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In electromagnetism the Coulomb force F=q1q2/r^2, the Lorentz force F=q(E+νxB), are computed treating spacetime as flat, and we are measuring what is actually a macroscopic phenomenon, not at the microscopic level. But this does not mean that the principle fails completely at the microscopic level.

Consider particles with mass such as electrons, which should have both electromagnetic and gravitational forces (we cannot rule out the validity of GR at tiny masses). Looking at an electron from the outside, it expresses electric field, magnetic moment, and mass. The Stern-Gerlach experiment fully expressed these covariates [1]. The electron involves only 4 factors, time t, space x, electric field E, and magnetic field H. We express the electron in the set e={Δt, Δx, ΔE, ΔH}, where the elements are all variables. This then implies that the external electromagnetic force, gravitational force, and mass, should all be able to be described by these components, since we can only act on the electron through these components.

Mass then could be exclusively electromagnetic mass [2][3], me={Δt, Δx, ΔE, ΔH}, regardless of the mechanism by which it is produced [4]. The electric field force can likewise be expressed only in terms of Fe=α{Δt, Δx, ΔE, ΔH}, and the gravitational force in terms of the set Fg=G{Δt, Δx}. Obviously, this is their simplest expression.

We need not consider what the electron is. It can be inferred from the set that its electric and gravitational forces overlap, since they share the same part of spacetime expression. This can also be seen by comparing Coulomb's law with Newton's law of gravity. As for neutral massive particles, they can be regarded as cancelling out the electromagnetic field [5] leaving only the Fg = G{Δt, Δx} part. In this way, the gravitational force is naturally unified to the electromagnetic force, and they are coupled together by the spacetime {Δt, Δx}, and automatically incorporated into the gauge field theory; the 'graviton' can be regarded as the spacetime product of the 'photon'. As for gravitational waves, they can be regarded as a part of space-time detached from accelerated motion, like electromagnetic waves radiated by accelerated electrons. This is exactly what Poincaré envisaged [6].

"After Einstein developed his theory of general relativity, in which a dynamical role was given to geometry, Herman Weyl conjectured that perhaps the scale of length would also be dynamical. He imagined a theory in which the scale of length, indeed the scale of all dimensional quantities, would vary from point to point in space and in time. His motivation was to unify gravity and electromagnetism, to find a geometrical origin for electrodynamics. [7, 8]" Wouldn't Weyl have been right if, instead of searching for a geometrical origin of electromagnetism, he had searched for an electromagnetic origin of gravity? Wouldn't electromagnetism be equally geometrical if one considered that the electromagnetic force Fe = α{Δt, Δx, E, H} is essentially the same as that resulting from variations of {Δt, Δx} therein?

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AI-based research software has been in use recently, spanning a wide range of applications across various fields, including Drug Discovery and Development, Precision Medicine, Healthcare Diagnostics and Imaging, Environmental Monitoring and Conservation, Autonomous Vehicles and Robotics, Language Processing and Translation, Financial Analysis and Trading, Cybersecurity, Manufacturing and Supply Chain Optimization, Agricultural Optimization etc. The innovation has also been applied in the fields of Education and Learning, Content Creation and Entertainment.

A SWOT analysis details the strengths and weaknesses of the past and present performance of an entity, institution, process, problem, issue, etc., as well as the opportunities and threats relating to the future performance of a particular issue in the next months, quarters or, most often, the next few or more years. Artificial intelligence technology has been conceptually known for more than half a century. However, its dynamic and technological development has occurred especially in recent years. Currently, many researchers and scientists are involved in many publications and debates undertaken at scientific symposiums and conferences and other events on various social, ethical, business, economic and other aspects concerning the development of artificial intelligence technology and eggs applications in various sectors of the economy, in various fields of potential applications implemented in companies, enterprises, financial and public institutions. Many of the determinants of impact and risks associated with the development of generative artificial intelligence technology currently under consideration may be heterogeneous, ambiguous, multifaceted, depending on the context of potential applications of the technology and the operation of other impact factors. For example, the issue of the impact of technology development on future labor markets is not a homogeneous and unambiguous problem. On the one hand, the more critical considerations of this impact mainly point to the potentially large scale of loss of employment for many people employed in various jobs in a situation where it turns out to be cheaper and more convenient for businesses to hire highly sophisticated robots equipped with generative artificial intelligence instead of humans for various reasons. However, on the other hand, some experts analyzing the ongoing impact of AI technology applications on labor markets give more optimistic visions of the future, pointing out that in the future of the next few years, artificial intelligence will not largely deprive people of work only this work will change, it will support employed workers in the effective implementation of work, it will significantly increase the productivity of work carried out by people using specific solutions of generative artificial intelligence technology at work and, in addition, labor markets will also change in other ways, ie. through the emergence of new types of professions and occupations realized by people, professions and occupations arising from the development of AI technology applications. In this way, the development of AI applications may generate both opportunities and threats in the future, and in the same application field, the same development area of a company or enterprise, the same economic sector, etc. Arguably, these kinds of dual scenarios of the potential development of AI technology and its applications in the future, different scenarios made up of positive and negative aspects, can be considered for many other factors of influence on the said development or for different fields of application of this technology. For example, the application of artificial intelligence in the field of new online media, including social media sites, is already generating both positive and negative aspects. Positive aspects include the use of AI technology in online marketing carried out on social media, among others. On the other hand, the negative aspects of the applications available on the Internet using AI solutions include the generation of fake news and disinformation by untrustworthy, unethical Internet users. In addition to this, the use of AI technology to control an autonomous vehicle or to develop a recipe for a new drug for particularly life-threatening human diseases. On the one hand, this technology can be of great help to humans, but what happens when certain mistakes are made that result in a life-threatening car accident or the emergence after a certain period of time of particularly dangerous side effects of the new drug. Will the payment of compensation by the insurance company solve the problem? To whom will responsibility be shifted for such possible errors and their particularly negative effects, which we cannot completely exclude at present? So what other examples can you give of ambiguous in the consequences of artificial intelligence applications? what are the opportunities and risks of past applications of generative artificial intelligence technology vs. what are the opportunities and risks of its future potential applications? These considerations can be extended if, in this kind of SWOT analysis, we take into account not only generative artificial intelligence, its past and prospective development, including its growing number of applications, but when we also take into account the so-called general, general artificial intelligence that may arise in the future. General, general artificial intelligence, if built by technology companies, will be capable of self-improvement and with its capabilities for intelligent, multi-criteria, autonomous processing of large sets of data and information will in many respects surpass the intellectual capacity of humans.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

The four Nobel Awarded cases are suggested for this discussion. Please add your voice and opinion on the following considerations or possible new ones:

Einstein’s theories of relativity and its derivatives are being “proved” for more than hundred years, involving enormous cost of intellectual, technological, natural and financial resources of humanity, artificially involving hundreds of scientists around the world as a career-building enterprise, seeking consensus. All profound scientific theories of the past history, including classical mechanics, thermodynamics, Maxwell’s electromagnetism, Darwin’s theory of evolution, even atomic theory, never needed any “proof”; as those arose from practical activities or accidental discoveries and are being proved millions of times a day through the social/historical practice and technologies of men.

The question is, why so many and never-ending “proofs” (more are in the offing) are necessary for one axiomatic and mainly mathematically derived theory? It seems that these “proofs” are subjectively motivated and most probably contrived; and arises from lingering doubt about the scientific merit of this theory; which is used as the marvel of official science and as the ruling idea of modern society, bolstering theology. The “Big Bang” theory itself, the most important derivative of Einstein’s General Relativity (GR) was adopted in a conference at the Vatican, which excluded the most prominent astrophysicists and the astronomers of the time, as the following quote from Geoffrey Burbidge would testify: “By 1982, when a conference on cosmology was held at the Vatican, a new approach was taken. The radicals around, such as F. Hoyle, V. Ambartsuminan and this speaker (to mention a few) were not even invited. The conference was confined completely to Big Bang cosmology and its proponents. In fact in the introduction to the published volume of the proceedings of the meeting (Pontifical Academy of Sciences, 1982) it was emphasized that only believers (in the Big Bang) were present; and that there was clearly a deliberate decision of the organizers”: G Burbidge, In “The Universe at Large: Key Issues in Astronomy and Cosmology.

1. Black Hole: 2020 Nobel Prize in Physics Awarded to 3 Scientists for Work on Black Holes. The prize was awarded half to Roger Penrose for showing how black holes could form and half to Reinhard Genzel and Andrea Ghez for discovering a supermassive object at the Milky Way's center.

Albert Einstein in published article dismissed the possibility of “Black Hole” formation even in theory: "The essential result of this investigation is a clear understanding as to why the "Schwarzschild singularities" do not exist in physical reality. Although the theory given here treats only clusters whose particles move along circular paths it does not seem to be subject to reasonable doubt that more general cases will have analogous results. The "Schwarzschild singularity" does not appear for the reason that matter cannot be concentrated arbitrarily. And this is due to the fact that otherwise the constituting particles would reach the velocity of light.

This investigation arose out of discussions the author conducted with Professor H. P. Robertson and with Drs. V. Bargmann and P. Bergmann on the mathematical and physical significance of the Schwarzschild singularity. The problem quite naturally leads to the question, answered by this paper in the negative, as to whether physical models are capable of exhibiting such a singularity." Albert Einstein. A. Einstein, The Annals of Mathematics, Second Series, Vol. 40, No. 4 (Oct., 1939), pp. 922-936