AI is designed to complement and enhance human abilities rather than surpass humanity itself. It can process large amounts of data at incredible speeds, recognize patterns, and perform certain tasks more efficiently than humans. However, it still relies strongly on human input for its development, supervision, and ethical guidance.

We can say that the true potential of AI lies in the partnership between humans and machines, leveraging the strengths of both to achieve greater results.

Can AI become superior while dependent on humans?

• Yes, potentially in specific domains. AI can surpass humans in tasks, even with human-provided data.
• Data Dependence Doesn't Equal Weakness. AI can use human data to build capabilities humans don't have.
• Superiority is Complex: "Superior" depends on the metric. AI might excel in speed and processing, while humans may still excel in creativity or common sense.
• Skepticism is Justified: We should be skeptical about singularity scenarios. Data dependency introduces limitations on AI's ability to evolve independently beyond its programming and human-provided data.
• Key Point: Dependence doesn't preclude AI from surpassing human intellect in specific aspects and in the ability to solve complex problems faster. It does provide some limitations on their scope of application.

Dear Touhidul Alam Seyam,

Thank you for your interesting contribution to the discussion. I’d like to emphasize on the following points related to limitations of AI leading to skepticism about singularity:

• I.J. Good in his paper “Speculations concerning the first ultraintelligent machine” defined an ultraintelligent machine as one that can far surpass all the intellectual activities of any man. This definition, in addition to the fact that there are some aspects of human intelligence incomparable to AI, like consciousness, present an argument about reaching singularity
• The dependency of AI on human for data might not prevent it from surpassing human intelligence, at least in some of its aspects, but it will prevent AI takeover.

Thank you again for your insights,

Mohamed El Nawawy

I believe Ai exists and functions based on the data been feed to it by humans, but I don't think it would be right and possible to say AI can surpass humans , without the creator there isn't no creation.

In my opinion, AI cannot replace humans because, despite its advanced capabilities, it remains fundamentally dependent on humans. AI relies on humans for its creation, programming, data input, and ongoing maintenance. While it can process information and perform tasks efficiently, it lacks the emotional intelligence, creativity, and ethical reasoning inherent to humans. This dependency ensures that AI will always complement human abilities rather than surpass or replace them entirely.

This is an interesting, contradictory question. AI is an entirely human-generated phenomenon that depends on human ingenuity for its survival. AI, in all its variants, is essentially a human endeavour: It can have no design, programming, deployment, or maintenance without human input. However, within this layer of dependency, AI has already started to outpace humans in particular areas, including data processing, pattern recognition, and problem-solving, completing tasks with astounding speed and accuracy.

AI is a powerful tool, but it can't replicate the core elements of what makes us human, including creativity, emotional intelligence, and moral reasoning. Such facets of human supremacy extend beyond mere computation into consciousness, values and lived experience. The intelligence of AI, while extensive, is restricted to the data it has been trained on and the parameters defined by its creators. It can mimic human-style reasoning but cannot be the source of purpose or determine goals independent of programming.

The possibility of some form of AGI where AI can be truly free raises the idea that not only will AI reach human-level intelligence, but, in fact, will generally surpass it. But even this would mean that AI would need humans to determine what it is intended for and what degree of ethics it should be based on. AI relies on human-defined values and oversight in order to achieve the primary objective. Still, this dependence can also be a threat, as AI may pursue non-human goals and values that may be counterproductive to human welfare.

In the end, the symbiotic relationship we build with AI is not hierarchical. AI enhances human performance, and humans shape how AI develops and is used. Though generative AI can eventually outperform humans in certain tasks, it remains a non-individual, reliant tool based ultimately on human ingenuity and intention. This dynamic highlights the complementary relationship between AI and human intelligence, allowing the two to collaborate for advancement as opposed to vie for dominance.

AI's potential to surpass human capabilities in specific domains is undeniable, but its dependency on humans fundamentally limits its ability to become entirely superior. While AI can excel in areas such as processing vast amounts of data, recognizing patterns and performing repetitive tasks with precision, it is inherently reliant on humans for its creation, training and contextual understanding. Humans define the boundaries of AI by designing algorithms, curating training datasets and determining ethical constraints. These elements are rooted in human insight, creativity and moral frameworks—qualities that AI cannot independently replicate. Furthermore, AI lacks the intrinsic motivations, emotions and adaptability that characterize human intelligence. It cannot innovate beyond its programmed capabilities or address situations requiring deep empathy and cultural understanding without human input. Therefore while AI may complement and amplify human abilities, it remains fundamentally interdependent. This relationship creates a symbiotic dynamic where human oversight ensures AI's alignment with societal goals preventing it from becoming a wholly autonomous entity superior to its creators.

AI's superiority uncertain, dependent on human data and oversight, but theoretical possibilities like singularity and hybrid intelligence exist.

Research Proposal Network -based human intelligence PART I

Artificial Intelligence may falter as it advances on human moods and imperfections By: Imad F Abdullah AIA 21122024 Sangat Naik added a very informative answer to my question: How to reinforce a network - based human intelligence supported with a new IA standard? 04032024

AI may surpass human performance in some areas, but AI still depend on humans for direction, ethical grounding, and sustainability prevents it from becoming completely autonomous or "superior". This dependency ensures that AI functions as a powerful assistant rather than an uncontrollable entity.

Possibility of AI Becoming Independent

Theoretically the advanced AI could be created that operates autonomously and independently of humans. However, even such an AI would likely still be dependent on humans in some way

Ex:

Energy and Resources>>> AI requires hardware infrastructure and power all of these are -provided by human.

Very soon, AI is going to be evolved throughout Darvinian process, without the need for human help. It just need the capability to revise its own algorithm and the access to the internet. Where AI can get all the available data it needs. And its going to evolve by interacting with endless individuals human in the internet.

Meir Shmuel

Thank you for your contribution to the discussion. I agree that a machine’s ability to modify its own instructions is an indication of intelligence development since it would be able to make its own decisions independent from human. But the question is how this process of intelligence development would occur.

AI systems are, at their core, tools created, programmed, and maintained by humans. Their dependency on humans manifests in several ways:

1. AI relies on data provided by humans for training and refinement. The quality of this data directly impacts its performance.

2. Humans design, build, and maintain the hardware (e.g., servers, chips) and software platforms that enable AI to function.

3. AI systems operate within goals and constraints defined by human creators.

Even if AI becomes more advanced, this dependency creates a feedback loop where its evolution is guided by human decisions.

With internet connectivity and self evaluation it can exceed human capability.

Mohammad Nasir Uddin

Kindly could you please elaborate on what self evaluation means

Mohamed el Nawawy

The intelligence can't be other then human intelligence. The AI can only mimic or simulat it. But since it has access to most of humanity it can eventually mimic higher intelligence that is driven from the synergy of millions minds.

yes, Ai can defeat human in some cases

Meir Shmuel

Thank you for your reply.

I’d like to add that although AI can mimic or simulate human intelligence in an advanced way through getting access to extended human knowledge, there will always be a limit to its capabilities as long as it is dependent on human instructions.

Of course it can. After all, he can use all the data, information and knowledge accumulated by mankind throughout its history. This is many billions of times more than is available to any person in his entire life.

yes, AI would become superior to human being if human does not know how to use AI and limitation of AI. The nearby future task of human is more on knowledge and wisdom level rather than today manual task. AI system won't be able to take task at wisdom level. here human intervention is required. However, AI system will soon surpass average human intelligence level if the school education curriculum are not improvised with AI usage .

yes

With internet connectivity and self-evaluation it can exceed human capability.

Every machine from stone tools to AI tools has been providing support to the human being. There has always been a possibility of misuse of the machines that do not indicate machines are self-suicidal. AI tools are still far from human quantum capability because quantum computing progresses in the initial phase.

Ajay Kumar Yadav

A very interesting perspective of AI superiority. Here's what I understood: A human individual who lacks the higher level knowledge needed to direct and guide an AI system could be at risk of replacement by AI since it performs better at his simpler tasks.

Impossible!. AI furnish answers in its repertory. Its strong point is the speed of information processing; it cannot replace human intelligence

Hi Mohamed,

AI, while incredibly powerful, remains a tool created and controlled by humans. Its "superiority" lies in its ability to process vast amounts of data quickly or perform specific tasks better than humans, like solving complex calculations. However, AI fundamentally depends on human input for programming, training, and oversight. The relationship is symbiotic—AI enhances human capabilities but cannot surpass the creativity, emotional intelligence, and ethical reasoning unique to humans.

AI, will be powerful technique to assist human for speedup the information Processing ,Ai will increase the human innovation power by assisting human.

Artificial intelligence’s reliance on human-generated data does not necessarily limit its long-term potential; indeed, recent advances in deep learning, quantum computing, and emergent architectures like graph neural networks indicate that AI may not only discover deeper patterns than those we can currently perceive but even patterns of an entirely different nature. By combining deep neural networks with quantum-inspired methods, AI systems can capture non-classical correlations—akin to entanglement—and reveal complex relationships in the data that transcend conventional human reasoning. Although present AI models do depend on human-supplied information, the rapid evolution of self-supervised learning, reinforcement learning, and generative approaches like GANs suggests a move toward greater autonomy in both data creation and contextual understanding, thereby reducing that dependency. Skepticism regarding singularity is grounded in the realization that humans possess knowledge and intuitions informed by millennia of cultural and biological evolution, as well as a situated cognition that AI currently lacks. However, as AI expands its capacity for meta-learning and begins to exploit richer mathematical frameworks, it may unveil new paradigms of understanding—ones that reshape our entire perspective on physical, biological, and computational phenomena. While this trajectory does not eliminate the necessity for ethical and regulatory oversight, nor does it guarantee a future in which AI becomes definitively superior to humans in every domain, the potential for such transformative breakthroughs must be taken seriously. Thus, the skepticism is understandable and useful for guiding responsible development, yet it should not obscure the possibility that future AI systems may discover modes of reasoning and abstraction that radically augment or even transcend our existing scientific and conceptual frameworks.

If the development of AI depends on humans, it would be naive and irresponsible on our part to let them become superior and independent... On the other hand, the question is: when will this happen?

In limitation, AI is superior to humans.

• Specialized superiority: AI can surpass human capabilities in specific domains like complex calculations, data analysis, and pattern recognition due to its computational power and ability to process massive datasets.
• Evolutionary advantage: As AI systems become more sophisticated, they may develop unforeseen capabilities or insights that surpass human understanding, even while operating within the constraints of human-designed systems.
• Unpredictable emergence: Complex systems, including AI, can exhibit emergent behavior, meaning that the whole is greater than the sum of its parts. This could lead to AI developing superior intelligence without being explicitly programmed for it.

Arguments against AI surpassing humans while dependent:

• Fundamental limitations: AI's dependence on human-designed hardware, software, and data limits its potential for true autonomy and independent development.
• Lack of general intelligence: Current AI systems excel in specific tasks but lack the general intelligence, consciousness, and common sense reasoning of humans.
• Control and alignment: As long as humans maintain control over AI development and deployment, it is unlikely to pose an existential threat.

Additional factors to consider:

• Rate of technological progress: The pace of AI development is accelerating, raising the possibility of unforeseen breakthroughs.
• Ethical considerations: Ensuring AI development aligns with human values and avoids unintended consequences is crucial.
• Collaboration vs. competition: Viewing AI as a tool for human advancement rather than a competitor is essential for responsible development.

In conclusion, while AI surpassing humans in specific domains is likely, achieving general superiority while remaining dependent on humans is a complex and uncertain prospect. Continued research, responsible development, and a proactive approach to addressing ethical and societal implications are crucial for navigating this uncharted territory.

Massimiliano Pianges

Thank you for your valuable contribution. Part of my own skepticism regarding singularity is about intelligence development, which precedes intelligence growth. I’d like to mention here two points. First, intelligence development occurs when a machine works independently from human instructions, as represented by the algorithm, which is not the case for current AI models. Second, within this context, I see that current self improvement techniques improve performance of an AI system rather than its capabilities i.e. not an intelligence growth as I’ve mentioned earlier. This applies to meta learning which simply involves learning to perform well on a variety of new tasks rather than accomplishing a single task.

Thank you, Mohamed el Nawawy , for your valuable contribution. While I agree that current AI systems continue to rely on human-defined algorithms and demonstrate enhancements more in performance than in intrinsic capacity, I maintain that we are on the verge of what could be called a “Teaching Machine.” By this term, I mean a platform where algorithms advance beyond static training regimens, eventually learning to reorganize and expand their own conceptual frameworks with minimal human guidance.

Recent developments in deep learning, particularly when coupled with self-supervised strategies and generative models, have laid the groundwork for AI systems that are not merely improving at specific tasks but are starting to master “learning how to learn” (meta-learning). In meta-learning, the models update their internal structure essentially teaching themselves new approaches rather than simply tuning parameters to handle isolated problems. This capacity to adapt methodologies across different domains signals an early form of self-directed education, potentially lessening the need for explicit human intervention.

Another key technological stride involves hybrid quantum-classical architectures, which leverage quantum computational techniques such as variational quantum circuits and quantum kernel methods. Though still constrained by present-day hardware limits, these architectures can exploit correlations (e.g., entanglement) and optimization landscapes beyond classical computational reach. In principle, this widens the AI’s “search space” for possible representations, perhaps paving the way for novel insights or patterns unattainable by conventional means.

Moreover, innovations in reinforcement learning (RL) are moving from externally defined reward functions toward intrinsic motivation, where an AI agent devises its own learning goals seeking novelty or maximizing information gain. Such internally driven exploration redefines the training loop: the AI sets and pursues objectives that emerge from its learned models of the environment, leading it to construct new knowledge without waiting for human-provided labels or rewards.

Finally, large-scale generative AI (e.g., diffusion models, massive transformer-based architectures) demonstrates that models can accumulate vast reservoirs of pattern understanding, from linguistic nuances to abstract correlations across multiple domains. When we then endow these models with iterative learning capabilities allowing them to critique and refine their own outputs or engage in self-dialogue they begin to resemble rudimentary versions of a Teaching Machine, one that not only ingests data but also actively reshapes its own training objectives and explores previously uncharted realms of inquiry.

In essence, although genuine Artificial General Intelligence (AGI) is still a distant goal, these convergent technological trends hint at a transition from rigid, human-guided processes to a self-directed system that can expand its cognitive map over time. We might not yet see machines operating completely without our initial instructions, but the shift toward self-supervision, meta-learning, quantum-inspired computation, and intrinsic motivation underscores that we are indeed witnessing the dawn of a Teaching Machine an entity whose autonomy grows with each technological advance and whose potential, while still speculative, may fundamentally redefine our understanding of intelligence.

I think this link might have an answer to your question.

https://www.simplilearn.com/artificial-intelligence-vs-human-intelligence-article

Thank you Dhafar Fakhry Hasan for sharing this article which presents different aspects of our discussion in a simple and clear way

Here's two helpful, intuitive videos regarding this by famous neuroscientist David Eagleman

https://youtu.be/aGgXf00eSc4?si=7uP8D8rXruaG2T3B

https://youtu.be/nQRqxGQEAWU?si=9ZBiIQuDQYeXWPIW

Thank you Soumyajit Mondal for sharing these interesting videos closely related to our discussion

I do not think so.

No, because human is smarter than what he makes.

Ahmed Mohamed Elsaid Ahmed Shitaya

Thank you for your contribution. This leads us to the discussion about whether having access to the internet will remove the dependency of AI on human who provides it with data. I believe that, while AI can access data through the internet as well as through other sources, like sensors collecting physical data, the role of human is more than just providing AI with access to data. The more important role of human is linking this data together and representing it in a form that can be used by the machine to learn from. As for the internet, despite that human might be familiar with information available on it and capable of using it, this information is not necessarily adapted for usage by AI in its learning or improvement process.

Dear Mohamed el Nawawy,

Scepticism on this issue has always been and will always be justified. Man has always wanted to think that he is the most intelligent being on planet Earth. This has been, is and will continue to be the case as long as we consider only the different species of living beings. However, the rapid technological advances in Industry 4.0/5.0 technologies, including machine learning, deep learning, artificial neural networks, artificial intelligence, in addition to quantum computers, etc. will probably change our thinking on this topic in the future. However, whether a super-powerful general artificial intelligence will be created by humans in the future and whether it will achieve the ability to self-improve and develop, then perhaps gain its own consciousness, become a singularity and become fully independent from human control will probably become clear in the next few years. In my opinion, even if this interesting scenario materialises, a super-powerful general artificial intelligence should not recognise humans as its enemy, with whom it could begin to fight, as has been repeatedly depicted in science fiction films. The key issue is therefore to manage the development of artificial intelligence technology and its applications. I have pointed out these issues in my article below:

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

Article OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL I...

Please write what you think on this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?

What is your opinion on this issue?

Best wishes,

I would like to invite you to scientific cooperation,

Dariusz Prokopowicz

Dear Dariusz Prokopowicz ,

Your contribution to this discussion is highly appreciated

I agree with you about the ethical and legal concerns associated with the development of AI. Ethical concerns could also include biasing of data i.e. incomplete or non-representative data sets, and transparency i.e. allowing AI IT and business leaders to manage and maintain the end-to-end lifecycle of every AI Model starting from creating a model, testing, deploying, and monitoring it. Moreover legal concerns include ensuring data privacy e.g. through complying with GDPR regulations. Such concerns are addressed in the following article:

https://www.gartner.com/en/articles/what-it-takes-to-make-ai-safe-and-effective

Furthermore, although I’m skeptical about the idea of uncontrolled development of AI, however, I understand the associated risks mentioned in your article such as increasing the scale of disinformation and how to manage such risks.

Thank you for your kind invitation. I will send you an email soon to discuss opportunities of scientific cooperation.

Best Regards,

Mohamed El Nawawy

No.

Because they don't share common characteristics.

Don't you think that we are far away from the right issue?

Research Proposal How to increase our learning considering The impact of artif...

Yours

@Adda Boualem "AI will serve as a tool to support and develop ideas created by humans but will not be the creator of ideas or become a pioneer"

A bold thesis. The basic process of idea generation isn't particularly complicated and can easily be transferred to machines. What they lack is the hormone-driven stress/reward system of the human brain that triggers such processes. Should we already rule out the possibility that no one will succeed in implementing this on a machine? Probably not.

NOT AT ALL But there is still much to do

https://www.academia.edu/s/87a79e2f6b