Gartner loses with a Hype Cycle for Blockchain and Web3

#1 Stabil Diffusion is only 30 days old?!?

In last week’s update, the core message was that artificial intelligence is rapidly accelerating in the world of creation. Both in text and image. This is also evident from the attention it has received in the (professional) media in recent weeks. And of course, there are countless perspectives from which to view this gear. That’s why this week’s spotlight is on some of the most important insights that hit the news last week. But first some pictures and applications. Daniel Eckler made a nice (mega) thread on Twitter where he put together some impressive examples made with Stable Diffusion over the last 30 days. Stable Diffusion is a machine learning text to image model. The examples are truly impressive. But also the applications. Here it is Twitter thread from Daniel, and if you want to watch via the thread reader app, you can do so here. Note that the reader must load all videos.

#2 replica

Many of you probably know the movie “Her”. Author Theodore Twombly falls in love with his new computer control system. That ‘operating system’ thinks like a human and has the sultry voice of Scarlett Johansson. And in the end, you know for sure that it might never happen. And yet there are more and more examples of “virtual AI friends” that manage to attract millions of users. The most popular is Replica. Replika describes the technology as an ’empathetic friend’ and positions it as an AI friend for lonely men and women. The app is certainly not without controversy, but it shows that loneliness is an important reason to use Replika. The applications in the app are significant. You can (of course) customize your avatar, decide what “relationship” you want to maintain with your virtual friend, chat, make phone calls, follow coaching programs, augmented reality, play games and view the virtual friend’s diary. A first test does not yet provide an impressive experience. It’s all still flat and predictable. But it also indicates the enormous size and potential. And in light of Replika’s success, is there a need?

#3 The AI ​​separation

It’s been a while since we’ve had Ben Thompson speak in this update. A week ago he shared an interesting insight in his daily update. The insight that Artificial Intelligence ensures that the last piece of the value chain to spread ideas is now also “unbundled”. The five parts of the idea dissemination value chain: idea generation, idea realization/execution, duplication, distribution and consumption The separation of consumption, distribution and duplication of ideas is clear to everyone. But now, in the eyes of Ben Thompson, we are dealing with the separation of the final phase. He writes: “To take myself as an example, I have enough ideas and, thanks to the Internet, the opportunity to spread them all over the world; however, I must still write them down, just as an artist must create a picture or a musician must write a song. What is becoming increasingly clear, however, is that this bottleneck is being lifted.

#4 The (possible) danger of generating AI images

And of course there is also a dangerous side to any new development. Not only can it affect our work in the future, it is expected that by 2026 more than 90% of online content will be generated by an AI system. But just as important is the impact on trust. Is what we see and pictures are still worth a thousand words, real or not real? Image generation arguably has as far-reaching implications as the invention of the camera or perhaps the creation of art itself. Even our sense of history can be at stake depending on how things turn out. Read all about it in this post from Ars Technica.

#5 The new Web3 Creator Playbook

There’s Li Jin again. At a time when, due to all the breakthroughs in AI, the attention for Web3 thinking has fallen a little into the background. In this blog post, Li describes the difference between Web2 and Web3 from the creator’s point of view. Instead of starting to create free content in an attempt to build a large fan base that can later be monetized, Web3 creators start to monetize by creating a token (NFT or fungible). This attracts an initial group of fan owners who believe in the idea and are interested in the potential benefit that can come from owning an asset. The key to this model is digital scarcity: as the creator becomes more famous or successful, the token becomes more desirable and valuable.

#6 The sound of Mexico City’s streets

Just something fun. Buddingen’s projects always have something special. That alone is reason enough to check it out once in a while. This time there is a project about the sounds of the streets of Mexico City. “Cities are places where commerce, entertainment and human drama unfold in the public sphere – on streets and sidewalks, in parks and squares. The sounds of life unfolding in public create an urban soundscape unique to each city. So put on your headphones and scroll through these sounds.

#7 Gartner Hype Cycle for Blockchain and Web3

Always handy for trends and development charts. Gartner’s hype cycles. Two were published this week. The first with the prospects around Metaverse and Blockchain. Some innovations (blockchain wallets and smart contracts) are expected to mature in less than five years. However, other applications, such as decentralized identity and non-fungible tokens (NFTs), face technical, regulatory and interoperability issues. Gartner expects most blockchain innovations to mature within two to ten years. And Metaverse only in 10 years! The second hype cycle is about artificial intelligence. But it can be good material for the insiders.

#8 How do you avoid an overreaction to a complaint?

What do you do when you have to respond to annoying complaints and problems from customers or stakeholders? In this “Pinkcast” by Daniel Pink, he gives you a good thought. And it only consists of 3 words.

#9 Spotify audiobooks

The last missing piece of audio has now also been added. Audiobooks can now also be listened to via Spotify. So far only in the US.

#10 Google Useful content update.

As of late August, Google has implemented an update called the Useful Content Update. Google Search is always working to improve the quality of search results. That’s why this update aims to ensure that people see more original, more useful content written by people for people. Sounds logical right? Focus on content that puts people first. wow! Here are some tips to use this helpful content update as a guide to turning your social media channels into an authority on your domain.

Leave a Comment