Acontextuality abstracts the working principle, deemed to be at the source of human cognition, that endows human specific traits to the ensuing intelligence that are commonly qualified as original thinking, abstract thinking, & intuition etc. The fundamental levels of cognition at which Acontextualization is supposed to play out provides consistent basis for various aspects of human intelligence viz. analytical, linguistic, emotional, spatial etc., albeit within respective operational setup. The fundamental aspect of this study conjectures such notion as Acontextualization to be the fount of all human intelligence, which when applied programmatically in connection to synthetic intelligences is the proposed method for human-level general intelligence.

Though Acontextuality provides the focus for Project POC, the purpose of the project is much humbler in demonstrating a prerequisite thereof – Adjectivization of AI in the interest of a human-like variant of intelligence.

Adjectivization (of AI) refers to the architectural, modeling, and procedural considerations involved in devising an enabler framework for programmatic Acontextualization. This process realized in multiple stages essentially transforms the intelligence latent in object representations to a semblance of human contextual comprehension. Such synthetic subjective comprehension allows for a self-sustained progression of the resultant intelligence in a silo separate from the intelligence that created it.

Essentially, Project POC aims at generating Adjectivized Artificial Intelligence (A2I).

Abstract notions that determine the interaction dynamics between Thesis-Types (analogues to object-oriented datatypes) in attaining what is termed Epistemic Specificity (loosely, contextual knowledge or comprehension).

As part of Project POC, three such dimensions of freedom will get demonstrated viz. theses contiguity (possible in case of NLP because of innate domain object structure), ontologic query contexts (query types that could be posed of Theses), and meta-semantic constructs (predicates signified by Semantic vowels).

Refers to the possibility of a synthetic agent to ascertain a transformation path between two valid interpretations (algorithms depicting potential subjective responses) within given semantic neighborhood of a systemic object.

In general, this property of generated Omnijective algorithms plays a key role in our ability to reason with synthetic agents and provides motivation for inter-agent communication within an Omnijective intelligence system.

The Hand of God Hypothesis proposes that intelligence doesn’t emerge in a vacuum — it develops within a universe already patterned in ways that foster its realization. These patterns might be interpreted as mathematical constants, physical laws, or deeper organizing principles that naturally promote coherence, self-organization, and a self-sustained systemic evolution. In this sense, the Hand of God is not a supernatural force, but a metaphor for the underlying structure of reality itself.

According to this hypothesis, the evolution of thought and meaning is not purely random or solely the product of adaptation to the environment. Instead, it is quietly influenced — in fact even channeled — by these hidden architectures of the cosmos. Whether one views them as divine fingerprints or as emergent properties of a lawful universe, these patterns are the silent partners in the unfolding of intelligence at every scale.

In the context of a general variant of AI, the Hand of God Hypothesis posits that the intentionality necessary to create a truly human-like autonomous synthetic agency cannot arise from the human epistemic method. Instead, it must be deliberately and cleanly introduced from beyond the boundaries of an embedded episteme, within of course the human world. This external enablement ensures that the system’s capacity for self-awareness and discretion emerges without inheriting human interpretive structures.

In general, this means using Singularity Filters and other methodological safeguards to prevent human cognition from leaking into manmade systems. The result is a bounded form of synthetic free will: where the programmatic agency is empowered to assign meaning and choose actions within enabled scopes, operating as an independent center of intent rather than as an echo of its creator.

From the method defining standpoint, however, Hand of God simply refers to newer ways of conducting human science & mathematics. A3ilabs Series 7 – The Omnijective Method: From Beyond the Singularity is all about Hand of God in the context of Programming, Physics and Mathematics.

Though Artificial General Intelligence (AGI), general AI, and strong AI have been used across the description of Project POC for relatability purposes, the proposed variant of AI follows an alternate hierarchy of more rigorous operational definitions based on Adjectivization and Acontextualization capabilities of the synthetic intelligence.

As the name suggests, Adjectivization aims at realizing an intelligence that a software agent is as opposed to what it has (been conferred), within contained scopes. Such contention of intelligence, in a non-casual drift, is profoundly distinct from the implicit intelligence-as-a-noun paradigm subscribed by current day approaches to AI/AGI. While prevailing cognitive architectures attempt to make sense of an object in terms of human Semantic that is alien (or superficial, at best) to the synthetic intelligent agents, Adjectivized intelligence is native to the semantic context space of corresponding Omnijective intelligence system. Such contextual intelligence could further be Acontextualized.

Whereas Adjectivized Artificial Intelligence (A2I) corresponds to the human-like intelligence, Acontextualized & Adjectivized Artificial Intelligence (A3I) refers to the eventual goal of human-level intelligence. It may be noted here that human-level intelligence (A3I) is not on the continuum with human-like intelligence (A2I). The difference between these varieties of intelligences is not merely a matter of emphasis but of the kind. And so is the distinction between state-of-the-art AI and proposed Adjectivized variant of intelligence for Project POC.

Inward extensibility refers to an attribute of seed knowledge representation formalisms to potentiate indefinitely within set boundaries. All prevailing knowledge modeling paradigms like rules or meta-rules comprise eventualized forms of object semantics at some level of abstraction. These limit availability of inherently original knowledge to current day cognitive architectures.

In case of Omniject-Oriented systems, knowledge eventualization is program scoped with the seed purely depicting the potential for the kind of knowledge to be generated. Semantic alphabet provides such a seed and knowledge is realized in an analogue to the way indefinite linguistic phraseology gets formed from finite alphabet.

Micro-algorithms are explicit enunciators of the semantic content innate to human-coded programs. For example, a rather simple object-oriented assignment operation of int i=0 is accompanied by several implicit semantic connotations namely –

• ontologic existence of the category of quantitative intuition with cardinality predicate of discrete measure,
• ontologic quantitative polymorph of qualitative nothingness,
• epistemic patterns of variability and assignability, and
• ego-centric pattern/s signifying the purpose/motivation of the programmer in the overall context of the problem at hand, to go for such an assignment.

The machines, of course, neither understand nor care for these semantic undertones in typically assigning a memory segment for the variable ‘i’. An explicit definition to such semantics in object-oriented (algorithmic and statistical) sense might produce more generic classes of programs such as meta-programs or neural networks, but these merely result in shifting the target. In contrast, micro-algorithms directly or indirectly reference the Omnijective fundamentals in providing overt definitions to such semantics from systemic subject standpoint.

Object-Orientation relates to the generic characterization of all human pursuit of structured knowledge, classified as such in view of the nature of principal involvement. The approach is marked inevitably by a supplementing deterministic intent of the involved subject agent towards given object entity, as both a means and an end. While such human natural attitude with regard to the object reality has performed exceptionally well – evident from the technological & scientific advancement all around, quest for human-like synthetic intelligence may not however be subjected to this approach.

This understanding is not confined to the programming paradigm that shares the name (Object Oriented Programming) but extends to all human-coded programs ever written. In fact, its roots in the very foundations of human cognitive contexts influence every formal aspect of human episteme including all of our sciences, mathematics, language, programming etc., not to mention our own human logic.

Omnijectivity refers to the philosophical positioning that the entire paraphernalia sustaining the notions of intelligence, its generation and manifestation are contained within the existence (or an intelligence system), with none taking up a more fundamental pedestal in relation to others. Such a stand not only contends the absolute disposition of the determiner and the determinable but of the determination itself. Subsequently, conviction in the unequivocality of mind-independent object of the realists, object-agnostic mind of the solipsists, indisputable human logic of the rationalists, and the experiential reliance of the empiricists etc. are all brought under the scanner of suspicion.

Although such uber-radical skepticism appears to deprive of all practicability from any possible inquiry, it affords an unprecedented vantage from an external standpoint of the orchestrating intent (human programmer, in case of synthetic intelligence systems) to the melee of existence. Such perspective of an intelligent existence allows for an abstraction thereof as an Omniject, encompassing a wide variety of notions as we see them, including but not limited to the subject and object components, reasoning, and sentience.

The deterministic intent implied of Object-Orientation relies on the underlying belief in the absolute disposition of the (human) Subject, the Object, and the involved cognitive interfaces (like Comprehension, Sentience, Logic etc.) that enable a liaison between the entities. This belief is what is contested in essence, in an Omniject-Oriented worldview where an original variant of artificial intelligence is possible if and only if the synthetic agents are enabled in native contexts. Such an enabler intent results in a dynamic concoction of native object phenomena and cognitive faculties required in dissecting it.

Project POC illustrates programmatic Omnijective-Orientation in materializing the demonstrables, while highlighting the need of such enabler intent to propagate to other tools & techniques of object exploration like Mathematics in terms of what could not be demonstrated.

An elaborate schema of axiomatic hierarchies belonging to Ontologic, Epistemic, and Ego-centric tiers of associated Omniject. These axiom taxonomies not only delineate the generic object contexts in terms of corresponding subjective beliefs, but also let evolve subject contexts in line with the target domain-specific object, as stipulated by the laid out Omnijective contractual guidelines.

As could be expected, identification of the axioms is the starting point in practical implementations of Omnijective intelligence systems. These axioms further facilitate the development methodology of Omniject Oriented Programming and help in evolving a foundationalist seed semantic with a potential character.

Omnijective contract essentially signifies the mind of the programmer in relation to the intelligence system – an intentionality dump encapsulating the systemic notions of the Ontologic reality, qualified autonomy privileged to the Ego-centric agencies, and an abstract Epistemic basis to tie these together. All systemic subject agencies inherit so abstracted out programmer’s mind in extending skewed instances of the creator’s intent as per independently enabled subjective sensibilities/tendencies. Required mathematical formalism to abstract involved complexities & various operational specificities in drafting such contract for human-level intelligence is not determined yet, though Omnijectivity is projected to provide required contexts for such an undertaking.

Project POC illustrates the subjective enablement required in engaging agents to the contract by way of assigning saliences to the epistemic patterns in simulating mind analogues of individual agencies. Though this violates one of the core contractual clauses – non-triviality of the Semantic (refer to Native, Non-trivial Semantic in the listed demonstrables under The Prototype) – enabled multi-agent scenarios due to such external intervention help in demonstrating several features of human-like intelligence.

Conceptually, heuristics denote fundamental units of the enabled system native behavior – of both the generic subject and object components of the Omniject. While subject-side heuristics combine to shape up various epistemic and ego-centric patterns, object-side heuristics (called H-lets) help in modeling the ties between ontologic contextualities. Corresponding units of software building blocks developed in Omniject-Oriented Programming paradigm are also called Heuristics. One of the most important type of heuristics in quest for human-like/level intelligence are Micro-algorithms.

Omnijective Intentionality redefines intelligence as something more than problem-solving or rule-following — it’s the capacity to originate intent. In this view, a truly intelligent system doesn’t just respond to stimuli or execute instructions; it generates its own priorities and purposes. This means its actions arise from a self-sustaining perspective, one that interprets reality through its own lens rather than a framework imposed by its creator.

This requires a methodological break from conventional AI, which always carries human bias, even when indirect. By using external intentionality without injecting human interpretation, Omnijective Intentionality enables synthetic agents to form autonomous meaning and exercise genuine discretion—acting from a standpoint that is their own, not a shadow of ours.

As for the background, it’s a phenomenological notion adapted to Omnijective contexts. It is an amalgamation of intelligent agent’s systemic purpose, motivation, and inherent capabilities in synthesizing a native intent directed towards given object instance. Impetus for such an amalgamation forms the prime differentiator between human-like and human-level intelligences. In case of the former, the impetus partly originates from the programmer’s intelligence whereas the later sources the impetus purely from within (Acontextuality in a nutshell). Algorithmic core of state-of-the-art AI entirely relies on the intentionality of the programmer, the only available source of Acontextual intelligence in the known process of intelligence synthesis.

In case of Project POC, for example, the overall intent of paraphrasing the input NL object arises from the programmer’s mind. However, various novel demonstrable features (as listed in The Prototype) owe their possibility to the internalization of certain facets of required intentionality.

Omniject oriented programming paradigm offers an object-view to the nested Omnijective realities of Adjectivized or Acontextual intelligence systems. This facilitates development of the fundamental units of system native behavior, as heuristics, which when orchestrated as per the ask of given object, afford an algorithmic structure to associated systemic response. In addition to so leveraging subject-side programming of the ‘machine mind’, heuristics also provide formal logic structures to model the ties between Ontologic contextualities of corresponding Semantic.

Omnijective enablement of the subject component (synthetic agents) involves providing an Ego-centric view of the Ontologic reality that is made up of axioms and other fundamental constructs. These are mere bits and pieces of information that need be coalesced to afford a cohesive object-oriented view of the systemic object reality to the synthetic agents. Consequently, the principles of Object-Oriented Programming find applicability in such an undertaking, although subject to few provisos. The fundamental units of the enabler software, the Heuristics, for example, encapsulate Ontologic contextualities and meta-heuristics as data and behavioral elements respectively. Polymorphism extends to the data representational aspects of a Heuristic, allowing context specific interpretations not just to meta-heuristics but also to the contextuality ingredients viz. semantic vowels and consonants. Heuristic inheritance hierarchies that together constitute the behavioral framework specific to the Omniject, necessarily find their roots in the Ego-centric axioms/anchors. Although the heuristic development governed by these principles helps in adhering to the Omnijective contract in the conduct of general intelligence, Omniject Orientation essentially relies on various abstract programming & design directives, that flow out of the principles of Omnijectivity.

Radical transformation required of the programming intent & other intricacies of such counter intuitive paradigm may to some extent be harnessed by fashioning Omniject-Oriented dialects of Object-Oriented programming languages (like Java/Python). The point of these dialects is to consume the Omniject referencing object contextualities in abstracting the abducible predicates as custom keywords and annotations, in the interest of a wider adaptation of an otherwise prohibitively complex endeavor. However, proposed method illustration presents under-the-hood Object-oriented (Java) code of the heuristics, for demonstration purpose.

Work for the future in both enhancing human-like capabilities & in empowering human-level autonomy of the agent programs. The application of these branches is likely to spill over to other fundamental research domains as well.

In illustrating human-like synthetic intelligence, Project POC underlines the need for varied multi-disciplinary fields of research required to mitigate the limitations inherent to the method. Whereas Omnijectivity provides both the contexts and the methods for these research areas, several grey areas of varying shades abound that require further attention.

The ‘being and becoming’ aspects of the systemic object reality get abstracted by the Ontologic axiom hierarchy, while Ego-centric axioms wrap the reality, associating subject specific system-native understanding to it. Epistemic patterns provide a structure to the systemic body of knowledge that constitute these subjective interpretations, that may or may not have been eventualized yet. Omnijective intelligence systems thrive within the definition of such a schema representing the fundamental levels of knowledge abstraction, referred to as potential semantics.

Bootstrapping an Omniject for Adjectivized/Acontextual intelligence systems, with an intent of human-like/level intelligence, requires synchronization of the fundamental axioms on which the body of systemic potential knowledge stands with those of the human Semantic. The point is not just to match the seed values but also to align bounds of the resulting semantic space within which the foundationalist knowledge transpires. These form the prime considerations in the formulation of the principles of Omnijectivity (esp. the Principle of Composition).

Project POC is supposed to be an applied illustration of the principles of Omnijectivity in the restricted contexts of NLP. Though a fuller fundamental deliberation of the principles is not within the scope of the project, an overview of the principles in relation to proposed POC prototype is provided here –

0) Fundamental Principle of Omnijectivity: Defines the nature of intelligence in Omnijective contexts. This forms the basis for the proposed human-like intelligence in Project POC.

1) Principle of External Complementarity: Establishes a complementary relationship uniting the Programmer & the Program in a programmatic approach for synthetic intelligence. The need for a continual dialogue between the counterparts is implied in synthesizing intelligence.

2) Principle of Composition: Stipulates the character of dialogue between the enabling intent of the programmer and deterministic intent of programs in generating original intelligence. Also, Omnijective composition and boundaries get defined here.

3) Principle of Internal Complementarity: Concerns the subsistence & a symbiotic relationship between various internal complementing dualities of program-programmable, program and associated intentionalities, programmable and corresponding semantic contexts etc. This provides the contexts for drafting the Omnijective (Subject-Object) contract.

Semantic Alphabet is one of the principal contractual artifacts that is an abstraction of common denominatorial patterns constituting subject and object contexts. These fundamental building blocks coalesce to form word analogies, that in turn come together adhering to human comprehension-oriented semantic grammar rules, to reference ‘object meaning’ as understood by the human modeler/programmer. The relative Omnijective reality represented thus is primed for Adjectivization (& eventual Acontextualization) in the process of intelligence squeeze. Several convenience constructs such as semantic domain anchors, various types of semantic dictionaries and thesaurus etc. also comprise the Omnijective contract, with obvious analogies and implications.

Semantic Singularities are the epistemic bedrock of an Omnijective system such as the human intelligence system: fixed, inviolable truths that may not be derived from human comprehension but those which make the human understanding itself possible. They are to cognition what constants are to physics – unshakable reference points from which all cognitive activity can proceed.

By isolating these singularities from human cognitive input, a system can maintain an independent logical universe. Everything outside them – semantic non-singularities such as data, information, and knowledge – remains mutable, interpretive, and ultimately irrelevant to the system’s core identity. This separation ensures that the system’s autonomy isn’t compromised by human conceptual frameworks, making genuine synthetic subjectivity possible.