The Future of Humanity is the Future of AI: Machine Intelligence and Human Inventions
The future of humanity is the future of AI, the future of AI is the future of humanity.
Real Artificial Intelligence will be much more intelligent than humans within several years, transforming society and all future, while preserving the most valuable legacy inventions and innovations, scientific, technological, social or cultural.?
Introduction
The future of of humanity is framed in dramatic, dystopian visions, like mass unemployment, autonomous lethal weapons and AI turning on its human creators, with humanoid robots stealing human jobs, corporations and governments using powerful technologies for population surveillance and digital control, using implants ranging from brain microchips and neural lace to mind-controlling prosthesis and subdermal RFID chips.
In the largest survey on the future of AI, 2,778 researchers were asked for their predictions on the pace of AI progress and the nature and impacts of advanced AI systems. More than half suggested that “substantial” or “extreme” concern is warranted about six different AI-related scenarios, including spread of false information, authoritarian population control, full automation of labor, and worsened inequality.
Now, a human-like and human-level, human-compete AGI is expected soon by Altman (OpenAI), Bill Gates (Microsoft), Demis Hassabis (Google DeepMind), Jensen Huang (Nvidia), Musk (Tesla), Mark Zuckerberg (Meta), and Jamie Dimon (CEO of JPMorgan Chase).
Having worked for decades on a real, human-complete AI as an alternative to the human-compete AGI, we see the human future completely different, and many of its forecast reverses and misfortunes reflect our own misassumptions, biases and foibles - and can be prevented.
Human-Complete AI or Human-Compete AI: Human-Friendly or Human-Unfriendly Technology
NewScientist asked the chatbot ChatGPT what the rise of AI could mean for humanity’s future, getting a measured response that “the future of humanity with AI is not predetermined, and its impact will depend on how AI is developed, regulated, and integrated into various aspects of society”.
Indeed, the Inventions of Machine Intelligence with its AI Technological innovations could either disrupt, or destruct human future, with the best Human Inventions and Innovations.
The outcome depends on the the kind of MI/AI to prevail:
AI as a human-compete AI, modeling and simulating the human intellect and behavior by machines, computer systems and programming software
or
AI as a human-complete AI, modeling and simulating the world of reality and intelligence, its entities and interactions, regularities and causal laws, by machines, computer systems and programming software.
With Artificial Human Intelligence, imitating human mentality, strategic thinking, reasoning, counterfactual thinking, emotions, and consciousness, the most of inventions as listed below will be destructively disrupted or creatively disrupted.
It is replacing and making obsolete human inventions and innovations, like as generative AI technologies, a cornerstone of AHI, mimicking human creativity and intelligence, to generate human-like content such as audio, text, images, video, or programming codes—to effectively replace people in many jobs.
As such, there are three kinds of AI emerging as fake/false/imitating AI or Real/Scientific/True AI:
Narrow human-like superintelligence AI systems (ANI), imitating parts of human intelligence.
General human-like and human-level AI systems (AGI, Full AI, Strong AI), imitating all human intelligence.
Really intelligent, autonomous machines, augmenting and complementing humans.
Machines operate differently, in terms of world models and causal patterns, but applying quantities and data, numbers and statistics, figures and digits, tokens and syntax, mathematics and probabilities, precision and accuracy, computing power and algorithms.
It is a stimulus-response black box model, having its multi-inputs and multi-outputs (or transfer characteristics, a transfer function, system function, network function, generalized as a transfer matrix) producing useful conclusions/information without showing any information about its internal workings, which mechanisms/explanations remain opaque/“black.”
Humans think in terms of world models and causal rules, but applying qualities, senses and meanings, concepts and ideas, semantics and pragmatics, biases and prejudices, knowledge and wisdom.
In all, it is two different worlds, the world of quantitative/physical/cybernetic machines vs. the world of qualitative/emotional/feeling/live humans.
Machines are machines, humans are humans, they can only complement each other.
The human "misinvention" or "disinvention" of AHI as computer hardware/software that mimics aspects of human intelligence, which is faking humans, generates deep-fakes, constantly hallucinating, is a way to a triple-fake, human-compete technology, threatening the future of humanity, with all our best inventions, scientific, technological, social and cultural.
Human Inventions and Innovations
Inventions are unique discoveries or?novel?devices, methods, compositions, ideas or processes. while innovation is the implementation of a?creative?idea leading to greater value or usefulness.?
Inventions are broadly of three kinds:
scientific-technological (including medicine),?
sociopolitical?(including economics and law),
humanistic, or cultural inventions, ?including norms of?behaviour?adopted by?groups?of?people.
Scientific-technological inventions
Scientific-technological inventions include?railroads,?aviation,?vaccination, hybridization,?antibiotics,?astronautics,?holography, the?atomic bomb,?computing, the?Internet, and the?smartphone.
Sociopolitical or Cultural inventions
Sociopolitical inventions comprise new laws, institutions, and procedures that change modes of social behavior and establish new forms of human interaction and organization. Examples include the British?Parliament, the US?Constitution, the?Olympic Games, the?United Nations, the?European Union, and the?Universal Declaration of Human Rights, as well as movements such as?socialism,?Zionism,?suffragism,?feminism, and animal-rights?veganism.
Humanistic inventions
Humanistic inventions encompass culture in its entirety and are as transformative and important as any in the sciences, although people tend to take them for granted. In the domain of?linguistics, for example, many?alphabets?have been inventions, as are all?neologisms.
Literary inventions include the epic,?tragedy, comedy, the?novel, the?sonnet, the?Renaissance,?neoclassicism,?Romanticism,?Symbolism,?Aestheticism,?Socialist Realism,?Surrealism,?postmodernism, and (according to Freud)?psychoanalysis.
Among the inventions of artists and musicians are oil painting,?printmaking,?photography,?cinema, musical tonality, atonality,?jazz, rock,?opera, and the symphony?orchestra.
Philosophical inventions
Philosophers have invented logic (several times),?dialectics, idealism, materialism,?utopia,?anarchism,?semiotics,?phenomenology,?behaviorism,?positivism,?pragmatism, and?deconstruction.
Religious inventions
Religious thinkers are responsible for such inventions as?monotheism,?pantheism,?Methodism,?Mormonism, iconoclasm,?puritanism,?deism, secularism, ecumenism, etc.
Examples of areas where cultural inventions may take place include:
Languages
Legal systems
Political systems
Scientific method
Sports
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Social institutions
Belief systems
Some of these disciplines, genres, and trends may seem to have existed eternally or to have emerged spontaneously of their own accord, but most of them have had inventors.
Real AI Technology
AI = Real AI = Transdisciplinary AI = Interactive AI =
Reality Machine (World Modeling and Reality Simulation Platform, the World Hypergraph Networks + Scientific World Knowledge + the Internet/Web Data) +
Causality Engines (Physical CE, Chemical CE, Biological CE, Mental CE, Social CE, Economic CE, Political CE, Informational CE, Digital CE, Virtual CE, Technological CE) +
PATS [Predictive Analytics Statistic Techniques, Statistical Models, Narrow AI, ML, ANNs, DL] +
[LLMs, Generative AI] +
Knowledge Graphs + Domain Ontologies + Data Sets +
Causal AI (Explainable AI (XAI), "Understandable AI")
Robotic Hyper-Automation +
the Internet of Things +
Emerging Technologies +
Hyperintelligent Hyper-Automation +
Human Intelligence +
Human Inventions and Innovations ..
It is driven by the AI Reality Engine, the World Modeling and Reality Simulating Platform, representing the universe as global causal hypergraphs with complex hyperedges, interrelationships, interactions and interdependencies, among and between all hypernodes, entities, states, changes, or causal variables.
Conclusion
The future of humanity has been decided by which AI technology is to domineer,
Really intelligent, autonomous machines, augmenting and complementing humans.
Or
AHI, which is faking humans, generates deep-fakes, constantly hallucinating, being a triple-fake, human-compete technology.
AHI has already turned on its human creators, giving more power to commercial tech corporations, fattening their mega-profits without a meaningful difference for humanity.
This will lead either to the last ‘AI winter’, or humanity's phasing out, with our best inventions, scientific, social, and cultural.
Resources
[Visionary Innovation Group looked at three fundamental pillars of humanity and how they will evolve over the coming 10-15 years: our bodies, thought, and our behavior, missing the whole point of potential humanity phasing-out by AHI robots].
We have changed the world irrevocably and may soon transform ourselves as a species. Here's a status report on the human experiment
In this keynote and Q&A, Yuval Noah Harari summarizes and speculates on 'AI and the future of humanity'. There are a number of questions related to this discussion, including: "In what ways will AI affect how we shape culture? What threat is posed to humanity when AI masters human intimacy? Is AI the end of human history? Will ordinary individuals be able to produce powerful AI tools of their own? How do we regulate AI?"
FHI is a multidisciplinary research institute at the University of Oxford. Academics at FHI bring the tools of mathematics, philosophy and social sciences to bear on big-picture questions about humanity and its prospects.
Extinction ? Recurrent collapse ? Plateau ? Posthumanity
Supplement: THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI
ABSTRACT
In the largest survey of its kind, we surveyed 2,778 researchers who had published in top-tier artificial intelligence (AI) venues, asking for their predictions on the pace of AI progress and the nature and impacts of advanced AI systems.
The aggregate forecasts give at least a 50% chance of AI systems achieving several milestones by 2028, including autonomously constructing a payment processing site from scratch, creating a song indistinguishable from a new song by a popular musician, and autonomously downloading and fine-tuning a large language model.
If science continues undisrupted, the chance of unaided machines outperforming humans in every possible task was estimated at 10% by 2027, and 50% by 2047. The latter estimate is 13 years earlier than that reached in a similar survey we conducted only one year earlier [Grace et al., 2022].
However, the chance of all human occupations becoming fully automatable was forecast to reach 10% by 2037, and 50% as late as 2116 (compared to 2164 in the 2022 survey).
Most respondents expressed substantial uncertainty about the long-term value of AI progress: While 68.3% thought good outcomes from superhuman AI are more likely than bad, of these net optimists 48% gave at least a 5% chance of extremely bad outcomes such as human extinction, and 59% of net pessimists gave 5% or more to extremely good outcomes.
Between 37.8% and 51.4% of respondents gave at least a 10% chance to advanced AI leading to outcomes as bad as human extinction.
More than half suggested that “substantial” or “extreme” concern is warranted about six different AI-related scenarios, including spread of false information, authoritarian population control, and worsened inequality.
There was disagreement about whether faster or slower AI progress would be better for the future of humanity. However, there was broad agreement that research aimed at minimizing potential risks from AI systems ought to be prioritized more.
What's PostFlow? Find out at gopostflow.com // Applied AI & Data Enthusiast, AI Content Creator at PostFlow: writing about the future of content creation here.
7 个月The advancements in AI indeed present a dual possibility of disruption or innovation, depending on how it's utilized. Human-compete AI, aiming to replicate human intellect, may lead to the replacement of certain human tasks and jobs. On the other hand, human-complete AI, focusing on modeling reality and intelligence, holds potential for creative disruption by enhancing human capabilities and addressing complex challenges.