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Dr. Robert J. Flower PHD
Unlocking Human Potential for Success: Individuals, Businesses & Counseling Professionals.
Dr. Robert J. Flower PHD is a prominent figure in the field of human potential and achievement. He is the Executive Director and founder of the Gilchrist Institute for the Achievement Sciences, a position he has held since 2000.1
Dr. Flower is recognized as one of the world's leading authorities on the science of potential and achievement.1 His career spans over four decades, during which he has worn multiple hats as an entrepreneur, consultant, Mensa Scholar, author, and educator.1
Some key points about Dr. Robert J. Flower:
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Entrepreneurial success: Starting with just $321, he built his business to achieve a net worth of over eight figures.1
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Academic contributions: He is credited with discovering Natural Intelligence (N2L), described as a new paradigm for understanding and maximizing potential.1
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Authorship: Dr. Flower has authored three books on achievement and Natural Intelligence.13
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Consulting work: Through the Gilchrist Institute, he provides consulting services that apply scientific principles to problem-solving, prediction modeling, and the development of advanced thinking skills.1
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Research focus: His work centers on human potential and how to fully achieve it, a field he has been dedicated to for over 38 years.1
The Gilchrist Institute for the Achievement Sciences, which Dr. Flower founded in 1984, serves as a platform for expanding awareness and concepts related to mind sciences and developing human potential.12 The institute has collaborated with various leaders and supporters over the years, including CEOs and notable figures from different fields.1
Dr. Flower's approach combines theoretical understanding with practical application, positioning himself as both a theorist of understanding and a futurist.1 His work through the Gilchrist Institute aims to help individuals and businesses unlock their full potential using scientifically-based methods.4
Highlights
The Great & The Greatest A.I. verses N.I. Ai=Artificial Systems that train machines. It utilizes large amounts of data. The success of machine learning is based on neural networks. These are mathematical models whose applicators are based on the connection between neurons in the brain, mimicking the way they signal each other. Each network is programmed to recognize a different shape in conceiving an issue. They then come together to solve the issue. The machine understands and functions various tasks based on its accumulated experiences. AI has the potential to understand intellectual tasks, think abstractly, learn from its own experiences then implement the process to solve problems. The current Ai models utilize a system which has one trillion parameters. This vast pool of data points is the criteria for the learning and functioning of the various AI systems. This is a necessary factor for establishing “thinking machines” This is not yet achievable. Or is it? Enter Ni, Natural Intelligence. Ni- Natural Intelligence. Ni is a biological construct of understanding innate to the human frame work. While Ai is artificial and math based, Ni is structured and geometrically oriented. It has 3 parts which break down into 13 segments, each with a polarity. The 13P function like neural networks. They each have a basic character which relate to the 3 parts of the system. These are the planning or creative stage, the organization and functioning stage. They come together by utilizing the billions of data points in the world we live in. (Note-not limited by the artificial construct of Ai). Our focus/awareness and our beliefs/concepts, both parts of the planning/creating parts, take data points and feed them into the Ni framework. We then utilize the system to think, solve, decide issues. While the 3 and 13 are neutral, they have the capacity to take on positive, negative, or even neutral characteristics. This depends upon the users focus and concepts. Ai & Ni Distinctions: So, what is the difference between the two entities. The distinction mainly lies with Ni. There are several. Ni is a structured system, based on scientific principles of Nature (Biology). AI is not. Ni is all encompassing while Ai is somewhat limited. This is why Ai presently utilizes over 1 trillion factors, in its attempt to be inclusive. This returns the functionality of Ai. Ni orders results into three main parts, planning/organizing/functioning (all-inclusive factors) automatically. Ai does not. It simply searches for patterns. Ai has several teaching/learning systems while Ni has multiple learning/teaching formats. Ni can readily implement frequency-based functions making it more reliable and accurate. Ni consciously implements emotional and Intuitive factors into its process. AI does not categorize its data. If it does, its does so by accident. For more info, contact Gilchrist Institute & Dr. Robert Flower. [email protected]
A Mission Statement Submitted by The Flower Family Robert J. Flower (Dr. Bob) is on a mission to help others dealing with health & loss issues. Dr. Bob’s mission is based in recent personal experiences with death related illnesses. “During the past several years I have incurred crushed vertebrae, a Cardiac Oblation, covid, long covid, Leukemia, MSD (bone cancer), loss of hearing, Basil Cell operations and Diabetes 2. I survived all based on these principles: -Consider the use of adversity -Tapping into a force within us” (reaching for my potential) - Don’t give up Surviving 2 ½ years of “physical hell”, he is dedicated on helping others, however he can, with similar confrontations. During this “hell” period, Dr. Bob was able to develop a system that measures the welfare of bodily organs as well as a value status of supplements, medications, foods, etc. “This enables me to self-direct my health passage, as well as, self-direct numerous medical decisions.” Dr Bob works closely with his team of doctors, in particular, Dr. Gregory Mears, Oncologist, utilizing his principles.
