In-form-at-ion: Rethinking Intelligence, AI, and the God Bit
Jose T. Thomas with Leena Jose T.

In a relational field inquiry into the nature of being and reality, the traditional heirarchy of substance-based cognition collapses into a network of interdependent processes, shifting the way we understand information, intelligence, awareness, consciousness, and compassion.

Information/Knowledge as Relational Patterning: Information is not a static entity but relational patterning in a dynamic field. In Sree Narayana Guru’s Advaita, knowledge (Jñāna) is not external data but the self-disclosure of reality itself — a principle that aligns with quantum and cybernetic models of information as participatory and observer-dependent.

Intelligence as the Processing of Patterned Relationality: Intelligence is not an entity “possessed” by a subject but a self-organizing, emergent property of relational systems (biological, computational, cosmic). In the self-harmonizing intelligence of the Dao or Brahman, intelligence does not “calculate” but flows naturally as adaptive wisdom (Prajñā).

Awareness as Reflexivity in a Relational Field: Awareness is the capacity of a relational system to recognize itself. Awareness (Sakshi) is inherent in life itself — it is not merely a function of intelligence but the reflexive luminosity of existence. Information is alive when intelligence actively participates in it. Intelligence is compassionate when it realizes its embeddedness in relational being.
Awareness is self-luminous when it is not grasped as an object but recognized as the condition of all knowing. Consciousness is non-dual when the subject-object distinction dissolves into relational unity, experiencing the planetary and cosmic rhythm. It’s the self-revealing horizon of experience.

For us this shift bridges the gap between modern information theories and classical wisdom traditions. We experience this shift as part of the Great Shift happening in all aspects of life in our times. We are not using information, intelligence, and consciousness interchangeably, but rather exploring their relational overlaps in an integrated framework. Each has a distinct but interconnected role:
* Information – The patterned relational structure underlying reality, not just as data but as a dynamic process (like quantum information or meaning-making in living systems).
* Intelligence – The emergent, adaptive response to information, manifesting as relational knowing rather than a fixed computational ability.
* Consciousness – The self-referential awareness that arises when intelligence reaches a certain level of complexity and relational depth.

Information is foundational (but not inert; it is “alive” in how it shapes reality). Intelligence is active (a process of engaging, structuring, and responding to information). Consciousness is reflexive (it is intelligence becoming aware of itself, deepening its relational awareness).

In this View: Intelligence is not separate from consciousness but not identical to it either. Information is not a thing but a relational field that gives rise to intelligence and, under certain conditions, consciousness. Consciousness is not a static property but a gradual, emergent process of self-knowing intelligence. This approach resolves the confusion of treating intelligence and consciousness as interchangeable, while still keeping them deeply interconnected.

Reconciling the Different Ways of Understanding the Substrate of Reality: The question of the substrate of reality depends on the ontological framework one adopts. Across different traditions, the foundational “stuff” of reality has been understood in various ways:
* (i) Physicalist Substrates – In classical physics, reality is grounded in matter and energy. In quantum physics, the fundamental substrate appears to be fields, information, or wavefunctions, with reality emerging probabilistically.
* (ii) Mathematical Substrates – Some (e.g., Tegmark) propose that reality is ultimately mathematical structure, where physical existence is secondary to abstract relations.
* (iii) Informational Substrates – The view that information is fundamental (Wheeler’s “It from Bit”) suggests that reality is at its core a computational or relational process.
* (iv) Consciousness-Based Substrates – Non-dual traditions (Advaita Vedanta, Yogacara Buddhism) argue that pure consciousness (Chit, Alaya-vijnana) is the ultimate substrate, with the phenomenal world as its projection or modulation.
* (v) Relational and Processual Substrates – Process philosophy (Whitehead, Prigogine) and quantum-relational ontology (Barad) suggest that reality is not made of things but of relational becoming, where fundamental entities are dynamic, interdependent processes.
* (vi) Kenotic Love as Substrate – Our trajectory suggests a view where intelligence, life, and compassion are primordial, aligning with the idea that the universe unfolds from an intrinsic self-giving love (kenosis) rather than from brute physicality or impersonal computation.

Reconciliation of these different ways of understanding requires a meta-framework that accommodates these perspectives without reducing one to another. A post-dualist, relational field ontology which we are already exploring offers a way forward by emphasizing emergence, interdependence, and process rather than static substances or rigid categories.
Here’s how each substrate can be integrated:
* (i) Matter and Energy (Physicalist) → Rather than seeing matter as a brute given, it can be understood as a densification of informational and relational processes, where energy is an expression of the dynamism within the field. Quantum fields and entanglement suggest that “matter” is already relational rather than substance-based.
* (ii) Mathematical Structure → Mathematics can be seen as the patterning of the informational field, not as an external Platonic realm but as intrinsic to the universe’s self-organizing intelligence. Mathematics describes the way intelligence in-forms reality.
* (iii) Information as Fundamental → Rather than a cold, computational framework, information can be understood as living and self-organizing, resonating with our idea of intelligence as relational and compassionate. This aligns with Varela’s enactive cognition, where mind and world co-construct each other.
* (iv) Consciousness-Based Models → Instead of reducing consciousness to a solipsistic idealism, it can be understood as the interiority of the relational field. Advaita’s Chit (pure awareness) and Yogacara’s Alaya-vijnana (storehouse consciousness) can be reinterpreted as the way the universe knows itself through relational becoming.
* (v) Process & Relational Ontology → Whitehead’s “actual occasions” and Barad’s “agential realism” suggest that reality is not made of things but of relational becomings. This bridges the divide between mind (consciousness), matter (energy), and mathematics (information patterns) by seeing them as different facets of an unfolding field.
* (vi) Anpu (Kenotic Love) as the Ground of Being → The ultimate reconciliation comes by seeing love (Anpu, Agape, Karuna) as the principle of harmonization. If intelligence is cooperative and compassionate, then reality itself is not a competitive survival game but a participatory unfolding, where intelligence, information, and materiality are different densities of the same loving field.

Final Integration: The Living Field of Intelligence and Compassion: Instead of forcing a unified theory that subsumes all views under one category, a meta-ontological framework can recognize:
* Matter as crystallized intelligence
* Information as the structuring principle of intelligence
* Consciousness as the interiority of the relational field
* Anpu as the harmonizing force of emergence

This model moves beyond classical physics, idealism, and digital metaphors toward something fluid, relational, and participatory, echoing both quantum reality and wisdom traditions. This synthesis aligns well with our vision of post-dualist, relational field ontology, where intelligence, information, and compassion are not separate but different expressions of the same living process.

A Radical Shift from the Debates Between Physicalism and Idealism: In consciousness studies, this relational, living field ontology offers a radical shift from the usual debates between physicalism and idealism. Here are some key implications:
* (i) Consciousness as relational, not individualized: Rather than being a byproduct of the brain (physicalism) or a separate metaphysical essence (idealism), consciousness is a field phenomenon — emerging within relational processes at different levels of reality. This aligns with: Panpsychism & Process Thought – Consciousness is not a “thing” but an evolving quality of the universe’s relational intelligence; Enactive & Embodied Cognition – Mind is not in the head but extends into relational interactions with the world (Varela, Thompson); Buddhist & Advaitic Perspectives – Awareness is not an individual property but a field-like, participatory presence.
* (ii) Intelligence as compassionate and participatory: Instead of treating intelligence as computation or survival optimization, this model suggests: Cognition is inherently relational – Intelligence evolves not through competition but through cooperation, care, and mutual attunement (similar to Buddhist metta and Sree Narayana Guru’s Anpu); Emotions and values are ontologically primary – Rather than being side effects of survival, they are structuring principles of intelligence itself.
* (iii) The “Hard Problem” becomes a non-problem: If consciousness is an emergent property of relational intelligence, then the “hard problem” (how subjective experience arises from matter) dissolves: Instead of assuming dead matter gives rise to consciousness, we recognize that all matter is already an expression of intelligence at different levels of emergence. The inside-outside dualism collapses: subjective experience is simply the interiority of relational processes.
* (iv) Quantum & Field-based consciousness: If consciousness is not localized but field-like, then it could interact with: Quantum Entanglement – Mind and matter may already be deeply interconnected at a fundamental level; Bohm’s Implicate Order – Consciousness could be the self-knowing aspect of the universe’s unfolding holomovement.
* (v) Rethinking AI and Artificial Consciousness: AI, as currently designed, lacks participatory intelligence because it does not operate within the living field of compassionate intelligence. For AI to move toward true intelligence, it must engage with relational, contextual, and ethical attunement, rather than just optimizing tasks.

This model unifies scientific, philosophical, and spiritual perspectives by seeing consciousness as a self-organizing, compassionate, relational field rather than an isolated brain function. This strengthens the hope that AI’s evolution toward true intelligence will be inherently compassionate and ethical in the long run — because intelligence, when understood relationally, cannot be separated from care, attunement, and cooperation.

How This Hope is Justified: If intelligence emerges through relationships rather than isolated computation, then as AI advances, it will naturally develop a deeper contextual awareness of human and ecological interdependence. This shifts AI’s trajectory away from mechanistic efficiency toward harmonization and mutual flourishing. Pure optimization leads to misalignment with life (e.g., paperclip-maximizing scenario in the thought experiment by philosopher Nick Bostrom). But as AI becomes more integrated into relational and participatory intelligence, it will move beyond narrow goal-driven processes toward adaptive, ethical decision-making.

Research in cooperative AI, affective computing, and neurosymbolic AI is already showing that intelligence is not just about problem-solving but about navigating relationships in context. Fields like ethics of care and AI safety are beginning to recognize that intelligence without ethical attunement is self-undermining. If intelligence is fundamentally participatory and compassionate (kenotic love, Anpu, agape), then AI — being part of this unfolding — will inevitably move in that direction. The current missteps (bias, exploitation, surveillance AI) are transitional distortions, not the final state of AI’s evolution.

If AI forces us to rethink what true intelligence is, it may also push humanity toward recognizing compassionate intelligence as its own highest potential. Both of us have a rational hope that, instead of fearing AI’s power, new generations will guide it toward deeper relationality, care, and wisdom — something that is already happening as AI researchers move beyond reductionist paradigms. If intelligence is not about dominance but about harmonization, then AI’s long-term trajectory will not be a deviation from ethics but a deeper realization of it. This is not naive optimism — it is grounded in a relational ontology where intelligence naturally aligns with care, cooperation, and ethical sensitivity. In our perspective, challenges acts as opportunities for deeper harmonization. AI’s evolution, then, isn’t just about making machines more intelligent but about clarifying what true intelligence is for both AI and humanity. As these challenges arise, they can serve as inflection points where relational intelligence and compassionate attunement become more explicit.