The Historical and Proven Value of applied intelligence

To understand the real value of applied intelligence, we need to look back more than 2000 years, starting with Socrates, Plato, and Aristotle — some of the most influential ancient Greek philosophers who have profoundly shaped Western philosophy. Socrates taught Plato, who then taught Aristotle. However, each offered different philosophies to the world, and all three are fundamental to applied intelligence | ai.

The common denominator in the three philosophical approaches is understanding knowledge and how it shapes decisions. Socrates focused on knowledge through questioning (the Socratic method), Plato was an idealist, abstraction, developing the theory of Forms, while Aristotle was more empirical and scientific, employing mathematics and formal logic. All of these approaches have been integrated into the applied intelligence software (6ai) IP.

With this perspective, ai combines the distinct strengths of machines and humans. We leverage the impressive processing power of AI, which excels at recognizing and analyzing large datasets, identifying statistical patterns, and optimizing predefined goals. Meanwhile, humans are naturally skilled at navigating abstraction, novelty, and interpersonal challenges — genuine intelligence rooted in real-world experiences. Maximizing the synergy between the two is essential for adaptive decision-making in any field. Therefore, ai’s core value proposition is providing a framework that unites human decision-making with AI’s vast memory and processing capabilities, exemplifying optimal, authentic cognitive leadership in decisioning.

The primary underlying basis of ai is Aristotle’s approach, which also allows for Plato-like engagement, with the Socratic Method serving as the manager and guide of the inquiry conversation. Hence, ai is a framework for critical and independent thinking to transform information into knowledge, insight and rational strategic decisioning.

6ai is not about brilliance, but the activity of learning, not for perfection, but the art of getting there, confidently, which provides the most fulfilment.

As a basis for ai, is the understanding that the universe doesn’t recognize you — facts don’t have feelings — reality is independent of one’s beliefs — it doesn’t judge whether you’re good or bad; the universe operates mechanically: physics — gravity applies equally to everyone — fire burns all who get too close.

The universe is about energy; the energy you put out, you receive back in the form of your own making, so it’s always up to you to make things happen, for you. Being grounded in the reality relative to your energy determines your outputs, which is a first principle of ai.

Accordingly, everyone is influenced by the metaphysics of the universe: the fundamental nature of reality and existence, and ai aims to decipher idioms and nuances that convey meaning of the universe. Helping to translate concepts beyond the physical, identifying reality, cause and effect, time, and space. This knowledge allows one to navigate and formulate effective strategies to thrive within reality, because reality doesn’t ever change.

Like differential calculus, ai involves an integral approach to learning, measuring the probabilities and risks of outcomes is an essential ingredient for strategy development, which goes through a step-by-step process and integrates formal logic. Just like mathematics is the tool of science, applied intelligence (ai) is the tool of strategy.

This adherence to reality/nature/math: metaphysics, along with a disciplined 6-step process, avoids distraction and noise, focusing instead on structure and premise, signals and insights. The framework encompasses all the main tenets of fact-based decision-making.

Logic

The ai framework is a logic engine: differential calculus is applied to complicated problems, putting them into simpler pieces for analysis and then reconstructing to identify the right strategic problem to solve. Testing and relentlessly iterating ideas against the backdrop of reality avoids the overuse and overreliance on unreliable intuition.

Intelligence, therefore, is the sophistication of self-preservation. From the time of learning how to apply intelligence to survive on the plains of Africa, the cradle of civilization. So, intelligence ‘optimization’ is woven deeply into the fabric of nature, its formulated tools and systems that have helped the human condition survive and thrive in harsh environments.

Discovering the many hidden symmetries in the universe through knowledge acquisition builds authentic intelligence that, in turn, builds our strategies to survive and thrive.

The ai framework is a quantitative field, to think and visualize by a process of logic, where the laws of nature tell us that variables depend on other variables, impacting each other. This is how the real world behaves; so the structured and premise-based approach of ai informs our strategies.

The rules of Formal Logic and mathematics are intertwined and underpin the efficacy of ai: its usefulness is its deliberate pursuit of the simplification of complexity. Which is indispensable to the objective pursuit of strategy.

The exponential value functionality of ai breeds confidence in decision-making. The process itself is grounded in reality, structure and premise. Providing a reliable commonsense approach with checks and balances, which helps to expand our understanding of the universe and amplifies our intelligence, our thinking and analytical skills.

Newton’s greatest legacy was demonstrating that the world, nature, is logical. Nature is cause and effect, and the natural world behaves much like a proof in geometry, that one truth must follow the other, a process of logic.

The world is filled with contradictions and fallacies, and in this continuously expanding universe, to take on hard problems with practicality, applied intelligence serves as a tool for understanding and innovation.

The universe is nonlinear, complex, so predictability about the future is impossible. We use ai, like mathematical formulas and steps to take, to get to the objective truth. There are no guarantees of perfection, just trust in proven systems of logic to craft strategies with.

With the help of computers’ amazing computational capabilities, ai leverages that for significant data processing power, helping greatly to speed up the strategy development process. Still, it is necessary to understand that ai, like with science, doesn’t have a particular claim to truth. The ‘calculus’ process in both gets us close enough, but scientifically done, for us to have practical certainty in the factual basis of our decisions. That it is not opinion or faith, but the objective truth.

In the spirit of Albert Einstein, ai aligns with reality: reverence for the power of nature and the certainty of mathematics as a friend of innovation. And the beauty of the scientific approach, for example, Newton, in many circles, is considered the greatest scientist who ever lived. But Newton’s conceptions of space and time were overturned by Einstein. He redefined the relationship between matter and gravity, showing how it is wrapped in the fabric of the universe, in the curvature of space and time, and those curvatures tell matter how to move.

Therefore, the purpose and value of ai is that it democratizes information and technology ecosystems, allowing for anyone to challenge anything scientifically, become creative and innovative, and discover and pursue their vision with confidence. This is not about building a new grand theory but about the accessibility and simplicity for everyone to find their way in an unpredictable, nonlinear world. Not restricted to ivory towers and the wealthy elite.

Method

6ai was built on the premise that sound strategy should begin with a foundational proposition that is an abstract, factual claim or statement that can be either true or false, but not both.

Proof must always be demanded, which requires engaging in formal reasoning to craft a meaningful strategy; the right method must be applied for questioning and analysis of the proposition.

For far too long, business has relied on the intuition of its leaders to make critical business decisions, missing the opportunity to learn from factual analysis about their customers, understand market dynamics, and apply that knowledge to create products and solutions that work.

Undoubtedly, technology is a necessary component to run a successful business, now more than ever in the digital age, but the over hyped and misused use of AI has been a big distraction. The ridiculous amounts of money spent on producing things that nobody needs will not end well. And it’s just stupid to say that a particular technology can be applied to anything — Everything-AI. For ai, business is based on how well you understand your customer; technologies role is to support your ability to satisfy their needs.

While it is easy to be impressed by what modern science labs and technology innovators create, the economic power of innovation comes mainly from how effectively it can be applied and adopted, not merely from its creation.

New technology adoption must be purpose-driven, so ai’s purpose is to help organizations build transformational business by using data and systems to understand their domain optimally, backed by proven historical methods of wisdom. 6ai believes in playing offence, not merely participating in the future but designing it, and we provide the tools for you to do it yourself.

Innovation distinguishes between a leader and a follower, and leaders usually sit at the helm of the business and technology frontier. By turning information into knowledge and knowledge into insight, leaders can build winning strategies themselves.

By overlaying inquiry with structural analysis methodology, we can connect certain structures of an idea to reveal what we might not have been able to see. With ai-structured analysis, we can now see these qualities and relationships with other variables, which constitute facts, and facts that are expressed by propositions, meaning something stands in a certain relation to something else related.

The illustration above decomposes and assesses use case findings along core dimensions of value and ease of use functionality. Cluster use cases with similar underlying technology (capabilities/data) for optimization.

The ai method revolves around questions, skepticism, certainty, and how the mind relates to the world around it. Therefore, how we acquire knowledge and attain truth is related to Meditations on First Philosophy, by René Descartes, a French philosopher, scientist, and mathematician, who has been labelled the ‘father of modern philosophy’. Descartes established the use of systematic doubt to prove one’s existence as a foundation for certain knowledge.

He deployed four basic questions, the rules of method: proper direction of the mind in the pursuit of knowledge. The method acquired knowledge through a series of small, cautious steps, each step carefully reviewed until a sound chain of reasoning is complete. Similar to 6ai’s six steps.

These methods of doubt led him to conclude his most famous saying, “I think, therefore I am” (Latin: Cogito, ergo sum), establishing that the very act of doubting one’s own existence is proof of the existence — conscious intelligence. Proving that consciousness, awareness of self and the real world are intrinsic to intelligence. Machines, therefore, cannot ever be intelligent because they do not possess consciousness. There can be no doubt about that. For ai efficacy, human participation cannot ever be removed.

Thus, LLM or neural networks theory is the opposite of authentic intelligence. LLMs are heuristics. Thinking and processing shortcuts that allow for quick summarizations and judgments based on generalizations, limited by their training memory and plagued with perceptual misjudgments, illusions, and hallucinations that lead one astray.

Descartes had a great influence on modern philosophy, likely establishing the starting point of knowledge, and how method, process and steps are essential for intelligence.

Few who are knowledgeable about philosophy would dispute that Kant is one of the greatest philosophers of all time. He created new concepts, methods, and vocabularies in the exploration of metaphysics, epistemology and ethics, with validity and scope. Which are now firmly entrenched in the foundations of psychology, social and political theory and behavioural economics.

Like Descartes, Emmanuel Kant is also an influencer of ai. His seminal work, the Critique of Pure Reason, is about the nature of knowledge, what is real and that ‘knowledge is about something’, so it is important to be very clear with our inquiries. The Critique of Pure Reason is about what, how, and how much we may think we might know, and finding out what we don’t know is central to knowledge and intelligence.

Similar to Socrates, Kant also believed that true intelligence is acknowledging one’s own ignorance, and the only true wisdom is in knowing you know nothing. Intellectual humility is the foundation of ai because recognizing your limitations opens your mind up to lifelong learning, curiosity, and a deeper understanding of the world. Counting the destructive tendencies of hubris, instead, it promotes a mindset that seeks to learn, question and challenge — the path to true intelligence.

Further, ai concerns itself with the idea of causality, not just causality from the aspect as it might relate to inference, but more about deductive logic, the fact that the world exists independently of our beliefs and experience. Understanding how the mind works allows one to be grounded in reality and optimize the learning-to-strategy process.

With the insight engine reconciling rationalist and empiricist approaches (i.e., Plato vs. Aristotle), managing our sensory inputs, experiences and weighing them against the independence of reality.

So ai cautions our pursuit of intelligence by making us aware of all the moving parts of building authentic knowledge; all information and scenarios must be considered, not to be fooled by appearances, appearances are not facts. After all, the way the world may appear is a result of how we experience it.

We take in contributions a priori, and from philosophy, our biology, cognitive and neuroscience, artificial intelligence, and much more, to develop our understanding of consciousness and what it means to be human. Without conscious intelligence, there would be nothing at all for our minds: no world, no self, and no intelligence.

And without a reality-based framework to process the world, strategy development would be led by the seduction of intuition, just driving the subconscious pursuit of ignorance, which would further lead to constant errors in judgment, delusion and poor performance.

The Arab scholar, Ibn Haythan, more than a thousand years ago, wrote that perception, in the present, depends on processes of “judgment and inference” rather than having direct access to an objective reality. So, in the age of AI, ai understands that chaos in information, data, and sensory inputs can tell us nothing without being given structure and preexisting conceptions. Which, for Kant, would include a priori frameworks.

However, that’s still not enough, so ai provides a much broader and deeper technology-assisted framework that fills that gap.

Conclusions

The history of philosophy teaches us that knowledge is only possible when both sides of the human mind, the rational and empirical, guided by method, apply their intelligence to make strategic decisions with the sophistication of self-interest.

In the internationally best-selling book Thinking, Fast and Slow, Daniel Kahneman, a renowned psychologist and winner of the Nobel Prize in Economics, explains that the mind has two primary systems that drive the way we think. System 1 is fast, intuitive, and emotional. It operates with little or no effort, instant judgments and impressions based on patterns, associations, and mental shortcuts: heuristics, responsible for systematic errors and cognitive biases. Hallucinates like ChatGPT, which results in overconfidence from quick and intuitive thinking, without proper framing of the risk, often affects organizational strategies negatively.

System 2 is slower, effortful, structured, more deliberative, and applies formal logic, particularly to complex calculations, analytical tasks, and conscious reasoning. System 2 relates to 6ai.

Kahneman says that the best way to build effective strategies is to engage in structured, formal logic with a conversational approach.

When you ignore philosophy/metaphysics and try to replace it with machines, we degrade our intelligence and our ability to advance through our own ingenuity and innovation to make our world. Wisdom is the next step after optimizing our intelligence; the wisdom of Aristotle, Socrates, Descartes, Kant, and more is proven, standing the test of time and scrutiny.

The idiocy of OpenAI and ChatGPT has not faced anything minutely close. Convoluted, informal logic and reasoning without mathematical rules, propelled by hype. This is what OpenAI is.

The irrational exuberance surrounding LLM-Generative AI is stupefying, consumption for the willfully ignorant and intellectually lazy, based on a premise that’s not true: if you just build larger and larger language models, you’ll scale to Superintelligence. Unequivocal nonsense.

Many reports, including those from MIT and Apple Research, essentially say that LLMs don’t work. It requires supervision, often getting things wrong and “hallucinating”, an incurable feature of LLMs. MIT: found that 95% of AI pilots fail to increase a company’s profit or productivity and have not been able to replace workers.

Nobel Laureate Daron Acemoglu, drawing from his research, The Simple Macroeconomics of AI, adds, “AI might automate only 5% of tasks and add just 1% to global GDP over the next decade.” While many are lured by promises that AI will rapidly transform everything, the macroeconomic facts tell a different story, he explains.

Since the fall of 2022, over 75% of the S&P 500’s growth has come from just a handful of companies, which have been a corrupt circular investment scheme for the appearance of “AI success” while, in reality, have not impacted the broader economy. Remember, reality is always independent of what one might believe to be ‘true’.

The propaganda-fueled framing that AI will revolutionize the world has not happened, but the wilfully ignorant beliefs in it are still very much alive, and outside of reality.

An entire US economy is riding on seven tech/AI-related stocks, the “Magnificent Seven” stocks (Apple (AAPL), Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), Nvidia (NVDA), Meta Platforms (META), and Tesla (TSLA).

Further, Deutsche Bank found that if you exclude AI expenditure from the US’s GDP, its growth has actually dropped off rapidly to near zero. What actually exists is widespread hype-driven speculation of AI technology forged in the US economy, geared for the massive wealth creation for the 1%. An AI aristocracy being the arbiters of our lives, inventing new religion and professing that only they know what’s good for us.

Why 6ai Technologies

6ai is a human-centric software that does not seek to make AI competitive, surpass, or replace human intelligence. Instead, it takes an augmenting approach, powered by the six-step applied intelligence process-IP, which utilizes generative AI as an amplifying tool that is used practically, purposefully, and responsibly to enhance human intelligence capacity, capabilities, and ingenuity.

6ai integrates its empathetic IP, the Socratic Conversational Method (ESCM), underscoring core architecture, built to scale!