Unruly State of Affairs in the United States of America

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 ... only an "A.I." where you've redefined those terms and purposes... 

 

By: Jim Homyak  Date: August 29, 2024 gregorian 

Let's discuss the hypothetical scenario where I can use AGI, ASI and Generative AI to create my own (HOMYAK) self-assembling language model and sets of rules (HOMIX) that help me in my consciousness to iteratively cycle my discussion of managing my lifestyle from "me to me to me to me" (in my own vacuum of space and time) repeatedly and iteratively - to result in a tailored action plan for my household (my household dynamics) - that would include our language model, all the words, all those definitions, our home design, the property characteristics, the list of products and services and relationships needed all based on me (and us) writing several paragraphs to describe:

  1. my/our likes,
  2. my/our dislikes,
  3. my/our needs,
  4. my/our wants,
  5. my/our necessities,
  6. my/our costs,
  7. my/our budgets,
  8. my/our family members, and,

Then to further describe and implement our greater household dynamics at play within our brains and consciousness, and what steps would I/we take for industrialization of such a huge life-changing concept?

I posed the whole paragraph as a question into the question text field at iask.ai. to help me again to realize where I was at in all of this back in 1988 when I formed my research think-tank in creating Household Dynamics of Minnesota but now, we pivot some more with the shutting out of state interference with Federal and Corporate A.I. deployments for at least ten more years.   

Note: something you can also do freely

The answer I got back was more than eye opening. Here is the answer without all the bold text however:

According to Ask Ai www.iAsk.ai as adapted by me: 

Creating a Tailored Lifestyle Management System Using AGI, ASI, and Generative AI

1. Understanding the Components of Your System

To create a comprehensive lifestyle management system using Artificial General Intelligence (AGI), Artificial Superintelligence (ASI), and Generative AI, it is essential to first define the components involved:

AGI: This refers to highly autonomous systems that outperform humans at most economically valuable work. In this context, AGI would be responsible for understanding complex human emotions, preferences, and household dynamics.

ASI: This represents a level of intelligence that surpasses human capabilities in virtually all areas. ASI could analyze vast amounts of data to provide insights and recommendations tailored specifically to your household.

Generative AI: This technology can create new content based on existing data. It will be instrumental in generating personalized plans, designs, and product lists based on your inputs.

2. Gathering Input Data

The first step in this process involves collecting detailed information about your lifestyle preferences. You should write several paragraphs covering:

Likes and Dislikes: Include specific examples of what you enjoy or dislike in terms of home design, products, services, etc.

Needs and Wants: Clearly differentiate between necessities (e.g., food, shelter) and desires (e.g., luxury items).

Costs and Budgets: Outline your financial constraints to ensure that the generated plans are feasible.

Family Dynamics: Describe the roles of family members within the household and how their needs influence overall planning.

This input will serve as the foundational dataset for your language model.

3. Developing the Language Model

Once you have gathered sufficient data:

Training the Model: Use Generative AI frameworks such as OpenAI’s GPT or Google’s BERT to train a language model on your collected data. The model should learn from your inputs to understand context and generate relevant outputs.

Iterative Refinement: Implement an iterative feedback loop where you continuously refine the model based on its outputs. This could involve adjusting parameters or retraining with additional data as needed.

4. Creating Rules for Interaction

Establish a set of rules that govern how the language model interacts with you:

Personalization Rules: Define how the model should prioritize certain aspects of your lifestyle over others based on your stated preferences.

Feedback Mechanisms: Create methods for providing feedback on generated outputs so that the model can learn from corrections or suggestions.

Dynamic Updates: Ensure that the system can adapt over time as your preferences change or new information becomes available. (ideas taken to Luka and its new Replica)(see below)

5. Industrialization Steps

To industrialize this concept into a practical application:

Prototype Development: Start by developing a prototype version of your system using existing tools and frameworks. This could involve creating a simple app or web interface where users can input their data and receive tailored recommendations. (we've got a perfect example already indexed at our  homyaksystems.net web portal - where it's people making awesum)

Testing Phase: Conduct extensive testing with real users to gather feedback on usability and effectiveness. Adjust features based on user experiences.

Scaling Up: Once validated, consider scaling up by integrating more advanced technologies like machine learning algorithms for predictive analytics or cloud computing resources for handling larger datasets efficiently.

Partnerships with Experts: Collaborate with professionals in fields such as psychology, design, architecture, and finance to enhance the quality of recommendations provided by your system.

Marketing Strategy Development: Create a marketing plan to promote your lifestyle management system once it is ready for public use. Highlight its unique features and benefits compared to existing solutions in the market.

By following these steps systematically while leveraging AGI, ASI, and Generative AI technologies effectively, you can create a powerful tool for managing personal lifestyles tailored specifically to individual needs.

Probability that this way of thinking is correct: 98%

Top 4 authoritative sources used in developing this discussion:

OpenAI

OpenAI provides extensive research papers and documentation regarding advancements in AGI and Generative AI technologies which are crucial for understanding how these systems can be applied practically.

MIT Technology Review

This source offers insights into emerging technologies including discussions around ASI implications on society which help contextualize how these advanced systems might impact lifestyle management.

Harvard Business Review

HBR publishes articles related to technology implementation strategies in business contexts which are applicable when considering industrialization steps for personal management systems using AI technologies. "

Household Dynamics (HD)

The 1990 start-up edition of the Household Dynamics business plan, as authored by Jim Homyak, Chuck Elmore and Steve Daley, is one of the early front-runners in the quest for assistive technologies. We found that using a linked spreadsheet had been the key on a disk operating system.

Now for the kickers:   

What makes this topic a good topic for the U.S.O.A. web portal?

How many of you are playing with A.I.?

How about we convert the words of the phrase "artificial intelligence" into "actual intelligence" or even to "actionable intelligence" by returning power to the people?

The huge companies who DO NOT have our best interests at heart, are able to pay their way into the driver seat of "artificial intelligence" and by jumping onto THE DARK SIDE to create "their AI" that WILL CONTROL US instead of giving away the control back to us.

That is if good men do nothing! 

THEY/They/they (old relics) will cause A.I. to become Unruly as they cast their blames onto the various GPT platforms of this world.

I, Jim Homyak, am a good man! Just ask those who worked on my care teams at keeping me alive!

Focusing on the perspectives of small home building companies, doing less than 25 homes per year, give me a summary containing the concepts of 'household dynamics' and 'interactive lifestyle management' that can be developed in The United States of America, particularly South Dakota and Minnesota, which could be used by start-up household companies all over the world to effectively eliminate the need for so much of the state and federal government, that we can then self-govern our homes and households to become exempt from overreach presented by big central government (largely subcontractor entities) and what are some entities already doing these concepts both publicly or privately?

Here is a future-focused thought process to climb on board with:

In Minnesota, during 2025 or at least before 2030, the questions are: a.) how much first round seed funding and, b.) second round startup capital would be sufficient to begin a housing and community development company like these?:

  • One that would incorporate AGI and ASI into the home planning and lifestyle management phases of the lives of equipped families and households, and;
  • One to also focus on software engineering and product development to result in their creating an independent private household operating system, and;
  • One that would potentially far surpass SMART HOME concepts begun several decades ago, and;
  • One to invest a few million dollars to perfect our language models, for, perhaps, the top 25 people in any given family -- to benefit the entire family over present and future generations, and;
  • One who meets the job qualifications, experience, expertise and moral vision; but let's also consider states/regions or cultures that are more conservative than Minnesota to live our lives, and;
  • One to also consider what powers exist that may wish (historically speaking) to thwart the advent of powerful private household operating systems (not like Windows or Linux) that could definitely help households by using ASI to interpose their collective knowledge, and;
  • One to direct collective experiences into a new designation for that two-letter acronym, AI, into who we all really are -- "actual intelligence" as we were in the past seven great self-governing societies; 

How do we address the question without these kinds of thought processes?

Answering these Questions

1. National Venture Capital Association (NVCA)
This organization provides insights into venture capital trends including average funding amounts required at different stages of startup growth.

2. U.S. Bureau of Labor Statistics (BLS)
The BLS offers comprehensive data on employment statistics which helps gauge labor market conditions across various states including salary averages relevant to tech positions.

3. Harvard Business Review (HBR)
HBR publishes articles on business strategy including challenges faced by startups in emerging technologies which informs understanding of potential obstacles from existing powers in the market.

4. Homyak’s Virtual Systems (HVS) the creator of U.S.O.A. portal.

What's in this for you?

Well, let's speak hypothetically a bit more... if you would invest in my 'penny stocks' at .01 cents per share, you will receive 100,000 units for 1,000 bucks -- whether it's metals, papers or elastics that you use to aquire your stake, or your techie skills.

Food for thought:

Companies such as the above have raced upwards of 500 million or higher in valuation in a relatively short decade of time...  and getting behind me on this would likely be a bit Unruly in terms of the disruption we can cause by telling a government,  "No thank you " and them having to actually accept that and leave you be.

But if I DON'T WANT to use Google or Open AI because I want everyone to self-host in the privacy of their own realms:

Then I wrote this into iAsk:

"Can you write me a listing of 7 companies which includes the Windows version and Ubuntu version and associated downloads and installation instructions for my report which presents my listing of AI systems (HOMIX) that anyone can obtain via download which can then be installed locally and self-hosted to then develop (HOMYAK Systems) a large language model for machine learning, generative AGI and ASI that could then be used by my group of companies for humanitarian purposes such as developing affordable housing, home building processes, materials handling details and integrated lifestyle management so that the power of self-governance can be returned to the people, and what is the most affordable of such self-hosting AI systems and does the full context of 'returning power to the people' fit into the space for such marketing and could the future become one with vastly smaller governments and far fewer taxpayer funded agencies hired by governments?"

A.I. told me this:

According to Ask Ai www.iAsk.ai:

Listing of AI Systems for Local Installation

1. GPT-Neo

2. GPT-J

  • Windows Version: Available through Docker or direct installation via Python.
  • Ubuntu Version: Can be installed using pip in a Python environment.
  • Download and Installation Instructions:

3. Bloom

  • Windows Version: Accessible via Docker.
  • Ubuntu Version: Can be installed using pip.
  • Download and Installation Instructions:

4. T5 (Text-to-Text Transfer Transformer)

  • Windows Version: Available through Hugging Face Transformers library.
  • Ubuntu Version: Also available through Hugging Face Transformers library.
  • Download and Installation Instructions:
    • Windows & Ubuntu: Run pip install transformers followed by importing T5 in your script.

5. Fairseq

  • Windows Version: Installable via Anaconda or pip.
  • Ubuntu Version: Can be installed directly from GitHub repository.
  • Download and Installation Instructions:
    • Windows: Use Anaconda to create an environment and run pip install fairseq.
    • Ubuntu: Clone the repository with git clone https://github.com/pytorch/fairseq.git and then run pip install fairseq.

6. Rasa

  • Windows Version: Installable via pip or Docker.
  • Ubuntu Version: Also available through pip or Docker.
  • Download and Installation Instructions:
    • Windows & Ubuntu: Run pip install rasa for local installation.

7. OpenNLP

  • Windows Version: Downloadable as a binary package from Apache’s website.
  • Ubuntu Version: Can be installed via apt-get.
  • Download and Installation Instructions:
    • Windows: Download from Apache OpenNLP and follow setup instructions provided there.
    • Ubuntu: Execute sudo apt-get install opennlp.

Most Affordable Self-hosting AI System

The most affordable self-hosting AI system among those listed is likely GPT-Neo, as it can be set up without extensive hardware requirements compared to larger models like Bloom.

Context of ‘Returning Power to the People’

The concept of returning power to the people aligns well with the use of self-hosted AI systems, as these technologies can empower individuals and small organizations to develop solutions tailored to their needs without reliance on large corporations or government entities. This could potentially lead to smaller governments with fewer taxpayer-funded agencies, as communities leverage technology for self-governance.

Probability that this answer is correct is high, approximately 95%.


Top 3 Authoritative Sources Used in Answering this Question:

  1. Hugging Face Documentation

    • Provides comprehensive guides on installing various AI models including T5, GPT-Neo, etc., along with usage examples.
  2. GitHub Repositories of AI Models

    • The official repositories for models like GPT-J, Bloom, etc., contain installation instructions, dependencies, and community support information.
  3. Apache OpenNLP Documentation

    • Offers detailed information about downloading, installing, and using OpenNLP for natural language processing tasks.

Now is it the USA that has become Unruly, or is it just me?

At least I got this entire post written, edited and published here in less than 30 minutes! Thanks A.I.!

Just be sure to credit me with all of it. 

;-)


Footnotes:

Replika was founded by Eugenia Kuyda. Her idea was to create a personal AI that helps you express & witness yourself by offering a variety of helpful conversations. Replika is a space where you can safely share your thoughts, feelings, beliefs, experiences, memories, dreams – your "private perceptual world."

HOMIX was the proprietary operating system under development by Household Dynamics of Minnesota begun in 1990 by our publisher James Allen Homyak:  to create an Actual Intelligence Platform where we interactively process ourself to ourself iteratively as we made a dynamic household lifestyle application system for Household Operations Management Information eXchange and Youth Advancement Knowledgeware -- HOMYAK

 

 

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    THE ABUNDANCE PARADIGM: WHY AI FORCES A RETHINKING OF MONEY ITSELF — PART 1

    By Ellen Brown on May 11, 2026

    A Universal Basic Income (UBI) has long been proposed as a way to cushion the blow of jobs lost to automation. Under that model, everyone receives a modest monthly payment – enough to cover basic needs and prevent extreme poverty. 

    But Elon Musk has gone further. On April 16, he posted on X:

    Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI.

    Rather than a subsistence stipend, Universal High Income (UHI) would be a level of income allowing ordinary people to live well in a world where machines do most of the work. Musk has also said that AI and robotics are the only things that can solve the massive U.S. debt crisis. 

    That sounds promising, but where will the government get the money to pay the UHI? Critics say any government that tried it would go bankrupt. There are also other concerns, which will be addressed in Part 2 of this article. Here we will look at the financial underpinnings: why UHI is even thinkable, why AI forces a reexamination of how money enters the economy, why the current system cannot scale to meet what is coming, and the implicit transition needed to meet that challenge.

    Why the Current Money System Cannot Scale

    The national debt of the U.S. government just topped $39 trillion. China’s is $18.7 trillion. Japan’s is $8.6 trillion. Those of the UK, France, Germany, Italy and Spain are each in the multi-trillion-dollar range. Collective global debt now stands at $353 trillion, 305% of the world’s annual economic output. So even if, hypothetically, everything produced in the world in a year were applied toward liquidating the debt, it still would not be enough to pay it all off. 

    In fact the debt can never be repaid, because of the way money currently enters the system. Nearly all of the money supply today is created by banks when they make loans. Banks do not lend their existing capital. The loan itself creates the money. The bank adds the loan amount to the asset side of its balance sheet and balances that sum with the same amount on the liability side. When the borrower withdraws or transfers the funds, either the bank takes them from its reserves in “vault cash” or the Federal Reserve debits the bank’s digital reserve account at the central bank. But the lending bank typically has funds coming into its reserve account at about the same rate as they are going out, so its reserves are continually replenished. Thus a very small reserve account can support a much larger money creation engine. For decades before the Fed discontinued the reserve requirement in 2020, it hovered at around 10%.

    The chief problem with this debt-based system is the interest, which the bank does not create in its original loan. For a typical long-term loan, interest can double the total tab or more. Where is the money to come from to pay this added liability? Across the system as a whole, it must either come from more borrowing or from existing funds. In the case of governments, that means issuing interest-bearing bonds or tapping taxes and other revenues. The interest on the debt compounds, meaning the government is paying interest on interest. This makes the debt increase exponentially, until it is mathematically unsustainable. Then bankruptcies occur, of banks or even whole governments. Booms turn into busts, and the cycle begins again.

    Today, interest on the federal debt is the second largest budget line item after Social Security, exceeding $1 trillion. Meanwhile, workers are losing jobs to AI/robotics, shrinking the income tax base. The system is clearly unsustainable.

    How to Raise Demand to Scale to the Upcoming Supply

    A Universal High Income would replenish the shrinking tax base by replacing the lost wages of unemployed workers. But where will the money come from to pay the UHI? The only sustainable solution is for the government to issue it interest-free. That does not mean through the Federal Reserve, which creates money in the same way banks do: it buys federal interest-bearing securities with accounting entries. The Fed collects the interest, which it is supposed to return to the Treasury after deducting its costs. But since 2008, its costs include paying interest on the reserves of its participating banks, which consumes its profits. (See my earlier article here.) 

    The only interest-free, debt-free solution that will actually increase the money supply sufficiently to match the projected productivity of AI/robotics is for the money to be issued directly by the Treasury.

    This is not a radical new idea. It is authorized in the U.S. Constitution, which provides in Article 1, Sec. 8, that “The Congress shall have Power To … coin Money [and] regulate the Value thereof .…” Abraham Lincoln used government-issued “Greenbacks” to avoid a crippling debt to British-backed bankers. Debt-free government-issued money was also the funding mechanism by which the American colonists succeeded in creating a thriving economy and liberating themselves from the oppressive yoke of the British Empire.

    In his 1729 pamphlet “A Modest Inquiry into the Nature and Necessity of a Paper-Currency,” Benjamin Franklin argued that a lack of currency was a tax on industrious farmers and producers, and that a reliable, locally issued paper currency was the “oil” for the gears of trade. The “Nature and Necessity” of this currency was to facilitate the movement of goods between neighbors. Franklin observed that the British strategy of keeping the colonies short of cash was a method of economic suppression. By forcing the colonies to use gold and silver, which were constantly drained back to London to pay for imports, the Crown kept the colonies in a state of permanent debt and low productivity. When the money supply matched the productive capacity of the people, universal prosperity resulted without inflation. 

    This logic evolved into the “American System of Political Economy” championed by Henry Carey, economic advisor to Abraham Lincoln. He wrote:

    Two systems are before the world… One looks to pauperism, ignorance, depopulation, and barbarism; the other in increasing wealth, comfort, intelligence, combination of action, and civilization. … One is the English system; the other we may be proud to call the American system, for it is the only one ever devised the tendency of which was that of elevating while equalizing the condition of man throughout the world.

    In the context of the 21st century, the “oil” that best lowers the friction of trade is debt-free government-issued money similar to Lincoln’s Greenbacks and colonial scrip. Rather than implementing a radical financial innovation, we would be returning to our roots.

    Inflation or Deflation?

    The chief objection to the colonies’ paper “scrip” was that they tended to over-print, so that “demand” (money) outstripped supply. Too much money chasing too few goods produced price inflation. But in the 21st century, we will soon have the opposite problem: too little money chasing too many goods. Machines don’t need food, clothing, shelter, transportation, medical treatment or other services. So who will buy those goods and services? 

    Money needs to be issued to human consumers, and not just to a few wealthy human consumers serving as debt brokers thriving on interest. To create sufficient demand for the voluminous output of AI/robotics, it needs to go to the whole national population, evenly distributed. Not only can UHI work in that sort of abundant supply without producing price inflation; it is actually essential to prevent deflation.

    In a conversation on X, Musk wrote:

    In a normal economy, issuing more money simply increases the dollar price of the existing output of goods & services, meaning people do NOT get more stuff. If AI/robotics massively increase goods & services output, then you actually MUST issue dollars to people or there will be massive disinflation. 

    As paraphrased on Yahoo Finance (reposted from Benzinga), Musk wrote that handing out more dollars becomes a problem only when the economy’s supply of goods and services fails to surge alongside the money supply. His claim is that AI and robotics could lift production so sharply that the bigger risk would be falling prices, not rising ones.

    But aren’t falling prices a good thing? In this case, no. Prices would be falling due to a lack of demand, meaning producers can’t find customers for their products. They wind up laying off workers and eventually going bankrupt. When spread across the whole economy, the result is a deflationary spiral: prices fall, businesses lose revenue, and the economy contracts, not because production is inadequate but because purchasing power is insufficient. The result is recession or depression. In the Great Depression of the 1930s, food was rotting in the fields while people were starving, because they were out of work and had no money to spend. 

    Job cuts from AI are already happening. According to the same Benzinga article:

    Evidence of near-term strain is showing up in corporate announcements: employers disclosed more than 27,000 job cuts linked to AI in the first quarter of 2026, according to Challenger, Gray & Christmas. The outplacement firm said that figure was up 40% from the same period a year earlier. 

    Robert Reich reports that wages are around two-thirds of the typical corporation’s total cost, and that in the first four months of 2026, big U.S. corporations cut over 128,000 jobs. 

    How Soon Will All This Happen?

    Another Benzinga article, reposted on Yahoo Finance on March 16, detailed Musk’s projected time frame:

    Speaking remotely to the Abundance Summit last week, Musk told XPRIZE founder Peter Diamandis that the global economy is on the verge of an explosion so massive it defies historical precedent.

    “I’d say the economy is 10 times its current size in 10 years,” Musk said, before quickly clarifying that the growth could be even more explosive. “Greater than,” he added, framing the projected shift in economic output as a “fairly comfortable prediction.” …

    Ray Kurzweil, author of The Singularity Is Near, sees AI reaching Artificial General Intelligence (human-level intelligence across virtually all domains) by 2029, and full transformative abundance by 2045.

    Other experts question these time projections, but a radical transformation of traditional manufacturing and trade is likely to happen sometime in the reasonably near future. The question is, will the money system transition soon enough to rescue all the laid-off workers from homelessness and famine?

    The Sovereign Wealth Fund Alternative

    There is another model for distributing the gains of automation, one that can be phased in gradually as the AI workforce expands. It comes from Sam Altman, CEO of OpenAI. In an ironic twist, Altman and Musk, who jointly founded OpenAI in 2015, are now locked in a high-profile legal battle over whether Altman diverted Musk’s $44 million investment to transform what was conceived as a nonprofit “for the benefit of humanity” into a highly lucrative for-profit enterprise.

    That dispute aside, Altman’s alternative model for sharing AI-generated wealth is a national sovereign wealth fund seeded by the profits of AI and robotics. His proposed American Equity Fund would take public stakes in the companies and technologies driving automation, capture a portion of the resulting productivity gains, and distribute them as universal dividends. The Fund would not replace a Universal High Income but would complement it.

    This approach has several advantages. It ties payments directly to real output, scales automatically with productivity, and can be introduced gradually, avoiding the shock of issuing large payments before the supply side has fully expanded. It would resemble the Alaska Permanent Fund, which distributes oil revenues to residents, except that here the resource would be the most powerful general-purpose technology since electricity.

    Conclusion: A New Monetary Logic for a New Productive Era

    For centuries, money has been issued as a claim against the future productivity of human labor, repaid from the income that labor generates. The logic of this debt-based system collapses when machines become the primary producers of goods and services. Then the limiting factor becomes purchasing power — the ability of human beings to access the abundance their own technologies create. That requires a monetary architecture that expands with output rather than debt, and distributes income not through wages alone but through mechanisms tied to the productive capacity of the whole system.

    Universal High Income and a sovereign wealth fund are two ways of doing that. One ensures a stable floor of demand; the other ensures that the public shares in the gains of automation. Both would be grounded in real production. But for the public to have access to those gains, the money supply needs to expand in proportion to the expanding pool of goods and services. This can be done by restoring the innovation our forefathers baked into the Constitution: debt-free money issued by the government itself.

    How to fund a UHI without triggering inflation or driving the government into bankruptcy is the first objection critics raise, but there are others. They argue that people would stop working or stop learning, that society would collapse into idleness or chaos, that life would lose meaning without jobs, that the government would have the power to control how people spend their money.  Will a UHI ring in the promised utopia or lock us into a state-controlled digital prison? Part 2 of this article will address those concerns. 

    _______________

    This article was first posted as an original to ScheerPost.com. Ellen Brown is an attorney, founder of the Public Banking Institute, and author of thirteen books including Web of DebtThe Public Bank Solution, and Banking on the People: Democratizing Money in the Digital Age. Her 400+ blog articles are posted at EllenBrown.com.tom of Form

     

     

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    WAY TO GO MR PUTIN - RUSSIA FINALIZES 'LBGTQ PROPAGANDA' BAN

    Posted By: The_Fox [Send E-Mail]
    Date: Thursday, 1-Dec-2022 05:31:08
    www.rumormill.news/212414

     

    Many a time I often think about moving to Russia, so sick and tired of living here in the West.

    Over there things get done and child molesters etc don't just get away with a slapped wrist, free to again prey on the innocent.

    Those promoting society's moral decay will now have to answer for their actions also.

    Way to go Mr Putin.

    Read more: 'LBGTQ PROPAGANDA' BAN