AI, Robots, Data, Systems, Humans

Author(s): Andrei Besleaga (Nicolae)

Originally published on Towards AI.

What is happening

AI: evolves and is made available to general public (this means both the knowledge and science behind it — and all research resources available in public and private organizations, the resources available on learning — both paid and free courses for the public, and user friendly tools as well.

Automations and robotics: science-fiction of the past — automatization and robots, were part of the last wave and now are even more getting adopted everywhere, along with AI agents, eliminating the need of humans, mostly for maximizing profits or solving problems that could not be solved easily.

Data: (all kinds of it — but meaning within this context: data that can be in a form that an AI model or system can take advantage of it), becomes more and more available in big quantities (and also different qualities — therefore not always trusted and reliable and all that comes with this problem, when that data is used), from all kinds of personal, private and public systems or other online/offline collections.

Systems: systems designs and architectures, systems thinking, and systems implementations, are also changing, as always have been, in both old-fashioned ways or disruptive creative ways (either self-evolving or to accommodate nowadays local and planetary challenges), and these system include not only IT computer systems but also all kinds of other systems you may think of that are on this planet, at any level (from our own human bodies and minds, to societies, countries, or the planet itself).

How it is happening

In the technical worlds, from general public available knowledge and tools in any kind of domain, from narrow AI to more General AI, to other specialized AI, over all kinds of industries and domains. From the actual IT&C technology to anything else that exists now in the world, evolved AI models used this data for training and to do specialized work.

Current informational systems architectures change more towards using event-driven systems, big data, AI, having auto-scalability, self-healing, evolutionary attributes.

Also AGI (Artificial General Intelligence) evolves at a faster rate now:

Algorithmic Innovations: algorithms surpassing human-devised methods. This showcases AI’s growing ability to innovate beyond human expertise. WIRED

Self-Learning Models: Companies are developing AI systems, robots and agents, that learn and adapt autonomously, moving beyond narrow task-specific applications toward more generalized intelligence. Cubeo

Multimodal Capabilities: AI models are increasingly integrating various data types — text, images, audio, and video — enabling more holistic understanding and interaction with the world.

New paradigms

Sooner than later we will witness changing paradigms in IT, such as maybe in HCI (Human Computer Interface) and M2M (machine to machine), changed from our known currently world-wide used protocols to different others which might be optimized to be more efficient between AI systems (and not understood by humans easily), or for humans (for accessibility).

Just a very simple proof of implementation of how currently known APIs communication could be changed, by using natural language only: https://github.com/andreibesleaga/NaturalLanguageAPIBackends.

Software architectures and systems architectures will also change (and will involve having parts of them integrated with AI, from real-world IoT — to cloud, to end-user), and self-evolutionary and self-healing architectures, which will be part of all future developments, will be more common, meaning whole domain paradigms will change and newer type of systems and working of these systems will be available, hopefully better ones.

This transition is already happening with all kinds of tools already available to be used for implementations. However it is just the beginning, and the current world’s systems are still here to stay until adoption of developments and changes, or until some disruptive events (human or nature caused).

We are preparing slowly for a different future (or we actually don’t)

All of the technical advancements in the latest tens of years have already changed the world completely, for everyone, even if they are or not aware, and the next wave is about to come in the next tens of years or sooner, changing everyone life’s again, even if they know it or not.

Many of these changes have improved and are improving the lives of humans, when they are used all over the domains, industries and systems where there are not only monetary benefits, but also human and planetary benefits.

All of the paradigms changing, will affect not only technical systems, but all the other systems and humans as well, with or without their knowledge. Some are already prepared and will be ahead of everything (or having a buffer about it), as always, and the rest won’t even realize.

Some changes were disruptive in the past, and some entities and systems in those times couldn’t make it in that form, when there was an evolutionary leap, and soon will be again, even if we don’t know exactly when.

The difference might be that the resources that were available at those times on the planet and the number of consumers of those resources, were different. Another difference is how the world changed meanwhile, and also the current planetary difficulties (such as climate change, populations age, health, migrations, and living/working/support systems, and actual education and how that is used, and how humanity manifests in humans nowadays, truthful and falsehood of information disseminated, inability of individuals or societies to sustain and adapt, repeating disasters from the past for which the current iteration of genetic evolution of us are not used to anymore, instability in existing systems and forces from within or external causing inability to cope, among others).

Conclusion

It’s possible that all of this it’s slower taking place, therefore allowing some to adapt, but some changes are fast and disruptive, and sometimes it seems that even the educated people are not always prepared, even if they know how different types of challenges and evolutions would affect them or the others, in the near-future or long-term.

Lessons and systems of the past might help adapting to change, and all the decision factors, systems thinkers, designers, and implementors, should take in consideration the correct data and re-think bloatware/sustainability opposites (and maybe use what proved to be more efficient and sustainable combined with new advances), and we, as individuals, as always, could stay up to date, improve, be prepared more or less, according to common sense and the correct filtered information to take decisions from, and by any own auto-adaptation energy, or from support or other systems.

As long as everything will be considered from a human, humanity, and planet centric systems thinking and design paradigms, then, hopefully, all the advancements of technology and the human species so far will make this revolutionary wave the best one, for this and next generations, existing systems, and the planet itself, by using them to solve problems that can be solved and improve ways of living.

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Published via Towards AI