Police are searching for armed robbers who entered a luxury store in Manhattan over the weekend and stole thousands of dollars in merchandise — a shocking crime in broad daylight that was caught on surveillance video. The three robbers got away with around $50,000 in luxury goods from the ...

Meatpacking District robbery: Armed robbers hit Manhattan Gucci store – NBC New York

A trio of suspects were caught on video holding up a Gucci store in New York City&#x27;s Meatpacking District, brandishing a gun and making off with merchandise.

Armed trio rob NYC Gucci store for $51,000 worth of merchandise | Fox Business

New surveillance footage shows the three suspects who robbed a Gucci store in the Meatpacking District on Monday.

NYC Gucci store robbed: Video shows 3 suspects robbing luxury shop in Meatpacking District - ABC7 New York

The robbers fled to New Jersey through the Lincoln Tunnel in a black Honda CR-V and are still being sought.

VIDEO: NYC Gucci store raided by armed crooks, $51K in bags, sunglasses stolen

Three people stormed into a Gucci in Lower Manhattan on Monday, flashed a gun and made off with the upscale merchandise. They remain on the loose, according to police.

NYC Gucci store robbed in broad daylight by brazen gun-toting crew

Police said three suspects entered the store on West 14th and Ninth Avenue, ordered everyone to get down on the floor and then robbed the shop.

Suspects make off with $50,000 worth of items in daring midday robbery of Gucci store in Meatpacking District - CBS New York

The suspects told everyone in the store to get down before stealing an unknown amount of luggage.

NYC Gucci store robbed: Search on for 3 suspects who robbed boutique in Meatpacking District - ABC7 New York

The NYPD is searching for the three suspects who robbed a Gucci store on Monday in the Meatpacking District.

Trio forces customers to the ground in gunpoint robbery at Meatpacking Gucci store

Armed robbers gave new meaning to the term “Gucci gang” on Monday when they held up the popular luxury brand&#x27;s Meatpacking District store, authorities and

Gucci gunners: Robbers stick up luxury retail store in Meatpacking District | amNewYork

Both labels are trying to reignite sales and push upmarket, but convincing consumers won’t be easy. Runway shows this week will be another chance to make their case. That, plus what else to watch for in the coming days.

Burberry and Gucci: Two Brands With Something to Prove This Week | BoF

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Studies and Sketches for Pictures and Decorations

Arguably GraphQL is one the most popular convention to Fetch or render Data for Front-End or even Store and Update data for Backend. Well, Rest-API is also there as an alternative to GraphQL but there are many Drawbacks Using Rest-API convention. I won't go deeper into what are the differences between GraphQL and Rest-API since this topic is all about building up a GraphQL server. We will be making a GraphQL server and will be using Express to Host our server and rest will be manipulated using GraphQL. First and make sure you have Nodejs Installed on your Machine. you can cross check that using this command node -v or npm - v, this will show you the working version of Node. Open up your terminal Make a Directory Named using the command and then cd into the gserver folder. gserver mkdir Next hit the command npm init - -yes this will make a json package for our project. Building up the Package.json Next stuff is to add to our Project so run , Express npm install express --save Make a on the code editor. This is the main file from where our server will be executed so visit the and change the new file called server.js package.json “main”: “index.js” to “main”: “server.js”. renaming index.js to server.js Open up the server.js Folder and Type up this following code: starter code First, we need to install 2 dependencies express-graphql and graphql, so on your terminal run: npm i express-graphql graphql Express is needed to run our express server and express-graphql will make a bridge connection with GraphQL and Express. we make an instance of the app using const app = express(); app.use( ) acts as a middleware like whatever we pass into the app.use function will serve as a connection of GraphQL and Express. app.use takes in two parameters one is a route and another is the file which will be used inside the route, for now, we have graphql which is set to true. This is a basic code that you will have to write for nearly starting projects. app.listen() is used to indicate on which port our app will run. To run our server run: node server.js Now our basic server is ready to run but you will see an error on your but I want you to run and check out the error as understanding errors make you a better learner. localhost: 4000/graphql GraphQL middleware doesn't have a schema. You see the error which states that the GraphQL middleware doesn't contain a schema file, so now we have to make a schema file. So what is this ? well in simple words, a schema file is the structure that our graphQL will contain, to be precise it's just like an content of a book or index of a project. Schema file so we make a folder on your project folder and make a schema.js file inside it ( Schema folder -> schema.js Inside the schema file, we will import our requirements Express as of now and the GraphQL dependencies. Type the code to your schema.js file: Schema.js Don't worry too much that why we did destructure the all the contents to graphql, for now just know that we will be requiring all these stuff later. Now let's move to do something else building our JSON data server, is the dependency we will be requiring to make a fake API database to work with. Json-server so stop the current running program in the terminal by pressing ctrl+C on windows and command+C on mac. add -> npm install json-server --save Now make a db.json file inside the gserver folder. Type out this following Code inside db.json:- db.json We will be having 2 types of fields Users and companies. Carefully read the JSON file with the data once to understand the fields of users and companies. You see both users and companies have an ID field which is most important as an id of a user or a company can tell your whole details. I have added a field inside user so that we can also evaluate which user works in which company from the user field itself. “companyId” We will be further working on building up the relationship with the user and the company. for now, let's add a second server to host the JSON database, Open up a 2nd terminal and run the command json-server - -watch db.json. On your web browser visit: or companies to view their fields. http://localhost:3000/users Now let's build up our schema.js, open up schema.js and make up the User field. user.js We are making a new constructor function passing a name and a field as an object. Inside the fields, we will input the field and their type as an object. you must be wondering why we passed an anonymous function inside the fields object, we did so because of javascript closure. As we are linking a user to a company and also the company to a user so we need to use as a function to avoid errors. Next job is to make a RootQuery, a root query is where an query field will be executed first then the RootQuery will decide where to pass the query. - suppose you pass a query to find a user with id:”23" so the query will pass to the RootQuery and there we have something called resolvers, resolvers will check where to pass the query then it passes the query to the relevant field and then the field gets executed. Example: Next to fetch the data from the JSON server we can use fetch() or axios.get(), here I will using my favorite axios.get(). So on terminal install axios by typing npm install axios -- save. next import by typing this one line on schema.js: const axios = require(‘axios’); Now type out this code in schema .js under UserType: User’s resolver We are doing the same for RootQuery, making a constructor passing 2 objects as name and fields. Inside the fields we have user as we will be making resolver for user, inside we have a type: UserType same as the name of the constructor. args is basically arguments that we want a query to execute, here we want the graphQl to query the id. We have the main resolver after that, we pass 2 arguments root and args, in most of the time inside RootQuery we won't be using root by still we have to have that as an arguments. After that, we are simply fetching the id with axios as we passed the id as an argument. now at the last, you will have to export the RootQuery as thats our main query. Add this to the last of file: schema.js module.exports To run, we have to do another thing inside the server.js, remember we were getting an error when we tried to run the graphQL server first time and we got an error such as schema missing from middleware its time to import the schema that we just made to server.js import the schema file inside the server.js and add schema to the middleware, NOTE: schema is case -sensitive inside the middleware, it is always lowercase schema. importing schema to server.js Now let's run our GraphQl server, on our browser open the link again: You will see the GraphQL playground coming up. http://localhost:4000/graphql . GraphQL server This is our GraphQL playground where we can write our Queries. To the right, you can see the Documentation Explorer: it is very helpful when we write complex queries, it shows the total structure of our fields. Click on RootQueryType and you will see this: user(id: String): User We are ready to run our first Query: Query To the left-hand side is our query and the right-hand side is the data that we fetch from the query. The data we get is simply a JSON object. If you are getting something like please recheck the code or the written query again. user: null Wow, that was a lot of a task just to run our first Query and I accept that when you are typing out the query for the first time its like so big but once you type your query out you will find everything repetitive. Next is your JOB, I want you to code the Company field yourself looking at the Users field. It's mostly the same way that we will do. Here is the next part: _In the previous article, we successfully coded the User field and also ran our Query in the GraphiQL also I gave u a…_medium.com Easiest Way to Build a GraphQL Server from Scratch using Express- (Part 2)

Build a GraphQL Server from Scratch using Express- (Part 1)

HONG KONG, Hong Kong, November 4th, 2024/Chainwire/--Legend of Arcadia(LoA) , a new card-based RPG set in an expansive universe inspired by Kingdom Hearts, is bringing a community-driven operational model to Web3 gaming. With a focus on sustainable growth, LoA aims to establish itself as a leading platform by integrating blockchain technology, unique NFT mechanics, and community-centric features that foster long-term player engagement. As the Web3 gaming industry is forecasted to grow to $305 billion by 2030, LoA stands out by addressing key sustainability issues that have previously limited the success of Web3 gaming ventures. Many blockchain-based games have struggled with player retention and engagement, often due to unsustainable reward systems. LoA’s approach, built on years of gaming experience from its team’s work with industry leaders like Tencent, Hero Entertainment, and Seasun Studios, centers on creating an inclusive, feedback-driven community. Community-Driven Growth And Operations Legend of Arcadia (LoA), a card-based RPG game built on a vast story universe inspired by Kingdom Hearts, has a strong vision for reimagining live operations in Web3, called community-driven operations. The formula combines building a sticky and vocal community driven by a strong feedback loop and nimble implementation of the ideas. This has helped LoA stand out from others. The team has spent the past two years perfecting the formula based on their decade-long experience in driving high DAU and retention at leading game companies such as Tencent, Hero Entertainment, and Seasun Studios. At the same time, building a 60k+ strong community with users that actively interact with the team and provide them with feedback. The right feedback loop between the community and the developer has led to innovative tactics for driving community engagement. For example, rather than hosting traditional alpha tests, the team mixed the idea of esports and competition and invited people to form their own teams to compete during the test. This led to a brand new Guild called Alter Ego Guild being formed in the community, and they remain some of the game’s biggest supporters, helping new players onboard and get deep into LoA. During its three-month campaign, LoA had 100,000+ registered users with minimal marketing spend. It also has very high next-day and 7-day retention of 75% and 56%, respectively, higher than many traditional games' 50% and 20%. As it moves towards its TGE and official game launch, the community continues to provide feedback and support the team. With backing from 10+ investors, including Animoca Brands and OKX Ventures, LoA can further develop the game's vastness, ensuring the community is constantly engaged with new content and utilities of its native token, $ARCA. This ranges from the endless possibilities of different NFT heroes to the countless actions and ways to earn $ARCA tokens. Innovative NFT Mechanics and Extensive Gameplay In LoA, each NFT hero is unique, with randomized genetic traits such as appearance and abilities drawn from a large gene pool of over five trillion combinations, including over 48 types of basic attributes, 40,000+ skill combinations, and more than 28 million gene combinations. This ensures that no two NFT heroes are the same. The game team, supported by AI, has also created countless words and storylines, shaping different toy characters and enriching the stories of LoA. It also enhances player retention by implementing seasonal demands created by the in-game mechanics, which will eventually boost the trading volume. $ARCA Token Distribution and Roadmap In LoA, players can earn tokens through a variety of activities and strategies involving their NFT heroes. Inspired by a system commonly used in web2 games, by combining White Ores from mining with Black Ores earned in battles, they can produce $ARCA tokens. Heroes can also be customized through special events and features, which not only alter their appearance but can also provide gameplay advantages, such as enhanced mining power when using event-specific skins. Players can also participate in PvE content by clearing dungeons and defeating bosses for valuable loot or diving into PvP battles to compete against others for rewards and climb seasonal leaderboards for even greater gains. To further boost their earnings, players can stake $ARCA tokens, unlocking additional rewards like free NFTs or a share of profits from NFT sales, adding another layer of value to their in-game investments. In addition to earning tokens through in-game monetization, LoA further enhances sustainability by distinguishing between in-game and external economic factors. This structure allows players to monetize external elements, such as staking $ARCA tokens for special privileges and rewards or sharing in proceeds from NFT assets. This approach aims to foster long-term value creation over short-term speculative gains. LoA will have a total supply of 40,000,000 $ARCA tokens that are distributed among seven pools where each pool will be further subdivided into different rank tiers based on the amount of Gacha Points earned. With countless opportunities and activities in the world of LoA, the game constantly rejuvenates the excitement of its community and players, which will ensure its sustainability in the long run. The game also has plans for extensive single-player content (PVE mode) and multiplayer modes where players can form teams and challenge others in real-time battles. Legend of Arcadia is currently set to launch in November 2024. About Legend of Arcadia Legend of Arcadia (LOA) is a card-based RPG game built on a vast story universe inspired by Kingdom Hearts. LOA is built with the latest technology for the modern gamer, powered by blockchain. Players can enjoy the game for free, on the go, on a mobile device, and socialize in real-time with gamers from across the globe through immersive PvP game modes and by trading highly composable NFTs. Website | X | Discord Contact PR Manager Kelvin Yeo Everest Ventures Group kelvin.yeo@evg.co This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here HONG KONG, Hong Kong, November 4th, 2024/Chainwire/--Legend of Arcadia(LoA) , a new card-based RPG set in an expansive universe inspired by Kingdom Hearts, is bringing a community-driven operational model to Web3 gaming. With a focus on sustainable growth, LoA aims to establish itself as a leading platform by integrating blockchain technology, unique NFT mechanics, and community-centric features that foster long-term player engagement. As the Web3 gaming industry is forecasted to grow to $305 billion by 2030, LoA stands out by addressing key sustainability issues that have previously limited the success of Web3 gaming ventures. Many blockchain-based games have struggled with player retention and engagement, often due to unsustainable reward systems. $305 billion $305 billion LoA’s approach, built on years of gaming experience from its team’s work with industry leaders like Tencent, Hero Entertainment, and Seasun Studios, centers on creating an inclusive, feedback-driven community. Community-Driven Growth And Operations Legend of Arcadia (LoA), a card-based RPG game built on a vast story universe inspired by Kingdom Hearts, has a strong vision for reimagining live operations in Web3, called community-driven operations. Legend of Arcadia Legend of Arcadia The formula combines building a sticky and vocal community driven by a strong feedback loop and nimble implementation of the ideas. This has helped LoA stand out from others. The team has spent the past two years perfecting the formula based on their decade-long experience in driving high DAU and retention at leading game companies such as Tencent, Hero Entertainment, and Seasun Studios. At the same time, building a 60k+ strong community with users that actively interact with the team and provide them with feedback. The right feedback loop between the community and the developer has led to innovative tactics for driving community engagement. For example, rather than hosting traditional alpha tests, the team mixed the idea of esports and competition and invited people to form their own teams to compete during the test. This led to a brand new Guild called Alter Ego Guild being formed in the community, and they remain some of the game’s biggest supporters, helping new players onboard and get deep into LoA. During its three-month campaign, LoA had 100,000+ registered users with minimal marketing spend. It also has very high next-day and 7-day retention of 75% and 56%, respectively, higher than many traditional games' 50% and 20%. As it moves towards its TGE and official game launch, the community continues to provide feedback and support the team. With backing from 10+ investors, including Animoca Brands and OKX Ventures, LoA can further develop the game's vastness, ensuring the community is constantly engaged with new content and utilities of its native token, $ARCA. This ranges from the endless possibilities of different NFT heroes to the countless actions and ways to earn $ARCA tokens. Innovative NFT Mechanics and Extensive Gameplay In LoA, each NFT hero is unique, with randomized genetic traits such as appearance and abilities drawn from a large gene pool of over five trillion combinations, including over 48 types of basic attributes, 40,000+ skill combinations, and more than 28 million gene combinations. This ensures that no two NFT heroes are the same. The game team, supported by AI, has also created countless words and storylines, shaping different toy characters and enriching the stories of LoA. It also enhances player retention by implementing seasonal demands created by the in-game mechanics, which will eventually boost the trading volume. $ARCA Token Distribution and Roadmap In LoA, players can earn tokens through a variety of activities and strategies involving their NFT heroes. Inspired by a system commonly used in web2 games, by combining White Ores from mining with Black Ores earned in battles, they can produce $ARCA tokens. Heroes can also be customized through special events and features, which not only alter their appearance but can also provide gameplay advantages, such as enhanced mining power when using event-specific skins. Players can also participate in PvE content by clearing dungeons and defeating bosses for valuable loot or diving into PvP battles to compete against others for rewards and climb seasonal leaderboards for even greater gains. To further boost their earnings, players can stake $ARCA tokens, unlocking additional rewards like free NFTs or a share of profits from NFT sales, adding another layer of value to their in-game investments. In addition to earning tokens through in-game monetization, LoA further enhances sustainability by distinguishing between in-game and external economic factors. This structure allows players to monetize external elements, such as staking $ARCA tokens for special privileges and rewards or sharing in proceeds from NFT assets. This approach aims to foster long-term value creation over short-term speculative gains. LoA will have a total supply of 40,000,000 $ARCA tokens that are distributed among seven pools where each pool will be further subdivided into different rank tiers based on the amount of Gacha Points earned. With countless opportunities and activities in the world of LoA, the game constantly rejuvenates the excitement of its community and players, which will ensure its sustainability in the long run. The game also has plans for extensive single-player content (PVE mode) and multiplayer modes where players can form teams and challenge others in real-time battles. Legend of Arcadia is currently set to launch in November 2024. About Legend of Arcadia Legend of Arcadia (LOA) is a card-based RPG game built on a vast story universe inspired by Kingdom Hearts. LOA is built with the latest technology for the modern gamer, powered by blockchain. Players can enjoy the game for free, on the go, on a mobile device, and socialize in real-time with gamers from across the globe through immersive PvP game modes and by trading highly composable NFTs. Legend of Arcadia Legend of Arcadia Website | X | Discord Website Website X X Discord Discord Contact PR Manager Kelvin Yeo Everest Ventures Group kelvin.yeo@evg.co 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

Legend Of Arcadia: Redefining Community-Driven Operations

የአርካዲያ አፈ ታሪክ፡ በማህበረሰብ የሚመሩ ስራዎችን እንደገና መወሰን

Legend Of Arcadia: новае азначэнне аперацый, якія кіруюцца супольнасцю

Legenda o Arkadiji: Redefiniranje operacija vođenih zajednicom

Legend Of Arcadia: Omdefinering af fællesskabsdrevne operationer

Leyenda de Arcadia: redefiniendo las operaciones impulsadas por la comunidad

Legend Of Arcadia: ridefinire le operazioni guidate dalla comunità

レジェンド・オブ・アルカディア：コミュニティ主導の運営の再定義

រឿងព្រេងរបស់ Arcadia៖ កំណត់ឡើងវិញនូវប្រតិបត្តិការដែលជំរុញដោយសហគមន៍

ຄວາມຫມາຍຂອງ Arcadia: Redefining ການດໍາເນີນງານທີ່ຂັບເຄື່ອນໂດຍຊຸມຊົນ

Легенда за Аркадија: Редефинирање на операции водени од заедницата

Legjenda e Arcadia: Ripërcaktimi i operacioneve të drejtuara nga komuniteti

Legend Of Arcadia: Переосмислення діяльності, керованої спільнотою

In July 2023, I had the opportunity to start working remotely for a couple of blockchain companies. Not wanting to waste a single moment of this opportunity, I dove into a digital nomad lifestyle, traveling across three continents, 13 countries, and 20 cities over the course of a year. Even before I graduated college, I started working in an office at an IT startup, so after three and a half years of office work, there was nothing more liberating and enchanting than opening my MacBook in cafés with an uniquely exotic backdrops. The freedom to go anywhere I wanted was ecstasy. During the first three months of remote work, I probably visited almost every café in Seoul. Then, I went on a trip to Europe with my parents and also visited my sister in Philadelphia, working remotely while traveling freely. Then, at the beginning of 2024, I decided to set off to Southeast Asia, starting with a month-long stay in Bangkok, the mecca for digital nomads in Asia after Bali. Experienced digital nomads would usually pack as lightly as possible, but as an overjoyed beginner, I left home with a fully packed 25kg suitcase and a 7kg carry-on. Of course, I regretted it several times along the way. My luggage included multiple dresses that would have been a bit too flashy to wear in Korea, along six pairs of shoes in anticipation of any special occasion that might just come up. I was so thrilled that I even published a post on my Medium blog titled How I Became a Digital Nomad in 6 Months With No Coding Skills. At the time of the post, I only had 22 subscribers, but it gained quite a bit of traction, attracting 20 new fans and receiving over 100 reactions. Seeing the enthusiastic response to my blog, which remains my most popular piece to this day, I was able to reaffirm that this lifestyle is something many people aspire to. This reaffirmation became very valuable to me because, in reality, the digital nomad life I experienced was lonely, unstable, and extremely stressful. The idea of breaking free from the constraints of traditional work and daily life felt like such an adventure for me. I thought that my days would be filled with delightful peaks if I just stepped outside of my regular routine—so much so that I packed six pairs of shoes! But reality turned out to be quite different. Settling into new places is undoubtedly fun and exciting, but even the excitement of newness becomes routine after about two weeks - but this is all on just the surface-level of our perception. Within our subconscious systems, circuits and gears are working tirelessly to adapt to the new environments we’ve placed ourselves in. When we’re in unfamiliar surroundings, our brain’s orientation system activates. This system helps us navigate our surroundings, recognize patterns, and adjusts our behavior accordingly. The hippocampus and amygdala play key roles in this process, helping us to perceive and remember spatial information and evaluate safety within those spaces. This cognitive load that comes from processing a vast amount of new stimuli and situations consumes significant brain energy, unlike the familiar routine tasks that used to take minimal effort. Imagine your brain only used to walk familiar paths, but now everywhere needs is new and needs to be calculated. As this cognitive load builds up until the environment feels sufficiently familiar, we start to consciously experience it as pressure or stress. I never stayed in a single city for over a month. I had believed the best way to get the most of remote work was to explore as many places as possible. The second reason was that until I felt certain that this was the right place to settle down, I didn’t want to deal with the uninspiring hassle of administrative procedures like visa issuance. At that time, my job involved frequent business trips, so I often planned my travels by extending my stay for a few weeks at the locations I visited for work. However, my ambition in wanting to see the world, and failure to take the leap and commit resulted in a cumulative unconscious workload of constantly having to adapt to multiple places in a short period—which scientifically resulted into stress. Moreover, I had full-time work on my plate, which psychologically felt like a heavier burden than it should have been. I was working more hours and on the weekends trying to make up for the time that I spent unfocused. I often found myself getting irritated with people around me, fearing I wouldn’t complete tasks on time, or becoming almost obsessive about getting things done in a certain way. I think I had this underlying sense of being unable to control my life in constantly changing environments, and it was quite overwhelming. Excerpt from my journal entry on the 12th of February, 2024 which is 19 days after I arrive in Bangkok. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Back home, I maintained a regular routine with five workouts a week with home-cooked meals. However, when my fatigue level reached its peak, it became difficult to stick to my regular exercise routine at local gyms, and even cooking meals at home became a luxury once I started traveling. I knew that home-cooked meals are the best, so I bought the necessary soy sauce, Gochujang, Mulyeot etc. that were needed to cook Korean meals when I arrived at my first destination in Southeast Asia. However, I didn’t even get to use a quarter of them before leaving them behind as I moved on to Phuket, making eating out was much less wasteful. Korean food abroad is more expensive than it is in Korea, and healthy meals are just as pricey. So, I mostly relied on local cuisine, and found it increasingly difficult to keep up with the oily fried dishes and unfamiliar flavors. While it's quite obvious that traveling would make it hard to maintain the diet I wanted, I intend to highlight the irony of how gaining freedom in place means but losing freedom in meals. Now, I often joke that people living this lifestyle should be called "digital homeless" rather than digital nomads. In fact, historically, nomadic living was primarily based on collective or communal life. However, digital nomads don't travel with their community. They travel alone, or sometimes as a couple. So in my joke, the word "home" in "digital homeless" doesn’t refer to a house or an apartment, but rather to a community where one belongs— family, friends, colleagues, and neighbors. Yes, there are digital nomad communities that can be accessed anywhere in the world, but those digital nomad communities can be more simply put as ‘a group of strangers that hosts co-working and after hour bar sessions’. A community isn’t a community until it starts feeling like yours over a period of time. A segment of people from history that actually resembles a digital nomad would be the Mountain Hermits and Monastic Wanderers. For example, Christian hermits in medieval Europe or wandering Buddhist monks in East Asia often chose to live away from home, moving from place to place to find spiritual enlightenment, or solitude. So, why do people choose the digital nomad lifestyle? Like the wandering Buddhist monks and Christian hermits - the instability and stress from exploring so many different places does in fact provide spiritual enlightenment and growth. That’s the for story next week. Thanks for reading. In July 2023, I had the opportunity to start working remotely for a couple of blockchain companies. Not wanting to waste a single moment of this opportunity, I dove into a digital nomad lifestyle, traveling across three continents, 13 countries, and 20 cities over the course of a year. Even before I graduated college, I started working in an office at an IT startup, so after three and a half years of office work, there was nothing more liberating and enchanting than opening my MacBook in cafés with an uniquely exotic backdrops. The freedom to go anywhere I wanted was ecstasy . During the first three months of remote work, I probably visited almost every café in Seoul. Then, I went on a trip to Europe with my parents and also visited my sister in Philadelphia, working remotely while traveling freely. liberating enchanting ecstasy Then, at the beginning of 2024, I decided to set off to Southeast Asia, starting with a month-long stay in Bangkok, the mecca for digital nomads in Asia after Bali. Experienced digital nomads would usually pack as lightly as possible, but as an overjoyed beginner, I left home with a fully packed 25kg suitcase and a 7kg carry-on. Of course, I regretted it several times along the way. My luggage included multiple dresses that would have been a bit too flashy to wear in Korea, along six pairs of shoes in anticipation of any special occasion that might just come up. I was so thrilled that I even published a post on my Medium blog titled How I Became a Digital Nomad in 6 Months With No Coding Skills . At the time of the post, I only had 22 subscribers, but it gained quite a bit of traction, attracting 20 new fans and receiving over 100 reactions. Seeing the enthusiastic response to my blog, which remains my most popular piece to this day, I was able to reaffirm that this lifestyle is something many people aspire to. This reaffirmation became very valuable to me because, in reality, the digital nomad life I experienced was lonely , unstable , and extremely stressful . How I Became a Digital Nomad in 6 Months With No Coding Skills lonely unstable extremely stressful The idea of breaking free from the constraints of traditional work and daily life felt like such an adventure for me. I thought that my days would be filled with delightful peaks if I just stepped outside of my regular routine—so much so that I packed six pairs of shoes! But reality turned out to be quite different. Settling into new places is undoubtedly fun and exciting, but even the excitement of newness becomes routine after about two weeks - but this is all on just the surface-level of our perception. Within our subconscious systems, circuits and gears are working tirelessly to adapt to the new environments we’ve placed ourselves in. When we’re in unfamiliar surroundings, our brain’s orientation system activates. This system helps us navigate our surroundings, recognize patterns, and adjusts our behavior accordingly. The hippocampus and amygdala play key roles in this process, helping us to perceive and remember spatial information and evaluate safety within those spaces. This cognitive load that comes from processing a vast amount of new stimuli and situations consumes significant brain energy, unlike the familiar routine tasks that used to take minimal effort. Imagine your brain only used to walk familiar paths, but now everywhere needs is new and needs to be calculated. As this cognitive load builds up until the environment feels sufficiently familiar, we start to consciously experience it as pressure or stress. orientation system As this cognitive load builds up until the environment feels sufficiently familiar, we start to consciously experience it as pressure or stress. I never stayed in a single city for over a month. I had believed the best way to get the most of remote work was to explore as many places as possible. The second reason was that until I felt certain that this was the right place to settle down, I didn’t want to deal with the uninspiring hassle of administrative procedures like visa issuance. At that time, my job involved frequent business trips, so I often planned my travels by extending my stay for a few weeks at the locations I visited for work. However, my ambition in wanting to see the world , and failure to take the leap and comm it resulted in a cumulative unconscious workload of constantly having to adapt to multiple places in a short period—which scientifically resulted into stress. ambition in wanting to see the world failure to take the leap and comm Moreover, I had full-time work on my plate, which psychologically felt like a heavier burden than it should have been. I was working more hours and on the weekends trying to make up for the time that I spent unfocused. I often found myself getting irritated with people around me, fearing I wouldn’t complete tasks on time, or becoming almost obsessive about getting things done in a certain way. I think I had this underlying sense of being unable to control my life in constantly changing environments , and it was quite overwhelming . underlying sense of being unable to control my life in constantly changing environments overwhelming Excerpt from my journal entry on the 12th of February, 2024 which is 19 days after I arrive in Bangkok. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Back home, I maintained a regular routine with five workouts a week with home-cooked meals. However, when my fatigue level reached its peak, it became difficult to stick to my regular exercise routine at local gyms, and even cooking meals at home became a luxury once I started traveling. I knew that home-cooked meals are the best, so I bought the necessary soy sauce, Gochujang, Mulyeot etc. that were needed to cook Korean meals when I arrived at my first destination in Southeast Asia. However, I didn’t even get to use a quarter of them before leaving them behind as I moved on to Phuket, making eating out was much less wasteful. Korean food abroad is more expensive than it is in Korea, and healthy meals are just as pricey. So, I mostly relied on local cuisine, and found it increasingly difficult to keep up with the oily fried dishes and unfamiliar flavors. While it's quite obvious that traveling would make it hard to maintain the diet I wanted, I intend to highlight the irony of how gaining freedom in place means but losing freedom in meals. the irony of how gaining freedom in place means but losing freedom in meals. Now, I often joke that people living this lifestyle should be called "digital homeless" rather than digital nomads. In fact, historically, nomadic living was primarily based on collective or communal life. However, digital nomads don't travel with their community. They travel alone, or sometimes as a couple. So in my joke, the word "home" in "digital homeless" doesn’t refer to a house or an apartment, but rather to a community where one belongs— family, friends, colleagues, and neighbors. Yes, there are digital nomad communities that can be accessed anywhere in the world, but those digital nomad communities can be more simply put as ‘a group of strangers that hosts co-working and after hour bar sessions’. A community isn’t a community until it starts feeling like yours over a period of time. Now, I often joke that people living this lifestyle should be called "digital homeless" rather than digital nomads. digital nomad communities A community isn’t a community until it starts feeling like yours over a period of time. A segment of people from history that actually resembles a digital nomad would be the Mountain Hermits and Monastic Wanderers . For example, Christian hermits in medieval Europe or wandering Buddhist monks in East Asia often chose to live away from home, moving from place to place to find spiritual enlightenment, or solitude. Mountain Hermits Monastic Wanderers So, why do people choose the digital nomad lifestyle? So, why do people choose the digital nomad lifestyle? Like the wandering Buddhist monks and Christian hermits - the instability and stress from exploring so many different places does in fact provide spiritual enlightenment and growth. That’s the for story next week. Thanks for reading.

The Reality of Digital Nomads: Chasing Adventure, Finding What?

حقيقة البدو الرقميين: ملاحقة المغامرة، العثور على ماذا؟

Рэальнасць лічбавых качэўнікаў: у пагоні за прыгодамі, у пошуку чаго?

La realidad de los nómadas digitales: ¿en busca de aventuras y qué encuentran?

Digitaalisten nomadien todellisuus: jahtaavat seikkailua, mitä löytää?

A realidade dos nómadas dixitais: perseguindo aventuras, buscando que?

Stvarnost digitalnih nomada: jureći avanturu, pronaći što?

デジタル遊牧民の現実: 冒険を追い求めて、何を見つけるのか?

ຄວາມເປັນຈິງຂອງ Digital Nomads: ແລ່ນການຜະຈົນໄພ, ຊອກຫາຫຍັງ?

De realiteit van digitale nomaden: op zoek naar avontuur, wat vinden?

Rzeczywistość cyfrowych nomadów: w pogoni za przygodami i w znalezieniu czego?

ڈیجیٹل خانہ بدوشوں کی حقیقت: مہم جوئی کا پیچھا کرنا، کیا تلاش کرنا؟

Inyani yeeNomads zeDijithali: Ukusukela i-Adventure, ukufumana ntoni?

Sounds (“Music”) and Images (“Art”) have been somewhat conquered by GenAI; it’s never been easier to create slop that’s “close enough” to the real thing. Creatives have taken notice, with 73% of them now believing that AI will significantly impact their industry. Fashion has up until now been somewhat disconnected from these conversations. Sure, it’s a creative sector, but it also has glamor… and a certain exclusivity that makes AI’s infinite abundance seem gauche in comparison. But times are changing, and even the Milanese are now asking if machines could craft the kind of cultural cachet luxury designers have spent lifetimes building.’ Three researchers — Page Moreau from the University of Wisconsin-Madison, Emanuela Prandelli from Bocconi University, and Martin Schreier from WU Vienna — recently added complexity to this debate with a research paper titled, “Generative Artificial Intelligence and Design Co-Creation in Luxury New Product Development: The Power of Discarded Ideas.” Their research explores whether generative AI can compete with human designers when it comes to luxury fashion… and how consumers may react to machine-made chic. Can AI Design Fashion Luxury? The researchers teamed up with AwayToMars, Missoni, and IBM Watson to create and sell t-shirts designed either by human designers or by AI. The AI, IBM Watson, was trained on designs previously discarded by AWTM, using machine learning to generate new design ideas based on recurring features and patterns. They conducted a controlled experiment with over 1,000 participants and analyzed real sales data of the t-shirts over 20 weeks. The results? Consumers preferred AI-designed t-shirts — but only if they didn’t know they were designed by AI. When the source was revealed, consumer enthusiasm waned. Sales data showed a whopping 127% increase for AI-designed shirts compared to human-designed ones. Turns out, when fashion is sold without disclaimers, AI might just have a better eye for the cutting edge. What Does This Mean for the Fashion Industry? AI-designed products can outsell human creations. In fact, AI-generated t-shirts outsold their human-designed counterparts by more than twofold in the study. This means that any sense of superiority capitalistically-inclined designers may have needed to be adjusted to a new reality. Consumer perception of AI is still a barrier. When consumers were informed that designs were AI-generated, their willingness to pay for the garments decreased (“Knowing that a luxury fashion item was designed by AI reduced consumers’ responses towards it.”) This reflects an ongoing distrust of AI’s creative capability. Some may be tempted to hide the use of AI in the face of these results, but consumers also value transparency, and laws are being proposed to improve that transparency. This no doubt will be the toughest nut to crack in the near future. AI can enhance brand identity. The AI-designed shirts more effectively embodied Missoni’s signature zigzag patterns and brand codes compared to the human designs. This can be well-received by customers and can reinforce a brand identity if used properly. “Trash” is more useful than we think. The AI drew inspiration from designs that had been previously discarded — transforming “waste” into wearable art. This highlights how AI’s capacity to learn from mass data can unlock the value of overlooked ideas. This is without a doubt my favorite part of the study. How Do We Move Forward? This is a lot to take in; enough to give fashion executives some vertigo. While they get their bearings, there are a few things the fashion community can push for. We need to implement mandatory AI disclosure in product descriptions. Transparency is crucial. Consumers should know if an item was designed by AI, even if it impacts their perception negatively. If 44% of participants disliked AI-designed fashion when informed, brands need to confront this distrust head-on to avoid backlash. “AI aversion” (as another study called it) suggests that transparency is necessary but should be handled with care. Brands might want to frame AI’s role in a positive light by focusing on efficiency, sustainability, or co-creation to mitigate negative perceptions. Fashion Houses need to expertly blend AI with humans. The AI designs from the study could have been reviewed and improved by designers, I’m sure. Allowing designers to steer AI’s outputs could preserve the “luxury touch” that customers associate with human creativity while benefiting from AI’s efficiency. This may even lead to better margins and perhaps (?) better pay for artisans who surely deserve it. Fashion houses need to establish strict, all-encompassing guidelines to future-proof their expertise. This includes establishing standards for what training data is used… and what data cannot/should not be used. AI in creative industries often relies on massive datasets, some of which are sourced unethically. Ensuring AI is trained ethically on licensed or voluntarily contributed data is key to gaining consumer trust. Nothing says luxury like ethics… right? Right? Above all, consumers need to be educated. Brands should invest in educating consumers on the strengths of AI for design — including sustainability and efficiency, where algorithms are likely well-placed to have an impact. Highlighting how AI uses discarded materials creatively, as seen with Missoni, could positively shift consumer sentiment. Where the Research Paper Falls Short While Moreau, Prandelli, and Schreier’s study brings some interesting insights to light, it is not without flaws. For one, all participants were business school students — hardly representative of the global, diverse consumer base of luxury fashion. It also didn’t explore whether consumers would prefer designs if AI had been marketed as an “assistant” rather than a “creator”. Furthermore, the research only touched upon visual identity, ignoring other sensory elements such as fabric texture and craftsmanship, which are crucial in luxury fashion. For future research, I’d love to see how AI fares when tasked with creating high-fashion couture pieces rather than simple t-shirts. How does it navigate avant-garde aesthetics or evolving cultural nuances? Probably not very well. Are Designers Doomed? Generative AI in luxury fashion is like a bold new fabric. One that can dazzle but also fray under scrutiny. If handled with care, AI could provide a much-needed spark of innovation while pushing the boundaries of design. The key lies in its careful integration, transparency, and cooperation with human experts. A future where AI complements, rather than replaces, human creativity isn’t just desirable… it might be our only shot at saving the soul of luxury. Good luck out there. Sounds (“Music”) and Images (“Art”) have been somewhat conquered by GenAI; it’s never been easier to create slop that’s “ close enough ” to the real thing. Creatives have taken notice, with 73% of them now believing that AI will significantly impact their industry . Sounds Images close enough 73% of them now believing that AI will significantly impact their industry Fashion has up until now been somewhat disconnected from these conversations. Sure, it’s a creative sector, but it also has glamor… and a certain exclusivity that makes AI’s infinite abundance seem gauche in comparison. But times are changing, and even the Milanese are now asking if machines could craft the kind of cultural cachet luxury designers have spent lifetimes building.’ Three researchers — Page Moreau from the University of Wisconsin-Madison, Emanuela Prandelli from Bocconi University, and Martin Schreier from WU Vienna — recently added complexity to this debate with a research paper titled, “ Generative Artificial Intelligence and Design Co-Creation in Luxury New Product Development: The Power of Discarded Ideas . ” Page Moreau Emanuela Prandelli Martin Schreier Generative Artificial Intelligence and Design Co-Creation in Luxury New Product Development: The Power of Discarded Ideas Generative Artificial Intelligence and Design Co-Creation in Luxury New Product Development: The Power of Discarded Ideas . Their research explores whether generative AI can compete with human designers when it comes to luxury fashion… and how consumers may react to machine-made chic. Can AI Design Fashion Luxury? The researchers teamed up with AwayToMars , Missoni , and IBM Watson to create and sell t-shirts designed either by human designers or by AI. The AI, IBM Watson, was trained on designs previously discarded by AWTM, using machine learning to generate new design ideas based on recurring features and patterns. They conducted a controlled experiment with over 1,000 participants and analyzed real sales data of the t-shirts over 20 weeks. AwayToMars Missoni The results? Consumers preferred AI-designed t-shirts — but only if they didn’t know they were designed by AI . When the source was revealed, consumer enthusiasm waned. Sales data showed a whopping 127% increase for AI-designed shirts compared to human-designed ones. but only if they didn’t know they were designed by AI Turns out, when fashion is sold without disclaimers, AI might just have a better eye for the cutting edge. What Does This Mean for the Fashion Industry? AI-designed products can outsell human creations. In fact, AI-generated t-shirts outsold their human-designed counterparts by more than twofold in the study. This means that any sense of superiority capitalistically-inclined designers may have needed to be adjusted to a new reality. AI-designed products can outsell human creations. In fact, AI-generated t-shirts outsold their human-designed counterparts by more than twofold in the study. This means that any sense of superiority capitalistically-inclined designers may have needed to be adjusted to a new reality. AI-designed products can outsell human creations. Consumer perception of AI is still a barrier. When consumers were informed that designs were AI-generated, their willingness to pay for the garments decreased (“Knowing that a luxury fashion item was designed by AI reduced consumers’ responses towards it.”) This reflects an ongoing distrust of AI’s creative capability. Some may be tempted to hide the use of AI in the face of these results, but consumers also value transparency, and laws are being proposed to improve that transparency. This no doubt will be the toughest nut to crack in the near future. Consumer perception of AI is still a barrier. When consumers were informed that designs were AI-generated, their willingness to pay for the garments decreased ( “Knowing that a luxury fashion item was designed by AI reduced consumers’ responses towards it.”) This reflects an ongoing distrust of AI’s creative capability. Some may be tempted to hide the use of AI in the face of these results, but consumers also value transparency, and laws are being proposed to improve that transparency. This no doubt will be the toughest nut to crack in the near future. Consumer perception of AI is still a barrier. “Knowing that a luxury fashion item was designed by AI reduced consumers’ responses towards it.”) AI can enhance brand identity. The AI-designed shirts more effectively embodied Missoni’s signature zigzag patterns and brand codes compared to the human designs. This can be well-received by customers and can reinforce a brand identity if used properly. AI can enhance brand identity. The AI-designed shirts more effectively embodied Missoni’s signature zigzag patterns and brand codes compared to the human designs. This can be well-received by customers and can reinforce a brand identity if used properly. AI can enhance brand identity. “Trash” is more useful than we think. The AI drew inspiration from designs that had been previously discarded — transforming “waste” into wearable art. This highlights how AI’s capacity to learn from mass data can unlock the value of overlooked ideas. This is without a doubt my favorite part of the study. “Trash” is more useful than we think. The AI drew inspiration from designs that had been previously discarded — transforming “waste” into wearable art. This highlights how AI’s capacity to learn from mass data can unlock the value of overlooked ideas. This is without a doubt my favorite part of the study. “Trash” is more useful than we think. How Do We Move Forward? This is a lot to take in; enough to give fashion executives some vertigo. While they get their bearings, there are a few things the fashion community can push for. We need to implement mandatory AI disclosure in product descriptions. We need to implement mandatory AI disclosure in product descriptions. Transparency is crucial. Consumers should know if an item was designed by AI, even if it impacts their perception negatively. If 44% of participants disliked AI-designed fashion when informed, brands need to confront this distrust head-on to avoid backlash. “AI aversion” ( as another study called it ) suggests that transparency is necessary but should be handled with care. as another study called it Brands might want to frame AI’s role in a positive light by focusing on efficiency, sustainability, or co-creation to mitigate negative perceptions. Fashion Houses need to expertly blend AI with humans. Fashion Houses need to expertly blend AI with humans. The AI designs from the study could have been reviewed and improved by designers, I’m sure. Allowing designers to steer AI’s outputs could preserve the “luxury touch” that customers associate with human creativity while benefiting from AI’s efficiency. This may even lead to better margins and perhaps (?) better pay for artisans who surely deserve it. Fashion houses need to establish strict, all-encompassing guidelines to future-proof their expertise. Fashion houses need to establish strict, all-encompassing guidelines to future-proof their expertise. This includes establishing standards for what training data is used… and what data cannot/should not be used. AI in creative industries often relies on massive datasets, some of which are sourced unethically. Ensuring AI is trained ethically on licensed or voluntarily contributed data is key to gaining consumer trust. Nothing says luxury like ethics… right? Right? Above all, consumers need to be educated. Above all, consumers need to be educated. Brands should invest in educating consumers on the strengths of AI for design — including sustainability and efficiency, where algorithms are likely well-placed to have an impact. Highlighting how AI uses discarded materials creatively, as seen with Missoni, could positively shift consumer sentiment. Where the Research Paper Falls Short While Moreau , Prandelli , and Schreier ’s study brings some interesting insights to light, it is not without flaws. For one, all participants were business school students — hardly representative of the global, diverse consumer base of luxury fashion. Moreau Prandelli Schreier It also didn’t explore whether consumers would prefer designs if AI had been marketed as an “assistant” rather than a “creator”. Furthermore, the research only touched upon visual identity, ignoring other sensory elements such as fabric texture and craftsmanship, which are crucial in luxury fashion. For future research, I’d love to see how AI fares when tasked with creating high-fashion couture pieces rather than simple t-shirts. How does it navigate avant-garde aesthetics or evolving cultural nuances? Probably not very well. Are Designers Doomed? Generative AI in luxury fashion is like a bold new fabric. One that can dazzle but also fray under scrutiny. If handled with care, AI could provide a much-needed spark of innovation while pushing the boundaries of design. The key lies in its careful integration, transparency, and cooperation with human experts. A future where AI complements, rather than replaces, human creativity isn’t just desirable… it might be our only shot at saving the soul of luxury. Good luck out there.

Would You Still Love a $500 T-Shirt If You Knew AI Designed It?

Sal jy steeds van 'n $500 T-hemp hou as jy geweet het dat KI dit ontwerp het?

AI ዲዛይኑን ካወቁ አሁንም የ500 ዶላር ቲሸርት ይወዳሉ?

¿Aún te gustaría una camiseta de 500 dólares si supieras que fue diseñada por una IA?

اگر می دانستید که هوش مصنوعی آن را طراحی کرده است، آیا هنوز عاشق یک تی شرت 500 دلاری هستید؟

यदि आपको पता हो कि 500 डॉलर की टी-शर्ट को AI ने डिज़ाइन किया है, तो क्या आप उसे अब भी पसंद करेंगे?

Ti piacerebbe ancora una maglietta da 500 dollari se sapessi che è stata progettata dall'intelligenza artificiale?

AI がデザインした 500 ドルの T シャツをまだ気に入っていますか?

კიდევ გიყვართ 500 დოლარიანი მაისური, თუ იცოდით, რომ ხელოვნური ინტელექტის დიზაინია?

AI가 디자인했다고 해도 500달러짜리 티셔츠를 여전히 좋아할까요?

ایا تاسو به بیا هم د 500 ډالرو ټي شرټ خوښ کړئ که تاسو پوهیږئ چې AI یې ډیزاین کړی؟

Xana Wa Ha Swi Rhandza Xikipa Xa R1 000 Loko U Swi Tiva Leswaku AI Yi Xi Endlile?

Bạn có còn thích áo phông giá 500 đô la không nếu biết nó được thiết kế bởi AI?

AIR-Bench: A New Benchmark for Large Audio-Language Models

The Greedy Miner’s Dilemma: Flaws in DAG-Based Consensus Protocols

Using MinIO to Build a Retrieval Augmented Generation Chat Application

Die gebruik van MinIO om 'n herwinningsaansoek vir uitgebreide generasie-klets te bou

استخدام MinIO لبناء تطبيق دردشة يعتمد على الاسترجاع المعزز

Použití MinIO k vytvoření aplikace pro chat s rozšířenou generací načítání

Verwenden von MinIO zum Erstellen einer Retrieval Augmented Generation Chat-Anwendung

Uso de MinIO para crear una aplicación de chat de generación aumentada de recuperación

MinIO を使用して検索拡張生成チャット アプリケーションを構築する

ការប្រើប្រាស់ MinIO ដើម្បីបង្កើតកម្មវិធីជជែកកំសាន្តដែលបង្កើតឡើងវិញ

Mampiasa ny MiniIO hananganana fampiharana amin'ny chat Generation Augmented Retrieval

د ترلاسه کولو وده شوي نسل چیٹ غوښتنلیک جوړولو لپاره MinIO کارول

Použitie MinIO na zostavenie aplikácie na rozhovor s rozšírenou generáciou načítania

MinIO-dan peýdalanyp, gözlegiň giňeldilen nesil söhbetdeşlik programmasyny gurmak

Paggamit ng MiniIO para Bumuo ng Retrieval Augmented Generation Chat Application

There's been a flurry of news coming out about Microsoft and its relationship with OpenAI ever since the ChatGPT maker raised an additional $6 billion in funding in early October. Publicly, Microsoft has been mum about its exact ownership in OpenAI, but news media, as well as analysts, are now offering a glimpse. But first, the big picture. Sam Altman, who has publicly spoken of the need to raise trillions of dollars, raised $6.6 billion in new funding for his startup at the start of October. There were already reports that OpenAI was looking to raise money, so the company's announcement did not come as a surprise at all. What was surprising, however, was how somber the press release was. At three paragraphs long, OpenAI mentioned how much it raised ($6.6 billion), how much it was worth ($157 billion), and what it needed the money for (mostly corporate fluff about advancing its mission). Inconspicuously missing was a mention of who participated in the funding, and how much, if at all, Microsoft invested in the company. And so of course, the news media was left to fill in the gaps. And fill the gaps it did. According to reports, Thrive Capital put in most of the funds at $1.3 billion and negotiated an option to invest another $1 billion next year if OpenAI meets a certain revenue target. Thrive Capital is led by Josh Kushner, who is the brother of Donald Trump's son-in-law Jared Kushner. Khosla Ventures, Fidelity, and Nvidia were also identified as investors in the funding round. And yes, so was Microsoft, which reportedly invested $750 million in OpenAI. GET PUBLISHED ON HACKERNOON.
Join a global network of  45,000+ published devs, builders,  founders, makers, VCs, hodlrs, and  hackers. Start submitting your tech  stories and tutorials to get  published FREE on HackerNoon — no pop-ups,  no paywalls. Now, three quarters of a billion sounds like an impressive figure until you realize that this is perhaps the least amount of money Microsoft has invested in OpenAI in a single go. Microsoft invested $1 billion in OpenAI in 2019, and then another $10 billion in 2023, with a couple of other capital injections here and there. In total, Microsoft has invested around $14 billion in the creator of ChatGPT, and it's no wonder that Sam Altman has described OpenAI's relationship with the Windows maker as the "best bromance in tech." Well, the best "bromance" in tech is coming to a rude awakening as both sides spar over how much equity Microsoft will receive as OpenAI shifts gears to a for-profit entity. Regardless of how much Microsoft ends up owning, it's certain that it will be less than it used to be, and perhaps, this is by design. The company has never acknowledged how much of OpenAI it controlled, but media outlets pegged that number at 49%, just shy of an outright majority. So when Microsoft announced even more investments in OpenAI, European regulators were considering reviewing whether such financing would trigger scrutiny under the bloc's merger rules. That is now less likely to happen as Microsoft's stake is likely to have been diluted following OpenAI's October financing, bringing two key advantages: less regulatory scrutiny and a hedging of bets should things go south. Microsoft really had no plans to withhold funds from OpenAI, but something changed after the whole leadership fiasco at the company in November 2023. Sam Altman's firing by the company's board raised a lot of eyebrows, and even as Microsoft Satya Nadella facilitated Altman's return to OpenAI, the seed of doubt had already been planted in the CEO's mind. Today, The New York Times reports, relationship between OpenAI and Microsoft are "strained," with questions over the financial viability of OpenAI as it continues seeking both money and computing power to keep operating. So does that mean Microsoft is stepping back? Not quite. Both sides have a symbiotic relationship in which OpenAI depends on Microsoft for cloud computing and Microsoft depends on OpenAI for artificial intelligence. But this interdependence is now causing friction as OpenAI thinks Microsoft charges too much for its service and Microsoft thinks it's too dependent on OpenAI for its technology. "Microsoft could be left behind if it is only using OpenAI technologies,” Gil Luria, an analyst at the investment bank D.A. Davidson, was quoted as saying by the NYT. “It is a real race — and OpenAI may not win it." Meanwhile, analysts at investment bank UBS say Microsoft's relationship with OpenAI may be its most strategic yet as the artificial intelligence startup expects to grow its revenue to $100 billion by 2029. But that growth isn't going to come without its cost, and where will that money go? To Microsoft. Since a vast majority of OpenAI training and inference is run on Azure. So the more OpenAI earnings, the more it spends, and the more Microsoft makes, even if its stake is not as high as it used to be. And even with Sam Altman contracting Oracle for some of his company's computing needs, Microsoft still benefits since it just now needs to spend less on developing the data centers needed to power OpenAI. So if you ever thought that the artificial intelligence story was anything other than an attempt by big companies to empower themselves, here's your wakeup call. It just might be about the money 🤑🤑🤑 Microsoft ranked #4 on HackerNoon's Tech Company Rankings this week. In Other News.. 📰 No, Polymarket Whales Aren't Evidence of Prediction Market Manipulation — via CoinDesk
Notion’s email product is nearing launch — via TechCrunch
Elon Musk says he’ll fix the government under Trump. His track record paints a different picture — via CNN
Nvidia CEO Jensen Huang gets rock star treatment from India's tech enthusiasts — via Reuters
Meta's new facial recognition helps recover accounts, spot fake ads — via Axios
Why Meta and Snap are spending billions on AR glasses— via CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. There's been a flurry of news coming out about Microsoft and its relationship with OpenAI ever since the ChatGPT maker raised an additional $6 billion in funding in early October. Publicly, Microsoft has been mum about its exact ownership in OpenAI, but news media, as well as analysts, are now offering a glimpse. Microsoft Microsoft OpenAI OpenAI But first, the big picture. Sam Altman, who has publicly spoken of the need to raise trillions of dollars, raised $6.6 billion in new funding for his startup at the start of October. There were already reports that OpenAI was looking to raise money, so the company's announcement did not come as a surprise at all. raise raise raised raised already reports already reports What was surprising, however, was how somber the press release was. At three paragraphs long, OpenAI mentioned how much it raised ($6.6 billion), how much it was worth ($157 billion), and what it needed the money for (mostly corporate fluff about advancing its mission). was Inconspicuously missing was a mention of who participated in the funding, and how much, if at all, Microsoft invested in the company. And so of course, the news media was left to fill in the gaps. And fill the gaps it did. According to reports, Thrive Capital put in most of the funds at $1.3 billion and negotiated an option to invest another $1 billion next year if OpenAI meets a certain revenue target. Thrive Capital is led by Josh Kushner, who is the brother of Donald Trump's son-in-law Jared Kushner. most of the funds most of the funds invest invest Khosla Ventures, Fidelity, and Nvidia were also identified as investors in the funding round. And yes, so was Microsoft, which reportedly invested $750 million in OpenAI. Nvidia Nvidia GET PUBLISHED ON HACKERNOON. Join a global network of  45,000+ published devs, builders,  founders, makers, VCs, hodlrs, and  hackers. Start submitting your tech  stories and tutorials to get  published FREE on HackerNoon — no pop-ups,  no paywalls. GET PUBLISHED ON HACKERNOON. GET PUBLISHED ON HACKERNOON . GET PUBLISHED ON HACKERNOON Join a global network of  45,000+ published devs, builders,  founders, makers, VCs, hodlrs, and  hackers. Start submitting your tech  stories and tutorials to get  published FREE on HackerNoon — no pop-ups,  no paywalls. Join a global network of  45,000+ published devs, builders,  founders, makers, VCs, hodlrs, and  hackers. Start submitting your tech  stories and tutorials to get  published FREE on HackerNoon — no pop-ups,  no paywalls. Now, three quarters of a billion sounds like an impressive figure until you realize that this is perhaps the least amount of money Microsoft has invested in OpenAI in a single go. Microsoft invested $1 billion in OpenAI in 2019 , and then another $10 billion in 2023 , with a couple of other capital injections here and there. 2019 2019 2023 2023 In total, Microsoft has invested around $14 billion in the creator of ChatGPT, and it's no wonder that Sam Altman has described OpenAI's relationship with the Windows maker as the "best bromance in tech." Well, the best "bromance" in tech is coming to a rude awakening as both sides spar over how much equity Microsoft will receive as OpenAI shifts gears to a for-profit entity. described described spar spar Regardless of how much Microsoft ends up owning, it's certain that it will be less than it used to be, and perhaps, this is by design. The company has never acknowledged how much of OpenAI it controlled, but media outlets pegged that number at 49%, just shy of an outright majority. So when Microsoft announced even more investments in OpenAI, European regulators were considering reviewing whether such financing would trigger scrutiny under the bloc's merger rules. reviewing reviewing That is now less likely to happen as Microsoft's stake is likely to have been diluted following OpenAI's October financing, bringing two key advantages: less regulatory scrutiny and a hedging of bets should things go south. and Microsoft really had no plans to withhold funds from OpenAI, but something changed after the whole leadership fiasco at the company in November 2023. Sam Altman's firing by the company's board raised a lot of eyebrows, and even as Microsoft Satya Nadella facilitated Altman's return to OpenAI, the seed of doubt had already been planted in the CEO's mind. firing firing Today, The New York Times reports, relationship between OpenAI and Microsoft are " strained ," with questions over the financial viability of OpenAI as it continues seeking both money and computing power to keep operating. strained strained So does that mean Microsoft is stepping back? Not quite. Both sides have a symbiotic relationship in which OpenAI depends on Microsoft for cloud computing and Microsoft depends on OpenAI for artificial intelligence. But this interdependence is now causing friction as OpenAI thinks Microsoft charges too much for its service and Microsoft thinks it's too dependent on OpenAI for its technology. "Microsoft could be left behind if it is only using OpenAI technologies,” Gil Luria, an analyst at the investment bank D.A. Davidson, was quoted as saying by the NYT. “It is a real race — and OpenAI may not win it." Meanwhile, analysts at investment bank UBS say Microsoft's relationship with OpenAI may be its most strategic yet as the artificial intelligence startup expects to grow its revenue to $100 billion by 2029. But that growth isn't going to come without its cost, and where will that money go? To Microsoft. Since a vast majority of OpenAI training and inference is run on Azure. So the more OpenAI earnings, the more it spends, and the more Microsoft makes, even if its stake is not as high as it used to be. And even with Sam Altman contracting Oracle for some of his company's computing needs, Microsoft still benefits since it just now needs to spend less on developing the data centers needed to power OpenAI. contracting contracting Oracle Oracle So if you ever thought that the artificial intelligence story was anything other than an attempt by big companies to empower themselves, here's your wakeup call. It just might be about the money 🤑🤑🤑 empower empower Microsoft ranked #4 on HackerNoon's Tech Company Rankings this week. Tech Company Rankings Tech Company Rankings In Other News.. 📰 In Other News.. 📰 No, Polymarket Whales Aren't Evidence of Prediction Market Manipulation — via CoinDesk Notion’s email product is nearing launch — via TechCrunch Elon Musk says he’ll fix the government under Trump. His track record paints a different picture — via CNN Nvidia CEO Jensen Huang gets rock star treatment from India's tech enthusiasts — via Reuters Meta's new facial recognition helps recover accounts, spot fake ads — via Axios Why Meta and Snap are spending billions on AR glasses— via CNBC No, Polymarket Whales Aren't Evidence of Prediction Market Manipulation — via CoinDesk CoinDesk CoinDesk Notion’s email product is nearing launch — via TechCrunch TechCrunch TechCrunch Elon Musk says he’ll fix the government under Trump. His track record paints a different picture — via CNN CNN CNN Nvidia CEO Jensen Huang gets rock star treatment from India's tech enthusiasts — via Reuters Reuters Reuters Meta's new facial recognition helps recover accounts, spot fake ads — via Axios Axios Axios Why Meta and Snap are spending billions on AR glasses— via CNBC CNBC CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan , Editor, Business Tech @ HackerNoon Sheharyar Khan Sheharyar Khan *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. Tech Company Rankings Tech Company Rankings Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here . here here

Microsoft Probably Doesn't Own That Much of OpenAI Anymore (And That's Ok)

The dust settled after the first season of the Hamster Kombat project was completed, and it's a good time to discuss the HMSTR airdrop results. Hamster remains the most massive Telegram mini app at the moment. However, unlike Notcoin, Dogs, Catizen, and other analogs, the community's attention to airdrop results is rather critical. In this article, I want to explain how the Hamster Kombat game business works—how much the community members earn and possible project earnings. In the Beginning… Hamster Kombat was launched in the spring of 2024 after the success of Notcoin. The distinctive feature of the game is an interesting story. The user can try himself in the role of an entrepreneur and CEO of a crypto exchange. To develop the exchange, you need to invest in various improvement cards, click on the hamster, and perform tasks. With Notcoin, Hamster became one of the first "clickers" launched in Telegram. Hamster coins were awarded for regular user activity in the app. By mid-summer of this year, the game had gained more than 239 million users, and Pavel Durov even wrote about it on his Telegram channel. After that, the number of users had grown to 300 million. The project community had been expecting the token drop for a long time - and finally, it was announced in September. However, the criteria for the drop caused a severe wave of criticism - people spent many hours in the game every day and they say this activity was rewarded with a few dollars only. What Do We Know About Hamster Founders? The game's owners are not directly disclosed. However, several media outlets have published articles linking three Russians—Eduard Gurinovich, Alexander Zelenshchikov, and Alexander Pasechnik—to the game. Previously, they were engaged in developing other software solutions, such as the social network Yappi. According to the media, Eduard Gurinovich is also the founder of the game developer Arenum. The domain hamsterkombat.com was registered in June this year from Arenum's work email. Why Is the Community Unhappy? By the poll results, which I conducted on my social networks, the Hamster Kombat team has changed the drop criteria - if Notcoin converted game balance into tokens to everyone equally, Hamster gave out approximately the same amount of tokens to players with different game balances and those who did not attract referrals received a comparable amount of coins for $5-20 regardless of the time spent in the game. At the same time, increased rewards were given to referrals. Community members claim that the Hamster team previously promised to reward players who regularly logged into the app and collected cards. In addition, the app excluded 2.3 million players from the drop for "cheating" and zeroed out their balances. Finally, only 131 million of the 300+ million members of the first season participated in the drop. At the moment, according to TON.APP data, the number of wallets with HMSTR is even less—only 111 million holders. The Hamster listing passed on September 26, with large crypto exchanges as partners: Binance, Bybit, Bitget, etc. However, its results did not please—at the pre-market, the HMSTR coin was valued at $0.01, but after the token was listed, the price fell more than two times to $0.045. How Many Basic Players Get? At the initial price, drop members who did not participate in the referral programs received less than Notcoin only $5-20. And even other referral program participants just over $100-200. This is data from a survey I did on social media. At the same time in Notcoin, the numbers were much higher - $100-200 for many ordinary drop participants and $800-2000 for those who actively encouraged referrals to the app. Why Didn't the Drop Meet Expectations? Critics accuse the app's administration of stimulating players' daily activity, including promising to reward them on the drop and then moving away from this principle. This is debatable, especially since although players spent their time playing the game, they didn't invest their money there and Hamster Kombat didn't specify a clear reward amount.Nevertheless, it is clear why the daily activity of mini-app participants was stimulated. The game earns exactly on advertising in the application and regular fulfillment of tasks by users. It is possible to distinguish several sources of income and even approximately calculate the advertising revenue: Partnership contracts with advertising in the application
Views on the game’s YouTube channels
Advertising in the Telegram channel of the game How Much Money Could YouTube Give? Profit from advertising on YouTube is the easiest to calculate. The main channel Hamster Kombat now has 1.215 million views. There is also a new channel for the game in English and 15 more channels in other languages - Vietnamese, Turkish, Spanish, and others. Combined, they have racked up about 1,600,000,000,000 views. YouTube pays about $0.01 to $0.03 per 1,000 views. Possible profits may exceed $16 to $50 million. However, Hamster likely earned even less - it is known that the revenue for YouTube in June amounted to about $5.2 million based on existing calculations. By the way, this is roughly comparable to the number of views of the main channel in June - 544,000,000. By the way, June was the month when Hamster's YouTube audience was most active. You can see the following graph with the number of views by week from the beginning of June to the end of September on the Hamster main YouTube channel. Hamster's other YouTube channels are much smaller, and their revenue share is insignificant. So, it is unlikely that YouTube's revenue for June, July, August, and September will exceed $20 million maximum. Earnings in Telegram and Other Sources of Income Hamster Hamster also has a large Telegram channel. From Telegram Ads, it can earn about 0.1 TON per 1000 views. In total, there were 307 posts in the channel, and the average number of views - 26 million people. I even inflated this figure to 50 million and still number of projected earnings is low - about 1.5 million TON or $7.5 million in advertising revenue. It is also known that Hamster had several advertising contracts and partnerships, one of the largest being with the gambling Winline for about $100,000. We can roughly calculate the income from 100 partnerships at $10 million. Conclusion: Hamster Kombat Didn't Turn a Big Profit So, Hamster could earn $10 million from partnerships, $7.5 from Telegram ads, and no more than $20 million from YouTube. Thus, according to a very rough estimate with several assumptions and rounding in favor of the game, its revenue for the summer of 2024 did not exceed $50 million. The Hamster Kombat channel estimated the number of drop participants to be 131 million people, and the TON App website lists the number of HMSTR holders as 111 million. According to various community and media reports, ordinary drop participants were given $5-10 each. And the total market cap, even at the current price, is even more—$247 million. In general, as I was told by sources among market makers, the amount of liquidity in USDT needed to maintain the token price at the moment is approximately $20-50 million. You also have to take into account the operational overhead for the game. Based on the data I've studied, Hamster's profit margins can be much smaller than disappointed drop participants think. This is also because, having gathered such a large audience, the Hamster Kombat team didn’t use other effective monetization methods, such as selling in-game items. By comparison, with a much smaller audience, Catizen made $31 million from in-game item sales alone. After studying these figures, I hypothesize that the game earned little during the first season, despite its great popularity, and this explains the low rewards according to the community. I took this story apart with you because I think Telegram mini apps, although so far most of them are games - this is an important trend in global crypto adoption. If you want more crypto insights, you can get regular updates on my Telegram channel. You can also find an overview of crypto regulation and options for nomads in different countries here. The dust settled after the first season of the Hamster Kombat project was completed, and it's a good time to discuss the HMSTR airdrop results. Hamster remains the most massive Telegram mini app at the moment. However, unlike Notcoin, Dogs, Catizen, and other analogs, the community's attention to airdrop results is rather critical. In this article, I want to explain how the Hamster Kombat game business works—how much the community members earn and possible project earnings. In the Beginning… Hamster Kombat was launched in the spring of 2024 after the success of Notcoin. The distinctive feature of the game is an interesting story. The user can try himself in the role of an entrepreneur and CEO of a crypto exchange. To develop the exchange, you need to invest in various improvement cards, click on the hamster, and perform tasks. With Notcoin, Hamster became one of the first "clickers" launched in Telegram. Hamster coins were awarded for regular user activity in the app. By mid-summer of this year, the game had gained more than 239 million users, and Pavel Durov even wrote about it on his Telegram channel . After that, the number of users had grown to 300 million. Telegram channel Telegram channel The project community had been expecting the token drop for a long time - and finally, it was announced in September. However, the criteria for the drop caused a severe wave of criticism - people spent many hours in the game every day and they say this activity was rewarded with a few dollars only. What Do We Know About Hamster Founders? The game's owners are not directly disclosed. However, several media outlets have published articles linking three Russians—Eduard Gurinovich, Alexander Zelenshchikov, and Alexander Pasechnik—to the game. Previously, they were engaged in developing other software solutions, such as the social network Yappi. According to the media, Eduard Gurinovich is also the founder of the game developer Arenum. The domain hamsterkombat.com was registered in June this year from Arenum's work email. Arenum. Arenum. Why Is the Community Unhappy? By the poll results, which I conducted on my social networks, the Hamster Kombat team has changed the drop criteria - if Notcoin converted game balance into tokens to everyone equally, Hamster gave out approximately the same amount of tokens to players with different game balances and those who did not attract referrals received a comparable amount of coins for $5-20 regardless of the time spent in the game. At the same time, increased rewards were given to referrals. Community members claim that the Hamster team previously promised to reward players who regularly logged into the app and collected cards. In addition, the app excluded 2.3 million players from the drop for "cheating" and zeroed out their balances. Finally, only 131 million of the 300+ million members of the first season participated in the drop. At the moment, according to TON.APP data, the number of wallets with HMSTR is even less—only 111 million holders. TON.APP TON.APP The Hamster listing passed on September 26, with large crypto exchanges as partners: Binance, Bybit, Bitget, etc. However, its results did not please—at the pre-market, the HMSTR coin was valued at $0.01, but after the token was listed, the price fell more than two times to $0.045. How Many Basic Players Get? At the initial price, drop members who did not participate in the referral programs received less than Notcoin only $5-20. And even other referral program participants just over $100-200. This is data from a survey I did on social media. At the same time in Notcoin, the numbers were much higher - $100-200 for many ordinary drop participants and $800-2000 for those who actively encouraged referrals to the app. Why Didn't the Drop Meet Expectations? Critics accuse the app's administration of stimulating players' daily activity, including promising to reward them on the drop and then moving away from this principle. This is debatable, especially since although players spent their time playing the game, they didn't invest their money there and Hamster Kombat didn't specify a clear reward amount. Nevertheless, it is clear why the daily activity of mini-app participants was stimulated. The game earns exactly on advertising in the application and regular fulfillment of tasks by users. It is possible to distinguish several sources of income and even approximately calculate the advertising revenue: Partnership contracts with advertising in the application Views on the game’s YouTube channels Advertising in the Telegram channel of the game Partnership contracts with advertising in the application Views on the game’s YouTube channels Advertising in the Telegram channel of the game How Much Money Could YouTube Give? Profit from advertising on YouTube is the easiest to calculate. The main channel Hamster Kombat now has 1.215 million views. There is also a new channel for the game in English and 15 more channels in other languages - Vietnamese, Turkish, Spanish, and others. Combined, they have racked up about 1,600,000,000,000 views. YouTube pays about $0.01 to $0.03 per 1,000 views. Hamster Kombat Hamster Kombat new channel new channel Possible profits may exceed $16 to $50 million. However, Hamster likely earned even less - it is known that the revenue for YouTube in June amounted to about $5.2 million based on existing calculations . By the way, this is roughly comparable to the number of views of the main channel in June - 544,000,000. calculations calculations By the way, June was the month when Hamster's YouTube audience was most active. You can see the following graph with the number of views by week from the beginning of June to the end of September on the Hamster main YouTube channel. Hamster's other YouTube channels are much smaller, and their revenue share is insignificant. So, it is unlikely that YouTube's revenue for June, July, August, and September will exceed $20 million maximum. Earnings in Telegram and Other Sources of Income Hamster Hamster also has a large Telegram channel . From Telegram Ads, it can earn about 0.1 TON per 1000 views. In total, there were 307 posts in the channel, and the average number of views - 26 million people. I even inflated this figure to 50 million and still number of projected earnings is low - about 1.5 million TON or $7.5 million in advertising revenue. Telegram channel Telegram channel It is also known that Hamster had several advertising contracts and partnerships, one of the largest being with the gambling Winline for about $100,000. We can roughly calculate the income from 100 partnerships at $10 million. Conclusion: Hamster Kombat Didn't Turn a Big Profit So, Hamster could earn $10 million from partnerships, $7.5 from Telegram ads, and no more than $20 million from YouTube. Thus, according to a very rough estimate with several assumptions and rounding in favor of the game, its revenue for the summer of 2024 did not exceed $50 million. The Hamster Kombat channel estimated the number of drop participants to be 131 million people, and the TON App website lists the number of HMSTR holders as 111 million. According to various community and media reports, ordinary drop participants were given $5-10 each. And the total market cap, even at the current price, is even more—$247 million. In general, as I was told by sources among market makers, the amount of liquidity in USDT needed to maintain the token price at the moment is approximately $20-50 million. You also have to take into account the operational overhead for the game. Based on the data I've studied, Hamster's profit margins can be much smaller than disappointed drop participants think. This is also because, having gathered such a large audience, the Hamster Kombat team didn’t use other effective monetization methods, such as selling in-game items. By comparison, with a much smaller audience, Catizen made $31 million from in-game item sales alone. After studying these figures, I hypothesize that the game earned little during the first season, despite its great popularity, and this explains the low rewards according to the community. I took this story apart with you because I think Telegram mini apps, although so far most of them are games - this is an important trend in global crypto adoption. If you want more crypto insights, you can get regular updates on my Telegram channel . You can also find an overview of crypto regulation and options for nomads in different countries here . Telegram channel Telegram channel here here

How Much Did Hamster Kombat Earn and Why Are Users Unhappy?

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