Tag Archives: collaboration

A single artwork created by 6 million artists!

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The internet allowed us to cooperate in many various tasks – from writing documents and coding to… creating masterpieces! Recently, on April Fools’ day, Reddit opened the so-called “r/place” which simply was a huge empty white canvas of size 2000 x 2000 pixels that could be edited by every user. For four days, every Redditor could change the color (32 colors were available) of a single-pixel every 5 minutes – this rule forced people to collaborate to have an impact on the canvas.

During the first two days, around 72 million pixels were placed by more than 6 million users! On average, 2.5 million pixels were changed every hour! Just have a look at this video showing the progress in creating the r/place canvas of 2022:

Since a single pixel meant nothing, just after the event started, large communities of people started working together on planning their contribution to the canvas. Many Redditors connected via other subreddits to coordinate in creating pixel arts. However, other platforms like Discord and Twitch played significant roles – streamers had specifically big impact since their communities are usually active while watching streams. Some of these collaborations resulted in really outstanding pixel arts — check out these examples (there are so many of them that I couldn’t choose which ones are my fav):

A social experiment

It is important to mention, that this was the second edition of r/place after the first one in 2017. Reddit is one of the biggest information exchange platforms with 174 million registered users (2020). Events like “r/place” are social experiments that show us how people can collaborate in creating something creative. This one proved again how online communities of people who usually don’t know each other can collaborate even without talking to each other. It also reveals that handling such an experiment can be difficult from the technical standpoint — Reddit needed to take care of many issues including frontend, backend, handling millions of requests every hour, bots, and many more. After the event finished, the data of every single pixel were shared by Reddit and now, everyone can dig through the history o every piece of the artwork!

Do you think that this kind of experiments are useful in exploring the nature of online communities? May collaboration in creating pixel arts translate into the real world problems?






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Collaborative community joins the race for the best AI

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Chatbots, online translators, text generators, and grammar checkers – these are a few of many modern applications of artificial intelligence language models. The most popular and advanced models like GPT-3 or BERT are claimed to “understand” human language. Unfortunately, these solutions are not open to the public. Why? Because mainly big corporations like Google, Microsoft or Huawei can afford to access enormous computing resources and have researchers to develop them.

💡According to the official paper of GPT-3, it would take 355 years to train this AI model on a computer equipped with one of the most advanced graphics cards.

Open-source solution

To tackle the problem of the centralization of hyper-advanced AI models, hundreds of researchers from all around the world have gathered to bring an open-source solution to the public. Independent research and industrial volunteers formed a collaborative project called BigScience and created an enormous language AI which will complete its training in 4 months – anyone can track the progress in model training here: click!. The model is predicted to be excellent in performing various language-related tasks in 46 languages 🤯.

Implications of open-source

Currently, most advanced AI owned by hi-tech companies can be accessed by individuals, but one who wants to use them either needs to match specific conditions or pay for the access. One of the reasons is that the organizations that own AI solutions like GPT-3 still don’t know all of the potential misuses that could harm people and thus, want to control the purposes their solutions are used for. However, the new AI model created by BigScience collaborative community is most probably going to be open to anyone. It means that its use-cases will not be controlled.

Governments should join the collaboration

Hyper-advanced AI models can solve many problems and bring enormous value to society. In my opinion, collaborative projects like BigScience show that sooner or later, hyper-advanced AI solutions will be available to anyone. That’s the reason why I believe that governments should look into the problem of harmful applications of AI and establish a law to prevent such cases. Hopefully, that would encourage at least some hi-tech corporations to share their resources to help in democratizing advanced AI safely!







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Collaborative consumption

Reading Time: 2 minutessharing-new-shopping

With the rise of social media, many predicted it to be the end of real life interaction; that everyone is doomed to a life of isolation and loneliness. But we as social beings, as our primitive instincts dictate, came up with this brilliant-brilliant idea of sharing resources as always. Just like we share our thoughts, ideas, pictures, personal information online, people resorted to share things they own but don’t use 24/7. A famous collaborative consumption example is the power drill. You don’t need a power drill 24/7/365, you just need the hole, wouldn’t it be nice to share it or rent it while it’s not in use!

Most of us would have used at least one or two sharing economy websites. Very popular examples are Airbnb, Couchsurfing and Uber.

So, the textbook definition of sharing economy or collaborative consumption is, it is an economic model based on sharing, swapping, trading, or renting products and services, enabling access over ownership. It is reinventing not just what we consume but how we consume.

Here is a video of Rachel Botsman, an expert in collaborative consumption explaining how it kicks bottom. In this talk, she mainly explains what is collaborative consumption and the types of collaborative consumption – redistribution markets, collaborative lifesyles, product service systems. She further discusses how collaborative consumption goes deeper than consumption itself, it reshapes the current model of consumption, reinforces the positive values of our society such as trust, individual identity and community bonding and makes way for sustainable living.

This helps us save money, socialize and be a good citizen. Now, if you want to join the sharing economy, here is the link to an article which lists out different areas of your life : books and media, transportation, travel, fashion, farming, living space, office space, parking lots and social lending and the websites under each category that facilitates the collaboration


Top 15+ disruptive business models based on collaborative consumption


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