Can AI help improve health and wealth outcomes?

April 15, 2024

Most humans desire health and wealth. Who wants to be ill and poor? Humans can take action to promote the creation of health and wealth. These are dynamic states created and lost every day in a dynamic interplay of luck (lots of it) and agency or free will (limited). Artificial intelligence (AI) can help humans improve their health and increase their wealth. Future AI digital assistants (DAs) will most likely become the best personal coaches for billions of humans worldwide. Computers will continue helping humans thrive and survive.

Lady Luck and 3G “Goodwill” Factors: Genetics, Groupology, and Geography (3Gs)

Luck has a lot to do with health and wealth creation. The genetic, geographic, and group “lottery” of life is very relevant in predicting the human health and wealth odds for an individual. The genes copied at conception, in what family a human is raised, in which country, and the groups to which a human may belong to will have an oversized influence in the the health and wealth outcomes.

The “gene lottery” is the first act of random luck affecting health and wealth outcomes for a human. The genes inherited at conception will dictate and influence many aspects of health and wealth. Obviously, if a human is born with a serious congenital disease or with a heavy predisposition for a disease, health and wealth will be generally harder to attain and sustain than if the human inherits healthy genes. Due to racism, gene “lottery” results may also disproportionately affect wealth and health outcomes. The socioeconomic status of the family in which a human is raised will be a huge factor for both health and wealth. Upward mobility is a possibility in some nations, but even there it can be a statistical anomaly.

The country in which a human resides, or the part or region of the world for that matter, plays a crucial factor on health and wealth creation. Some countries and regions promote better health than others due to environmental conditions including both natural as extreme heat and artificial such as pollution. Obviously, the socioeconomic legal system of the country or region will significantly affect both health and wealth outcomes for individuals.

The groups (e.g. communities, neighborhoods, churches, schools, universities, teams, leagues, clubs, employers, companies, partnerships, corporations, boards, associations, charities, and ventures) to which the human may belong to will also greatly impact health and wealth outcomes independent of the own actions of the individual.

Agency and Free Will

The power to make choices (free will) and the ability to act on those choices (agency) are what distinguish living things from nonliving things. Living things and non living things are both made up of matter. Life is matter with agency. Living things have an apparent free will that allows them to exercise a limited power of choice or agency in their interactions with and within the rest of the physical environment.

Free will and agency in animals, including humans, may be more limited that what is commonly believed. Animal free will and agency appear to be constrained by convenience. Animals end up choosing whatever they deem more convenient, which may be a result of energy dynamics that in fact may leave little choice to the animal. To some extent, agency may be an illusion. Cellular awareness of environmental factors may end up creating a “gravitational” pull of convenience that is inevitable for animals to overcome. This is what Creatix calls gravitational choice (GC) or gravity of convenience (GoCo), but it’s a topic for another day.

The free will and agency choices of humans will impact health and wealth outcomes. Since free will choices are the ones under individual control at least partially, those are the once humans should focus on to improve their chances of good health and wealth.

Agency derives from awareness. If an organism is not aware of a choice is like if the choice does not exist. If a human is not aware that it can build health and wealth, there is little than the human can do to consciously try to improve the chances of good health and wealth. Once a human becomes aware of the ability to make choices that can impact health and wealth, the human can take action to choose correctly and take prudent action.

Of NERD and PRADA

There is plenty of information online about how to promote human health and wealth. For health, Creatix advises implementing the “eNERD” protocol. It stands for effective nutrition, exercise, and rest daily. For wealth, Creatix recommends the “ePRADA” protocol. It stands for effective property rights acquisition development actions.

More to follow on the eNERD and ePRADA protocols in future articles, products, and services. In the meantime, remember that AI will change everything. For example, AI digital assistants (DAs) will become the best tutors for effective protocols for health and wealth. AI will soon become the best advisor available to humans wanting to improve their health and wealth. AI can help humans not only with information and motivation, but also with actual implementation of healthy and wealthy protocols. For example, AI can do your grocery shopping and investing online. AI won’t be able to go to the gym for you, but may become the most effective personal trainer on Earth.

AI Revolution: More of the Same with Computers Leading the Way

As you prepare for the future ahead, during these early years of the AI revolution, don’t stress, finesse. There will be ups and downs, booms and busts, and lots of confusion and anxiety in the years to come. What else is new? Change is the only constant. Nothing is ever still. The Information Era will continue marching on and the pace of change will continue accelerating. There is nothing humans can do about it other than learn to adapt and overcome.

To a large extent, AI is just a continuation of more of the same in terms of the proliferation of modern computers. Perhaps the best case on point is one of the oldest computer companies in the world, which is reaching record high valuation thanks to the AI boom (and bubble)

Thanks to the AI boom (and bubble), International Business Machines (IBM), which was founded in 1911 and which went public on January 2, 1962, is now trading at near record highs. IBM debuted in the stock market at a split-adjusted price per share of of $1.60. As of April 12, 2024, IBM’s closing stock price is $182.27, with an all-time high of $197.78 reached the month prior on March 12, 2024.

IBM is a multinational technology company with a long and storied history. Here’s an overview of key milestones in IBM’s history:

• Founding (1911): IBM traces its roots back to the founding of the Computing-Tabulating-Recording Company (CTR) in Endicott, New York, in 1911. CTR was formed through the merger of four companies: the Tabulating Machine Company, the International Time Recording Company, the Computing Scale Company of America, and the Bundy Manufacturing Company.
• Name Change to IBM (1924): In 1924, the company changed its name to International Business Machines Corporation (IBM) to reflect its expanding focus on business machines and data processing equipment.
• Punch Card Tabulating Machines: In the early decades of its existence, IBM became known for its punch card tabulating machines, which were used for data processing, record-keeping, and accounting purposes by businesses, government agencies, and other organizations.
• Mainframe Computers (1950s-1970s): IBM made significant advancements in computer technology with the development of mainframe computers in the 1950s. The IBM 700 series and subsequent mainframe models became the backbone of corporate computing infrastructure, handling large-scale data processing and transactional workloads.
• System/360: In 1964, IBM introduced the System/360, a groundbreaking family of mainframe computers that offered compatibility across a range of models and sizes. The System/360 was a major innovation in computer architecture and laid the foundation for IBM’s dominance in the mainframe market.
• Personal Computers (1980s): In the early 1980s, IBM entered the personal computer (PC) market with the introduction of the IBM Personal Computer (IBM PC) and the IBM PC/XT. These machines, powered by Microsoft’s MS-DOS operating system, helped to popularize the use of PCs in businesses and households.
• Strategic Shifts: In the following decades, IBM underwent strategic shifts to adapt to changes in the technology landscape. This included divesting its PC business to Lenovo in 2005 and focusing on high-growth areas such as cloud computing, artificial intelligence, and analytics.
• Acquisitions and Partnerships: IBM has grown through a series of acquisitions and partnerships, expanding its portfolio of products and services. Notable acquisitions include the purchase of PwC Consulting (now IBM Global Business Services) in 2002 and Red Hat, a leading provider of open-source software solutions, in 2019.
• Current Focus Areas: Today, IBM is a leading provider of enterprise IT solutions and services, including cloud computing, data analytics, artificial intelligence, cybersecurity, and blockchain technology. The company continues to innovate and adapt to changing market dynamics while maintaining its position as a trusted technology partner for businesses worldwide.

Throughout its history, IBM has played a significant role in shaping the technology industry and driving innovation in computing, data processing, and information technology.

IBM’s Watson is an AI platform developed that leverages advanced natural language processing, machine learning, and cognitive computing capabilities to analyze large volumes of unstructured data, understand human language, and provide insights and recommendations. Named after IBM’s first CEO, Thomas J. Watson, Watson represents a significant advancement in AI technology and has a wide range of applications across industries.

Here are some key aspects and features of IBM Watson:

• Cognitive Computing: IBM Watson is designed to mimic human cognitive abilities by understanding natural language, interpreting context, and generating responses based on learned patterns and knowledge. It can process vast amounts of unstructured data, such as text, images, and videos, to extract meaningful insights and knowledge.
• Natural Language Processing (NLP): Watson’s NLP capabilities enable it to analyze and understand human language, including written text and spoken speech. It can interpret the meaning of words, phrases, and sentences, as well as identify sentiment, tone, and intent.
• Machine Learning: Watson uses machine learning algorithms to learn from data, identify patterns, and improve its performance over time. It can analyze structured and unstructured data sets to discover correlations, trends, and relationships, and make predictions or recommendations based on the findings.
• Industry Solutions: IBM Watson offers industry-specific solutions and applications tailored to various sectors, including healthcare, finance, retail, manufacturing, and telecommunications. These solutions address specific challenges and use cases, such as medical diagnosis, fraud detection, customer service, supply chain optimization, and predictive maintenance.
• Cloud-Based Platform: Watson is available as a cloud-based platform, known as IBM Watson Cloud, which provides developers and organizations with access to a suite of AI services and tools. These services include natural language understanding, image recognition, speech-to-text, text-to-speech, and conversational AI capabilities.
• Developer Tools and APIs: IBM Watson offers a range of developer tools, APIs, and SDKs (Software Development Kits) that enable developers to build custom AI applications and integrate Watson’s cognitive capabilities into their existing systems and workflows. These tools provide access to pre-trained models, algorithms, and data sets, as well as tools for training and customizing AI models.
• Ethical AI: IBM Watson is committed to ethical AI principles and responsible data practices. IBM emphasizes transparency, fairness, and accountability in the development and deployment of AI systems, as well as adherence to privacy and security standards to protect user data and ensure trustworthiness.

Overall, IBM Watson represents a powerful and versatile AI platform that empowers organizations to unlock the value of their data, drive innovation, and transform business processes across a wide range of industries and use cases.

Watson vs. ChatGPT

IBM Watson and ChatGPT are both AIs, but they have different capabilities and uses:

IBM Watson

Watson is an AI suite of services and tools. Watson can handle structured and unstructured data. Watson is trained to understand language and can be customized to understand user intentions. Watson excels in structured data analysis, and is highly suitable for training focused on specific domains or industries such as healthcare, finance, and customer service. Watsonx.ai allows users to set up parameters to ensure its content generation sticks with guidelines set for it.

ChatGPT

ChatGPT is a specific natural language processing (NLP) model developed by OpenAI. ChatGPT is primarily focused on unstructured text data. ChatGPT leverages a large and unspecialized training set, using the internet as a searchable database. It’s known for generating human-like text, including chat bots, language translation, and content generation. ChatGPT performs remarkably well in natural language processing tasks like chat bots, language translation, and content generation.

As ChatGPT becomes more specialized, and as Watson becomes more generic, the two may become very similar contestants in the upcoming battles of AI as a service.

All of the above to state that some things never change. Once humans develop convenient technologies and machines, they stick for a long time if not forever. Humans invented the wheel millennia ago, and still use it daily to this day. Humans invented modern computers about a century ago. Computers are still around and will continue being around for a very long time and probably forever.

• Modern computers are electronic devices that process data input into data output by following algorithmic (step by step) rules to perform simple arithmetic operations and logical comparisons. Computers use binary language represented by 1s and 0s. Computers use transistors made of semiconducting materials to switch electricity on and off to represent 1s or 0s. Computers can process electrical digits (1s and 0s) at the speed of electrons. That speed of computational execution is what sets modern computers apart and what explains how they will end up surpassing human abilities in all fields.
• Modern computers are now producing AI or human-like intelligence. In the near future, AI will surpass human intelligence (HI) in all fields. AI and humans will eventually merge into a new dominant species or life form that Creatix calls AI Sapiens. More to follow about AI Sapiens in the future.

Most humans are interested in finding easy ways to improve health and increase wealth. Computers and AI applications such as digital assistants (DAs) will help humans develop health and wealth. There are many factors tied to luck and outside of human control. There are also free will choices that humans can make to improve their chances of improving health and increasing wealth. Humans need to be aware of effective choices and find behavioral health tools and protocols that can help them take effective action. Computers and AI applications will help clever humans develop an edge.

Thanks to computers and AI, the best is yet to come. Keep learning and investing in the field. Do your best and don’t worry about the rest. Stay tuned to Creatix, the creative advice matrix helping someone (not everyone).

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