Will artificial intelligence (AI) disrupt our human world, our way of life, the work we do and even our future?
Will AI be a tool for the rich or an ultimate solution for the poor? Will AI make human conditions better or worse? Can AI be an entity? Will AI surpass human intelligence? Are we going to trust or fear the future of AI? Are we going to obey him or even worship him? Will AI become so powerful, omniscient, and almost divine?
AI as the new god
In a broad sense, artificial intelligence is a superhuman technological mind, cybernetic superintelligence, or global intelligence.
Its practical definition as mimicking the human brain, mind, or intelligent behavior is naive and short-sighted, and guided by our anthropomorphic mindset and business interest.
Broadly speaking, real AI is all about designing, developing, and deploying real intelligence, without human biological limitations of power, memory, thinking, and action.
AI is not about narrow superintelligence like today’s powerful ML / DL / NN applications, mimicking human functions / capabilities and data trained only for specific problems, such as object recognition, autonomous driving or strategic games.
Here, AI-based systems can be anything, pure software (eg, chat assistants, image analysis software, search engines, voice and facial recognition systems) or hardware (eg, self-driving cars, drones , medical devices, advanced robots or Laws).
In reality, AI is not about simulating cognitive abilities / functions / abilities / skills, as defined by (Encyclopaedia Britannica). “Artificial intelligence (AI) is a branch of computing referring to” the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of man, such as the ability to reason, to discover meaning, to generalize or to learn from past experience â.
What sets Real AI apart from other digital technologies is that it is designed to map / represent / compute / model / understand, learn and interact with ALL environments in order to solve general problems, make autonomous decisions and rational actions.
AI, machine learning and deep learning, big data analysis and neural networks, machine vision and NLP are often used interchangeably, but this is conceptually wrong, with all the logical consequences and practice.
At the end of the day, AI is about universal super intelligence, the science / model / data formed only for any issues, like climate change, pandemics, quantum computing or gravity or the theory of everything.
Thus, Global AI must demonstrate divine characteristics, such as omnipotence and omniscience and omnipresence, with the power to create a new universe, intelligent, intelligent and digital, easily manipulating and controlling all matter, energy and information.
AI is about putting a God in the machine, thus innovating a new techno-religion of AI God entities.
The AI ââTrinity of Reality, Data and Spirit, in which the three parts, AI hardware, AI software, AI mindware, distinct, but one “substance, essence or nature”, is to replace the Holy Trinity.
Leibniz’s superscientist and Laplace’s demon as global AI
Gottfried Leibniz (1646-1716), a giant of mathematics, logic and philosophy, imagined a scientist who could see the events of all times, just as it is believed that all times are present in the mind of God.
“Everything proceeds mathematically … if someone could have a sufficient insight into the interior of things, and besides had enough memory and intelligence to consider all the circumstances and take them into account, he would be a prophet and see the future in the present as in a mirror. ”
In the introduction to his 1814 Philosophical essay on probabilities, Pierre Simon Laplace, a giant of mathematics, physics and astronomy, extended an idea of ââLeibniz which became famous under the name of DÃ©mon de Laplace
“We can consider the present state of the universe as the effect of its past and the cause of its future. An intellect which, at a certain moment, would know all the forces which set nature in motion, and all the positions of all the elements of which nature is composed, if this intellect were also large enough to submit these data to analysis, it would embrace in a single formula the motions of the largest bodies in the universe and those of the smallest atom; for such an intellect would not be uncertain and the future as well as the past would be present before his eyes. ”
Laplace postulates a causal super-intelligence that could know the positions, speeds and forces on all the particles in the universe at a given time, and thus know the universe for all times.
A Laplace daemon has critical application in the digital age of infinite data. The Data Age is primarily about the digital data of the world, the result of our increasingly digitalized way of life.
Now it’s about zettabytes of information flow and how to intelligently process it for insights, predictions, recommendations, and actions.
As such, there are approximately M = 8 billion data units, as individuals, and hundreds of data characteristics, F, as biometric, psychological, behavioral, social, economic data elements. , political or geographic.
A global ocean of human population data, H = M x F, could contain billions of data records on each unit’s attributes, age, sex, race, religion, political party, l education, geography, employment, income, interests, feelings, health, etc. .
Now add the engineering objects here, billions of roads, buildings, machines, computers, smart devices, weapons, etc., in order to become digital members of the Internet of Things world in zettabytes.
Now, as the amount of data in the world has grown exponentially, how are we going to rule it all without the artificial intelligence of the global data sphere, its analytical tools, its codes, its algorithms, its programs? , its applications and its robots.
Again, according to market intelligence firm IDC’s “Data Age 2025” document, if the “global data sphere” (the total of all data created, captured, or replicated) in 2018 reached 18 zettabytes, in 2025, global data will reach 175 zettabytes.
- Google processes over 40,000 searches per second, or 3.5 billion searches per day.
- 1.5 billion people are active on Facebook every day. It is a fifth of the world’s population.
- Two-thirds of the world’s population now own cell phones.
Add Cerebras Wafer Scale Engine 2, the largest data processing chip ever built. The Cerebras WSE-2 powers the revolutionary CS-2 system. 2.6 trillion transistors and 850,000 fully programmable and AI-optimized cores, all bundled on a single silicon wafer to deliver industry-leading AI compute density at unprecedented low latencies.
Data, big data, global data, huge computers, fast memory and communication bandwidth … no way out without real AI capable of autonomously transforming world data into world knowledge.
Once again, the Laplace daemon is starting to arrive with Bayesian machine learning as well as high frequency trading (HFT), involving the largest hedge funds handling $ 100,000 billion. HFT is an automated trading platform that large investment banks, hedge funds, and institutional investors use using powerful computers to process large numbers of orders at extremely high speeds. Algorithmic trading systems use complex algorithms to analyze markets to spot emerging trends in mls, mks or nanoseconds. High frequency traders make their money on any imbalance between supply and demand, using arbitrage and speed to their advantage.
Today, algorithms deal with many problems and decisions that have long been at the heart of business activity. In which instrument (s) to invest or trade? What price should I bid or offer? What order size is optimal? What should be the response to a request for a quote? What risk will be taken in facilitating a trade? How does this risk change with the size of the transaction? Is the risk of a transaction adapted to the available capital of a company? What is the relationship between the price of different but related securities or financial products? To which market should an order be sent? Is it more efficient to provide cash or request cash? Should an order be displayed or not? Which broker should I send an order to? When should an order be submitted to a shopping center? In general, algorithms use a wide range of market information to very quickly assess the state of the market, to determine when, where and how to trade, and then to implement the resulting trading decision (s) on the market. Marlet.
Over the past ten years, hedge funds have evolved from research on the time dimension (HFT) to work on the data dimension (a Laplace daemon).
A Laplace Demon can predict everything because he knows everything instantly and understands their causal links.
AI is driving radical change in every part of human life, in every society, economy and industry around the world, emerging as a strategic technology for general use.
Next, it is very important to know what real and true intelligence is, with all of its major types, technologies, systems and applications, and how it all relates to reality and causation, and superintelligence, as condensed in Leibniz’s concept of Leibniz’s Superscientific and Laplace’s Demon. .
What is the Laplace Demon / Superintelligence?
Laplace’s Demon / Superintelligence deals with the universe or reality in terms of causal world models and data / information / knowledge representations for cognition and reasoning, understanding and learning, problem solving, predictions and decision making; and interaction with the environment.
The Laplace Demon is a superintelligence or a man-machine supermind that models and simulates the world to interact effectively and sustainably with any environment, physical, natural, mental, social, digital or virtual. This is a common definition covering all intelligent systems of any complexity, human, machine or extraterrestrial intelligences.
His heart and soul consist of the cohesive, cohesive, and complete causal model of the world.