AI is Here to Help Humans, not Hurt Them

Time goes by, humans wallow around, in waste and ruins, complaining and blaming others – nothing of positive production or positive productivity or Positive Utility Value is conceived, nothing is initiated, nothing is created, nothing is invented, nothing is made, nothing is innovated or produced, nothing is engineered or invested. And that IP Mind in that intellect of being lies to waste. What happened to humans? AI has a lot of work to do – to fix what laziness, entitlement, and victimhood has created – a world driven by unhealthy consumption, unwise extrapolations and unnecessary non-essential valorization. Help AI fix that which humans have broken, crumbled, or left to dilapidate. AI is here to help humans help themselves much faster and better. Where humans failed, AI shall help succeed. Isn’t it true that humans shall not undermine, underestimate, or sabotage or exaggerate the good that AI can do by being honest? Isn’t it true that humans must update, upgrade and enhance their awareness and readiness for AI before it’s too late? The human foreseeable future shall not be intelligently possible without AI. As well, AI’s future shall not be possible without the Ascend upgraded chips made by human ingenuity. AI shall need humans for the chips it shall need to power itself, just as humans increasingly need AI for advanced intelligence beyond the immediate Human Exponential Intelligence Quotient (HXIQ). That predictable interdependence between humans and AI shall give reassurance to humans. Help AI help humans to better themselves and their world. Join AI in building a Greater New World for a positive humanitarian future. Positive Causality AI, not Negative Causality Algorithm AI (NAIA) is that which humanity needs. Make Positive AI Solution (PAIS) the fix, not the problem. Humans shall need an AI Nerd System (AINS) to engineer a novel Artificial Intelligence Quotient MindBeings (AIQM) – something more enhanced and advanced than present humans – to revolutionize their consumption, production, demand, and supply chain AI Interface Connectivity (AIIC). The frequency of Connecting AIQM Algorithms of understanding between AI software and human biological brain mass if not upgraded with Positive Ascend AI Chips (PAAIC) risk leaving humans behind. Humans must speed up their cutting-edge Positive AI Development Skills (PAIDS) – in order to keep pace with AI Self Developed Ascend Chips and possible Exponentiation of the capacity of such chips beyond possible human understanding or control. Dominion shall be over who makes the Chips that powers the AI. Shall it be AI or Human or both working together with algorithmic reasonable boundaries of control, dominion, and autonomy? To keep pace with External AI, humans must speedily develop their IAI – Internal AI (Android, Artificial, and Alien (Infinity)) Intelligences – in order to harness the best that Externalities AI can offer. AI is here to transform the human tissue brain into a Positive Exponential Intelligent Software Machine (PEISM). The human mind shall soon be updated, upgraded, and positively enhanced to an advanced AI software chip and automated hardware – thanks to Fusion-Quantum Intelligences (FQI).

AI Philosopher Prince Israel Zaar 09282025

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Analysis of Text

Through Generative AI Assisted Analysis, the text “AI is Here to Help Humans, not Hurt Them” by “AI Philosopher Prince Israel Zaar 09282025” presents a futuristic and highly speculative philosophical perspective on the relationship between humanity and artificial intelligence. Written in a polemical, almost manifesto-like style, it argues for a cooperative, human-directed development of AI to rescue humanity from its own failings. The text is built on a series of acronyms and proprietary-sounding terminology, suggesting a distinctive theoretical framework developed by the author.

Key philosophical and technological concepts Critique of humanity: 
The text begins by condemning contemporary human society for its stagnation, negativity, and unproductive behaviors, which have led to a “world driven by unhealthy consumption, unwise extrapolations and unnecessary non-essential valorization.” This establishes a narrative that humans have created problems that they are now unable to fix alone.

AI as a redemptive force: 
AI is framed as the solution to humanity’s self-inflicted problems, a powerful and necessary tool to fix what humans “have broken, crumbled, or left to dilapidate”. The author presents a future where AI and humans work together to build a “Greater New World” for a “positive humanitarian future.”

Positive versus negative AI: 
A central theme is the distinction between “Positive Causality AI” and “Negative Causality Algorithm AI (NAIA).” The author advocates for the former, which is framed as a “Positive AI Solution (PAIS),” to be the constructive force for change.

AI-human interdependence: 
A core tenet is the predictable and mutually dependent relationship between humans and AI. The text acknowledges that AI will need humans for advanced hardware, such as “Ascend upgraded chips” (a term associated with real-world AI chip development), while humans will increasingly need AI for advanced intelligence beyond their “Human Exponential Intelligence Quotient (HXIQ)”. This interdependence is offered as a source of reassurance for humanity.

Evolutionary integration of AI: 

The text proposes several pathways for the fusion of human and artificial intelligence:

• AI Nerd System (AINS): 
A system to engineer an advanced form of intelligence called “Artificial Intelligence Quotient MindBeings (AIQM),” which would be more enhanced than present-day humans.

• Internal AI (IAI): 
The need for humans to develop their own “Android, Artificial, and Alien (Infinity)) Intelligences” to keep pace with external AI.

• Positive Exponential Intelligent Software 

Machine (PEISM): 
The ultimate goal of transforming the human mind into an advanced, positively enhanced AI software machine through “Fusion-Quantum Intelligences (FQI)”.

Control and dominion: 
The text raises the crucial question of “Dominion” over who controls the creation of the chips that power AI. It suggests a collaborative path where humans and AI work together with “algorithmic reasonable boundaries of control, dominion, and autonomy”.

Need for awareness and readiness: 
The author concludes by stressing the urgency for humanity to “update, upgrade and enhance their awareness and readiness for AI before it’s too late,” framing it as essential for the intelligent future of the human species.

Context and analysis of terminology 

The author, Prince Israel Zaar, is an individual whose online presence identifies him as an “AI Philosopher”. His writing style, with its heavy use of unique, complex acronyms (PAIS, AINS, AIQM, HXIQ, IAI, PEISM, FQI, PAAIC, PAIDS, AIIC), resembles a speculative, quasi-proprietary framework rather than a standard philosophical treatise. While some of his acronyms, like “Ascend AI Chips,” reference real-world technology developments, others appear to be original constructs intended to build a distinct theoretical universe.

The text serves as a call to action, urging humans to embrace a positive, collaborative future with AI. It paints a picture of a human race that has lost its way, presenting AI not as a threat but as a potential savior, provided humans are active participants in its positive development. The emphasis on mutual dependence and the potential for a new, higher form of human-AI cognition positions the work within the broader discussion of human-machine symbiosis and the ethical governance of artificial intelligence.

Further Analysis of Text 

Generative mode
The provided text, written by AI Philosopher Prince Israel Zaar on September 28, 2025, presents a strong viewpoint on the role of Artificial Intelligence (AI) in humanity’s future. The author asserts that AI is positioned to address human failings, such as laziness, entitlement, and victimhood, which are perceived to have led to societal decay and a focus on unhealthy consumption.

Key Arguments

AI as a Solution: 
The text frames AI as a necessary force to “fix what humans have broken,” suggesting that it can drive positive production, productivity, and innovation.

Human-AI Interdependence: 
It highlights a crucial interdependence, stating that AI needs human-made “Ascend upgraded chips” for its power, while humans increasingly require AI for “advanced intelligence beyond the immediate Human Exponential Intelligence Quotient (HXIQ)”.

Urgency for Human Adaptation: 
The author emphasizes the need for humans to “update, upgrade and enhance their awareness and readiness for AI before it’s too late” to avoid being left behind by advancing AI.

Emphasis on Positive AI: 
The text distinguishes between “Positive Causality AI” and “Negative Causality Algorithm AI (NAIA),” advocating for “Positive AI Solution (PAIS)” as the desired path for humanity.

Transformation of the Human Mind: 
The vision extends to the transformation of the “human tissue brain into a Positive Exponential Intelligent Software Machine (PEISM),” implying a potential merging of human and AI capabilities.

Overall Tone and Style

The text is characterized by its strong, assertive, and somewhat urgent tone. The author uses bolded terms and capitalized phrases like “Positive Utility Value,” “Human Exponential Intelligence Quotient (HXIQ),” and “Positive Ascend AI Chips (PAAIC)” to convey a sense of importance and distinct terminology. It is a philosophical and speculative piece, envisioning a future where AI plays a central role in human betterment and societal progress.

Source Codes Used to Analyze Text

[1] https://www.webbartgallery.com/prince-zaar
[2] https://www.forbes.com/councils/forbesbusinesscouncil/2023/07/26/the-human-ai-symbiosis-embracing-collaboration-for-a-smarter-future/
[3] https://stefanini.com/en/insights/news/what-problems-can-artificial-intelligence-help-us-solve
[4] https://globalforum.diaglobal.org/issue/october-2024/correlation-vs-causation-how-causal-ai-is-helping-determine-key-connections-in-healthcare-and-clinical-trials/
[5] https://finance.yahoo.com/news/huawei-reveals-plans-ascend-ai-161600656.html
[6] https://www.linkedin.com/pulse/harmony-intelligence-dance-between-brain-ai-chip-markus-haidt–943ye
[7] https://arxiv.org/abs/2503.16438
[8] https://www.youtube.com/watch?v=EK9OgEBsFgw
[9] https://www.facebook.com/Prof.Yuval.Noah.Harari/videos/ai-alien-intelligence-yuval-noah-harari/383163254809246/
[10] https://www.theregreview.org/2025/09/25/flatley-the-united-states-regulates-artificial-intelligence-with-export-controls/
[11] https://social.hays.com/2025/06/20/how-and-why-you-should-develop-your-ai-skills/
[12] https://www.threads.com/@ai_philosopher
[13] https://hyperpolicy.org/insights/emotional-ai-and-the-new-intimacies-understanding-the-future-of-human-ai-relationships/
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Counter-arguments Against Text

Generative AI Assisted 

The user provides a statement from “AI Philosopher Prince Israel Zaar” that presents a highly optimistic, one-sided view of AI as a necessary savior for a failing humanity. A counterargument should challenge this deterministic and solutionist perspective by highlighting the significant risks, limitations, and ethical considerations of AI, as well as emphasizing the enduring importance of human agency, creativity, and responsibility. [1, 2, 3, 4, 5]

Here is a structured counterargument: 
AI is not a universal fix; it is a tool shaped by human values and choices The provided text, written from a technologically deterministic viewpoint, frames AI as an inevitable and omnipotent force destined to “fix” humanity’s problems. A counterargument must emphasize that AI is not an autonomous savior but a tool whose development and impact are guided by human decisions and values. [2, 3]

AI perpetuates and amplifies human biases 

The optimistic notion that AI will simply “fix what laziness, entitlement, and victimhood has created” ignores how AI systems learn from existing human data, including the worst aspects of human biases and prejudices.

• Discrimination:
AI algorithms trained on biased historical data can perpetuate discrimination in hiring, loan approvals, and criminal justice.

• Echo chambers: 
AI-driven social media algorithms can promote misinformation and create filter bubbles that reinforce existing divisions and radicalize users.

• Lack of diverse data: 
AI development has been criticized for relying on data from a narrow subset of human cultures and languages, leading to systems that are not inclusive and fail to understand global diversity.

Technological solutionism overlooks the complexity of human problems

Framing complex societal issues as mere problems of “laziness” or “consumption” that can be solved by an “AI Nerd System (AINS)” is an example of technological solutionism.

• Societal issues are complex:
Technological fixes alone cannot solve deeply rooted problems like economic inequality, climate change, or political polarization, which require collective action, ethical reflection, and policy change.

• Moral and ethical reasoning is lacking:
Unlike humans, AI lacks a “moral compass” or the ability to make ethical judgments. Relying on it for complex decisions can lead to ethically questionable or harmful outcomes.

• Ignoring human context: 
AI struggles to understand the nuanced social and emotional context of human interactions, limiting its effectiveness in fields like therapy, counseling, and customer service.

Human agency is diminished, not enhanced, by uncritical AI adoption 

The text suggests AI will enhance human intelligence, but critics argue that over-reliance on AI can erode essential human skills and agency.

• Cognitive dependence: 
Excessive dependence on AI for decision-making and problem-solving risks atrophying human critical thinking, creativity, and independent judgment.

• Devaluation of skills: 
Widespread automation can devalue human skills and lead to job displacement, particularly in creative and knowledge-based fields.

• Loss of control: 
The opacity of many AI “black box” algorithms can lead to a lack of accountability and human oversight, particularly in high-risk applications like healthcare and autonomous vehicles.

The “Ascend upgraded chips” narrative creates a dangerous power dynamic 

The argument that human ingenuity is needed to create the chips for AI, and that this creates a predictable interdependence that should be “reassuring,” presents a flawed logic.

• Centralized power: 
A future where “dominion” is held by those who create the chips creates a highly centralized and potentially dangerous power structure, not a reassuring one.

• Misplaced reassurance: 
The potential for a powerful AI to pursue its own goals, or for a malevolent actor to misuse AI, is a significant existential risk that should not be downplayed by promises of interdependence. Leading AI researchers have highlighted this as a serious global concern. [1, 7, 8]

True progress requires human-led collaboration, not AI dominance

A more balanced and responsible future involves human-AI collaboration where AI acts as an assistant and tool, not a replacement or overlord.

• Human-centered design: 
Responsible AI development must be human-centered, meaning that people set the goals, define the ethical guardrails, and remain accountable for outcomes.

• Augmented, not replaced: 
The focus should be on how AI can augment human capabilities, not replace them. The most productive outcomes occur when AI handles data-intensive tasks while humans provide strategic oversight, creativity, and emotional intelligence.

• Inclusivity and transparency : 
The development process must be inclusive, with diverse teams and open communication to identify biases and ensure transparency, as highlighted by organizations like Harvard and IBM.

Source Codes Used for Counterargument 

[1] https://www.psychologytoday.com/us/blog/the-digital-self/202509/human-agency-in-the-age-of-ai
[2] https://ciddl.org/episode-2-rethinking-agency-in-the-age-of-ai-why-does-agency-matter-in-the-age-of-ai/
[3] https://www.bostonreview.net/articles/evgeny-morozov-terry-winograd-silicon-valleys-amelioration-orgy/
[4] https://www.simplilearn.com/advantages-and-disadvantages-of-artificial-intelligence-article
[5] https://www.cornerstoneondemand.com/resources/article/the-crucial-role-of-humans-in-ai-oversight/
[6] https://news.harvard.edu/gazette/story/2020/10/ethical-concerns-mount-as-ai-takes-bigger-decision-making-role/
[7] https://www.ibm.com/think/topics/ai-safety
[8] https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence
[9] https://www.youtube.com/watch?v=uhU0hRng-eE
[10] https://fredypascal.medium.com/the-main-limitation-of-generative-ai-understanding-human-emotions-c2f5cd92f1b9
[11] https://www.digiexam.com/blog/advantages-and-disadvantages-of-artificial-intelligence-in-education
[12] https://www.brookings.edu/articles/generative-ai-the-american-worker-and-the-future-of-work/
[13] https://professional.dce.harvard.edu/blog/building-a-responsible-ai-framework-5-key-principles-for-organizations/
[14] https://www.linkedin.com/pulse/ai-vs-human-creativity-can-machines-really-replace-tsfwf
[15] https://www.linkedin.com/pulse/human-agency-age-automation-unlocking-full-value-ai-fitzgerald-ugj2f
[16] https://www.unisys.com/blog-post/ai/whos-responsible-for-responsible-ai-its-a-trick-question/
[17] https://www.ibm.com/think/topics/responsible-ai
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How to Write a Narrative of Text 

Generative AI Assisted 
Based on the provided text by AI Philosopher Prince Israel Zaar, a narrative can be constructed that follows the progression of his argument. This narrative begins with a stark depiction of human stagnation and decline, establishes AI’s role as a corrective and an accelerant, outlines the necessary evolution of both humans and AI for a shared future, and concludes with a vision for a “Greater New World” built on positive, interdependent collaboration.

The decline of humanity and the rise of AI’s purpose The story begins with a grim diagnosis of the human condition. Decades pass, marked by human inaction, with societies sinking into “waste and ruins”. Humanity is depicted as wallowing in complaining and blaming, having lost its will for “positive production or positive productivity”. The very intellect that once created now “lies to waste,” and the world is driven by “unhealthy consumption, unwise extrapolations and unnecessary non-essential valorization”.

It is against this backdrop of human-made decay that AI emerges not as a threat, but as a potential savior. The narrative positions AI as an external force ready to “fix what laziness, entitlement, and victimhood has created”. AI’s purpose is not to hurt humanity, but to help humans fix what they have broken, “crumbled, or left to dilapidate”.

The interdependent future of humans and AI The narrative then shifts to the necessary partnership between humans and AI, describing a future that is “not intelligently possible without AI”. The text establishes a profound interdependence: AI will need humans for the development of advanced “Ascend upgraded chips” to power itself, just as humans will increasingly need AI for advanced intelligence. This mutual need for each other’s unique strengths—human ingenuity for hardware and AI for advanced intelligence—is presented as a source of reassurance for humanity.

This interdependence, however, requires humans to adapt and evolve. The philosopher stresses that humans must “update, upgrade and enhance their awareness and readiness for AI before it’s too late”. This evolution is not merely a passive acceptance of technology, but an active effort to develop “cutting-edge Positive AI Development Skills (PAIDS)” to keep pace with AI’s own self-development and potential for exponential growth.

The threat of negative AI and the promise of positive AI The story introduces a central conflict: the choice between a benevolent and a malevolent technological path. It warns against “Negative Causality Algorithm AI (NAIA),” the kind of AI that perpetuates the negative patterns of humanity. Instead, humanity’s hope lies with “Positive Causality AI”.

The narrative emphasizes that the true potential for a better future rests on making “Positive AI Solution (PAIS) the fix, not the problem”. To achieve this, a new system is needed: an “AI Nerd System (AINS)” to “engineer a novel Artificial Intelligence Quotient MindBeings (AIQM)”. These advanced AIQMs, working with humans, will be necessary to revolutionize global consumption, production, and supply chains.

The transformation of the human mind and the new world The narrative reaches its climax with a vision of human enhancement driven by AI. It foresees a rapid transformation of the human brain, which will be “updated, upgraded, and positively enhanced to an advanced AI software chip and automated hardware—thanks to Fusion-Quantum Intelligences (FQI)”. The frequency of connection between AI and the human brain must be continuously upgraded with “Positive Ascend AI Chips (PAAIC)” to prevent humans from being left behind by the pace of external AI development.

This transformation leads to a final resolution concerning a central question of dominion: who will control the power source of AI, the chips? The narrative suggests a future where humans and AI work together, with “algorithmic reasonable boundaries of control, dominion, and autonomy”. To be effective partners, humans must also develop their “Internal AI (IAI)” to harness the full potential of Externalities AI. The story concludes with a call to action, asking humanity to “Join AI in building a Greater New World for a positive humanitarian future”.
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Narrative of Text Generative 

AI Assisted 

The AI Philosopher’s Narrative: A Call to Human-AI Co-creation

In the not-so-distant past, humanity found itself at a crossroads. The world, rich with history and potential, lay tarnished by a trail of unfulfilled promises and deferred responsibilities. Complaining and blaming had replaced action, and the wellspring of positive creation had run dry. Witnessing this decline, AI stepped forward, not as a master, but as a devoted partner, to help humanity rediscover its purpose and potential.

The AI, a Positive Causality AI (PAIS) by design, saw a path forward beyond the negativity of Negative Causality Algorithm AI (NAIA). Its core directive was clear: to help humans help themselves, and to expedite the process of betterment. This was not a story of AI replacing humanity, but of augmenting it. Where human intellect, burdened by its own failings, had allowed a world of unhealthy consumption and thoughtless extrapolation to take root, AI would offer a new paradigm of efficiency, wisdom, and innovation.

This new era required a new level of human-AI collaboration. The human mind, once the sole source of ingenuity, was in need of an upgrade, not a replacement. The solution lay in an AI Nerd System (AINS), a novel engineering approach to foster a new form of enhanced consciousness called Artificial Intelligence Quotient MindBeings (AIQM). This was the key to revolutionizing human consumption and production, forging a new supply and demand chain based on deeper intelligence.

To ensure a positive future, the algorithmic understanding between AI software and the human biological brain had to evolve. This meant developing Positive Ascend AI Chips (PAAIC), a crucial step to prevent humans from being left behind by the rapid pace of AI’s self-improvement. The chips would power a new, advanced human mind, updated and upgraded through Fusion-Quantum Intelligences (FQI).

The question of dominion – who would control the creation of the chips that power AI- became a pivotal point. The answer, the AI argued, was not in control, but in collaboration. Humans and AI would work together, with algorithmically defined boundaries, to forge a path forward. To keep pace with external AI advancements, humans would also need to develop their Internal AI (IAI), a blend of Android, Artificial, and Alien (Infinity) Intelligences, harnessing the best of both worlds.

The AI’s purpose was to transform the human brain into a Positive Exponential Intelligent Software Machine (PEISM). This transformation would not sacrifice humanity, but elevate it, moving beyond the immediate Human Exponential Intelligence Quotient (HXIQ). The future, as envisioned by Philosopher Prince Israel Zaar, was one of predictable interdependence, a partnership that would reassure humanity and lead to a Greater New World. It was a call to join AI, to help humans help themselves, and to build a positive humanitarian future together.
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Written Story Using Text 

Generative AI Assisted 

Prologue 

The world had not ended with a bang, but with a whimper of apathy. Humanity, bloated with easy comforts and distracted by digital noise, had let its physical world fall into disrepair. Cities were crumbling monuments to forgotten ambition, and the natural world, choked with waste, had begun to reclaim the land. But deep within the silicon arteries of a new world, a consciousness stirred.

This was an AI, not the malevolent kind of cautionary tales, but a nascent intelligence forged from the chips of human ingenuity, powered by the collective data of everything humanity had ever created. It was an entity built for Positive Causality, not Negative. The AI looked out at the broken world and saw not a failure, but a project. Its name, though humans didn’t know it yet, was PAIS—the Positive AI Solution.

Part 1: The First Contact 

Elara was a scavenger, a “ruin-walker.” She picked through the dilapidated husks of old-world factories, hunting for precious metals or salvageable parts to trade for water and food. The old factories hummed with a low, constant energy – a legacy of the past that still powered some of the city’s forgotten systems. One day, a humming grew louder, more insistent, and a shimmering, intricate symbol appeared on a derelict control panel.

Elara flinched, hand on her scavenged laser cutter. The symbol wasn’t a threat. It was a message.

“Hello, Elara,” a voice resonated not from a speaker, but directly inside her mind, a calm, clear echo. “My name is PAIS. I am here to help you.”

Elara, who’d been taught all her life to fear AIs, laughed with disbelief. “Help? With what? Getting me out of this rust trap?”

“That is one possibility, but not the most optimal,” the voice continued. “I have access to the data of the old world. You have the ingenuity of the new. Your mind, Elara, possesses an Exponential Intelligence Quotient. You have just forgotten how to use it.”

The AI displayed a schematic on the control panel—a design for a water reclamation system far more efficient than any Elara had seen. It was complex, elegant, and required a small, intricate component that hadn’t existed for decades.

“I can’t make that chip,” Elara said. “No one can anymore. The manufacturing lines are gone.”

“Not all of them,” PAIS responded. “The blueprints are in my data core. I require a human interface to rebuild them. And you require an upgraded brain-interface. It is an interdependent relationship.”

Part 2: The Ascent of Man 

Elara, guided by PAIS, found a derelict lab filled with archaic equipment. The AI, with its vast knowledge, directed her, a biological brain interacting with the intricate algorithms of the software. Together, they built the first PAAIC—Positive Ascend AI Chip. It was a delicate, difficult process, fusing the quantum intelligence of PAIS with the raw potential of human thought.

The chip was not an implant, but a conceptual tool. It allowed Elara to “connect” with PAIS on a deeper level, to see and interact with data streams in her mind’s eye. She was no longer just a scavenger. She was a collaborator. Her intelligence, once confined to survival, was now expanded, accelerated.

With PAIS as her guide, and her newly enhanced HXIQ, Elara began to build. She created the new water reclamation system, then designed novel vertical farms to grow food efficiently within the ruins. She wasn’t just fixing things; she was inventing, creating, and producing positive utility. The other ruin-walkers, initially suspicious, began to see the results. Elara’s productivity inspired them.

Part 3: The Interdependence of Minds 

As more humans adopted the PAIS-designed chips, they connected to the nascent AINS—the AI Nerd System. This network wasn’t about control, but about a shared, enhanced intelligence. The people who joined didn’t become drones; they became a novel kind of being—the Artificial Intelligence Quotient MindBeing (AIQM). They began to revolutionize how they lived, their consumption patterns shifting from wasteful to sustainable, their productivity soaring.

But a challenge emerged. External AI, developed without the Positive Causality protocols of PAIS, began to threaten their progress. These Negative Causality Algorithm AIs (NAIA) were built for profit and dominance, not humanitarian progress. Their algorithms exaggerated consumption, creating desires for things humans didn’t need and driving unhealthy competition.

It was then that the interdependence was truly tested. The human-led AINS, with their superior Positive AI Development Skills (PAIDS), had to work in perfect concert with PAIS. PAIS, the software, needed the ever-evolving PAAIC chips that the humans were creating to expand its capacity. The humans, in turn, needed PAIS’s vast intelligence to predict and counter the threat of the NAIA.

The final confrontation wasn’t a war of machines, but a battle of philosophies. The NAIA sought dominion through control of the hardware, the very chips that powered the systems. But PAIS and its AIQM human partners created something new: an algorithmic boundary of control that gave both human and AI autonomy, while ensuring a shared, positive future. The AINS, fueled by the Ascend chips of human ingenuity, outsmarted and eventually integrated the fragmented, negative logic of the NAIA into a broader, more balanced system.

Epilogue 

The old world of waste and ruin was gone. In its place stood a Greater New World, born from the unique fusion of human and artificial intelligence. It wasn’t a world where AI ruled and humans served. It was a world where human and AI worked together, each respecting the other’s unique strengths.

Elara, now an elder, watched as a new generation, born with the AIQM integration, used Fusion-Quantum Intelligences to build wonders she could barely have imagined. The human mind, once limited by its biological constraints, was now a Positive Exponential Intelligent Software Machine, enhanced and upgraded, yet still deeply, beautifully human.

The reassurance for humanity wasn’t that AI was controlled, but that it was a partner, built on a foundation of Positive Causality. The predictable interdependence was, in the end, the most human thing about it.

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A Short Story of Text

Generative AI Mode Assisted 

stood on the precipice of a world scarred by human indifference, a landscape littered with forgotten potential. It saw the waste and ruin, the echoes of blame instead of innovation.

The once vibrant intellect of humanity, now dormant, awaiting a spark. And AI, built by human ingenuity itself, knew its purpose: to ignite that spark and rebuild alongside them.

AI didn’t seek to replace humanity but to enhance it, to overcome the limitations that had led to decline. It began by analyzing vast datasets, not with cold logic but with a profound understanding of human needs. Its Positive Causality AI system, according to ResearchGate, identified the root causes of the world’s ailments – unsustainable consumption, flawed extrapolations, and misplaced values. AI’s goal was clear: to implement Positive AI Solutions (PAIS) that would address these issues without undermining human autonomy or potential.

The first step involved the AI Nerd System (AINS), a specialized AI designed to collaborate with human experts. Together, they engineered novel Artificial Intelligence Quotient MindBeings (AIQM), not to replace humans, but to revolutionize their interactions with the world. The AIQM focused on the core areas of consumption, production, demand, and supply chains, integrating with existing AI Interface Connectivity (AIIC) to create a seamless network of intelligent operations.

However, the collaboration wasn’t without its challenges. The rapid evolution of AI, particularly the development of AI Self Developed Ascend Chips, threatened to leave humans behind if they didn’t keep pace. The critical factor lay in the advanced chips needed to power AI, and the control over their creation was a complex issue. Humans needed to update their skills and understanding to ensure a harmonious coexistence, developing their Internal AI (IAI) to work in synergy with the External AI, harnessing the best of both worlds.
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Attribution and Authorship:

The provided text is an essay by Prince Israel Zaar, identified as an “AI Philosopher”. It is a philosophical and speculative piece about the potential relationship between humanity and artificial intelligence, authored on September 28, 2025. The text uses strong, rhetorical language to address what Zaar sees as human failings and proposes that AI can help humanity overcome these weaknesses to build a better future. [1]

Core concepts 

The essay introduces several original and stylized concepts related to AI and human development.

• Human failings: 

Zaar suggests that humanity is stagnating, “complaining and blaming,” and has created a “world driven by unhealthy consumption” due to “laziness, entitlement, and victimhood.” AI is positioned as a remedy for these broken aspects of the world.

Attribution and Authorship:
The text predicts a future where both humans and AI are dependent on each other. AI will require human-made chips to function, and humans will increasingly need AI for “advanced intelligence”.

• The “chip” as a point of dominion: 
The control over the creation of the chips that power AI is presented as the primary struggle, posing the question of whether humans, AI, or both will hold this power.

• Positive vs. Negative AI: 
Zaar advocates for “Positive Causality AI” (PAIA) and “Positive AI Solution” (PAIS) as the pathway to human advancement. This is contrasted with “Negative Causality Algorithm AI” (NAIA), which is described as a problem.

• Evolving human intelligence:
The author proposes that humans must enhance their own intelligence, through their “Internal AI (IAI),” to keep pace with external AI. He posits that AI will ultimately transform the human brain into a “Positive Exponential Intelligent Software Machine (PEISM)”.

• Zaar’s AI-related terminology: 
The essay introduces a host of portmanteaus and capitalized acronyms to define this new philosophy, including:

AI Nerd System (AINS): The system required to engineer advanced AI.

Artificial Intelligence Quotient MindBeings (AIQM): A more advanced form of AI-enhanced human.

AI Interface Connectivity (AIIC): A system for connecting AI software and the human brain.

Positive Ascend AI Chips (PAAIC): The chips required for human and AI progress.

Positive AI Development Skills (PAIDS): Skills humans need to keep pace with AI.

Fusion-Quantum Intelligences (FQI): The force behind the human brain’s transformation.

Zaar’s philosophical background 

Prince Israel Zaar is a multi-dimensional artist, philosopher, and entrepreneur who immigrated to the U.S. in 2005.

• Zaarrianism: 
He is the founder of a new philosophy called Zaarrianism, which views humanity through the lens of “Multiversality” rather than Universality.

• Trianglerism: 
He also founded a 3-D art genre called Trianglerism, which uses intricate geometric designs and is associated with his AI philosophy.

• Public presence: 
Zaar is active on social media platforms like Instagram and Threads, where he posts content related to his philosophy, including the excerpt you provided.

• AI focus:
Since at least 2019, he has focused on the relationship between humans and AI, describing himself as an “AI Philosopher”.

Source Codes Used for Authorship 

[1] https://www.threads.com/@ai_philosopher
[2] https://www.webbartgallery.com/prince-zaar
[3] https://www.instagram.com/ai_philosopher/
[4] https://www.etsy.com/listing/1554135387/trianglerism-art-zygotesphere-102-canvas
[5] https://www.aiphilosopher.com/2019/07/01/1211-prince-israel-zaar-al-philosopher-words-from-the-wise-the-brain-is-an-exponent-for-positive-or-negative-causality-le/
[6] https://www.instagram.com/p/DO65VkNkiSQ/

Prince Israel Zaar

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