THE SACRED COMPUTER - СВЕЩЕНИЯТ СМЕТАЧ, a.k.a. ARTIFICIAL MIND: Thinking Machines, Creativity and Human Development. A pioneering virtual Research Institute for Artificial General Intelligence (AGI), Cosmism and Transhumanism, AI, Software, Interdisciplinary General Research, Creativity, Versatility, Universal Men ~ Twenkids etc. Created in 2000. (...)
На SIGI-2026 публикувах поредната версия на "Първата стратегия" - допълнено издание (от 256 до 283 стр. като подбирам още материал за следващата версия.
Пускам го като нов файл: Purvata_Strategiya_UIR_AGI_2003_Arnaudov_SIGI-2026.pdf
Реших да направя това издание след като се сетих за един въпрос, бележка под линия, за цената на "Витоша" (1961-1963 - през 1962 се извършва деноминация), и най-вече като препрочитах основния том на "Пророците" и писмата ми до Христо Крушков и др., докато работя и по неговото ново коригирано издание, а по-късно може би и допълнено през 2026 г.
Осъзнах, че множество писма и други статии и документи от началото и средата на 2000-те, вече публикуани в Основни том, в "Кратка хронология", "Подробна хронология ..." имат място и вна по-"прегледно" и "видно" място в "Първата стратегия", защото подсилват по още по-"графичен" начин вече дадените доказателства. В Основния том някои са във въведенията, но други са след 1600-та страница в подробната хронология.
Преписвайте тази историйца и пазете я да не изчезне!
Github:
Разширено издание от 28.6.2026 г. - 283 с.
Много допълнения спрямо предната версия от 9.6.2026 г.* Вече 283 стр. (от 256, +27). Много добавени писма от Основния том на Пророците: "5. Продължения на първата стратегия с конкретни научни и приложни насоки, публикувани между 12.2004 – 2.2008 г.: Вселена и Разум 5; Как двама всестранни младежи предвидиха пораждащия изкуствен интелект и принципа на работа на преобразителите между 2002 и 2005 г. – из писма между Илиян Георгиев и Тодор от януари-февруари 2005 г. Писма до Христо Крушков с повече обяснения и подробности от 11.2007 г.; писмо до Атанас Чанев от 12.2007; „Smarty – най-интелигентният речник в света“, 5.2007. Статията с дейностите и плановете ми от блог Изкуствен Разум от 2.2008 г.: „Творчески планове - какво правя, искам да правя, мисля си че правя... Частици от тях...“ . Коментар от 8.2008 г. за “Автоматична програмираща интелигентност“. Виж и писма до Людмила от 12.2007 г. в послеписа."
* В сравненията с Хасабис - включен още един откъс от писмото до А.Чанев.
* Бележка за деноминацията от 1962 г. относно бюджета на "Витоша" от 1.5 - 3 млн. (но неуточнено преди или след деноминацията 1:10).
Повече от статията "Творчески планове" ... добавяне на бел. че книгата е и на SIGI-2026.
* В изданието от 28.6.2026 включвам повече текст от началото на статията, където споменавам изрично „интелигентните асистенти“.
* Изследователската група в Уулвърхамптън, основана от Руслан Митков през 1995 г. http://clg.wlv.ac.uk/ (вече не е достъпен):
* Как работи разумът? Йерархичен самоорганизиращ се предсказател на бъдещето – научно представление .. - повече информация за събитието в ТУ София 2009 г.
(...)
* Версията от 9.6.2026 г. беше качена на SIGI-2025 и twenkid.com/agi
Yann Lecun cites a post, which is acknowledging that his ideas were correct etc.
A part of the concluding punch lines:
* It is "dime a dozen", but people decades older than me who *literally* repeated and ripped-off my suggestions, [strategy, plans, principles, theories, directions, conclusions, thoughts ...] and observations decades later, got prized with billions to *waste* and I am not even mentioned. They did it even in my own country, where one Bulgarian-Canadian became an "architect" of an institute in Sofia, with statements which were a *20 years late rip-off* of the above-cited essay, which were sold as "innovative" and ground-breaking :))), "for the first time in Eastern Europe" etc.
* As of "Dime a dozen"--> yes, or even "Five a dozen" --> The current "supercomputer" of my lab is called "PETAK I", where"Pet" means "5": from: 1. "Pentium" (historically the CPU and brand on which TUM was created), 2. The CPUs of all nodes: Core i5 (all old ones, 11-14 years old models, LOL); 3. Five nodes of the cluster (the initial full configuration) 4. A parody CPU-name from a science fiction work from 2004 from that theory ("Pentium 5"; "Петият Петак") and 5. In Bulgarian it also means "5 cents"... LMAO
Yann LeCun may have been right about something important: next-token and next-pixel prediction are probably not the most efficient path to real world understanding.
For years, the industry has been scaling generative models under the assumption that bigger models, more data, and more compute would eventually produce deeper intelligence. LeCun has been arguing the opposite: predicting every word or every pixel forces models to spend huge amounts of compute on surface details instead of learning the underlying structure of reality.
That’s the core idea behind JEPA (Joint-Embedding Predictive Architecture): instead of reconstructing the world pixel by pixel, learn a compact latent representation and predict what happens next inside that space.
The problem is that these models have historically been unstable. They suffer from “representation collapse,” where the latent space becomes too simple to carry useful information unless you add complex training tricks, auxiliary losses, or frozen components.
A new paper, LeWorldModel (LeWM), shows a much cleaner approach. It trains end-to-end from raw pixels using only two losses: a next-embedding prediction loss and a Gaussian regularizer on the latent space. This drastically simplifies the training setup compared to prior approaches.
The efficiency gains are striking. The model has around 15 million parameters, trains on a single GPU in a few hours, and can plan up to 48× faster than larger foundation-model-based world models, while staying competitive on several 2D and 3D control tasks. Its latent space also appears to capture meaningful physical structure and can detect physically implausible events in controlled environments.
This doesn’t mean generative AI is a dead end. LLMs remain extremely powerful. But it does reinforce a key technical point: for world modeling and physical reasoning, predictive latent-space approaches may be far more compute-efficient than brute-force generation.
The real shift might be this: not models that generate everything, but models that understand enough of the world to predict what actually matters."""
From the books "The First modern AI Strategy ..."... and "Stack Theory is Yet another fork of Theory of Universe and Mind" published at SIGI-2025
This idea, together with the prediction and next-token prediction (but in multi-scale, multi-precision hierarchy of resolutions of causality-control and perception), was published and explained nearly 25 years ago in Theory of Universe and Mind and presented during the world's first university courses in AGI in 2010 and 2011. Y.Bengio also rediscovered it 2017-2018 (Consciousness prior) and his example is almost literary repetition of an introductory definition from a treatise published about 14 years earlier. The author was a teenager, LOL.
Yann LeCun:
@Todor Arnaudov as I pointed out on another platform, ideas are a dime a dozen. The hard part, for something like this, is to implement it and to make it work.
The whole idea of hierarchical representations and learning by prediction is very old.
But learning hierarchies of representations didn't really work until convolutional nets were shown to do it in the late 1980s and more forcefully in the early 2010s (this took a while).
=== Todor Arnaudov:
Hi, first thanks for your answer as I didn't expect this honor. I don't disagree that there were earlier "prophets", I recently published a hyperbook with a related name (nearly 5000 pages in total), where one of the intros in one of the sections with collectons of related, prior and later work is a citation from the Holy Bible: "There is nothing new under the Sun"
Some of the prior work doesn't get enough credit and is unknown, even the "fellow AI historian" Schmidhuber doesn't mention them, e.g. the Soviet lab of Bongard and his colleagues etc. (E.g. once I caught Chollet literary restating insights from the 1967 book "Проблема узнавания" - perhaps he didn't know; he also rediscovers definitions for general intelligence of mine, published in 2001 (he couldn't know about it) - see the link at the end and the reviews of the LLMs).
The Bible is called "The Prophets of the Thinking Machines: Artificial General Intelligence & Transhumanism: History, Theory and Pioneers; Past, Present and Future", SIGI-2025 - and yes, almost nobody will bother to even open it. :))
BTW, e.g. IMO your PhD student Marc’Aurelio Ranzato deserves more credit for his pioneering work in DL and his insights (which perhaps [are] ~ also yours) -- his work is credited in my historical collections here: https://twenkid.com/agi/Lazar_The_Prophets_of_the_Thinking_Machines_20-8-2025.pdf ~p.21.
I do agree that I had to push to implementations immediately (not your type of NNs though) and perhaps my claims would be accepted after I implement them all by myself (Or if I or somebody else had - 20 years ago with no collaborators or any funding, no mechanical Turks to labe a gazillion of data and computing iterations, compared to 20 years later and all the collected resources in all senses of the word: i.e. IMO the difficulty of the implementation is supposed to decrease and be "discounted" with time like in RL; an idea 25 or 50 years ago may end up more "valuable" than an implementation in the present - see generative AI and the final citation below)
* I know about your dismissive opinion about "ideas", e.g. your comments to Schmidhuber's recent challenge, that you also could find ideas in your unpublished notes or something etc. and I've listened to your answers to him since 2022, "The path towards autonomous AI..." - I remember you defended yourself with referring to Optimal Control etc.
However many works are proposals, theoretical etc. but still get recognized, while other prior ones - don't and are even "humiliated". Also the core novelty there in my reading of the paper was also matching the mentioned TUM (and too general, it was not an implementation too); in general it looked like another cognitive architecture, which were popular in the cognitive science and the AGI community decades earlier, perhaps I have to reread it.
* I understand that if you dismiss even the German, who is at a comparable status as yours or, say he has more ground to be believed that he is, then you (and almost anyone) wouldn't recognize the claimed "priority" or even just the "contribution" of some obscure "self-proclaimed" "crank" or the mentioned theory, no matter the evidence (maybe you wouldn't even bother to check any evidence or count it as "theory" or anything).
BTW, your recent work about the brain/humans as "not general ..." also matches and is closely related to my prior work/accounts, beginning in early 2000s, however with different interpretation of the observations. The limitations don't deny the concept of general intelligence and the possibility of general principles and modules (prediction-compression etc.) I may address the correspondences in a paper.
* Stack Theory is yet another Fork of Theory of Universe and Mind, SIGI-2025
* The first modern AI strategy was published by an 18-year old in 2003 and repeated and implemented by the whole world 15-20 years later: Bulgarian Prophecies: How would I invest one million for the greatest benefit for the development of my country?https://twenkid.com/agi/Purvata_Strategiya_UIR_AGI_2003_Arnaudov_SIGI-2025_31-3-2025.pdf (Bongard, 1967 vs Chollet,2024 p.169-170)
* BTW, cheers from Kyuchuk Paris- that's the district in the city of Plovdiv, where TUM was created. 🙂
* This is the world's first modern "AI strategy", 2003, repeated and implemented by "the whole world" 15-20 years later: https://twenkid.com/agi/proekt.htm
* It is "dime a dozen", but people decades older than me who *literaly* repeated and ripped-off my suggestions and observations decades later, got prized with billions to *waste* and I am not even mentioned. They did it even in my own country, where one Bulgarian-Canadian became an "architect" of an institute in Sofia, with statements which were a *20 years late rip-off* of the above-cited essay, which were sold as "innovative" and ground-breaking :))), "for the first time in Eastern Europe" etc.
* As of "Dime a dozen"--> yes, or even "Five a dozen" --> The current "supercomputer" of my lab is called "PETAK I", where "Pet" means "5": from: 1. "Pentium" (historically the CPU and brand on which TUM was created), 2. The CPUs of all nodes: Core i5 (all old ones, 11-14 years old models, LOL); 3. Five nodes of the cluster (the initial full configuration) 4. A parody CPU-name from a science fiction work from 2004 from that theory ("Pentium 5") and 5. In Bulgarian it also means "5 cents"... LMAO
Also as I predicted in 2013 (counterintuitive to all "experts" up to just a few years ago, I namely wrote this article *because* of clueless "experts" predicted the opposite; they were later cited thousands of times for their *WRONG* world-model and wrong predictions):
"Creative Intelligence will be First Surpassed and Blown Away by the Thinking Machines, not the "low-skill" workers whose jobs require agile and quick physical motion and interactions with human-sized and human-shaped environment"
" (...) For the intellectual jobs - it's much easier to pick a computer, run the appropriate software or connect it to the service,
and get it thinking - you already have decent cameras, microphones and many sensors even in smartphones. (...) The bottom line is that the "white collars" are more endangered in current-time economy. Perhaps that kind of economy could hardly survive the AGI revolution. I guess it may turn upside down for a while - the low-skill workers could get higher pay, because intellectual activities will be done in 1 ms for free... 😉 We, the smart guys (the smart asses, see "Super Smartasses" the graphical series ) wouldn't be needed by anyone... Not that we are needed now. :))"
* The prediction of the generative AI (however it could have been created by the late 2000s-early 2010s - it came *too late*, not too quick as Hinton and Bengio "complain"; not with gradient-descent of course):
-- Creativity is Imitation at the Level of Algorithms - An outline sketch of a possible path of development of the Artificial Intelligence "Emil"
* It is busy at The Sacred Computer, (...) ramping up my "supercomputer" Petak I. New nodes or compute resources are welcome - see how to help in the project Vsy (Vseboravitel) or contact me. * Algorithmic Complexity ...- Corrections of typos, 16.3.2026
* **Reflections on Everything (Listove) ...** - 22.3.2026: Coming next - corrections of typos, minor stylistic edits and clarifications and additions/updates;
* **The Prophets ... - Main Volume** - 22.3.2026 - also possibly a few corrections/additions in the Main Volume, new matches; measurement of grip strength with a more reasonable electronic dynamometer (90 kg max -- now 53.3 kg) etc.
** The Main Volume (edition 21.1.2026) was uploaded on Github too, so far it was in my web site because of its size and convenience.
Read the hyperbook and all volumes and appendices at SIGI-2025, links below.
You can support or join the oldest AGI laboratory and the yearlong virtual conference SIGI-2026 as a participant and co-organizer!
For now a small part of the works are uploaded to ResearchGate and Academia, many chapters from the large volumes are like whole papers. I will publish many chapters as articles as well.
An original, unusual and very funny glimpse into a corner of the semiconductor industry, presented in the pilot episode of a series conceived in 2009 and first published in 2012.
Have fun and support The Sacred Computer: Thinking Machines, Creativity and Human Development
The main volume of "The Prophets of the Thinking Machines..." will be published soon and the next virtual conference: SIGI-2026 is starting on 1.1.2026. Be an early-bird there, LOL. :))
The next work is "Genesis: Creating Thinking Machines" and it is not designed to be "just" a set of 20-some books, monographs and papers, more than 4000 pages. (...)
Премиера на оцветената и подобрена версия на пилотния епизод на сатиричния ми комикс "Суперумници" (2012) - весели приключения и абсурди от полупроводниковата индустрия и живота: https://twenkid.com/smartasses/2025/
Първи епизод: "Спътници" (Companions)
* Идея, текст и рисунки с молив: Тош (Идея и описания на няколко епизода/скици на сторибордове: 2009 г.; първи осъществен голям пилотен епизод: лятото на 2012 г.)
* Оцветяване и подобрения на някои от рисунките (12/2025): Тош с Gemini и единични "ръчни" (наложи се едно завъртане: Horizontal-Flip;*) Някои от рисунките от черновата са запазени както са или само леко са оцветени при точно запазени контури и като цяло се стремях да се следва композицията, формите и стила на оригиналите с изключения, където не беше възможно или пък ми хареса както е. От линковете горе може да се види и оригиналната версия с молив.
* Сюжетът е вдъхновен от легендарна компания, която по-късно беше закупена от "Broadcom", след като много години работеха в тясно сътрудничество. "Броудком" днес се води с капитализация около 1.67 трилиона долара, около 2008-2009 - 3-4 милиарда (по-късно ги купуват за 37 милиарда през 2015 г., и после купуват и въпросната друга компания през 2016 г. и приемат името ѝ) Дали някой колега е бил "играч" и си е купил акции навреме?
...
* С повече дорисуване на скици или скиците можеше да се подобрят още образите, но не ми се занимаваше достатъчно за, само пробвах някои подсказки и не се получаваха.
ChatGPT translation:
Premiere of the colorized and enhanced version of the pilot episode of my satirical comic “Superumintsi” (2012) — cheerful adventures and absurdities from the semiconductor industry and from life: https://twenkid.com/smartasses/2025/
Episode One: “Companions”
Concept, text, and pencil drawings: Tosh (Idea and descriptions for several episodes / storyboard sketches: 2009; first fully realized large pilot episode: summer 2012)
Coloring and enhancements of some of the drawings (12/2025): Tosh with Gemini, plus a few manual touch-ups (one horizontal flip was required).* Some drawings from the draft were kept as they were or only lightly colorized, with the original outlines preserved. Overall, I aimed to follow the composition, shapes, and style of the originals, with exceptions where that wasn’t possible or where I preferred it as is. The original pencil-only version can also be seen via the links above.
The story is inspired by a legendary company that was later acquired by Broadcom, after many years of close collaboration. Broadcom is now listed with a market capitalization of about $1.67 trillion; around 2008–2009 it was valued at $3–4 billion (they were later acquired for $37 billion in 2015, and then went on to acquire the other company in question in 2016 and adopt its name). Did any colleague happen to be a “player” and buy shares in time?
…
With more redraws or further refinement of the sketches, the characters could have been improved even more, but I didn’t feel like investing the extra effort— I only tried a few prompts, and they didn’t turn out well.
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The Sacred Computer's Lab
In the meantime, now that I’ve finished the major “time waste” of the Biblical book surveys and defending the priority of my contributions, it’s time for real work. I want the handicap I gave to the AI opportunists back! :))
You can help me if you wish: donate hardware or services, support me, connect and help in the development and experiments.
According to early 2010s "wishful" ideas and designs, while working on the Infrastructure, and to what was counted as an AGI, universal artificial intelligence, a thinking machine, capable to think and create at a single human/super-human level/speed/scale/performance/quality/complexity level*, were "dreamed" to work on a quad-core PC with 32 GB RAM and a desktop GPU from that era - equipped with sensors: one or several cameras, microphones, Internet and other sensors, used for bootstrapping - without pre-trained and existing modules which are now available, we may not count them in the requirements. :)
Whether that would be enough - we will see.
Ask if you are interested in these articles or search the blog in 2013-2014, Issues on AGIRI list, "What's going on - Everything", "The infrastructure" (now called Vsy, Jack of All Trades, Вседържец etc.)
* I.e such a machine is not required to be capable of generating photorealistic 4K videos in real time - this is vastly superhuman. It should be at least as fast as me or reasonably slower.
A funny part from the "Bulgarian Predictions" (or Bulgarian Prophecies) which were mostly about AGI, AI, Theory of Universe and Mind, generative AI, the phenomenon that "Creative intelligence will be first surpassed and blown-away by the thinking machines ... and intellectual work will be done in 1 ms for free - the smart "asses" will be useless - not that we WERE useful before that" (2013)
Yesterday I realized another prophecy of mine, which guessed one exact number* in the pilot episode of my satirical comics series "Super Smartasses", that presented the world of the Semiconductor industry in late 2000s.
First drawn and published in the summer of 2012 (colorized recently with Gemini)
MENTEL and AND lay off 15K Real Engineers!
On 1.7.2008 the newspaper reports (with filled words for more complete syntax):
" ... The VP of Mentel ... Sorry, I need to save ... I wish them all the best - they are real professioals" - the VP said ... The financial crisys ... World economy ... New Cure 2 CPUs ... But Banks ... Low Sales ... Revenue ...
Next Issue will be with a reduced print of 15K - pre-order NOW!
The semiconductor manufacturer will cut 3,000 employees in Oregon as it looks to trim $10B by the end of next year.
Intel axes 15,000 jobs after sales tumble
Nick Edser & Natalie ShermanBusiness reporters, BBC News
https://www.bbc.com/news/articles/c16j3318n08o
I will release the enhanced colorized version of the draft after wrapping it up - I'm still refining some of the images. Nano Banana doesn't always "listen" to all of the instructions and if you get one thing correctly, another onject may disappear etc.
