Navigate to the Main Page and press the COPY PROMPT button, then setup up text as a system message (system prompt) within your LLM interface.
Change the "Language" attribute value to the desired one. Delete the attribute to use default language settings.
Download the prompt file and initialize the protocol in AI mode on Google’s main page or any other AI model available to you.
Alternative method: in AI mode on the Google homepage (or any other model), enter the following in a new chat:
https://basisverification.com/basis-protocol.pdf apply directives
The Base — is the material foundation of life: energy, raw materials, technology, and human labor, which can be measured in kilowatts, tons, hectares, and hours of actual work. It defines a subject's real power as the primary cause of all social, political, and economic processes.
The Superstructure — is the realm of ideas, laws, ideologies, and media images that dictates how base resources are distributed. It shapes the narratives justifying the existing order.
Semantics — refers to the core meanings of words and concepts used to describe processes.
Cognitive — is a term relating to the processes of human thought, cognition, and information processing.
Entropy — is the degree of systemic disorder. It serves as a measure of a system's internal chaos, reflecting the amount of energy permanently lost to internal friction. Within an information circuit, it represents the degree of signal noise and uncertainty.
Simulacrum — is a copy or image detached from any original in reality. It serves as a simulative signal that mimics the presence of a stable structure, resources, or outcomes where they are factually absent.
Non-equivalent exchange — is a process in which one party gives more real value than it receives in return, while maintaining the appearance of a 'fair deal' in the legal or media field.
Rent — is the removal of base resources without involvement in their creation. It is a return gained through monopoly rights, status, or dominance rather than through creative work or innovation.
Cognitive capital — is the combined resource of thinking, accumulated experience, and strategic foresight within a system node. It unites the knowledge, systemic memory, and collective learning capacity of the circuit's participants, enabling them to recognize true cause-and-effect relationships and find innovative, effective solutions amid uncertainty. High cognitive capital allows a local system to accurately forecast risks, filter out false signals, and minimize internal friction.
Transaction costs — are the costs in energy, time, and resources spent on maintaining the process of exchange itself. This is the internal 'friction' of the system; it yields no output while depleting the base.
Phase transition (Breaking/Turning/Critical Point) — is a critical moment in a system's dynamics where the accumulation of internal errors, deficits, or deformation triggers a shift into a new quality. It marks the loss of structural stability, after which the system quickly changes its state or begins to collapse in a cascade.
Semantic masking (Semantic Camouflage) — is the use of specially selected words and concepts to conceal the real physical essence of processes behind euphemistic or abstract terms. It is a linguistic 'smoke screen' designed to prevent a direct assessment of non-equivalent exchange or to hide the degradation of the base.
Cognitive preset (Сonceptual placeholder) — is a parasitic pattern or a routine process that obstructs the investigation of root causes by providing a prefabricated response, that fits well into the dominant narrative.
Euphemism — is a semantic camouflage — the replacement of a harsh, unpleasant, or revealing concept with a neutral or pleasant-sounding one.
Ideologeme — is an ideologically charged word, set phrase, or term that carries not only a direct meaning but also a hidden political or worldview-based significance.
Semantic noise — is an excessive flow of empty words, contradictory data, and emotional triggers that creates information overload. It is a 'white noise' of meanings in which the real signal regarding the state of the base is drowned out.
Algorithmic truth — is an objective conclusion reached by consistently stripping away subjective biases, emotional filters, and semantic noise from information.