The race for artificial intelligence is on. Large companies, including Microsoft, Google, Amazon, Oracle and Meta, are spending billions of dollars in that race. The race involves the building of the world’s most advanced mainframe super-computers, with hundreds of thousands of GPU processors, linked to massively large databanks. Watch No-Go Zone: Total AI Datacenter Doom on Rumble.com.
These incredibly power hungry machines are AI datacenters. The acronym AI stands for “Artificial Intelligence” yet no true artificial intelligence has eventuated. Therefore the race involves building even bigger and bigger machines with a many as a million GPU processors, or more. The mad scramble is because the first to achieve true artificial intelligence — artificial sentient life — wins the race and the winner takes all.
The winner would own the first artificial intelligence that they believe would solve all mankind’s problems, including the alleged global warming from the use of hydrocarbons, oil and gas.
Therefore the question must be asked, can humans create sentient intelligence in a machine by building out such massively large banks of superfast GPU processors, which are likened to artificial neurons? As a phase transition, will true intelligence simply emerge in the machine when some critical number of processors has been reached?
Emergence in physics refers to the phenomenon where complex systems exhibit properties and behaviors that are not apparent from the individual components alone.
In philosophy, systems theory, science, and art, emergence occurs when a complex entity has properties or behaviors that its parts do not have on their own, and emerge only when they interact in a wider whole. Wikipedia
In recent years, there has been a wealth of research aimed at unpacking the intricacies of emergence. For example, in physics, studies on phase transitions — like that observed in water turning to steam — serve as a classic illustration of how emergent phenomena manifests. This is not about individual molecules but how they interact collectively under certain conditions. Biolecta.com
Emergence describes how larger entities or systems can exhibit properties and behaviors that arise from the interactions of their smaller parts. These emergent properties cannot be fully understood by analyzing the individual components in isolation. Wikipedia
Understanding emergence is crucial for grasping the complexities of various scientific fields, including physics and biology. It challenges the reductionist view that attempts to explain phenomena solely based on their constituent parts. Instead, emergence highlights the importance of interactions and relationships within systems, leading to new insights and theories about the nature of reality.
Emergence is classified into two categories:
- Weak Emergence: This refers to situations where the whole appears to exceed the sum of its parts, but can still be computed or predicted from the individual components, albeit with complexity. An example is turbulence in fluid dynamics, which is difficult to predict without sophisticated modelling.
- Strong Emergence: This applies to systems where new properties arise that cannot be explained by their components, regardless of the analytical depth. Consciousness is often cited as an example of strong emergence, where self-organizing behaviour leads to unpredictable dynamics.
Is emergence the answer to sentient artificial life? The meaning of sentient artificial life here involves the quest for AGI or Artificial General Intelligence.
Can you build a machine with enough artificial neurons such that the emergence of sentient life will automatically occur? Will it arise as an emergent property of the collective whole?
In October 2024 the Nobel Prize was given in physics for pioneering work on artificial neural networks, which provided the foundation for many of the artificial intelligence (AI) technologies in use today. The idea is that these neural networks mimic human intelligence. Source.
Certain processes in the brain, such as recognition and classification, can be modeled as interactions of artificial neurons, or “nodes,” in a highly interconnected network. This physics-inspired approach to human learning has been recognized with the 2024 Nobel Prize in Physics. John Hopfield from Princeton University and Geoffrey Hinton from the University of Toronto share this year’s prize for their work on artificial neural networks, which have become the basis of many artificial intelligence (AI) technologies, such as facial recognition systems and chatbots.
There is a lot of significant physics that can be explained by emergence. But that does not mean that intelligence in living organisms, especially in the human brain, arises from the collective of all the neurons together. However this is an ongoing field of physics where many scientists believe that they can identify the source of not only intelligence but consciousness itself. For example, see Consciousness as an Emergent Phenomenon: A Tale of Different Levels of Description.
One of the biggest queries in cognitive sciences and philosophy is the emergence of consciousness from matter.
The belief in sentient life being merely the result of a sufficiently large number of neurons is firmly founded in the atheistic and hence Satanic belief that life originally arose by a particular, yet accidental, organisation of biomolecules in some pond scum on this planet after it allegedly cooled from hot magma.
The abiotic origin of life — abiogenesis — refers to the natural process by which life allegedly arose from non-living matter, such as simple organic compounds, on early Earth more than 3.5 billion years ago. But it remains a fact-free science.
Nevertheless the process is hypothesized to have occurred through a gradual increase in complexity, beginning with the formation of a habitable planet, followed by the prebiotic synthesis of organic molecules, molecular self-replication, self-assembly, autocatalysis, and the emergence of cell membranes.
The alleged transition from non-life to life has never been observed experimentally. Numerous theories exist but it remains in the category of fairy tales.
Intelligence and sentient life can only come from the omniscient Creator, the Almighty. It is not a property of the molecules, whether they be neurons in the brain or elsewhere. So to say you just need the right number and arrangement of artificial neurons, i.e. GPU processor units, and intelligent life will spontaneously arise, is a complete misunderstanding of what life is.
It is a category problem. Because intelligent sentient life is not a property of matter but the product of the Mind of God. It is not even in the same category as the latter. No amount of AI data processors will ever achieve anything comparable to the intelligence of even a small animal. See AI Developers are Realizing that AI “Agents” Cannot Replace Humans – AI “Not Comparable to Humans or even Animals”
Sure, massive amounts of data can be processed and sorted and used by humans to understand problems and perhaps how to solve them, but in the sense of a living being, no intelligence will ever arise.
1 And I, brothers, when I came to you, came not with excellency of speech or of wisdom, declaring to you the testimony of God. 2 For I determined not to know any thing among you, save Jesus Christ, and him crucified. 3 And I was with you in weakness, and in fear, and in much trembling. 4 And my speech and my preaching was not with enticing words of man’s wisdom, but in demonstration of the Spirit and of power: 5 That your faith should not stand in the wisdom of men, but in the power of God.
1 Corinthian 2:1-5 AKJV
Mankind largely has now rejected Christ, and His wisdom via the Holy Spirit. They traded that for man’s wisdom, which is nothing by comparison. Sentient intelligent life is only the result of the power of God. Without that all man’s efforts will come to nought.
6 However, we speak wisdom among them that are perfect: yet not the wisdom of this world, nor of the princes of this world, that come to nothing: 7 But we speak the wisdom of God in a mystery, even the hidden wisdom, which God ordained before the world to our glory: 8 Which none of the princes of this world knew: for had they known it, they would not have crucified the Lord of glory. 9 But as it is written, Eye has not seen, nor ear heard, neither have entered into the heart of man, the things which God has prepared for them that love him. 10 But God has revealed them to us by his Spirit: for the Spirit searches all things, yes, the deep things of God. 11 For what man knows the things of a man, save the spirit of man which is in him? even so the things of God knows no man, but the Spirit of God.
1 Corinthian 2:6-11 AKJV
The dreams of the AI quest for artificial intelligence will come to nothing as the AI bubble will eventually burst in the same way that the Tower of Babel came down when it was destroyed by God. He sent the inhabitants out from Babel babbling in their own languages, which were instantly created in their minds by the Creator. No evolution occurred nor was it needed.
Related Reading
- Can AI Ever Be Sentient?
- When AI Perfectly Mirrors the Values of Its Satanic Creators
- Lessons from the Tower of Babel: AI’s New Age
- Exploring AI’s Dark Side: Skynet and Real-World Implications
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