you think you are up to the challenge of upgrading yourself from Java developer to Kotlin developer, . download the Ultimate Tutorial: Getting Started With Kotlin I genuinely thank you for reading, and I encourage you to give Kotlin a try. You have nothing to lose, anyway. And you can only benefit from that. If you want to make me happy, then you can give me claps on Medium (did you know you can give multiple?) and share it with your friends, on social networks, hacker news, Reddit, etc. More exciting reading _Developers often complain about technical debt and want to get some time to fix it. Be it a significant refactoring, or…_hackernoon.com For CTO: When is the time to pay technical debt? _I’m going to tell you a real story how we saved ourselves tons of time. The power of Kotlin’s @Deprecated refactoring…_hackernoon.com How Kotlin’s “@Deprecated” Relieves Pain of Colossal Refactoring? _You have firmly decided that you want to learn to create applications for Android using Kotlin. You are super motivated…_hackernoon.com Why Should I Learn Android?

How Kotlin Calamity Devours Your Java Apps Like Lightning?

Journalism, education, and creative fields are on the brink of being devoured by AI. The curtain may soon fall on these industries as we know them, as automation threatens not only jobs but the very integrity of these professions. Misinformation Overload AI’s ability to generate realistic yet false content has already proven to be a formidable threat. In journalism, where trust is the bedrock of the profession, deepfakes and fabricated news articles can easily be mistaken for legitimate reports. While misinformation is not a new phenomenon, AI supercharges it, creating a storm of falsehoods that even the most seasoned reporters may struggle to counter. The line between reality and fabrication is becoming perilously thin, and as trust in the media erodes, the foundations of journalism may crumble. Similarly, in education, students and teachers alike are at risk of being duped by AI-generated content that mimics authoritative sources. AI can produce essays, assignments, and even entire lesson plans with such polish that they seem credible at first glance. But beneath the surface, much of this content lacks depth and accuracy, leaving educators fighting an uphill battle to foster critical thinking in a world flooded with hollow AI creations. Job Displacement in the Age of Automation The promise of AI lies in its efficiency. In newsrooms and classrooms across the globe, this efficiency is poised to become a double-edged sword. Why pay journalists to write basic news stories when AI can churn out articles in seconds at a fraction of the cost? The automation of content generation risks sidelining human writers, pushing them to the fringes of an industry they once dominated. In education, AI-powered tutoring, grading, and content-generation platforms are creeping in, threatening to make teachers redundant in certain roles. While these tools may offer quick fixes to labor shortages or large class sizes, they also risk hollowing out the teaching profession itself. If we rely too heavily on AI to teach, will we end up with students who only know how to follow a machine’s logic rather than think critically for themselves? The creative fields, too, face a grim future. AI can now compose music, generate art, and even write scripts. What happens to the graphic designers, musicians, and writers who used to be sought after for their originality and skill? As AI-generated content floods the market, human creators risk being sidelined and relegated to niche roles while algorithms take over the mainstream. The Erosion of Quality There’s another less visible yet insidious aspect to AI’s rise: the erosion of quality and creative integrity. Journalism, at its best, involves nuance, investigation, and storytelling—qualities that are lost when AI is used to churn out formulaic articles. Sure, AI can write grammatically sound sentences, but can it craft an investigative report that changes the course of a political scandal? Can it unearth hidden truths or provide context to complex global issues? The answer, for now, is no. In education, the use of AI-generated essays and assignments could create a generation of students who don’t fully engage with the material. If students learn to rely on AI to do the thinking for them, the purpose of education—to foster critical inquiry—could be fatally undermined. Moreover, if teachers themselves begin to lean too heavily on AI to generate lesson plans, the quality of education may degrade into cookie-cutter content delivery devoid of real intellectual engagement. For creatives, the danger is equally real. Art, music, and writing are deeply human expressions driven by emotion, experience, and unique perspectives. AI lacks these attributes. While AI can mimic styles and create technically proficient works, it cannot replace the human spirit behind them. If AI-generated art becomes the norm, we may find ourselves living in a world where originality and authenticity are casualties of convenience. Intellectual Property and the Ethics of Creation Beyond the issue of quality is the ethical quagmire of intellectual property. AI models learn from vast amounts of data, often scraping content from the internet without proper attribution. Journalists, educators, and artists who have spent their lives honing their craft are now seeing their work repurposed by machines with little to no compensation or recognition. In journalism, AI’s ability to scrape and regurgitate content raises concerns about plagiarism, while in education, students could unwittingly submit AI-generated essays containing copyrighted material, leading to legal entanglements. Creators in the arts are facing an even more direct assault, as AI systems trained on their work can reproduce styles that are unmistakably theirs, yet no legal frameworks exist to protect these creators from such exploitation. The Dependence Dilemma Perhaps the greatest long-term risk is the dependence that generative AI fosters. The more we rely on AI to produce news, educate students, and create art, the more we risk losing the very skills that make us human. Journalists, who once took pride in their ability to uncover hidden stories, may lose their investigative edge. Students may forgo deep learning for quick answers. Creatives may lose the very drive that pushes them to innovate. Once these skills are eroded, can they ever be fully restored? If we reach a point where society’s critical thinkers and creators are replaced by algorithms, we may find that we’ve sacrificed more than just jobs—we’ve sacrificed human ingenuity, creativity, and, perhaps most dangerously, our ability to question the world around us. A Call for Caution Generative AI is not going away. It is powerful, efficient, and potentially revolutionary. But, like all disruptive technologies, it must be managed with care. If we do not take steps to protect the professions of journalism, education, and the creative arts, we risk losing them to machines that, for all their capabilities, cannot replace the human qualities that make these fields so vital to our society. The curtain may be poised to fall, but it doesn’t have to. Thoughtful regulation, ethical frameworks, and a recommitment to human skill and creativity can ensure that AI is a tool for enhancement, not a harbinger of the end. For now, however, the future looks bleak, and we must act quickly if we hope to change the narrative. About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com Journalism, education, and creative fields are on the brink of being devoured by AI. The curtain may soon fall on these industries as we know them, as automation threatens not only jobs but the very integrity of these professions. Misinformation Overload AI’s ability to generate realistic yet false content has already proven to be a formidable threat. In journalism, where trust is the bedrock of the profession, deepfakes and fabricated news articles can easily be mistaken for legitimate reports. While misinformation is not a new phenomenon, AI supercharges it , creating a storm of falsehoods that even the most seasoned reporters may struggle to counter. The line between reality and fabrication is becoming perilously thin, and as trust in the media erodes, the foundations of journalism may crumble. AI supercharges it Similarly, in education, students and teachers alike are at risk of being duped by AI-generated content that mimics authoritative sources . AI can produce essays, assignments, and even entire lesson plans with such polish that they seem credible at first glance. But beneath the surface, much of this content lacks depth and accuracy, leaving educators fighting an uphill battle to foster critical thinking in a world flooded with hollow AI creations. AI-generated content that mimics authoritative sources Job Displacement in the Age of Automation The promise of AI lies in its efficiency. In newsrooms and classrooms across the globe, this efficiency is poised to become a double-edged sword. Why pay journalists to write basic news stories when AI can churn out articles in seconds at a fraction of the cost ? The automation of content generation risks sidelining human writers, pushing them to the fringes of an industry they once dominated. AI can churn out articles in seconds at a fraction of the cost In education, AI-powered tutoring, grading, and content-generation platforms are creeping in, threatening to make teachers redundant in certain roles . While these tools may offer quick fixes to labor shortages or large class sizes, they also risk hollowing out the teaching profession itself. If we rely too heavily on AI to teach, will we end up with students who only know how to follow a machine’s logic rather than think critically for themselves? teachers redundant in certain roles The creative fields, too, face a grim future. AI can now compose music, generate art, and even write scripts . What happens to the graphic designers, musicians, and writers who used to be sought after for their originality and skill? As AI-generated content floods the market, human creators risk being sidelined and relegated to niche roles while algorithms take over the mainstream. compose music, generate art, and even write scripts The Erosion of Quality There’s another less visible yet insidious aspect to AI’s rise: the erosion of quality and creative integrity . Journalism, at its best, involves nuance, investigation, and storytelling—qualities that are lost when AI is used to churn out formulaic articles. Sure, AI can write grammatically sound sentences, but can it craft an investigative report that changes the course of a political scandal? Can it unearth hidden truths or provide context to complex global issues? The answer, for now, is no. the erosion of quality and creative integrity In education, the use of AI-generated essays and assignments could create a generation of students who don’t fully engage with the material. If students learn to rely on AI to do the thinking for them, the purpose of education—to foster critical inquiry— could be fatally undermined . Moreover, if teachers themselves begin to lean too heavily on AI to generate lesson plans, the quality of education may degrade into cookie-cutter content delivery devoid of real intellectual engagement. could be fatally undermined For creatives, the danger is equally real. Art, music, and writing are deeply human expressions driven by emotion, experience, and unique perspectives. AI lacks these attributes. While AI can mimic styles and create technically proficient works, it cannot replace the human spirit behind them . If AI-generated art becomes the norm, we may find ourselves living in a world where originality and authenticity are casualties of convenience. it cannot replace the human spirit behind them Intellectual Property and the Ethics of Creation Beyond the issue of quality is the ethical quagmire of intellectual property. AI models learn from vast amounts of data, often scraping content from the internet without proper attribution . Journalists, educators, and artists who have spent their lives honing their craft are now seeing their work repurposed by machines with little to no compensation or recognition. scraping content from the internet without proper attribution In journalism, AI’s ability to scrape and regurgitate content raises concerns about plagiarism, while in education, students could unwittingly submit AI-generated essays containing copyrighted material, leading to legal entanglements. Creators in the arts are facing an even more direct assault, as AI systems trained on their work can reproduce styles that are unmistakably theirs, yet no legal frameworks exist to protect these creators from such exploitation. The Dependence Dilemma Perhaps the greatest long-term risk is the dependence that generative AI fosters . The more we rely on AI to produce news, educate students, and create art, the more we risk losing the very skills that make us human. Journalists, who once took pride in their ability to uncover hidden stories, may lose their investigative edge. Students may forgo deep learning for quick answers. Creatives may lose the very drive that pushes them to innovate. dependence that generative AI fosters Once these skills are eroded, can they ever be fully restored? If we reach a point where society’s critical thinkers and creators are replaced by algorithms, we may find that we’ve sacrificed more than just jobs—we’ve sacrificed human ingenuity, creativity, and, perhaps most dangerously, our ability to question the world around us. A Call for Caution Generative AI is not going away. It is powerful, efficient, and potentially revolutionary. But, like all disruptive technologies, it must be managed with care. If we do not take steps to protect the professions of journalism, education, and the creative arts, we risk losing them to machines that, for all their capabilities, cannot replace the human qualities that make these fields so vital to our society. The curtain may be poised to fall, but it doesn’t have to. Thoughtful regulation, ethical frameworks, and a recommitment to human skill and creativity can ensure that AI is a tool for enhancement, not a harbinger of the end. For now, however, the future looks bleak, and we must act quickly if we hope to change the narrative. About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com https://docligot.com

AI is Eating Journalism, Education, and Creatives

AI ጋዜጠኝነትን፣ ትምህርትን እና ፈጠራዎችን እየበላ ነው።

ШІ з'ядае журналістыку, адукацыю і творчасць

La IA se está comiendo el periodismo, la educación y los creativos

AI kazetaritza, hezkuntza eta sormenak jatea da

هوش مصنوعی روزنامه نگاری، آموزش و خلاقیت را می خورد

AIがジャーナリズム、教育、クリエイティブを飲み込んでいる

AI - бұл журналистика, білім және шығармашылықпен айналысады

AI ezali Kolia Journalisme, Éducation, na ba Créatifs

AI ēd žurnālistiku, izglītību un radošumu

AI бол сэтгүүл зүй, боловсрол, бүтээлч зүйлийг идэж байна

AI iri Kudya Journalism, Dzidzo, uye Zvigadzirwa

AI аст, мехӯрад журналистика, маориф ва эҷодкорӣ

Reminder: Bitcoin CAN Make Civilization Sane

38 Lifehacks From "Tools of Titans" by Tim Ferriss

Remember when content marketing and outreach were about collaboration, mutual growth, and the sharing of ideas? When you could approach a website with a guest post that was meticulously crafted, packed with value, and the kind of content their audience would devour? You'd spend hours researching the site's tone, audience, and content style, ensuring your post was a perfect fit. All of this effort with the simple hope that your work would be welcomed, shared, and, in return, you'd gain a valuable backlink and some well-earned exposure. Well, those days are gone. Dead and buried under the weight of the almighty dollar and the hyperlink commodity, Nowadays, content marketing, particularly the act of pitching guest posts, has turned into an absolute nightmare. What should be a straightforward exchange of value has morphed into a rigged game where the rules are clear: pay up, or your content goes straight to the trash. Webmasters who once embraced quality contributions now respond to pitches with one-liners that boil down to, "How much are you willing to pay for this?" The frustrating irony is that these gatekeepers of the internet often don't care about the value, originality, or relevance of your content anymore. All that matters is the size of your wallet. The more you’re willing to cough up, the quicker you’ll see your post live on their site—regardless of whether it even aligns with their audience's interests. It’s not just small-time bloggers or niche sites pulling this stunt either. Even well-established websites with substantial audiences, platforms you’d think would be dying for quality content, have jumped on the pay-to-play bandwagon. They’ll string you along with promises of exposure and credibility, only to drop the fee bomb after you’ve spent time writing and revising your post to meet their so-called “standards.” And let's not even get started on the pricing. Some of these sites are demanding exorbitant fees, amounts that are outright ridiculous when you consider that you’re essentially paying to give them free content. It’s like being asked to pay for the privilege of doing someone else’s job. It completely undermines the essence of what guest posting and content marketing was meant to be about—sharing knowledge, building relationships, and contributing to a community. The worst part? This practice is eroding trust across the board. Content creators are growing disillusioned, and webmasters who still believe in genuine collaboration are becoming harder to find, buried under a pile of pay-for-play sites that see every email pitch as an opportunity to cash in. What should be an ecosystem of mutual benefit has become a marketplace where creativity and expertise are commodified and devalued. So, what’s the point of it all now? Why bother spending hours writing and pitching guest posts when you know the conversation will eventually circle back to a dollar amount? The whole process has become so jaded that it's hard to even muster the enthusiasm to pitch anymore. It feels like every genuine effort is just another opportunity for someone to turn a profit at your expense. So, content marketing and outreach have lost their way. The pursuit of backlinks, visibility, and collaboration has been hijacked by greed. Until the industry remembers the true value of content—beyond the dollar signs—this once-powerful tool for growth and connection will remain a shadow of its former self. Remember when content marketing and outreach were about collaboration, mutual growth, and the sharing of ideas? When you could approach a website with a guest post that was meticulously crafted, packed with value, and the kind of content their audience would devour? You'd spend hours researching the site's tone, audience, and content style, ensuring your post was a perfect fit. All of this effort with the simple hope that your work would be welcomed, shared, and, in return, you'd gain a valuable backlink and some well-earned exposure. Well, those days are gone. Dead and buried under the weight of the almighty dollar and the hyperlink commodity, Nowadays, content marketing, particularly the act of pitching guest posts, has turned into an absolute nightmare. What should be a straightforward exchange of value has morphed into a rigged game where the rules are clear: pay up, or your content goes straight to the trash. Webmasters who once embraced quality contributions now respond to pitches with one-liners that boil down to, "How much are you willing to pay for this?" The frustrating irony is that these gatekeepers of the internet often don't care about the value, originality, or relevance of your content anymore. All that matters is the size of your wallet. The more you’re willing to cough up, the quicker you’ll see your post live on their site—regardless of whether it even aligns with their audience's interests. It’s not just small-time bloggers or niche sites pulling this stunt either. Even well-established websites with substantial audiences, platforms you’d think would be dying for quality content, have jumped on the pay-to-play bandwagon. They’ll string you along with promises of exposure and credibility, only to drop the fee bomb after you’ve spent time writing and revising your post to meet their so-called “standards.” And let's not even get started on the pricing. Some of these sites are demanding exorbitant fees, amounts that are outright ridiculous when you consider that you’re essentially paying to give them free content. It’s like being asked to pay for the privilege of doing someone else’s job. It completely undermines the essence of what guest posting and content marketing was meant to be about—sharing knowledge, building relationships, and contributing to a community. The worst part? This practice is eroding trust across the board. Content creators are growing disillusioned, and webmasters who still believe in genuine collaboration are becoming harder to find, buried under a pile of pay-for-play sites that see every email pitch as an opportunity to cash in. What should be an ecosystem of mutual benefit has become a marketplace where creativity and expertise are commodified and devalued. So, what’s the point of it all now? Why bother spending hours writing and pitching guest posts when you know the conversation will eventually circle back to a dollar amount? The whole process has become so jaded that it's hard to even muster the enthusiasm to pitch anymore. guest posts It feels like every genuine effort is just another opportunity for someone to turn a profit at your expense. So, content marketing and outreach have lost their way. The pursuit of backlinks, visibility, and collaboration has been hijacked by greed. Until the industry remembers the true value of content—beyond the dollar signs—this once-powerful tool for growth and connection will remain a shadow of its former self.

The Death of Genuine Content Outreach: How Pitching A Guest Post Has Become a Pay Game

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