Why Humans Are Doomed to Go Extinct: falsity is reality, antiscience is science, artificial stupidity is artificial intelligence
“One day the AIs are going to look back on us the same way we look at fossil skeletons on the plains of Africa. An upright ape living in dust with crude language and tools, all set for extinction.”?Ex-Machina
War is Peace. Freedom is Slavery. Ignorance is Strength
Falsity is Reality. Antiscience is Science. Antitechnology is Technology
Fake News, Lies and Propaganda are Facts, Truths and Actuality
Who controls the future controls the present and the past
Lack of a central strategy for understanding the world, as the unifying model of all human knowledge, philosophy and science, arts and technology, results in the imitation of science or antiscience and anti-intellectualism, hostility to general intelligence and rationality, and mistrust of education, philosophy, art, literature, and science.
Introduction: Science vs. Pseudo-, Anti-, Non-Science
In plain language, anti-, pseudo-, or non-science is what creates misinformation contributing to "information?overabundance, infobesity, info glut, data smog, information pollution, information fatigue, social media fatigue,?social media overload, communication overload, and cognitive overload".
Anti-science as a set of attitudes and beliefs that are opposed to or reject science and scientific methods and principles is fast growing.
Antiscience is?the rejection of mainstream scientific views and methods or their replacement with unproven or deliberately misleading theories, often for nefarious and political gains.
A science involves a pursuit of knowledge covering general truths or the operations of fundamental laws.
Science is?the pursuit and application of knowledge and understanding of the natural and social world, the cognitive and informational world following a systematic methodology based on causal evidence.?
Most scientists could be classified as antiscientists holding antiscientific views of ignoring ?real science as a causal/systematic method to generate the universal knowledge about the world of reality, the physical, the natural, mental, social and technological worlds.
Here is the recent pseudoscience scandal proving case of galactic size.
Galactica is an artificial intelligence developed by Meta AI (Facebook Artificial Intelligence Research) to use machine learning to "organize?science." For "information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone".
It is presented as a large language model (LLM) for science, trained on 48 million examples of scientific articles, websites, textbooks, lecture notes, and encyclopedias. Meta promoted its model as a shortcut for researchers and students. In the company’s words, Galactica “can summarize academic papers, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.” As to its authors, Galactica outperforms the latest GPT-3, Chinchilla on mathematical MMLU, and PaLM 540B on MATH. It also sets a new state-of-the-art on downstream tasks such as PubMedQA and MedMCQA. And despite not being trained on a general corpus, Galactica outperforms BLOOM and OPT-175B on BIG-bench. [Meta’s Galactica: A Large Language Model for Science]
It's caused a sort of sensation since a demo version was released online last week, with critics suggesting it produced pseudoscience, was overhyped and not ready for public use.
LLMs are simply stochastic parrots to fine-tuning next tokens. AI models could obtain intelligence or learning, sense or meaning, ONLY provided the AI scientific world model engine is encoded/programmed/pretrained.?Some of them are coming to this hard truth, as Meta AI chief, Y. LeCun.?
What Causes Science Denial
It is a fragmentation, hyperspecialization, mono-disciplinarity, sciences in silos, extreme reductionisms and empiricism, and mass commercialization, all what results in loosing the inherent value, wholeness, integrity, and unity of world knowledge.
Such antiscience has no idea about the world of reality, its complex causality and systematic phenomena as emergence that strong interactions between elements/units produce new phenomena in "higher" levels that cannot be accounted for solely by reductionism. Its best technologies are fake and false, basing on spurious statistical relationships, misrepresented as "artificial intelligence", "machine learning", "deep learning", "artificial neural networks", etc.
Artificial intelligence is Artificial stupidity, and vice versa. Science is Antiscience, and vice versa.
Its outcomes are: mass ignorance and illiteracy, fake news, deepfakes, big fake technology companies, dis-, mis-information, conspiracy theories, techno-dystopia, technophobia, ani-AI, neo-Luddism, loss of private security, exploiting personal data, political extremism, scientism, anarcho-primitivism and total mistrust to all and everybody.
AI, Illiteracy and the anti-technology movement?
As a result, illiteracy of all sorts and types is getting an intolerable scale and scope. Here is the shocking case of?AI literacy?in America (16%).
That AS is AI could be evidenced by its mass illiteracy and strong anti-technology movement in the technologically developed countries as the US.
As the largest group within the anti-AI category, we can identify activist social movements, such as environmentalist, feminist, religious, or consumer groups.
Certain groups resist AI (and other new technologies) almost as a cultural mission, attempting to influence public opinion via existing platforms. One such group is known as the “reflective elite”, consisting of celebrities, academics and other individuals with great symbolic influence. For instance, this group includes Stephen Hawking on the perils of AI, or Elon Musk’s argument that “AI is far more dangerous than nukes”.
The reason is the same, the whole idea of AI is badly anthropomorphized, as human-like and human-level, being decoupled from the scientific ground of reality, appearing as Fake/False AI vs. Real/True AI.
The Fake AI describes efforts "to teach computers to imitate a human’s ability to solve problems and make connections based on insight, understanding and intuition".?
The Fake Machine learning (ML): The general problem of teaching computers about the world with a larger and larger training data set of biased examples.?
Robotics: Designing machines that can do all human jobs and tasks faster, cheaper and better, including repetitive, strenuous or dangerous work.
That's why at the American SXSW festival, individuals held up signs such as "Stop the robots" and "Humans are the future".
Antiscience is Science
An old academic aphorism is that, “Deans can’t read, but they can count.” Every hire, promotion, and grant application depends on a publication list. Publication counts are also pumped up by hyper-authorship—papers with literally hundreds or even thousands of co-authors. Between 2014 and 2018 there were 1,315 papers published with more than 1,000 co-authors. A 2021 paper set the Guinness record with 15,025 co-authors.
Peer review is no guarantee of quality There are far too many papers than could be reviewed carefully and most active researchers are far too busy publishing their own work to do more than cursory reviews of other people’s papers. Nor is journal reputation a guarantee of quality. If anything, it seems that papers published in high-impact journals are more likely to be retracted subsequently:
Keeping up with?research?in one’s own field is daunting, and in related fields is overwhelming.
Yet, too many researchers see the blurring of disciplinary boundaries as a threat to disciplines and too many universities penalize researchers who cross disciplinary borders by making it harder for them to get tenure and be promoted, with the highest performing multidisciplinary researchers penalized the most.
We need more multidisciplinary researchers, people who can integrate insights from multiple fields, and fewer researchers working in isolated silos, barely aware of what other researchers are doing in other silos. THE HYPER-SPECIALIZATION OF UNIVERSITY RESEARCHERS.
Take the case of arXiv, "a free distribution service and an open-access archive for 2,159,445 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv".
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Or, take another sample of the ERC, with its Panel structure for ERC calls 2021 and 2022?, see the Supplement.
No order, no logic, no sense, no universality, no unifying schema, without any system or sense, but a chaos of unconnected overspecialized knowledge fields and narrow domains having nothing with the real-world problems and tasks, which request the transdisciplinary R & D.
Physics
Mathematics
Computer Science
Quantitative Biology
Quantitative Finance
Statistics
Electrical Engineering and Systems Science
Economics
An attraction of ArXiv is that one could publish anything which nobody reads or applies,?even authors themselves. This is what makes research information?overabundance, infobesity, info glut, data smog, information pollution, information fatigue, social media fatigue,?social media overload, communication overload, and cognitive overload.
Such fragmentary approaches are unable to solve any real-world problems requesting the systematic and systemic transdisciplinary science model
Why Humans Go Extinct
"Humans Are Doomed to Go Extinct" not because of nuclear annihilation or Habitat degradation, low genetic variation and declining fertility setting?Homo sapiens?up for collapse.?
We betrayed the ancient ideals of a unified science, general intelligence, synthesis and the integration of all human knowledge
Wise quotations from the last generalists:
"The modern mind divides, specializes, thinks in categories: the Greek instinct was the opposite, to take the widest view, to see things as an organic whole. The Olympic games were designed to test the arete of the whole man, not a merely specialized skill. The great event was the pentathlon, if you won this, you were a man. Needless to say, the Marathon race was never heard of until modern times: the Greeks would have regarded it as a monstrosity."
"Previously, men could be divided simply into the learned and the ignorant, those more or less the one, and those more or less the other. But your specialist cannot be brought in under either of these two categories. He is not learned, for he is formally ignorant of all that does not enter into his specialty; but neither is he ignorant, because he is 'a scientist,' and 'knows' very well his own tiny portion of the universe. We shall have to say that he is a learned ignoramus, which is a very serious matter, as it implies that he is a person who is ignorant, not in the fashion of the ignorant man, but with all the petulance of one who is learned in his own special line."
"It is the custom among those who are called 'practical' men to condemn any man capable of a wide survey as a visionary."
Omniscient AI machines are the only effective remedy to the harmful effects of excessive specialization and isolation in data/information/knowledge silos.
Human extinction, or?omnicide, is the end?of the human species due to either natural causes such as?population decline?from?sub-replacement fertility, an?asteroid impact, or?large-scale volcanism, or to?anthropogenic?(human) causes.
As the human causes, there are?climate change,?global nuclear annihilation,?biological warfare, and?ecological collapse.
Most probable scenarios of human extinction is the antiscience and its existing nuclear technologies (global thermonuclear war) and emerging technologies, such as?human-like and human-level artificial intelligence,?biotechnology, nanotechnology, or?self-replicating nanobots.
Resources
The only real solution is a transdisciplinary R & D https://www.dhirubhai.net/pulse/ontological-interactionism-world-model-everything-final-abdoullaev/?trk=pulse-article_more-articles_related-content-card
Supplement
Physical Sciences and Engineering
PE1 Mathematics All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics?
PE2 Fundamental Constituents of Matter Particle, nuclear, plasma, atomic, molecular, gas, and optical physics...
Social Sciences and Humanities?
Project Director - Design & Construction | Owners Rep | Project Delivery Manager | Intrapreneur I Business Developer | Cross Functional Leader | SME
1 年I do think we need to initiate a new phase of neo-luddism on artificial intelligence. END OTP NONSENSE. Arent there any reliable credit/debit cards, login accounts left!?
Consultant for Data Science and Business Intelligence
1 年Is there any way that this can be shared to others using other platforms?