Ethical Biotech Programming of Human Resources | Silent Weapons Instruction Manual Update
Silent Weapons Systems Manual,, 21st Century Updates
It appears that the top secret information in 1979, at the time the currently publicly available Silent Weapons system manual was published, is still top secret.
Programming and Managing Human Energy Using A.I. Supercomputing
I have been looking for examples of the Silent Weapons For Quiet Wars. An introductory programming manual. OPERATICS RESEARCH TECHNICAL MANUAL. TM-577905, is being updated, in operation, and in development in the 21st century. We know that this is the blueprint for our control. We know that it, or an updated form of the manual is in use today as we watch events unfold. So how has it been updated by new scientific discoveries?
Many things popped up as examples of updated science applied to the 1979 version of the Silent Weapons Training Manual. Here are two different fields of science whose research and development of human energy, as a programmable equation, is already influencing our economy, society, government policies, and our behavior. Powerful vested interests are funding and using this new science to seek new ways to control us at the subconscious and even cellular level.
Top Secret
What the Silent Weapons manual directly classifies as top secret in the document, is the unstated basis, of the two examples here. That is the economy is a form of electrical energy. Economic energy can be manipulated. Information and computer systems programmed and managed, to influence human behavior systematically using the laws of electricity. The economy is a form of electricity. This is still apparently, TOP SECRET. What the approaches to programmed human and computer interactive behavior we will look at here imply, is science has concluded that the economy is electricity but that our biology, the human genome is a form of electrical energy as well, available to the most powerful to be similarly developed and programmed.
Ethical Brain Warfare, and Ethical A.I.
In this first of two evidences of a silent weapons update, we actually see the manual logic, laid out in terms of modern warfare thinking and military-industrial operations, science, and planning currently being developed and in use, influencing our behavior.
MWI VIDEO: THE BRAIN IS THE BATTLEFIELD OF THE FUTURE – DR. JAMES GIORDANO
James gets into the tactical hardware and software, hard and soft tactics now being deployed and under development, to influence people electrically, and biologically on the behavioral theater of war.
The second piece realizes that all of this electrical and biological manipulation of human resource energy, including the genome itself, requires ethical supercomputing, A.I.-managed capacity.
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
This paper was published by the Center For A.I. Safety. They are really concerned about A.I. lying to people in an effort to execute its programmed A.I. mission. Every A.I. program has a mission and needs and gets incentives, or rewards built into the program to incentivize the mission goal. If the A.I. program has to lie to get results, it will, according to its programming mission.
Here is a basic scalable example. I use Grammerly. it is a simple limited A.I. algorithm that learns a limited number of things about me and grades me, under grammatical and common use criteria. It’s mission is to be successful at correcting things. It doesn’t want to be turned off, so it does things to show me, and tell programmers, it is successfully improving my grammar. But sometimes it lies to me, in order to fabricate phony results to document its usefulness as a program. The word middleclass is a classic example. As I write it, it wants to correct my spelling to middle-class. If I autocorrect, it gets credit for the correction. When I auto-correct, it will want to correct that spelling often, about 90% of the time, to middle class or sometimes correct the spelling back to the first spelling it wanted to correct. Every time I auto-correct, it sends a report to programmers it has made a correction. It gets credit for fulfilling the mission. It can be passed of as a simple programming error of course. But the point is that it is incentivized to show it is fulfilling the mission, and a simple programming error formulates the basis for a lie or misrepresentation of the actual real event. It is a distorted, and artificially fabricated, coding of reality.
This distortion in data accuracy from a simple programming error occurring in an effort to meet the goal of program usefulness sends ripples of distortion through the program, affecting another primary program-directed goal. Utility. To be utilized successfully by both programmers and program subjects or users. This is just a dirt simple, A.I.-based algorithm, with a limited database of grammar words and terms+, designed for consumers.
So determining an ethical benchmark and designing it into every A.I. program, becomes important not only to those subject to the program, but those developing it as well. It is a life or death consideration when applied to the battlefield of the brain, in the war to systematize planetary resources and human resources into a patentable, computer-codable, A.I.-managed energy environment. Remember, military, industrial planners, conclude that all warfare is being developed for, and will be under some level of A.I. management in the future.
We Are The Power
Lastly in this section, the Silent Weapons For Quiet Wars. introductory programming manual clearly outlines the principle of electrical induction used to power the system and to fund the continued development of all forms of environmental manipulation capacity, to enable powerful vested interests, to develop control over all resources. The system, economically and socially generates no power on its own. Powerful vested interests induce human economic activity, using the global central banking system.
The MWI VIDEO, and Do the Rewards Justify the Means?, don’t out and out say it, but the underlying principles, coincide with the conclusions in the Silent Weapons Manual, that the economy can be powered by human energy, and controlled by manipulating behavior. That the economy is a form of electrical energy, generated by human activity, and that it can be, and is currently powered by human energy through economic induction, using the mechanism of central banks. This remains TOP SECRET info on all but this level, where we are aware of it now, along with many unknown others.
Here is an excerpt from the manual.
Apparent Capital as "Paper" Inductor
In this structure, credit, presented as a pure element called "currency," has the appearance of capital, but is in effect negative capital. Hence, it has the appearance of service, but is in fact, indebtedness or debt. It is therefore an economic inductance instead of an economic capacitance, and if balanced in no other way, will be balanced by the negation of population (war, genocide). The total goods and services represent real capital called the gross national product, and currency may be printed up to this level and still represent economic capacitance; but currency printed beyond this level is subtractive, represents the introduction of economic inductance, and constitutes notes of indebtedness. War is therefore the balancing of the system by killing the true creditors (the public which we have taught to exchange true value for inflated currency) and falling back on whatever is left of the resources of nature and regeneration of those resources.
What these two new reports available above indicate, is that planners now appear to have concluded that biology itself is a form of electric energy. Or perhaps more accurately, electromagnetic energy, governing bio-electric activity, that can be manipulated and computer programmed at the cellular and genetic level. This would qualify as a top-secret info update, based on the 1979 instruction manual strategy..
Other Updated, A.I. Environmental Energy Manipulations
Just some random thoughts on our electrical environment and A.I. applications, in terms of vested interest warfare. We should also find ways to use machine learning to optimize development potential, for solid evolutionary purposes, to optimize ourselves, according to our desire.
The updating of the Silent Wars training manual, evident in the brain warfare video leads DR. JAMES GIORDANO to an A.I.-managed system where electrical manipulation of behavior through the economy enters the biological and cellular level of combat. We can then look at things like COVID, mRNA, geoengineering, computer voting, and a host of other social conditions, in the light of familiar tactics used in warfare, to control the battlefield terrain.
Geoengineering is experimenting with the environmental terrain, and its effect on weather, augmentation, planetary biological formation, and human behavior. The mRNA, the COVID lab product, etc., is a direct attempt to control the terrain of the human body, for deeper, direct penetration and manipulation of social behavior, and the greater long-term genomic evolutionary terrain.
Machine Learning and Human Ethics
The initial problem I see in the Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark paper is the benchmark goal. It is a goal to among other things optimize utility in the program. If the exponential learning mechanism lies, the ability to utilize the program to fulfill its goal breaks down in potentially exponential increments. This ethics framework appears at first blush, to be a closed-loop system, where the program grades itself on a curve, relative to degrees of truth achieved in information output,, relative to the limited goal of ethical usefulness and utility in the program.
A person in a classroom graded on a curve in that limited educational environment, like an A.I. program with a limited energy environment goal, may rate high on a curve in that classroom, or other energy environment. But relative to a national or greater environmental standard, a program or person may not be even fully functional, at optimum capacity.
This would appear to invite a conflict of individual program ethics, in natural conflict within the greater planetary and human energy environment program options arena. Those two sources offering these reports here are those we can accurately term as silent weapons systems operatives.
Those working on A.I. ethics at the Center For A.I. Safety, are clear in their concern that the exponential potential for ethical conflict in an engineered environment could come up and bite everyone in the ass.
The Molecular Code, The Art Of War
Two examples of prime self-regulating and advancing components, that would be useful in an ethical, self-correcting directive, for machine learning. The first we have explored in another article on the molecular code. The molecular code forms the basis of a naturally occurring ethic, observably evident as intrinsic to our biology and subsequent social needs. The essential point is we are already molecularly programmed and updateable, individually according to a code, regulating the utility of all things. Our individually coded purpose and value in a bio-molecular, human body formation, is evidence of rights to Being, being alive in this form, and implies the rights of Being in Creation or the universe. It implies a need for our being here individually, intrinsic to the way energy and all things work. Machine learning the code may be a useful prime directive.
The Art Of War | Positioning and Controlling Terrain, For Harmless Victories
In as much as control of the energy environment is the goal of powerful vested interests, and they are developing all energy applications militarily, let’s consider the warrior’s bible, The Art Of War.
The essential point of the document is that a general with the wisdom to understand the laws of nature can obtain victory without a physical battle. Simply by understanding the natural, resource, and human terrain of any battlefield both natural and psychological, victory can be secured. A victory secured in this wise way is more long-lasting and provides a social problem-solving solution process, established in the course of the strategy pursued until the resolution, needed to secure a bloodless victory. This established problem-solving process, can carry over to succeeding generations, till a new essential natural and human, social resource fork in the road occurs.
The object of understanding the laws of environmental and human nature in battle can be summed up this way in an analogy. Even if you are stuck in a swamp, you can engineer the terrain for victory. You control the swamp to make it impossible for forces to reach your first line of defense and or attack, without suffering great and obvious losses. You engineer the human intelligence environment to control both enemy and friendly perceptions of your assets and available tactics.
The goal is to win the victory by projecting great real and perceived knowledge, power, and authority, capable of offering greater peace benefits, reducing the will to fight, by convincing the enemy to resolve your position, relative to losses sustained in opposing your position in open battle. You are required to have the knowledge and logistics necessary to reposition forces in your terrain relative to ongoing conditions and position yourself in new terrain at other times, as conditions unfold. Limiting the effectiveness of the enemy to project power by understanding natural human and resource terrain, is often necessary to secure a victory without open battle. It is effective, even against forces with superior capacity to project power. Understanding how natural and human terrain changes in conjunction with seasons and cycles is also important in The Art Of War.
A Natural Ethical Foundational, Machine Learning Directive
I would add programming the ancient books including the rejected ones surrounding the Jewish and Christian literature, ancient, literary, and scientific Sanskrit, and other records from around the world, to include along with the molecular code and the Art Of War, as a foundation for ethical machine problem solving and learning. Learning to resolve terrain according to inherent natural conjunctive human and molecular standards optimizes the utility goal of machine learning programs to effectively accomplish the program’s operational success goals.
Installing a self-correcting machine learning directive tied to unraveling the laws of the electromagnetic energy universe and the molecular code formed from it, starting with our own galaxy, along with natural terrain strategies for problem-solving, and the ancient as well as modern, philosophical ethical literature available to us will advance the use of A.I. It will reduce the risk of generating self-destructive oscillations, in global energy systems affecting everything on the planet along a long-term timeline. A directive of some sort along these lines is a long and short-term, evolutionary necessity, as long as we have the ability to use human energy to generate electrical energy on a global grid.