Blockchain is also a technology that can contribute a lot to the development of Artificial Intelligence and to tools such as ChatGPT or DeepL, and this is something that many developers are aware of and seek to exploit in order to promote its development.
But how is this possible? What real advantages can the use of blockchain have when developing Artificial Intelligence?
Decentralized, secure and self-sustaining training
The most basic origin of all Artificial Intelligence is a very simple one: datasets. what iss a dataset? A dataset is simply a huge data set that is grouped in such a way that each of them responds to a well-structured classification and organization that is then used to train an AI. Creating datasets is tedious work. Normally the datasets are generated using the data that we leave in Web services of different kinds.
For example, GitHub Copilot's Artificial Intelligence has been trained using all the data found on GitHub as a dataset, including the source code that is hosted by the service. This allows Copilot to feed on a huge amount of code that it ultimately uses for one thing: helping developers code faster using an AI that analyzes the code and proposes possible edits to finish it quickly.
The same situation is repeated with the rest of the AI: a huge amount of data that is used to feed a protocol and at the end the AI is trained with a very clear objective. However, in all these cases, the training is limited to a set of preprocessed data with many limitations, not to mention that the process is completely centralized.
It is here where the blockchain You can make the first contribution: make the datasets more varied and natural, as well as decentralize the process. For example, a dedicated blockchain can be generated for AI training and dataset generation.
Thus, users can participate and generate datasets that can later be selected and purchased to be used in training an AI. This leads to the point that users must generate excellent quality datasets. This in order to be able to sell them for a certain amount of tokens (which would be tokens from the blockchain platform dedicated to this service).
At the same time, these creators can gain trust and recognition from the community. This is because the work of that user will be recognized for its good quality. This allows Artificial Intelligence developers to have a much broader and more diverse library of datasets. Thus, they can train an AI in a much more complete way and thus generate more natural experiences.
Such a system can guarantee two things:
- Generate a dataset market in which their quality and diversity is strongly rewarded.
- It allows to ensure the development of good datasets, with a much cheaper price, greater speed in its generation and with a higher level of security.
Democratizing access to Artificial Intelligence
The second point in which the blockchain can contribute to the development of Artificial Intelligence has to do with access to it. Generating a quality AI is not cheap. This is where blockchain's tokenomic generation features can help alleviate development costs.
But the other point in access has to do with the freedom to use an AI. For example, OpenAI has spawned Dall-E and ChatGPT, two powerful AIs that have shown the enormous potential of technology to the world. However, for some people in the world, using such AIs is impossible because OpenAI has banned the countries they live in.
At other times, developers may limit the capabilities of the AI so as not to exploit its full potential. This is where the generation of distributed computing and data storage using blockchain can change all this, helping to make AI a technology within everyone's reach.
A good example of this can be seen in a project like Golem Network. This project started as a distributed computing project inspired by well-known projects like SETI@HOME, and initially only offered access to CPU or GPU for raw data processing. But that's exactly what an AI needs, and that's where Golem and many of its users have made strides.
In fact, in his github, we can get a list of projects focused on Machine Learning and Deep Learning that are a small example of what this network is capable of doing in this regard.
Decentralized Artificial Intelligence
The two previous points then allow us to reach a clear end: the development of a decentralized Artificial Intelligence. One capable of working through a huge network of computers that use their computational and graphic power to run complex Deep Learning and Machine Learning models, generate datasets and markets for third parties interested in them, as well as access to AI from anywhere in the world without intermediaries and censorship involved.
For example, we could generate Artificial Intelligence that helps traders optimize their trades on "autopilot" within a platform. We could also generate Web3 streaming platforms that use decentralized AI to study the music we like and offer us alternative music we might like, having, by the way, full control over our personal data and how the AI accesses it (very different from what happens on platforms like Spotify or YouTube Music).
As you can see, the potential of a decentralized AI is enormous, not only because it would be available to everyone, but also because it could be improved in an open and free way, making its possibilities scale rapidly.
Artificial Intelligence and blockchain projects that exist today
The previous example of the Golem Network is just a sample of what can be done with blockchain in the world of AI, but there are other projects that are also focused on this sector, such as Ocean Protocol o Fetch.ai.
Other more recent projects that target the sector are Lit Protocol y Nevermined. This leaves a clear message: as AI begins to develop more and more in the digital world, developers focused on blockchain begin to transfer this technology to the sector looking to explore its possibilities and make them available to the community.
Author
