Stack Theory is yet
another Fork of
Theory of Universe and Mind
Todor Arnaudov – Tosh
Appendix to
The Prophets of the Thinking Machines:
Artificial General Intelligence
& Transhumanism:
History, Theory & Pioneers;
Past, Present & Future
The Prophets of the Thinking Machines:
Artificial General Intelligence
& Transhumanism:
History, Theory & Pioneers;
Past, Present & Future
& Transhumanism:
History, Theory & Pioneers;
Past, Present & Future
ResearchGate: https://www.researchgate.net/publication/398934575_Stack_Theory_is_yet_another_Fork_of_Theory_of_Universe_and_Mind_-_Appendix_Volume_to_The_Prophets_of_the_Thinking_Machines_Artificial_General_Intelligence_and_Transhumanism_History_Theory_and_Pioneers
https://twenkid.com/agi/download.php?file=Stack-Theory-is-Fork-of-Theory-of-Universe-and-Mind-13-9-2025.pdf
https://github.com/twenkid/sigi-2025
Abstract / Introduction[1]:
Theory of Universe and Mind (TUM) is an interdisciplinary, multi-paradigm Cybernetic
Theory of Everything; of the Universe Computer, Artificial General
Intelligence, Mind and Creativity. TUM was developed and published between
2001-2004 as a collection of works, including
philosophical science fiction, in the Bulgarian AGI e-zine “The Sacred
Computer”, by a polymath teenager.
For
almost 25 years since its inception, many insights and directions,
delivered all at once in a complete framework and research program,
have been repeatedly rediscovered and presented as novel in academic settings
by more recent similar theories and publications, often by top-tier
researchers, without acknowledgment of the priority or the existence of the visionary originals. Stack
Theory (ST) offers contributions, peculiarities, formal definitions and “academic
formatting”, but it is yet another rediscovery of many fundamental principles
of TUM.
This
paper reviews correspondences and differences, offers interpretations,
clarifications and cross-references between ST and TUM, and briefly mentions several
of the many other related theories or publications, which TUM precedes; the
study further introduces some ideas from the upcoming Universe and Mind 6.
TUM
was presented at several public and academic events: (1) a lecture on TUM was delivered
for the curious general public at Technical University of Sofia in September 2009,
and core ideas and predictions were published in a follow-up interview for a
popular-science magazine, titled: “I Will Create a Thinking Machine that
Will Self-Complexify”, which also served
as a
pitch for an AGI start-up, one year before the creation of DeepMind. Two earlier articles had already made such pitches in 2003: the
first invited partners to join the author’s AGI R&D efforts at The
Sacred Computer, and the second outlined the groundbreaking first modern
national AI strategy, titled “How Would I Invest One Million for the Greatest
Benefit for the Development of my Country?” Fifteen to twenty years later,
this strategy was adopted worldwide by AI institutions and governments, validating its foresight and enduring relevance. (2)
TUM was featured as a key lecture in the world’s first university course in
Artificial General Intelligence at the University of Plovdiv, Bulgaria in 2010
and 2011 – 8 years before MIT offered an experimental
collection of talks on the same topic; the course at the University of Plovdiv was
conceived after giving the public lecture at Technical University of Sofia; the
unique interdisciplinary curriculum was designed with the goal to prime and justify
the conclusions of TUM and its research program; (3) TUM was communicated at
the international informal “mini-conference” Self-Improving General
Intelligence 2012 in Plovdiv .
These
events took place a decade after the first publications, still during
the
“dark age” of AGI, when even the AI experts, except a few visionaries, were
“rolling eyes and leaving”, whenever they heard the word “AGI”[2],
because these
ambitions were considered a fantasy. Today, in 2025, Stack Theory’s
papers declare that „AGI is also a well established and rigorous field of research ”, while presenting as novel ideas and directions categorically
formulated back in 2001-2002.
A distinctive “meta-contribution”[3]
of this study is the engagement of a set of large language models to review
and evaluate one of the foundational works of TUM, published in 2001 by then
17-years-old author: “Man and Thinking Machine: Analysis of the Possibility that
a Thinking Machine Could be Created and Some Disadvantages of Man and Organic
Matter in Comparison” and an excerpt on creativity from the 2003 treatise “Universe
and Mind 3”.
Symbolically,
it was the predicted thinking machines themselves – rather than AGI
researchers or human commentators – who were the first
beings to acknowledge the “striking clarity” and
“prophetic insights” of TUM, even in its initial seeds.
If
a machine, a next-token predictor, learned the value of prodigy’s
contributions – maybe humans can too[4].
Keywords: Artificial General Intelligence, AGI, thinking machines, Theory of
Everything, Universe, Mind, generalization, efficiency, sample-efficiency,
consciousness, conscious machines, the hard problem of consciousness,
hierarchy, causality, multi-scale, embodiment, embodied computation, embodied
cognition, Large Language Models, LLM, hybrids, extended mind, Artificial
Intelligence, AI, philosophy, AI philosophy, cybernetics
* Virtual yearlong conference Self-Improving
General Intelligence 2025
|
[1]
First published on 13.9.2025.
This edition: 20.9.2025, 20:44, 204 p. See some latest additions on p. 7.
[2] See cited interviews with Shane Legg, Demis Hassabis;
Sam Altman etc. in “The First Modern Strategy …”, 2025 and the Main Volume of The
Prophets of The Thinking Machines … See the note below.
[3]
A meta-contribution of this book and other parts
of The Prophets is also the iterative revisiting and refinement of the ideas
with deep nested interpretations and remarks, which are branching, multi-layer
and sometimes multi-view etc.; they are extended historically, while keeping
track and preserving the originals, the time of their conception and the
reasoning which generated them etc., in a process, that continues for decades.
The method allows the traces of the thoughs and the possible sources of the in-sights
to be tracked and different branches to be preserved for future traversal,
revisiting, criticism, ex-tension and refinement. Some readers may struggle
with this “fragmentation” and prefer only “monolith-ic” and “finished”
thoughts, but we prefer to have “many doors” to our “palace of knowledge” and
to remember our trajectories. A predecessor with related style of exploration
is Arthur Schopenhauer. [15.9.2025]
[4] By the way, most humans misinterpret the message of
the movie from which this style of epilog was inspired – they read the opposite
of the intended message. If you can’t recall the movie or want to read the
arguments, see “Letters between the 18-years-old Todor Arnaudov and the
Philosopher Angel Grancharov”, 9.2002 (“Universe and Mind 2”), The Sacred
Computer #18. See also my letter to Oxford University from 2.2012. Also, if you
wish, “hold your thought” and check how mine continues after the LLM’s
reviews near the end of the book ~ p.195. See also the long footnote about the two
hierarchies of values at p. 9.
