A portal site to watch the Cambrian Explosion of AI
AI technology experienced several booms between the 1950s and 1980s, followed by a period of stagnation known as the ‘winter period’, but with the commercialisation of deep learning in the 2010s, there is now an explosion of products and services being created. This situation resembles the Cambrian explosion in animal evolution.
The Cambrian explosion was a phenomenon in which all animal phyla (body plans) seen today suddenly appeared between 542 and 530 million years ago. Not all animals survived intact afterwards, but evolved through a number of mass extinctions. Taking historical analogies into account, we can expect to experience several peaks and troughs in the future.
We can learn some lessons from this analogy.
- Paying attention to which types of AI thrive and which become extinct will affect our own survival.
- Ecosystems must maintain their diversity; the current monopolies seen in the IT industry are endangering entire civilisations.
- Users should therefore evaluate not only the products and services that dominate the market, but also niche products and services that match their needs.
This website aims to provide an overall understanding of AI from this perspective. There are currently a huge number of AI-related products and services, making it difficult for users to evaluate each and every one. The first challenge is to navigate this.
Secondly, it is important to understand the underlying technological trends, rather than being swayed by superficial product and service information. However, this does not mean detailed information at the level of researchers and engineers, but a broader perspective on technology. The term ‘philosophy of technology’ is not commonly used, but this is precisely the kind of approach to technology that is required.
Moreover, if we broaden our perspective further, AI does not exist only in the specialised field of AI, but relates to various fields of technology, as well as to various elements of society, such as law and administration. In other words, AI can also be interpreted as an AI model with a bird’s-eye view of AI. This is the third perspective. Knowledge Graphs (KG), Self-organising Maps (SOM) and Bayesian Belief Networks (BBN) are the tools to achive this.
Technological innovations that will bring about future social change include:
- Artificial Intelligence and Machine Learning
- Automated vehicles, in-vehicle information devices, EVs
- Brain-computer interface
- Virtual Reality (VR) and Augmented Reality (AR)
- Blockchain distributed networks
- Quantum computing
- 5G, next-generation communication technologies, cyber security
- IoT, smart cities
- Nanotechnology
- Space development, space internet
- Digital health, telemedicine, personalized medicine
- Renewable energy, new energy development
As these technologies are driven by complex interactions, it is very meaningful to analyse the technological information space. The mission of this website is to thoroughly analyse these information connections and to identify key concepts that can guide our way of life.