Blockchain and AI, the perfect sum for the decentralization of the Web3
Both are technologies that, although they may seem new and highly innovative, their most basic development principles have a long history in the history of computing. The foundation of blockchain and cryptocurrencies dates back 30 years to eCash, an idea from 1983 attributed to David Chaum . The foundations of AI are much older. They date back to 1943, when Warren McCulloch and Walter Pitts presented the model of artificial neurons. They paving the way for what we now call Artificial Intelligence.
Blockchain, AI and Web3
It is hard to believe that ideas developed so many years ago are now part of that innovative and revolutionary stack launchpad development company that is being developed all over the world. With creations such as those powered by OpenAI , the well-known GPT-3, Dall-E, Codex or more open-source ideas, such as Stable-Diffusion , it seems clear that AI is reaching an impressively fast level of development. This entails other more industrial and professional uses, such as GitHub Copilot or the AI solutions that Tesla and other car manufacturers are beginning to implement in their autonomous driving models.
The same happens in the Hollywood industry, which has even more powerful tools for the production of special effects. Possibly, the smartphone you are reading this article on also has AI capabilities that you use every time you unlock it with your face or take a selfie with your friends or family.
AI is reaching everywhere, because this technology has applications in almost every area that we can imagine. But what about blockchain? Those who believe that they may be falling behind due to the crypto winter, nothing is further from the truth. As the cypherpunks say: “developers write code”. And that is what many blockchain projects are doing: coding and trying to create the next disruptive iteration of this technology, where AI is starting to play a major role.
Customize web services
If there is a point where blockchain and AI go hand in hand, it is in Web3. The need to customize Web services and tailor them to the needs of their users typically passes through centralized data centers that analyze the information and “serve what the user wants.” It is a model that has been with us since Web2 and remains strong because it works very well. The only problem is that your data is in the hands of third parties who generally care very little about your privacy.
Facing this problem from Web3 is quite a challenge. Above all, if we want to maintain the decentralization of services. That’s where the AI comes into action. Not only to add the semantic part (the ability to adapt to what you are looking for and want) but to do it in a decentralized and private way. Of course, it does not only apply to Web3, since this duo of technologies can be used in products of different kinds, as is the case today.
For example, smart contract auditing giant CertiK uses the power of blockchain and AI within its SkyTrace product . This compliance-focused development allows exchanges to comply with the rigorous regulations that apply to KYC/AML within their operations, thus avoiding the risks associated with certain activities within their wallets and services.
Markets and trends
Another development is Numerai . It is a Data Science type project that uses the power of AI to analyze the development and evolution of blockchain markets. Its power, although dedicated to the study of markets, can also be directed to the analysis of trends and behaviors within the blockchain. The goal would be to predict user needs or behaviors within decentralized applications (DApps),and launchpad development service to personalize experiences.
A fusion with many possibilities
The two examples above are just a few business use cases for this technology, but there are many others. Projects like Fetch.AI are an example that there are still many possibilities to explore of everything that can be done with blockchain and AI. But the fusion of both technologies would also allow such interesting things as:
The use of AI models capable of reviewing user history in a personalized and private way, obtaining information and providing a unique Web3 experience. In this way, users would go from being mere consumers to being part of the consumption experience and content creation. This is vital for Web3, where users become not only creators, but owners of their data and experiences at all times.
Another great use of AI in Web3 is to allow new media that generate long-term sustainability of projects. At this point, launchpad development AI can enable you to create and unlock new value from the content you create and the creativity and intellect you use to create it. In this way, new forms of sustainability and generation of value and utility are generated, both for the project and for the user himself.
Finally, AI would make it possible to move from a unidirectional mass consumption model, where creators generate content and the audience consumes, to one of greater interaction. A model where creators and their communities have their own platform and can interact, share and create content together.
New AI models
Of course, the possibilities not only concern the construction of Web3, but also serve to develop new AI models that take advantage of the potential of decentralized computing networks, such as blockchain networks. In this case, the development potential of AI would be enormous and democratizing. It would allow anyone with access to such networks to develop AI-powered applications, leading to a substantial improvement in global technological development.