NISI

 NATURAL INTELLIGENCE (NI) 

& SUPERINTELLIGENCE (AI ->SI)

What a 100-Year-Old Banyan Tree Teaches Us About Nature’s Intelligence and the Future of AI

A Humble Reflection on How One Living Tree - and the Vast Cosmos Beyond - Can Guide Us Toward a More Harmonious Artificial & Superintelligence (ASI)

"Katrathu Kai Mann Alavu, Kallathathu Ulagalavu"  (கற்றது கைமண் அளவு, கல்லாதது உலகளவு) — Avvaiyar, Legendary Ancient Tamil Poet & Philosopher "What one knows is merely a handful of sand; what remains unknown is the size of the world."

ENVIRONMENT • BIOLOGY • DATA •  NATURAL INTELLIGENCE 

• ARTIFICIAL INTELLIGENCE • SUPER INTELLIGENCE

Artificial Intelligence is advancing at extraordinary speed. Large language models can write, reason, generate images, analyze scientific information and increasingly operate as agents. The next frontier - Artificial Super Intelligence, or ASI, is often imagined as a system capable of surpassing humans across virtually every intellectual task.

But there are deeper questions:

What if becoming more intelligent does not mean that we have conquered intelligence?

What if our most advanced AI systems are still only scratching the surface of a much larger phenomenon that has been developing for billions of years?

Nature has been sensing, processing, adapting, communicating, evolving and optimizing information long before humans built computers.

A forest is an information network. A soil ecosystem is an information network. A microbial community is an information network. A microbial community is an information network. A human brain is an information network. And even a single tree is an extraordinary biological information-processing system. 

A 100-year-old banyan tree; Why choose a Banyan tree - because it is not only a majestic tree that has roots coming from above (Aerial roots), but also in many cultures banyan tree has enlightened several enlightened masters who meditated under the great tree:

Data we can get - Height, Canopy size, Trunk diameter,  Biomass, Carbon storage,  Root structure,  Age and such parameters. However,  we can ask a very different question: 

How much information has this tree processed during its lifetime? 

The question changes the way we see the tree, what about these information with more data -  Wind, Temperature changes, Soil chemistry, Carbon dioxide, Nutrients, Fungi, Bacteria, Insects, Birds, Pathogens, Animals, Human activity, Seasonal cycles, and countless other biological and environmental signals.

It did not merely "exist" for 100 years. It continuously sensed, responded, adapted, grew, reproduced, repaired and interacted. A banyan began as a seed and then spent a century continuously interacting with its environment. It experienced Sunlight, Rain and Drought.

A thought experiment attempted to translate some of this biological activity into digital-data equivalents. The result is difficult to comprehend, and that is precisely the point.

From AI to SI: The Human Tendency to Think We Have Arrived - There is an interesting pattern in human technological history. Whenever humans master a new technology, we tend to expand our perception of what is possible.

The telescope changed our understanding of the universe, The microscope revealed an invisible biological world, Computers transformed information processing, The internet connected billions of people, Modern AI is now transforming how we interact with knowledge and computation and ASI could potentially represent another enormous leap.

An ASI system, if developed, could potentially perform intellectual tasks at levels far beyond individual humans. But there is an important distinction:

Surpassing human intelligence would not necessarily mean understanding all intelligence, Human intelligence is only one form of intelligence, Artificial intelligence is another, But nature contains forms of information processing that did not originate in computers.

They originated through evolution, chemistry, physics, biology and ecological interactions over immense periods of time. Humanity has existed for a tiny fraction of Earth's history. Modern computing has existed for an even smaller fraction. Modern AI occupies only a tiny sliver of that timeline. Nature has had billions of years to experiment.

Evolution can be viewed from an information perspective. Every generation carries biological information forward. Mutations introduce variation, Environmental conditions create selection pressures, Organisms respond, and Ecosystems interact. Successful adaptations persist. Other adaptations disappear. This process has been running continuously for billions of years. There was no central engineering team. No database administrator, No GPU cluster,  No programming language, and No cloud architecture. Yet extraordinarily complex systems emerged.

Considering a banyan tree, It must coordinate:
Water transport, Nutrient acquisition, Photosynthesis, Growth, Root development, Leaf development, Reproduction, Defense, Repair, Seasonal responses, Environmental stress responses, Interactions with microorganisms, Interactions with insects, animals and it does this without a conventional CPU.

The banyan is therefore an intriguing challenge to our definition of intelligence.

A 100-Year-Old Banyan: A Digital Thought Experiment -

Our model used deliberately simplified assumptions to translate biological activity into hypothetical digital information.

For example, the Ficus benghalensis genome is roughly 382 million base pairs. A simple two-bit representation corresponds to approximately 100 MB of sequence information. We then considered an illustrative mature-tree assumption of approximately: 10¹⁴ cells - around 100 trillion cells. If each cell were represented by only 1 KB of hypothetical digital state, one instantaneous cellular representation would approach: 100 petabytes.

But this number must be interpreted carefully. It does not mean that a banyan literally stores 100 PB of unique digital information. The genome is repeated across many cells, and a digital representation is not equivalent to biological information. The number is useful as an order-of-magnitude thought experiment showing how rapidly the representation becomes enormous when biological state is considered at just cellular scale. And that is only the beginning, The Leaves Are Not Just Leaves, Imagine a large banyan with approximately 10,000 square meters of leaf area; Using an illustrative average leaf area of 0.015 square meters gives approximately: 667,000 leaves at a given time. If we use a simplified six-month average leaf lifespan, the tree could experience roughly: 133 million leaf instances over a century -  Again, this is a modeling assumption, not a measurement of one particular banyan.

But think about what every leaf experiences - Light intensity, Carbon dioxide, Temperature, Water availability, Humidity, Nutrients, Physical damage, Pathogens, Insects, Wind, Time of day, Season and many other parameters. 

The leaf is not merely a solar panel, It is part of a living sensing and response system. 

A Century of Environmental Information:

Now imagine that instead of trying to store every biological event, we simply recorded environmental variables around the tree. Suppose 1,000 variables were sampled once every second for 100 years. That produces approximately: 3.16 trillion measurements, At only four bytes per measurement, that represents approximately, 12.6 TB before timestamps, metadata, higher precision, spatial information or additional biological variables are included.

This is fascinating because we have barely described the tree. We have not reconstructed every cell. We have not reconstructed every molecule. We have not recorded every microorganism. We have not mapped every root interaction. We have not captured every chemical signal. We have not represented every neural or electrical signaling process. We have simply created a simplified environmental data stream.

Then Comes the Hidden Microbial World:

Perhaps the most fascinating part of the banyan is what we cannot easily see. Its roots exist within a biological community. Bacteria, Fungi, Other microorganisms, Soil organisms, Chemical gradients, Water movement, Nutrient exchange, Pathogen interactions, Root-associated biological processes, The tree is therefore not an isolated organism, It is part of a distributed ecological network.

If we attempted to record millions of interactions per day over a century, the data could already reach terabyte scales. At molecular and individual-microbe resolution, the representation could potentially become vastly larger - into petabyte or even exabyte territory depending on what is being represented.

Our original model summarized this hierarchy approximately as:

Digital representation| Illustrative scale

Genome + basic physical history| GB–TB

Detailed biological digital twin| TB–PB

Cellular / molecular / ecological reconstruction| PB–EB+

These are modeling ranges, not measured quantities. But Data Is Not the Same as Intelligence

This is where the discussion becomes much more interesting. A petabyte of data does not automatically equal intelligence. A database containing billions of measurements does not necessarily understand anything. Likewise, the banyan does not have a hard drive containing a century of environmental records. The distinction is fundamental:

Data ≠ information ≠ knowledge ≠ intelligence.

A tree's biological state is distributed throughout its structure.

Information is encoded in molecular configurations, cellular states, chemical gradients, electrical and physiological signals, growth patterns and interactions with other organisms.

Some information is persistent, Some disappears, Some is transformed, Some is transmitted, Some influences future behavior, And some becomes part of evolutionary history, This means our digital estimate may actually be describing only a tiny representation of what the biological system is doing.

What Happens When We Compare AI With This? Modern AI systems are extraordinarily impressive. They can process enormous datasets. They can identify patterns. They can generate hypotheses. They can write software. They can reason over documents. They can recognize images. They can operate tools. They can help scientists explore complex problems and future AI systems may become dramatically more capable.

But we should ask: Are we measuring AI against human intelligence, or are we measuring it against Nature?

If the comparison is only against humans, AI progress can appear almost limitless.

But if we expand the comparison to Natural Intelligence, the scale changes.

A human-designed AI system may have billions or trillions of computational operations per second.

A tree operates through countless biological processes simultaneously.

A forest contains millions or billions of organisms. A soil microbiome contains enormous numbers of microorganisms. An ecosystem continuously exchanges matter and information. And all of this is embedded within planetary processes.

The comparison becomes almost impossible.

1. Natural Intelligence (NI) Curiosity

The recent progress in Artificial Intelligence is truly remarkable. Modern neural networks can compose music, assist doctors in diagnosing diseases, write software, and help scientists explore complex physical phenomena. As we look toward the horizon of Artificial Super Intelligence (ASI), it is only natural to feel excited about what humanity can build.

Yet, whenever we make great strides in technology, wisdom asks us to pause and reflect with intellectual humility. Human computing is scarcely eighty years old. Modern deep learning has been with us for barely two decades. In contrast, Natural Intelligence (NI) has been quietly sensing, adapting, self-organizing, and optimizing life on Earth for 3.8 billion years.

As the revered ancient philosopher Avvaiyar observed with timeless grace, what we have learned so far is merely a single handful of sand. What remains to be discovered is the size of the infinite universe. Recognizing this is not a criticism of human achievement - it is an inspiring invitation to wonder. When we look at Nature with genuine humility, we realize that our current AI has only scratched the surface. To begin understanding that depth, we can simply walk over and sit beneath a 100-year-old banyan tree (Ficus benghalensis).

2. A Living Biological Supercomputer: 

The 100-Petabyte Banyan

From a 100 MB Blueprint to 100 Petabytes of Living State: The banyan genome contains ~382 million base pairs. At two bits per base, the master genetic sequence requires only ~100 Megabytes (MB). Yet from that modest seed emerges an organism of 100 trillion living cells (10¹⁴). Assigning a conservative 1 KB of digital data to represent the dynamic physiological condition of each cell, a single instantaneous snapshot of the tree represents approximately 100 Petabytes (PB) of biological information.

133 Million Distributed Edge Sensors: Across a 10,000 m² canopy, the tree sustains roughly 667,000 active leaves at any moment. Over a century, assuming a six-month average leaf lifespan, it deploys, operates, and recycles over 133 million leaves, each acting as an autonomous edge sensor tuning stomata, photon flux, and chemical defenses.

Subterranean Mycorrhizal Internet: Roots engage with trillions of fungal hyphae and bacteria, executing billions of daily biochemical handshakes, trading carbon for minerals, broadcasting pathogen alerts, and redistributing moisture across soil horizons without a single central CPU.

3. The Cosmic Expansion: From One Tree to the Multiverse

All of this extraordinary complexity belongs to just ONE tree. Consider what happens when we scale outward:

1. An Old-Growth Forest: Millions of interconnected trees coordinate drought resilience, regulate regional rainfall patterns, and harbor millions of species through a vast subterranean Wood-Wide Web.

2. The Living Earth (Biosphere Supercomputer): Over 8.7 million species and planetary ocean-atmosphere loops continuously balance climate, atmospheric oxygen (21%), and life-support cycles -processing an estimated Yottabytes (10²⁴ bytes) per second.

3. The Observable Universe: 2 trillion galaxies hosting 10²⁴ stars, quantum fields, and gravitational networks continuously update their states - an unfolding cosmic computational continuum (John Wheeler’s 'It from Bit').

4. The Multiverse (Theoretical Frontier): In modern theoretical physics, our universe may be one bubble in an infinite Multiverse, computing reality across boundless variations of physical laws simultaneously.

Scale of System	Physical Scope & Dynamics	Informational Scale	Resource Relationship
Current AI & LLMs	Silicon GPU clusters; statistical text & image token interpolation	Terabytes – Petabytes	Resource-Intensive
A Single 100-Yr Banyan	100 trillion cells; 10,000 m² canopy; 133M leaf lifespans; microbial internet	~100 Petabytes (State)	100% Regenerative

Old-Growth Forest	Interconnected wood-wide-web; regional climate and precipitation balance	Exabytes (EB)	Self-Balancing Biome
Earth's Biosphere	8.7M species; global ocean-atmosphere dynamics; planetary thermostat	Yottabytes / sec (10²⁴)	Closed Circular Loop
Observable Universe	2 trillion galaxies; 10²⁴ stars; quantum fields; general relativity	Cosmic 'It from Bit'	Thermodynamic Conservation
The Multiverse (Theoretical)	Infinite dimensional quantum landscapes & parallel bubble realities	Infinite State Space	Boundless Reality

Old-Growth Forest	Interconnected wood-wide-web; regional climate and precipitation balance	Exabytes (EB)	Self-Balancing Biome
Earth's Biosphere	8.7M species; global ocean-atmosphere dynamics; planetary thermostat	Yottabytes / sec (10²⁴)	Closed Circular Loop

4. The True Meaning of Superintelligence: Learning Coexistence from Nature

When we reflect upon this cosmic hierarchy, our definition of Artificial Super Intelligence (ASI) naturally deepens. True intelligence is not only about processing speed or software benchmarks, it is demonstrated by how elegantly an intelligent system coexists with, supports, and sustains the living world around it.

The banyan runs entirely on ambient sunlight and rainfall. It cools the local microclimate by 5°C to 8°C. It shelters thousands of living organisms. And when it completes its long life, it is 100% biodegradable, enriching the soil and feeding future generations of life. It gives back far more than it takes.

Dimension	Current Digital AI Infrastructure	100-Year-Old Banyan Tree (Natural Intelligence)
Energy Source	Relies heavily on centralized electrical utility grids	100% ambient solar photons captured via photosynthesis

Cooling & Water	Consumes freshwater in evaporative cooling towers	Zero potable water waste; transpires vapor cooling air by 5–8°C
Hardware Lifespan	Chips and servers replaced every 3 to 5 years	Thrives for centuries (100–500+ years), growing more resilient
End-of-Life Footprint	Generates electronic waste requiring complex recycling	100% Biodegradable; enriches topsoil and feeds future life
Ecological Relationship	Consumes physical resources to generate computation	Regenerative: Keystone sanctuary supporting thousands of species

5. Inspiring Future AI: The Noble Path Toward True Superintelligence

Recognizing how much Nature has to teach us is an inspiring call to aim much higher in AI and ASI: 

Nature does not treat security as a separate feature added after a system is built. In living systems, identity, protection, resilience, adaptation and recovery are integrated into the architecture itself. A banyan provides a useful conceptual model for exploring how these principles might inform future AI systems and data-center infrastructure.

Natural security mechanism	Banyan / Natural Intelligence	AI & data-center principle

Identity	Genetic information establishes biological identity and continuity.	Digital identity: cryptographic identities, certificates, device/service authentication.
Access control	Cell membranes regulate what enters and leaves cells.	Zero-trust access: authenticate and authorize every user, service, API and data request.
Threat detection	Cells sense pathogens, chemical changes and environmental stress.	Continuous threat detection: anomaly detection, monitoring and AI-assisted security analytics.
Isolation	Damaged or infected areas can be contained or compartmentalized.	Segmentation: isolate workloads, networks, accounts and compromised systems.
Redundancy	Multiple roots, branches and growth points provide resilience.	Fault tolerance: redundant servers, storage, power, networking and geographic locations.
Self-repair	Living tissues can respond to injury and initiate repair.	Self-healing infrastructure: automated recovery, failover, patching and restoration.
Adaptation	The tree continuously adjusts to changing water, light, temperature and other conditions.	Adaptive security: dynamically adjust defenses to emerging threats and conditions.
Distributed control	No single central 'processor' controls the entire tree; functions are distributed throughout the organism.	Distributed architecture: decentralized services, controls and decision-making with no single point of failure.
Feedback	Chemical, hormonal and environmental signals continuously influence biological responses.	Closed-loop security: monitor → detect → analyze → respond → learn.
Evolution	Protective and survival mechanisms accumulate through generations.	Continuous learning: improve models, controls and architecture from new threats and experience.

Key insight: Nature's security is not a separate layer added after the system is built. Security, resilience, adaptation and survival are integrated into the architecture of the living system itself.

That provides a powerful design question for future AI: Can we build AI systems and data centers that are not only intelligent and secure, but also resilient, adaptive, self-repairing and environmentally compatible, much like Natural Intelligence?

1) Developing biomimetic and neuromorphic computing that operates on milliwatts like the human brain and banyan tree; 

2) Creating eco-intelligent, closed-loop data centers powered by 100% clean energy with zero water waste; 

3) Training AI on the living signals of our planet (eDNA, canopy spectroscopy, soil microbiomes) to preserve biodiversity; and 

4) Using AI as a scientific microscope to decode the deepest mysteries of the universe.

We should biomimicry nature (NI) in AI & SI, which will not only help current Earth Inhabitants but also Future Inhabitants. 

As Climates change and if proper methods are not taken into consideration, the future generations would end up living in harsh environments. They may be living in climate controlled biodomes:

The World May Be Underestimating AI's Environmental Cost

Global data-center investment is exploding, with electricity and water becoming major constraints. There are projections that global data-center spending could exceed $30 trillion by 2050. 

As of now, Data centers are facing growing criticism over electricity, water use and community impacts. Big companies are announcing  billions in communities that are hosting its data centers. So it is better that future AI data centers worked like forests - recycling water, using renewable energy and even creating habitat.

6. Future Vision: Harmonizing AI with Nature

At EnviroApps, our mission unites NI, AI, Scientific Data, and Environmental Compliance and move towards SI. We believe the highest calling of Artificial & Super Intelligence is not to replace the living world, but to help us understand, protect, and live in balance with it.

The banyan is not an arbitrary example. It has a remarkable cultural and ecological history. Across traditions, banyan trees have long been associated with contemplation, spiritual practice, longevity and sacred spaces. Stories and traditions describe sages and seekers meditating beneath trees and contemplating existence, consciousness and the nature of reality. One need not interpret those traditions as scientific evidence that a banyan tree creates enlightenment. 

We May Be Looking at Intelligence From the Wrong Direction
Humans often imagine intelligence as:
Brain → Computer → AI → ASI

But perhaps the true sequence is:
Nature → Life → Ecosystems → Biological Intelligence → Human Intelligence → Artificial Intelligence

AI is not the beginning of intelligence, it is a recent technological experiment inside an already intelligent universe.

AI as a Microscope for Nature
AI could help us understand biological systems too complex for humans alone.
Imagine integrating:
Genomics, eDNA, Microbiome data, Environmental sensors, Satellites, Climate models, Ecological interactions, Robotics, AI models

This enables biological digital twins, then digital ecosystems, and eventually planetary intelligence models.

AI could help answer:
How do trees respond to drought?
How do ecosystems recover?
How does biodiversity create resilience?
What signals in nature are invisible to humans?
AI + NI becomes far more powerful than AI alone.

We Have Only Scratched the Surface
We can estimate genomes, cells, leaves, environmental variables, and microbial interactions.
But these numbers do not capture the intelligence of the living system - only its scale.
Nature has been experimenting with intelligence for billions of years. We have been building AI for decades.

Before we declare that ASI is the summit of intelligence, we should look again at the banyan:
One tree → One ecosystem → Earth → Universe.

We have only scratched the surface.
AI may not end intelligence - it may finally give us tools to explore its vastness. For a hundred years, the banyan has cooled its surroundings, sheltered life, regenerated soil, and given more than it ever took.

If AI is to become truly “super intelligent,” it must follow the banyan’s example:
* Support Nature.
* Protect Nature.
* Regenerate Nature.

** Never destroy the very intelligence that created us. We do not want this scenario for our future Earth Inhabitants:

Artificial Intelligence should not deteriorate the Earth, it should help the Earth thrive.

That is the noble path from AI → SI → NI harmony.

Beneath the Banyan Tree The next time you walk beneath a mature banyan tree, pause for a moment in its cool, peaceful shade. You are standing within a living biological system that has spent a hundred years giving back to the Earth without ever diminishing it. May Avvaiyar's gentle wisdom guide our journey in AI to SI:  *to remember the handful of sand is our knowledge, and ocean level information is available to explore. Let us together especially young scientists work towards a sustainable ethical governed AI that will be pro-environment. * to remain humble before the boundless universe, and to build technology that helps all life flourish instead of affecting them. AI greats should consider and follow, Legendary  Albert Einstein's famous Quote -  "Be a human of value, rather than human of success".

by

Makesh Karuppiah, PhD