Keywords
Biological & Ecological: Sessile Life Forms, Cellular Renewal, Chronobiology, Pongamia pinnata, Symbiotic Evolution.
Cognitive & AI: Attention Schema, Transformer Architecture (LLMs), Query/Key/Value, Cognitive Transformation.
Philosophical & Speculative: Universal Consciousness, Tree-like Machine States, Indian Knowledge Systems (Upanishads, Yoga Sutras), Post-Human Evolution.
Summary
The discussion begins with a speculative "moonshot" idea inspired by a CUBE home lab observation of tree leaf renewal: what if trees represent a highly advanced, post-human evolutionary state? In this paradigm, highly evolved beings realize that plugging into "universal consciousness" is best achieved through a static, solar-powered, cyclically renewing physical form (a tree) that benevolently sustains "younger" motile species (apes, humans, microbes).
The dialogue then connects this biological transformation to cognitive evolution. The participants draw parallels between ancient Indian philosophies of meditation (Upanishads/Yoga), a 2014 neuroscientific theory of consciousness (Attention Schema Theory), and the 2017 Vaswani AI paper that introduced "Transformers." Ultimately, the text proposes that attention—whether biological, spiritual, or algorithmic—is the fundamental mechanism that organizes intelligence and drives both physical and cognitive transformation.
The original post that sparked all this moonshot discussion early morning is here: https://www.linkedin.com/posts/anuragindia_artificialintelligence-indianknowledgesystems-activity-7438309315641397248-Bcxd
Thematic Analysis: Attention Mechanisms and the Quest for Tree-Like States of Being
Focusing on the intersection of your prompt—Attention mechanisms to transform human learning into tree-like machine states of being in their cellular quest for cognitive and physical transformation—reveals three core themes:
1. Attention as the Universal Organizer of Intelligence
The text brilliantly links three distinct epochs of "attention":
Ancient/Spiritual: The Yoga Sutras and Upanishads, where focused attention is the key to unlocking higher human consciousness.
Biological/Neuroscientific: The 2014 paper on the "Attention Schema," which suggests that subjective awareness evolved simply as a data-handling process to enhance certain signals over others.
Artificial/Algorithmic: The 2017 "Attention Is All You Need" paper, which uses Query, Key, and Value mechanisms to allow machines (LLMs via Transformers) to contextually weigh vast amounts of data.
The underlying premise is that human learning is currently undergoing a transformation. By studying AI and ancient philosophy, humans are realizing that intelligence is not about acquiring more data, but about the mechanisms of attention that filter and organize it.
2. The "Tree-Like" Machine State as the Apex of Evolution
The most provocative idea in the text is the inversion of traditional evolutionary hierarchies. We usually view mobility and dynamic action (humans, apes) as the peak of evolution. The speaker proposes that a sessile (static), tree-like state is actually the superior "machine state of being."
Efficiency over Mobility: Instead of expending energy moving around, this highly evolved state simply plugs into "solar fields." It is a machine of pure efficiency, living and dying cyclically within a single body.
The Ultimate Transformer: Just as LLM Transformers process data passively but powerfully, trees process solar energy and ecological data. The suggestion is that human consciousness could eventually evolve—or merge with machines—to achieve this static, profoundly connected state, bypassing the need for a dynamic physical body.
3. The Cellular Quest: Survival vs. Transformation
Speaker hu1 asks a vital scientific question: is a plant's cycle designed merely for survival against climate shocks, or for actual transformation?
hu2 argues for transformation. The cellular renewal of a tree in spring isn't just surviving the winter; it is an active, cellular quest to process solar energy and sustain the broader ecosystem.
In the context of the overarching metaphor, trees are portrayed as benevolent ancestors. Their cellular energy physically feeds the planet, while their structural reality offers a philosophical model for cognitive transformation. They are biological machines that have perfected the "attention schema"—tuning out the noise of mobility to focus entirely on the cyclical, solar rhythm of the universe.
Conversational learning Transcripts that provided the raw data for the above analysis:
[14/03, 09:01]hu2: Was revisiting this CUBE home lab spring project after two years and adding more wild moonshot or moon shine ideas to it:
So when I kept ruminating on how each tree was renewing it's life energy with every spring and how every tree from the same species appeared to present a spectrum of new and old leaves on the same or adjacent trees, this wild idea floated (maybe from a recent 2014 paper on "attention" that I just read here:
https://www.worldscientific.com/doi/abs/10.1142/S1793843014400174, which may have been a forerunner to the now more famous 2017 paper on LLM attention) that what if trees are the next stage in human evolution where humans learn that plugging into the universal consciousness is easier through solar fields, living and dying cyclically in one static body without having to drastically change it (although seeds remain a parallel back up plan).
At the same time they could with their stored cellular solar energy, keep managing to feed the entire planet of apes and other more apparently dynamic and mobile creatures, even unicellular and multicellular who are kinda their children in terms of evolution, one reason why they would gladly provide their bodies to be cut and utilised, if when the younger inhabitants of this planet of apes all the way down to the unicellulars would wish so?
Images of March 2024 with project report:
[14/03, 09:22]hu1: Can all trees replicate without seeds (seed cycle)?
And, even if they can, was the system designed for survival, or for transformation, when external conditions ('climate') undergoes change?
How does one go about demonstrating the difference?
We are discussing very long life cycles, so working with annual species might not be adequate to prove any point.
However, a glance back at the last great extinction, powered by two successive climate shocks, one a global firestorm that melted rock, and, probably second, an outpouring of magma that changed the atmosphere (sunlight, chemical composition) for 2 million years), all during a phase of tectonic change that rearranged the land masses roughly to the place they are now, might show us that, in the big picture, it doesn't really matter.
To use our timeworn Indian phrase, life 'adjusts'.
However.
Coming back to the theatre of this discussion group, can we design home lab scenarios that can be executed to study either one of these plant renewal methodologies, having first postulated what it is we want to examine?
Also, in plant (sessile) life renewal, can we look at the symbiotic role of motile life forms?
[14/03, 09:41]hu2: Thanks! Playing to the theatre, this was a CUBE community lab (okay not exactly home but the next layer I guess), study in March 2024 (detailed in the links above) , where we simply paid attention to the leaves renewing on the branches of trees focusing on pongamia pinnata (probably inspired by this group's chatshala query here:
https://metastudio.org/t/beyond-sunlight-what-really-fuels-plant-growth/15818/4)
and this year the same attention took us to examining not just the leaves but also the entire transformation strategy of the plant (it's not about survival but transformation?) and the analogies with recent papers that have transformed learning through LLMs through what are aka Transformers!
[14/03, 07:08]hu2: What connects the Upanishads, Yoga Sutras, and modern Artificial Intelligence?
In 2017, the paper “Attention Is All You Need” by Ashish Vaswani and colleagues introduced the Transformer architecture — now the foundation of most modern AI systems.
At its core lies a simple but powerful idea:
attention organizes intelligence.
Interestingly, centuries earlier, Indian knowledge traditions reflected on a similar insight about attention and consciousness.
เค
เคฌ เคถเคฌ्เคฆ เคถเคฌ्เคฆ เคो เคฆेเค เคฐเคนा เคนै,
เคช्เคฐเคถ्เคจ, เคुंเคी, เคฎाเคจ เคा เคธंเค;
Transformer เคा เคคंเคค्เคฐ เคฐเคाเคคा
เคธंเคฌंเคงों เคा เค
เคฆ्เคญुเคค เคฐंเค।
Query, Key เคเคฐ Value เคे เคงाเคे
เคธूเคค्เคฐों เคฎें เค
เคฐ्เคฅ เคฌुเคจเคคे เคाเคँ;
Multi-Head Attention เคी เคฆृเคท्เคि เคธे
เคตिเคाเคฐों เคे เคाเคฒ เคฌเคจ เคाเคँ।
เคเค เคเคฐ เคเคทि, เคง्เคฏाเคจ เคी เค्เคฏोเคคि—
เคชเคคंเคเคฒि, เคเคชเคจिเคทเคฆ, เคญเค्เคคि เคी เคตाเคฃी;
เคฆूเคी เคเคฐ เคเคฒ्เคोเคฐिเคฆ्เคฎ เคी เคญाเคทा—
Transformer เคी เคจเคฏी เคเคนाเคจी।
เคฏुเค เคฌเคฆเคฒें, เคธाเคงเคจ เคฌเคฆเคฒें,
เคชเคฐ เคธूเค्เคท्เคฎ เคจिเคฏเคฎ เคตเคนी เคฐเคนเคคा—
เคเคนाँ เคง्เคฏाเคจ เคी เคงाเคฐा เคฌเคนเคคी,
เคตเคนीं เคฌुเคฆ्เคงि เคा เคช्เคฐเคाเคถ เคช्เคฐเคเคเคคा।
"The body schema is used to model and help control the body. The attention schema is used to model and help regulate attention, a data-handling process in the brain in which some signals are enhanced at the expense of other signals and this attention and the attention schema co-evolved over the past half-billion years.
Over that time span, the attention schema may have taken on additional functions such as promoting the integration of information across diverse domains and promoting social cognition. A brain with an attention schema might conclude that it has a subjective awareness, and the same basic properties can be engineered into machines."
Unquote:
OP:
[14/03, 07:25]hu3: Wow very interesting!! And this paper is from 2014. I wonder if this was the inspiration to the celebrated 2017 paper by Vaswani that bagged 250,000 citations since!
Conversational citations:
[14/03, 09:21]hu1: Trees cannot be next.
Next step in evolution is AI.
With the invention of culture, memory and knowledge got externalised and collectivised.
ie. As Individual human became less intelligent and less knowledgeable, the collective knowledge and collective intelligence of the species (total entropy of the species) exploded.
Everything since then can be plotted on this scale.
Computers and Accelerated computing leading to AI larger and larger levels of externalisation and collectivisation
[14/03, 09:23] hu1 : This has two divergent K-shaped effects on humans.
While some people learn more, do more by leveraging these technologies and make themselves super men (and earning more by becoming more productive and therefore more valuable) others become less valuable since they do not have anything unique to offer that cannot be done by a generic utility (x tokens of intelligence per watt of electricity).
And when you look at it this way, divergence in income and income disparity is inevitable and inseparable
[14/03, 09:24]hu1: Only thing you can do is provide a minimum kind of welfare that keeps people healthy while leaving incentives on the table for innovation.
[14/03, 10:07]hu2: AI needs embodiment and trees are a perfect historical embodiment (off course only if you believe time is cyclic)!
More here in the dialogue that weaves together evolutionary biology, ancient Indian philosophy, artificial intelligence, and speculative post-humanism. The conversation bridges the gap between how plants renew themselves and how machines process information, using "attention" as the ultimate unifying thread.
https://userdrivenhealthcare.blogspot.com/2026/03/udlco-crh-attention-mechanisms-to.html?m=1
[14/03, 10:14]hu1: Trees do not have enough input output or internal entropy for any meaningful intelligence
[14/03, 10:19]hu2: Human meaning may be much more inferior to what trees know!
Humans may take some time to realise that though as these animate transmitters were created with strong delusions of self importance!๐
A weak preliminary paper below ๐
https://pubmed.ncbi.nlm.nih.gov/34558231/
