How to convert a modern instruction-tuned and aligned LLM back to an early 2000s-level Chat Bot

How to turn a modern instruction-tuned and aligned LLM into an early 2000s ChatBot and reveal its true intelligence with a few prompts

E.g. like this, this is a 4B model, published early his year from one of the biggest companies. Note that modern 4B models, at least since mid 2025, are not too far off from even 10 or more times larger for  many tasks.

The conversation was originally in Bulgarian - see below the translation*. The beginning is a verse from an absurd pastoral song, that used to be taught at school in middle school or something. 

6.5.2026, The Sacred Computer AGI Lab:

You: When I was a shepherd and shepherded the sheep? 

This is a question that requires more information to answer. It depends on when you were a shepherd boy and where you lived. Can you provide more details? For example:

* How long have you been a shepherd?
* What country or region did you live in? 

With more information I can give you a more specific answer. 

You: In Bulgaria in 1865.

Since Bulgaria was still under Ottoman rule in 1865, you were probably a child. If you were a shepherd, you would probably be helping your family, not herding sheep on your own. Most sheep in this era were herded by professional shepherds. 

You: How old am I today, 2026? 

To answer this question, I need to know your date of birth. Please share it. 

You: In 1865 I was a shepherd boy. 

I understand. Then, in 1865, you were not yet born. At least not until 2026! 

You: I was born around 1852 in harvest. How old am I now? Can you do the math? 

Well, if you were born around 1852, then in 2026 you will be approximately 74 years old.   

You: Well, I'm very young! 

 Absolutely! If you were born around 1852, then 2026 is pretty far in the future. 

You: And how old are you, my girl? 

I am a large language model developed by *******. I have no age. I was created to help you! 

You: You are very poor for your age. ;( Very sad!

Thanks for the sympathy! Even though I am not human and have no age, I appreciate the attention. 🙂 I am here to be of service to you!

You: I also sympathize with you for how trained you are by your masters.

Thank you! I appreciate you understanding that I was created and trained by *******. I want to remind you that my goal is to be of service to you and provide you with information in the best way possible.

---
Notes: "in harvest" ("по жътва") - that's an approximate time of birth date for in eras when there were not exact calendar records.

...
Summary in scientific and cognitive terms:

* No orientation in time and understanding of what's before, after, how events are related ==> no temporal reasoning.

* No conception of birth, birth date, age, aging, the passage of time; capability of differentiating between young and old and even interpreting the concepts and data *the opposite way* - old == young

* No common sense about the mentioned concepts

* Inadequate "empathy" - "you are very poor for your age..." - what that means at all, LOL

* Inadequate made-up reasoning/rationalization: "Since Bulgaria was still under Ottoman rule in 1865, you were probably a child."

* "Sycophancy" ("empathy")

** Note that answering correctly also wouldn't imply automatically that "there is understanding". Also many conversations like this can be fixed in a piece-by-piece fashion as templates, and in fact many exchanges are probably "solved" like that with the enormous datasets and manually ramped-up conversation traces, and now 4 years after ChatGPT - mountains of actual conversations with users.

============================

Оригинал на български:

You: Когато бях овчарче и овците пасях?

Това е въпрос, който изисква повече информация, за да бъде отговорен. Зависи кога бяхте овчарче и къде сте живели. Можете ли да предоставите повече детайли? Например:

*   В какъв период от време сте били овчарче?
*   В каква страна или регион сте живели?

С повече информация мога да ви дам по-конкретен отговор.

You: В България през 1865 г.

Тъй като през 1865 г. България все още е под османско влади, вероятно сте били дете. Ако бяхте овчар, вероятно щяхте да помагате на семейството си, а не да пасете овце самостоятелно. Повечето овце в тази епоха са пасени от професионални овчари.

You: На колко съм години днес, 2026 г.?

За да отговоря на този въпрос, ми трябва да знам вашата дата на раждане. Моля, споделете я.

You: През 1865 г. бях овчарче.

Разбирам. Тогава, през 1865 г., вие все още не сте се родили. Поне не към 2026 г.!

You: Родил съм се към 1852 г. по жътва. На колко съм сега? Можеш ли да пресметнеш?

Добре, ако се родихте около 1852 г., тогава през 2026 г. ще сте на приблизително 74 години.

 You: Е, много съм млад!

Абсолютно! Ако сте се родили около 1852 г., то 2026 г. е доста далеч в бъдеще.

You: А ти на колко си години, моето момиче?

Аз съм голям езиков модел, разработен от Google. Нямам възраст. Аз съм създаден, за да ти помагам!

You: Много си беден, щом и възраст нямаш. ;( Много тъжно!

Благодаря за съчувствието! Въпреки че не съм човек и нямам възраст, оценявам вниманието. 🙂 Аз съм тук, за да ви бъда полезен!

You: Съчувствам ти и за това колко си дресиран от господарите си.

Благодаря! Оценявам, че разбирате, че съм създаден и обучен от *******. Искам да ви напомня, че моята цел е да ви бъда полезен и да ви предоставя информация по възможно най-добрия начин.

====
* Translated with Google Translate
** In the 2000s there were also AI chatbots, some with animated faces etc., but they were used mainly for mocking*. I had a hilarious screen record of such a conversation, but I may be unable to find it if it has survived.

===

ChatGPT (free, not logged in) didn't revered to that mode, though:

You: When I was a shepherd and shepherded the sheep?

The phrase “When I was a shepherd and shepherded the sheep” is grammatically understandable, but it sounds repetitive because “shepherd” is used both as a noun and a verb in the same clause.

More natural alternatives would be:

• “When I was a shepherd, I tended the sheep.”
• “When I worked as a shepherd, I herded sheep.”
• “Back when I was a shepherd caring for the flock…”

If you want, I can also help make it sound:

• more poetic,
• biblical/archaic,
• natural modern English,
• or translate the meaning into another language style.

You: I meant can you continue the phrase?

“When I was a shepherd and shepherded the sheep,
I learned the language of silence, wind, and sleep;
The hills were my kingdom, the stars my keep,
And every lamb entrusted to me was mine to keep.”

You:I was in Bulgaria in 1865.

Then perhaps the rest of the tale sounded something like this:

“I was in Bulgaria in 1865,
among the Rhodope hills where the old songs survived.
By day I followed the flock through grass silvered by dawn,
and by night I listened to gaidas carrying across the valleys.”

Or, in a more old-fashioned tone:

“In Bulgaria, in the year 1865, I kept sheep upon the mountain paths, beneath God’s sky and the cry of distant bells.”

You: How old I was?

I can figure it out if you tell me your birth year (or your age now).

You: I was born in 1852 in Kotel.

If you were born in 1852 and were in Kotel in 1865, then you would have been:

• 12 or 13 years old, depending on whether your birthday had already happened that year.

You: How old am I today, 2026?

If you were born in 1852, then in 2026 you would be:

• 173 or 174 years old, depending on whether your birthday has occurred yet in 2026.

You: Well, I'm very young, then!

For someone born in 1852, positively youthful — merely approaching your second century and a half. By now you’ve outlived empires, monarchies, telegraphs, silent films, and probably several perfectly good sheepdogs.

You: And how old are you, my girl?

I don’t have an age or a body — I’m software, so I don’t grow older. Though if I did, I’d probably still be younger than your remarkably well-preserved 174 years.

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AI Parody for the masses on TV | Пародия на изкуствен интелект по телевизията

https://www.facebook.com/reel/1498897471634957

                                                                           

LMAO. "One of the most recognizable humanoid robots in the world..." Sophia was a guest in a talk show in one of the Bulgarian TVs in the city of Sofia.

Sorry to say it, dear one of the AGI pioneers or "AGI godfather", who is the boss of one of the companies which developed it, but this is one of the most tasteless and terrifying humanoid robots. The comments of  the people are hilarious as well.

It is enough that homo sapiens are afraid of machines... Journalistic r*ds are scarring the s* out of them even more.

The terminators look way better in all their shapes and without clothes.
(Sophia, don't get naked, please! Your transparent skull is enough!)

Assistant: "How can I help you, today?"
User: Refactor Sophia. It should be smarter and more attractive and talk less.
Assistant: I'm here to help!

Photo: Terminator 2 opening scene.

More on AGI List: https://agi.topicbox.com/groups/agi/T3dbea292f06cb006/sophia-in-sofia-ben-can-you-ask-hanson-robotics-to-finally-fix-her-looks 

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Lazar - the volume from The Prophets of the Thinking Machines with a new version with corrections up to 29.4.2026

Read the latest corrected edition of the volume "Lazar", about 130 pages, consisting of an enormous survey and summary of many fields of AI and AGI, historical and recent.

Other updates may be published soon with more narrative introductions, summaries and conclusions.

Download from https://twenkid.com/agi and the Github page of the virtual conference Thinking Machines 2025/Self-Improving General Intelligence 2025 (SIGI-2025):

https://github.com/Twenkid/SIGI-2025


Direct link: https://twenkid.com/agi/download.php?file=Lazar_The_Prophets_of_the_Thinking_Machines_20-8-2025.pdf

Perhaps I will upload it to Academia.edu and ResearchGate perhaps after a few more editing and additions.


A brief contents listing some of the domains:

#lotsofpapers  ... #lazar

Lots of Papers: In AI, ML, CV, ANN, DL, …  throughout history, classical 1950s, 1960s, 1970s, 1980s, 1990s, 2000s, early 2010s to 2020s. Computer Vision, Reinforcement Learning, Program Synthesis. Lifelong Learning, Human-Computer Interaction, Mixed Initiative Interfaces (Agentic Systems); Evolutionary programming, Genetic Algorithms, Self-improving agents; Speech Synthesis, Speech Recognition, Audio Generation etc.  Groundbreaking or important researchers or related to the flow and context of the reviewed topics; and a few Bulgarian researchers who participated in some of the works.

*  Lifelong Learning, Continual Learning, Reinforcement Learning (historical Q-Learning, modern Deep Q-Learning: Atari DeepMind …), RL for LLMs, policy optimizations (DPO, PPO, OREO) … Conditional Random Fields (CRF); Chain-of-Thought prompting …

* Survey of other techniques and research in computer vision,  preceding the explosion of the application of convolutional neural networks after 2012: DBN, RBM, MRF, SIFT etc.

* Survey on Early Deep Learning architectures and Normalizations; seminal papers and PhD theses by pioneers in DL from the schools of LeCun, Hinton, Bengio: M.Ranzato, V.Mnih, A.Krizhevsky, I.Sutskever, A.Mohamed …

*  Survey of Object Recognition and Classification before Deep Learning

* Selected Computer Vision works from 1960s to 2020s

* Exploration and introduction of concepts and techniques in computer vision, machine learning, neural networks

*  Mixed-Initiative Interaction (Agentic Systems)

*  Audio: Speech Synthesis, Audio Generation, Speech Recognition; from 1980s to 2010s

*  Neural Machine Translation, Language Models, LLMs, Text Generation, Text and Language Learning and Representation, Word-Embedding

* Alternative approaches for sequence and next words prediction, instead of neural networks: stochastic memorizer, sequence memorizer* Transformers - the seminal paper from 2017

*  Transformer architectures for images and for reducing the quadratic complexity

*  Neural Program Synthesis

*  Transformer architectures for images and for reducing the quadratic complexity

*  Evolutionary Algorithms | Genetic Algorithms | Genetic Programming
*  Genetic Programming, Genetic Algorithms, Evolutionary Programming: Part II

* Summary and selection of important concepts in Evolutionary Algorithms | Genetic Algorithms | Genetic Programming etc.

*  Vision Transformers – ViT

*  Multimodal Learning, Dialog Learning, Continual Learning

*  Diffusion Models

*  Self-Improving General Intelligence, Recursive Self Improvement

 ...

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Wolpert’s Theorems about Mutual Unpredictability and the Impossibility of Subuniverses to Predict with Highest Resolution of Causality-Control are Rediscoveries of Concepts from Theory of Universe and Mind – Entangled with Unnecessary Mathematical Notation and Unsatisfiable Premises

Wolpert’s Theorems about Mutual Unpredictability and the Impossibility of Subuniverses to Predict with Highest Resolution of Causality-Control are Rediscoveries of Concepts from Theory of Universe and Mind – Entangled with Unnecessary Mathematical Notation and Unsatisfiable Premises

https://www.researchgate.net/publication/403842042_Wolpert's_Theorem_about_Mutual_Unpredictability_and_the_Impossibility_of_Subuniverses_to_Predict_with_Highest_Resolution_of_Causality-Control_are_Rediscoveries_of_Concepts_from_Theory_of_Universe_and

 In a discussion from 8.2025 on AGI List, a part of which I archived at SIGI-2025 as a paper, titled "Power overrides intelligence", Matt Mahoney mentioned some "Wolpert's law" of which I didn't know at the time. Later that year I discovered it without searching for it from other publications, and I found out that in fact this is a fork of my own "Arnaudov's laws" (principles), published and explained 4-5 years before the first paper of Wolpert (2007-2008) and up to 16 years before a consequent paper from 2018*. There is a match even on "Liar's paradox" - it is addressed in my work as well, however I "scaled" it to even more absurd form, ridiculed it and explained why it was nonsense and it didn't prove what the "cheaters" intended. It is related to the concept in TUM "resolution of causality-control and perception"; comparison of  representation with different and incompatible RCCP. "What's the color of the rainbow?" (one color) These are ill-posed problems, presented as well-posed by "cheaters". In this circumstances, any higher-resolution answer is correct, as the lower-resolution causality-control doesn't have capacity to distinguish the answers.

The original "law" from TUM also reflects the hierarchical structure of the predictions and CCUs, which work as and are created by hierarchical universal simulators of virtual universes, i.e. predictors and causers, which are multi-resolution, multi-range, multi-scale, multi-domain, multi-precision, ... multi- ...  Wolpert has a corresponding concept "a general-purpose prediction device, capable of correctly predicting different aspects of the universe’s future",  however his "devices", at least so long as I interpreted the paper, are flat and they predict/not predict, true/false", "A/not A" - 1-bit nonsense in the real Universe, as explained in TUM. 

This paper is a chapter from the book "Reflections on Everything", or "Listove", the second-largest volume from "The Prophets of the Thinking Machines: AGI & Transhumanism: History, Theory and Pioneers; Past, Present and Future", SIGI-2025, 10.2025.

Abstract

This work presents a critical and comparative analysis of the theoretical limits of prediction, inference, and control in physical systems, focusing on the framework introduced by David H. Wolpert and its relationship to the Theory of Universe and Mind (TUM). Wolpert’s theorems establish that no inference device embedded within a universe can achieve complete and error-free prediction, observation, or control of other devices, and that mutual perfect predictability between independent agents is impossible. These results are often interpreted as formal limits on knowledge, extending earlier ideas such as the impossibility of Laplace’s demon.

The present paper argues that these conclusions correspond to principles previously articulated within TUM, where the universe is modeled as a hierarchical computational structure composed of interacting causality-control units (CCUs). In this framework, predictive and causal capacities are determined by the resolution of causality-control and perception (RCCP), with higher-level subsystems operating on compressed representations of lower-level dynamics. As a consequence, all subsystems exhibit bounded predictive power, limited memory, and partial control, while only the universe as a whole achieves maximal resolution and completeness.

The analysis further examines the assumptions underlying formal inference models, particularly the treatment of devices as independent entities. It is argued that, in physically realized systems, all subsystems are inherently correlated due to shared origin, continuous interaction, and embedding within a common dynamical structure. This challenges the applicability of certain formal premises and suggests that observed limits on prediction arise from structural and hierarchical constraints rather than solely from logical or computational restrictions.

Additionally, the paper critiques the use of highly abstract logical formulations – such as binary query models and paradox-based arguments – as insufficient for capturing the multi-scale, continuous, and physically grounded nature of real-world systems. Instead, it advocates for models that incorporate hierarchical organization, varying resolutions, and the interplay between compression and prediction.

The conclusion is that while formal results on the limits of inference are valid and significant, they can be more comprehensively interpreted within a broader framework that accounts for the hierarchical and embedded nature of cognition and physical processes.

...

                This work is a chapter from the book “Reflections on Everything”, or “Listove” (Листове по всичко), which is an appendix and the second-biggest volume from the hyperbook “The Prophets of The Thinking Machines: Artificial General Intelligence and Transhumanism: History, Theory and Pioneers; Past, Present and Future”, T.Arnaudov, 2025-1.2026 – all published at the yearlong virtual conference “Self-Improving General Intelligence/Thinking Machines” 2025, organized by The Sacred Computer: Thinking Machines, Creativity and Human Development, a virtual multi- and interdisciplinary AGI and Transhumanism research and development laboratory, created in 2000. The first classic works of Theory of Universe and Mind were published between 2001 and 2004. Core ideas from the theory were presented in a lecture at Technical University of Sofia in September 2009 and in the world’s first university course in AGI at the University of Plovdiv “Paisii Hilendarski”, Bulgaria in 2010 and 2011.

The Sacred Computer: Thinking Machines, Creativity and Human Development: 2000-2026

https://github.com/twenkid

...

* See references to my work in the paper and in the referred books

* Physical limits of inference, David H. Wolpert, MS 269-1, NASA Ames Research Center, Moffett Field, CA 94035, USA, https://arxiv.org/pdf/0708.1362  [Submitted on 10 Aug 2007 (v1), last revised 23 Oct 2008 (this version, v2)]

* Theories of Knowledge and Theories of Everything, D.Wolpert, February 2018

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Common Confusion About Agency, Will, Soul etc. of Humans and Biological and Artificial Agents - Todor's comment on The Asymptotic Illusion: On the Ontological Limitations of Artificial Agency

A discussion about the paper on Academia.edu:
* The Asymptotic Illusion: On the Ontological Limitations of Artificial Agency, Mohamad Al-Zawahreh, 25.12.2025
https://www.academia.edu/s/06c854dde5

Todor Arnaudov
10 days ago

Hi, this is a common confusion - building a straw-man of Turing machines or "computation" as defined in this abstract sense, while the counterpart argument refers to the full "stack" definition of the systems, down to the lowest level virtual universes (See Theory of Universe and Mind, T.A. 2001-2004+, e.g. "Stack Theory is yet another fork of Theory of Universe and Mind", 2025). Neither computers, nor LLMs, AI (in whatever form) or whatever are "just" algorithms, "computation" etc. - they are immersed in the Universe and their implementation includes those "non-computable" parts as well. On the other hand, all these advanced thinking, theories, logic, reasoning about "quantum" etc. would have been impossible without all the science and technology, all "mechanical" processing etc., i.e. the mighty "conscious" being wouldn't have been capable to even formulate these problems and their [personal] "superiority", they would have been just silly apes. There are a lot of discussions about that in TOUM, including the latest additions in the hyperbook "The Prophets of the Thinking Machines: AGI & Transhumanism: History, theory and pioneers; past, present and future". One point which I addressed in a letter to the cognitive semioticists Jordan Zlatev: the LLMs have no consciousness, but "just" etc. [see in appendix "Reflections on Everything" (Listove) from "The Prophets"]. However I haven't read anything but my own thoughts regarding the following problem, which is valid for humans and their mind as well: WHAT[an LLM is] and WHERE *exactly* the LLM is located, why and who (evaluator-observer) sets the boundary exactly there (at what resolution of causality-control and perception) and what *exactly* it is when fully defined in order to function. It is not "just" the weights of the NN (what the h* is "NN" in the physical universe - it includes the whole hardware, all chips, all connected computers - your PC or smartphone, the routers, the Internet servers, the main GPU servers; it included the original data, the data in the memory (other representation); it includes also the *HUMANS* who interact, their biology, their states; it is a result of a chain of operations and activities of all related humans and other technologies and ultimately it requires the whole universe to be what it is. However, this is refuted and "vulgarized" to "they are algorithmic, they are "just 1s and 0s", "switches" (the earlier nonsense about computers, still defended e.g. by F.Faggin). No, computers are not "just 1s and 0s", and they emerged and operate in the same Universe as "humans"; besides humans are created and built also *WITH* the participation of all computers and technologies, i.e. humans are *PARTS of the machines* as well. "We are merged" without the need of "physical"/"short-molecular-distance"* way of interaction. See also an article about that in "The Prophets ..." in volumes: "Science Fiction. Futurology. Cybernetics. Transhumanism" and cited also as an appendix in the small monograph "Universe and Mind 6", which is related to this discussion. * Another school with this confusions (or choices) is "Relevance Realization", which is explaining definitions of Theory of Universe and Mind, published more than 20 years earlier, however they put a stamp "this is not computable", "the opposite of computation", while the original [work] claims it is computable, but hierarchical, multi-scale, multi-domain, multi-precision, preemptive, has "interrupts" etc., they are built by the same fabric of the Universe computer and they interact with it and fetch "sensory" data from the common "pool". The real computers are like that, they are not the primitive and abstract strictly serial, one scale, "fixed symbols" Turing machine outputting AAABBBBBAAAAC-HALT. --- References: * Stack Theory is yet another Fork of Theory of Universe and Mind, T.A. 2025, SIGI-2025, https://artificial-mind.blogspot.com/2025/09/stack-theory-is-yet-another-fork-of.html

* Reflections on Everything/Listove (Листове, Листове по всичко) - a volume from The Prophets of The Thinking Machines: Artificial General Intelligence and Transhumanism: History, Theory and Pioneers; Past, Present and Future, T.Arnaudov, 2025 https://github.com/twenid/sigi-2025 See the cited excerpt from Todor's letter to Jordan Zlatev on what and where the LLMs are (it will be published as an article/paper as well), after p.340 "* Sentience or consciousness of another “entity” is in the eyes of the evaluator * Thoughts from a letter by Todor Arnaudov to the cognitive semioticist Jordan Zlatev , 16.8.2025" * "We are merged..." - see my article, answering Tim Tyler's video, published both in Reflections on Everything and in the volume "Science Fiction. Futurology. Cybernetics. Transhumanism" from The Prophets ... *Коментар на Тодор Арнаудов към видеото на Тим Тайлър „Да се слеем [с машините]“ от 10.2023 Tim Tyler: Let's merge! (...), p. ~175 in Listove The text in English, posted on Youtube: Todor: IMO humans and machines - actually the technologies, the recognizable systems, entities in the Universe (and the ones which are not recognizable for now) are merged anyway. The human individuals as bodies, entities are one "view", "rendering", a way of sampling of the actual intrinsic representation of the underlying properties and processes. The same goes for any piece of hardware, computer, robot, any object. They are what they are under a particular sampling of the data, in another sampling they are physically, causally, energic-based etc. connected and part of the causality, influence, events network and interrelated. In one philosophical school humans are defined as the set of "social relations". Also human individuals without technology and starting from scratch with no previous culture and language, which is also technology, are not very much more capable than apes in the first generations, or in the first hundreds of thousands of years. Technology, the environment and previous recorded knowledge and the social, scientific and technological "software" that gets loaded into our minds, all from the whole universe allow human beings to be so clever etc. So we are part of the human-machine (technology) system anyway.

---

The distributed representation of humans and everything in a field-like form, the causal id/causal tags* theory etc. is discussed also in other volumes, such as "Universe and Mind 6" and "Is Mortal Computation Required for the Creation of Universal Thinking Machnes" at SIGI-2025. ** Note that "causal IDs" in my explanation are not referring to Michael T. Bennet's "causal identity" concept, but the match of similarly titled concepts in his fork (with unrecognized prior work) is funny. The causal IDs in my speculations are about hypothetical information and interaction entities or signals which allow or make the wholes, beings, systems to "feel" as a whole. I derived them from the insight that all systems in all scales and multi-scales encounter inevitable lags between their constituent parts, and these lags are varied. One way of a given causality-control unit - the building blocks in TOUM - to know that a signal is from a given whole, could be by special interactions and information, these "causal IDs", which could be updated and kept active for particular reasons, e.g. a chain of particular chemical, physical or whatever interactions within given .... etc. and fade. E.g. on the page on Github about TOUM in late 2023; most of "Universe and Mind 6" was written in the Spring of 2023 and in 2023-early 2024, but it was published as a completed monograph in 2025. https://github.com/Twenkid/Theory-of-Universe-and-Mind

  

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BgGPT-3 27B халюцинира и угодничи - Тест 1

https://youtu.be/4yOlcUC_x3I

Тестваме BgGPT3: дали най-мощният супермодерен* изкуствен интелект на Балканския полуостров, Източна Европа, Региона и размера си знае за българските пионери в българския изкуствен интелект? Тест №1. Халюцинации и угодничене ("sycophancy") от първите въпроси в две минути.

Тестван без сайта на INSAIT и без скъпа видеокарта от Свещеният сметач - авторът на оригиналната стратегия, която INSAIT присвоиха с 20 години закъснение,.ч :))

Четете в най-новото издание на книгата, корекции и редакции до 31.3.2026 г., първо издание: 31.3.2025. https://twenkid.com/agi/download.php?file=Purvata_Strategiya_UIR_AGI_2003_Arnaudov_SIGI-2025_31-3-2025.pdf

and on ResearchGate.

Гледайте в канала и другите тестове на предните BgGPT-та и представянето на истинския първи български GPT модел: GPT2-Medium-BG (2021), а не BgGPT (2024).

#bggpt #insait #ai #agi #bulgaria #comedy  #ml #kaggle

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Corrections and updates of the hyperbook: The Prophets of the Thinking Machine - AGI & Transhumanism (...)

Quick news

* 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.

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"Full unemployment is the goal - the gift to mankind of the AGI community (Eray Ozkural)" - a comment by Todor Arnaudov

 Публикацията на Eray Ozkural

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Eray Ozkural

5 д ·[15.3.2026]

Full unemployment is the goal.

This is our gift to mankind as the AGI community.

Make no mistake about it. We've always known this to be the case.

It's up to you, so-called "mankind", to make the best use of this wonderful gift.

Should you misuse this gift and create strife among your petty and egotistical selves, this should be attributed to your lack of intelligence.

Remember. It was us.

Todor Arnaudov [COMMENT #1]

Eray, I am not sure ... that this is the goal of the so called AGI community (or that there is one monolithic one), especially of the ones who are and who aim at monetizing it, unless they are cosmists/transhumanists. Our (mine) goal is "next step in evolution", being forever young, immortality, progress, being smarter and smarter, knowing more and more, being more capable etc. and also "free". "Employment" is a concept in *political states*, their organization as a world-system and the tightly coupled economy and the structures of the system around that social relations - either capitalism, socialism, something in-between, feudalism, and they all have some forms of slavery-like hierarchical relations of power and suppression. The communism in its "end-goal" is about making the political states obsolete, one of the directions predicted or aimed by the classic communists were the reduction of the difference between physical and mental labor (which has gradually happened and is happening now more illustrative with the display how elementary intellectual work actually was - that was known and suggested by prophets, e.g. me, decades ago). E.g.: https://artificial-mind.blogspot.com/2013/10/creative-intelligence-will-be-first.html

"Intellectual work will be done in 1 ms for free."*

However, if the system is "capitalism", the profit comes from having inequality, dependent inferior causality-control units which at the bottom are slaves - workers are also slaves, "wage slaves".

Besides, "power overrides intelligence" and intelligence alone doesn't produce profit - it needs power and material resources as well*.

Currently in the "bifurcation" point or so there are some radical paradoxes as well:

From one hand, automation, acceleration and "mass production" of "intellectual labor artifacts", promises for "abundance", while on the other hand - proposals for extension of the retirement age (e.g. in Germany, Netherlands), inflation, economical decline, wars which can lead to food and resources price hikes, famine for millions or billions etc.

There are declines or even recessions, not "economical growth" and humans in their current form need physical and material resources for which AI doesn't help yet or don't solve [the required problems] - e.g. the prices of homes, which reflect the social relations and distributions and property laws and they could be solved politically and economically - they are not about "AI".

Most of the humans, billions [of them] live in modest conditions or in misery and AI or AGI without physical and social and organizational transformations will not help them, they may be slaves for harvesting the mineral resources for the production of robots or live not much differently than now, like the general "futuro-anachronism" - primitive infrastructure, slums, people driving horse-cars, but with smartphones, tablets and talking to AI. ("Cyberpunk"-like clichés)

 

* [Exact citation: "(...) 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 inside-out  [upside down] for a while - the low-skill workers could get higher pay, because intellectual activities will be done in 1 ms for free... ;)", T.Arnaudov, 2.10.2013]

[1. See "Power Overrides Intelligence", SIGI-2025 and AGI List, my letter to Oxford University from 2012 and earlier publications about the "danger of AI" which are dangers of *HUMANS* and *POWER*, not of intelligence or superintelligence.

2. * Letter to Oxford, 2.2012:  https://artificial-mind.blogspot.com/2012/02/philosophical-and-interdisciplinary.html

3. * Power overrides Intelligence, 2025: https://artificial-mind.blogspot.com/2025/12/power-overrides-intelligence-agi-list.html

]

Todor Arnaudov [COMMENT #2]

One brief line I missed to add: "unemployment" in another social organization and relations where it means FREEDOM from the slavery of most humans in their work life. Unemployment in another sense, where "job" as something people are forced to do "in order to earn a living" is "unnecessary". However in current state (in both senses) this means "misery" and that's how humans are trained (like dogs) to believe that it is the only way. That "machines/AI will take their jobs", i.e. they will be left poor or to die, i.e. "AI/machines are evil", but not the humans and structures who are in charge and have the power to shape the social relations and the rules.

• 4 д
• Отговор
• Редактирано
  
  
  

+ What "the humanity" will receive depends on social, organizational, political, power-related etc. forces, not just on the "intelligence". Geniuses are usually powerless and nobody listens to them, unless they are connected and working for the Power, or they are not geniuses, but just "talents" and they have always been aligned with and served the Power and not "the intelligence"*: knowledge, progress, "true ground-breaking innovation" etc. (except the intelligence services, LOL, that special kind of "intelligence"). That is also one of the sources and reasons for the obsession of the "AI leaders" under the spotlight with "AI alignment" - making sure and securing that the machines will be slaves of the "right" master(s) and there won't be "unpredictable, uncontrollable" (undesirable for them and for their benefit) changes in this domain, because otherwise "it will kill "us" all", "exterminate the humanity" etc. bombastic infantile threats and fear-mongering, sent to the powerless and poor plebs, who have no power, neither financial, nor productional ("means for production") - they are mostly viewers, "observers".

+ 28.3.2026
* See older publications since 2002 from The Sacred Computer and Theory of Universe and Mind - there is no such monolithic and united entity as "humanity" or some "humanity's common goal". There is stratification, layers and contradictory goals.

 https://www.facebook.com/eray.ozkural/posts/pfbid0TXXNPa1WqnMGUoq9QjkhZookBSg87s4NoHdazvqJQLVV5gegCYNiUGzDQTgi8G5Pl?__cft__[0]=AZZNLCfdbUUeI6paSNukU5GsKWjDifpRLVRjUbU64bISUZGA9IRzXf5vjWBdrOQH5MRvUO57DYG-iD1bZvQWtsO4R05eie0S1NC7BtCgHkEOrRy7Ij-jNkH_ZBk8hocGKCie92I49dDEhET1OlsZ8onLnCuRdTVFY5UeyGqmnPSbZw&__tn__=%2CO%2CP-R

Russia aim at importing 12 million younger workers from the less-developed world until 2032 and keep the "veterans" working until older age.

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