of the modules in the fields of Network System (NetS) and Geographic Information System (GIS) of access places and access devices to the Ontologic Net (ON), Ontologic Web (OW), and Ontologic uniVerse (OV) of our OS respectively in our Ontoverse (Ov), such as all variants of our Ontoscope, including

go to plants and other facilities of a special society or business unit of our corporation.

We have already discussed a similar measure to enforce the rights and properties of C.S. and our corporation in relation to our Ontoscope (Os) worldwide.
Even better, this move to control the production and assembly of these goods allows to create more benefits for all members of our Society for Ontological Performance and Reproduction (SOPR), that already announced a more common foundation of our Ontologic Geographic Information System (OntoGIS).

We have already planned the related plants and other facilities around the year 2005 anyway. Now, their realization takes shape.
In this relation, we

For sure, we are aware about this problem with the supply chain, but we cannot see a problem with beginning to solve it and unbundling it. In fact, Apple itself is already locating plants to other countries, like for example Malaysia and India, and we are already improving logistics worldwide in general an for this matter in particular. Even better, we could construct our plants in the immediate vicinity or even directly in the plant properties of Apple and other manufacturers. Specifically, with the new Ontoscope Components (OsC), models, and variants such a move would provide several benefits at once.

Eventually, the situation is very similar if not equal to the situations in relation to our Ontologic Financial System (OFinS) and Ontologic Trustworthy System (OTwS or OTrustS).
But the newest insights about activities of certain countries in relation to economy and espionage provide another reason, which makes the move more inevitable.

For example, we even found out that certain governements do not stick to the agreement that the access places and access devices in our Ontoverse (Ov), which are owned and used by non-citizens of their states, are a taboo for their authorities, specifically in relation to restriction and surveillance of communications and searches.
Therefore, we will add functionality to enforce this agreement, for example an automatic geofencing in combination with cloud storage space storage, which can only be manually activated when the device and its owner or user are in a safe environment.

04.August.2022

02:21 UTC+2
Ontonics Further steps

Potentially at the end of the month September 2022, we will seek to obtain the application for a restrictive injunction due to the obvious infringment of the integrity and long-term abuse of C.S.. We are very sure to get several tens of thousand or even some hundreds of thousands euro in the worst case and as absolute minimum, but that is already a decision made by a judge.
The injunction

Keep in mind that replacing the cream of an Oreo cookie with toothpaste, giving it to a homeless person or rough person, recording how this person bites into the cookie and vomits on video, and showing the video on a video platform already resulted in a fine of around 20,000 euro and 6 weeks of imprisonment in Italy, European Union, whereby the latter was later suspended.

Also keep in mind that these actions against members of the Bad Actors Group #1 (see also the Further steps of the 31st of July 2022) are taking several weeks or some very few months, but not years.
Decisive actions against members of the Bad Actors Group #2 might follow As Soon As Possible (ASAP).
We are still living in an area with rule-based law and order.

05.August.2022

03:52 UTC+2
Ontonics Further steps

Potentially in the last months of the year 2022, we will seek to obtain the prohibition of Free and Open Source Hardware and Software (FOSHS) projects due to the obvious infringments of laws. We are very sure to get an unambiguous legal regulation for FOSHS projects in the worst case and as absolute minimum, but that is already a decision made by a judge.
The prohibition

We quote the Tax Code (TC) of the Federal Republic of Germany: "[...]
§ 52 Charitable purposes or Non-profit purposes or Public benefit purposes
(1) A corporation shall pursue charitable purposes if its activities are aimed at selflessly promoting the general public in the material, spiritual, or moral spheres. [...]
(2) Under the conditions of paragraph 1, the following shall be recognized as promotion of the general public:
1. the promotion of science and research; [(see also § 68 Individual special purpose enterprises, paragraph 9)]
[...]
3. the promotion of public health and public health care, in particular the prevention and control of communicable diseases, including by hospitals within the meaning of § 67, and of animal diseases;
[...]
5. the promotion of art and culture;
[...]
15. the promotion of development cooperation; [(not to be confused with the actual activity; see also § 68 Individual special purpose enterprises, paragraph 9)]
[...]
25. the promotion of civic engagement for the benefit of charitable, benevolent, and ecclesiastical purposes;
[...] [...]

§ 64 Taxable economic business operations
[...]
[...]

§ 68 Individual special purpose operations
[...]
9. Scientific and research institutions, whose sponsors are financed primarily by government or third-party grants, or by asset management. Contract research also serves the purpose of science and research. Special purpose operations do not include activities, that are limited to the application of proven scientific findings, the assumption of project sponsorship, and economic activities that are not related to research."

Comment
We can hardly recognize a non-profit character in any FOSS project, because

• generate an earning or profit in direct relation to that alleged non-profit activities,
• devalue, attack, and even destroy intellectual properties, goals, and integrities of competitors, and
• avoid tax levies.

Wir zitieren die Abgabenordnung (AO) der Bundesrepublik Deutschland: "[...]
§ 52 Gemeinnützige Zwecke
(1) Eine Körperschaft verfolgt gemeinnützige Zwecke, wenn ihre Tätigkeit darauf gerichtet ist, die Allgemeinheit auf materiellem, geistigem oder sittlichem Gebiet selbstlos zu fördern. [...]
(2) Unter den Voraussetzungen des Absatzes 1 sind als Förderung der Allgemeinheit anzuerkennen:
1. die Förderung von Wissenschaft und Forschung; [(siehe auch § 68 Einzelne Zweckbetriebe, Absatz 9)]
[...]
3. die Förderung des öffentlichen Gesundheitswesens und der öffentlichen Gesundheitspflege, insbesondere die Verhütung und Bekämpfung von übertragbaren Krankheiten, auch durch Krankenhäuser im Sinne des § 67, und von Tierseuchen;
[...]
5. die Förderung von Kunst und Kultur;
[...]
15. die Förderung der Entwicklungszusammenarbeit; [(nicht mit der eigentlichen Tätigkeit zu verwechseln, siehe auch § 68 Einzelne Zweckbetriebe, Absatz 9)]
[...]
25. die Förderung des bürgerschaftlichen Engagements zugunsten gemeinnütziger, mildtätiger und kirchlicher Zwecke;
[...]

[...]

§ 64 Steuerpflichtige wirtschaftliche Geschäftsbetriebe
[...]

[...]

§ 68 Einzelne Zweckbetriebe
[...]
9. Wissenschafts- und Forschungseinrichtungen, deren Träger sich überwiegend aus Zuwendungen der öffentlichen Hand oder Dritter oder aus der Vermögensverwaltung finanziert. Der Wissenschaft und Forschung dient auch die Auftragsforschung. Nicht zum Zweckbetrieb gehören Tätigkeiten, die sich auf die Anwendung gesicherter wissenschaftlicher Erkenntnisse beschränken, die übernahme von Projektträgerschaften sowie wirtschaftliche Tätigkeiten ohne Forschungsbezug."

Kommentar
Wir können bei kaum einen FOSS-Projekt eine Gemeinnützigkeit erkennen, da

• ein Einkommen oder einen Gewinn im direkten Zusammenhang mit dieser angeblich gemeinnützigen Tätigkeit zu erzielen,
• geistiges Eigentüer, Ziele und Integritäten von Wettbewerbern zu entwerten, zu attackieren und sogar zu zerstören und
• steuerliche Abgaben zu vermeiden.

05:55, 07:55, and 17:55 UTC+2
Investigations::Multimedia, AI and KM

*** Work in progress - quoting and commenting ***
Stanford University
The privately funded university Stanford University has stolen parts of our original and unique, copyrighted works of art once again. Significant evidences exist, which also points to the next illegal collaboration with the company Alphabet (Google), but also with the U.S.American government.
We quote a document, which is about so-called foundation models and was publicated on the 16th of August 2021 the first time and revised on the 12th of July 2022: "On the Opportunities and Risks of Foundation Models",
"AI is undergoing a paradigm shift with the rise of models [...] trained on broad data (generally using self-supervision at scale) that can be adapted to a wide range of downstream tasks. We call these models foundation models to underscore their critically central yet incomplete character. This report provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotic manipulation, reasoning, human interaction) and technical principles (e.g., model architectures, training procedures, data, systems, security, evaluation, theory) to their applications (e.g., law, healthcare, education) and societal impact (e.g., inequity, misuse, economic and environmental impact, legal and ethical considerations). Though foundation models are based on standard deep learning and transfer learning, their scale results in new emergent capabilities, and their effectiveness across so many tasks incentivizes homogenization. [Applying a brute force technique is no invention. In contrast, all points and properties are checked off by our Evolutionary operating system (Evoos) described in The Proposal and our Ontologic System (OS), and broad data was also available in the early 2000s as shown with an online encyclopedia, Common Sense Computing (CSC), and Linked Data (LD).]",
"This report investigates an emerging paradigm for building artificial intelligence (AI) systems based on a general class of models which we term foundation models.^2 [Our Evoos is a general system, obviously, and thus includes a general class of models, even as components of the os. As the creator and the copyright holder we do have and do reserve the right to name, term, or coin original and unique parts of our Evoos.]",

"Another complementary approach is to rely on volunteer computing, in which any of the billions of computing devices (nodes) can connect to a central server and contribute computation. [...] [Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts. 2020]" SuperBingo!!!

"Fig 4. This report is divided into four parts: capabilities, applications, technology,and society. [...][Our Evoos and Os have all capabilities and at least our OS has (relations to) all applications and technologies. The relation to the society is given by their classification as works of art, which start the discussions and provide the benefits.]",

"Fig. 6. Language Acquisition for humans and foundation models. While there are certainly different inductive biases between the human brain and foundation models, the ways that they learn language are also very different. Most saliently, humans interact with a physical and social world in which they have varied needs and desires, while foundation models mostly observe and model data produced by others. [This is blah blah blah, because what is wrongly called foundation models is only (a specific system component, which is) focused on (the mechancial reproduction of) a specific part of this human interaction. In the very end, machines are build by humans for humans, but not for machines.]",

"Fig. 7. By harnessing self-supervision at scale, foundation models for vision have the potential to distill raw, multimodal sensory information into visual knowledge, which may effectively support traditional perception tasks and possibly enable new progress on challenging higher-order skills like temporal and commonsense reasoning [...]. These inputs can come from a diverse range of data sources and application domains [...].[Bingo!!! See the chapter 5 Summary of The Proposal, see the Clarification of the ... in relation to proemial relation, Common Sense Computing (CSC), and Dynamic Semantic World Wide (DSWWW), and (the end of) the section Intelligent/Cognitive Agent of the webpage Links to Software of the website of OntoLinux.]",

{we continue quoting and commenting on the 6th of August 2022; reording later}

"Fig. 8. Building new types of foundation models for robotics will require massive datasets spanning diverse environments and behaviors. Simulation, robotic interaction, videos of humans, and natural language descriptions could all be useful data sources for these models. [...] [Hopefully, we do not have to explain that our Evoos also includes the Immobot approach and the holonic InteRRaP hybrid agent architecture, which is also used for self-organizing Swarm Intelligence (SI) of real robots. In case of our OS, the matter is even more obvious by a look at the webpage Ontologic Applications and Ontologic Services (OAOS), the sections Automation, Machine Simulation, and Robot Simulation of the webpage Links to Software, and the sections Robotics, Prosthetics, and Rapid Prototyping Machine of the webpage Links to Hardware of the website of OntoLinux.]",

"Fig. 9. Multimodality can allow foundation models to not only reason with formal symbolic language, but also exploit visual aspects of the problem, such as equivalence, symmetry, and Euclidean geometry, to prune the infinite search space and find promising constructions for a solution [...], mimicking the way humans reason about geometry problems. [We simply say Multidimensional Multidomain Multilingual Multiparadigmatic Multimodal Multimedia technologies (M⁶x) and OS.]

"Fig .10 Left: A reaction route [...] predicted by machine learning-based drug retrosynthesis planner [[...] 2020; [...] 2021]. Right: A sample proof tree in propositional logic where the formulas outlined in green represent axioms. Although they arise from different domains, both trees are structurally the same. [Guess why Arrow Logic (AL), Arrow System (AS), Evoos and OS are based on the binary-relational model and the graph-based model. We simply say once again Multidimensional Multidomain Multilingual Multiparadigmatic Multimodal Multimedia technologies (M⁶x) and OS.]",

"Fig. 11. Foundation models will bring significant opportunities to developers by lowering the difficulty threshold for building AI-infused applications, and to the application users by raising the ceiling for what types of interactions are achievable. In some cases, the line between developers and users will start to blur, and users may be able to easily develop their own AI applications, for instance with natural language. [We call these general features of our Evoos and our OS Ontologic Computing (OC), and Ontologic Applications and Ontologic Services (OAOS) since 2006.]",

"Fig. 12. Foundation models in healthcare and biomedicine. We visualize an interactive framework where foundation models enable various tasks across healthcare and biomedicine when trained on multimodal data generated by various sources in the healthcare ecosystem. The first column lists several sources of data, including care providers, payers, institutions (universities, non-profits, and governments), pharma, wearables, and medical publications/forums. The second column shows several data modalities generated by the data sources. They include images (e.g., chest X-rays), videos (such as ultrasounds), graphs of chemical compounds, tables for electronic health records (EHRs), text such as clinical notes, time series such as ECGs, and genetic data. The third column visualizes a foundation model trained on such data and then applied to healthcare and biomedicine downstream tasks listed in the fourth column. This process can generate new data that will further improve the foundation model, hence the bidirectional relation between the foundation models and the tasks. [See for example the section Human Simulation/Holomer of the webpage Links to Software of the website of OntoLinux and also the project Holomer and all the other projects related to the fields of medicine and healthcare in the Innovation-Pipeline of Ontonics. Also recall that we call the fields Medicine 4.0 and 5.0 and Healthcare 4.0 and 5.0 in relation to our Industry 4.0 and 5.0 since the year 2019.]",

"Fig. 13. An example of various steps of a civil case in the United States and where foundation models might help. At each stage different modalities might need to be processed and adaptation is needed to a new court or legal perspective. [See the website of Ontologics.info, where the subject matter Society→Legal and many more fields are listed, which are exemplary fields our OS is designed for.]",

"Fig. 15. Foundation models in education could be trained on multiple data sources to learn the capabilities necessary for education: an understanding of various subject matter and different pedagogical techniques. [...] [Our Evoos is based on connectionism, subsymbolic and symbolic computation, epistemology, and constructivism (e.g. Piaget) (see the chapter 4 Piaget und künstliche Intelligenz==Piaget and Artificial Intelligence of The Proposal), and our OS is used in the field of eduction, as can be seen with for example the learning envrionments Sugarfox and Salt and Pepper (Salt 'n' Pepper or S&P) in the Innovation-Pipeline of Ontonics.]",

"Fig. 16. The figure illustrates a system that embeds signals from various modalities (image, speech, sign, text) and languages into a universal feature space. Such a feature space allows ideas to be linked across modalities and languages. Pedagogically relevant link types include analogies (similarities across languages) and contrasts (distinct concepts across languages), both of which can occur in the same modality or across different modalities. [Maybe we have forgotten to mention that our Evoos is a mutlimodal system and our OS is based on our Multidimensional Multidomain Multilingual Multiparadigmatic Multimodal Multimedia technologies (M⁶x).]",

"Fig. 17. The five key properties of a foundation model: expressivity - to flexibly capture and represent rich information; scalability - to efficiently consume large quantities of data; multimodality - to connect together various modalities and domains; memory capacity - to store the vast amount of accumulated knowledge; and compositionality - to generalize to new contexts, tasks and environments. [first of all, for legal reasons, we should state that C.S. as the creator has the right to define what a so-called foundation model is, which implies what its key properties are. Obviously, our Evoos and our OS have all these properties: expressivity and scalability are given by the cybernetic and cognitive foundations (see the Arrow System of the TUNES OS, the TUNES OS, and also the virtually equivalent Distributed operating system (Dos) Aperion (Apertos (Muse))), multimodality is self-explanatory, if not see the related comments before, memory capacity is a matter of budget, but was already available in 1999, and compositionality is given in the chapters Komponenten eines Betriebssystems== Components of an Operating system and 2.7 Neue Anforderungen an Betriebssysteme aus der Sicht der Software-Technologie== New Operating system Requirements from the Perspective of Software Technology, because the subfield Component-Based Software Engineering (CBSE) or Component-Based Development (CBD) is based on software development patterns or software design patterns.]",

"Fig. 18. During adaptation, a foundation model is converted into an adapted model [...] in order to reflect updated information, desired behaviors, or deployment constraints. [We already explained in the comment to the quote of the caption of the figure 2 above that our Evoos must have this capability as a reflective operating system and Cognitive System (CogS).]"

"Fig. 23. The one model-many model nature of foundation models: A central interpretability question is to understand where a foundation model lies on the spectrum between one model and many models. As one model, behavior can be made interpretable by identifying and characterising the finite number of generalizable model mechanisms used to produce behaviors across tasks [...]. As many models, explanations of model behavior in one task are not necessarily informative about behavior in other tasks, thus requiring the independent study of behavior in each task. [A basic property of our Evoos and our OS is (mostly) being reflective/fractal/holonic. OS Architecture (OSA) integrates all-in-one.]",

"Fig. 24. The intrinsic bias present within foundation models is the byproduct of various training bias sources (left) which, alongside biases introduced during adaptation, determines the extrinsic harms (right) experienced by users in the context of specific downstream applications. [This is the result of the brute force approach, which is the reason why we prefer a hybrid holonic Immobot architecture with subsymbolic and symbolic foundations and rationality.]",

We also quote an online encyclopedia about the subject foundation models: "The [responsible unit at that university] described a foundation model as a "paradigm for building AI systems" in which a model trained on a large amount of unlabeled data can be adapted to many applications.[5][6]"

Comment
Without any doubts, the foundations of this paradigm for building Intelligent Systems (IS or IntS) and Cognitive Systems (CogS) were also created with our Evoos and fine-tuned with our OS respectively cybernetic self-portrait, cybernetic self-augmentation, and cybernetic self-extension, and also cybernetic self-reflection and therefore are part of our Ontologic Paradigm with its general Ontologic Model and appropriate transformations of ontologies, knowledge, informations, and all other kinds of data on this Ontologic Model respectively abstract machine core, including the foundational ontologic model [respectively abstract core] of our OS functions like a brain.

We only read the Abstract (page 1) and the first section of the chapter Introduction (page 3) of the misleading document respectively plagiarism to got the impression that it was written solely to mislead the public about our Evoos and OS.
And indeed, it took only some few more sections on the next page (page 4) to got enough evidences, which prove our impression and suspicion that our original and unique works of art have been used as blueprints and foundations for illegal and even serious criminal activities.
And on the next page (page 5) we have multimodal models, which even lets non-experts recognize the fraud.
And on the next pages (pages 6 and 7) our copyright is confirmed, because only our Evoos and OS remain as the original and unqiue works of art.

And we are the creators, and the copyright holders, and the competences, and the ones, who

In fact, it is another fraud of Alphabet (Google) done in collaboration with the Universities of California, U.S.America, which has been conducted even more aggressively with for example presenting unsubstantial and even irrelevant and wrong prior art and hundreds of authors to mislead the public in these ways as well, because they have nothing else then psychological tricks, copies, lies, and other fraudulent and even criminal actions.
And we do not expect that the situation will improve by reading the remaining 200 pages.
What is called Self-Supervised Learning in that quoted document is called hybrid learning and the related model is called distributed or hybrid and modular connectionist model.
That quoted document also references another document, which is often cited in the course of this overall fraud, for example on the webpage about the subject Self-Supervised Learning of an online encyclopedia.

• Neal, R.: Connectionist learning of belief networks. 1992.
• Hinton, G. E., Dayan, P., Frey, B. J., and Neal, R.: The wake-sleep algorithm for self-organizing neural networks. 1995.
• Hinton, G. E.: Training products of experts by minimizing contrastive divergence. 2002.
• Ning, F., Delhomme, D., LeCun, Y., Piano, F., Bottou, L., and Barbano, P. : Toward automatic phenotyping of developing embryos from videos. 2005. Bingo!!!

Obviously, G. E. Hinton is responsible and just another busted senior, who thought to be oversmart by stealing our works of art.

The self and the automatic and also the Computer Vision (CV) to the hybrid learning approach, including Unsupervised Learning (USL) and Supervised Learning (SL), and Self-Supervised Learning (SSL), and multimodality was already created with our Evoos, as explained in the note Summary of website revision of the 21st of June 2022, which is even confirmed by that plagiarism of the Stanford University.
In fact, prior art is only about Multimodal User Interface (MUI) and Machine Learning (ML) for tracking the presence and the position of a user by a camera, but no Natural Language Processing (NIP), Natural Language Understanding (NLU), Natural Image Processing (NIP), Natural Image Understanding (NIU), semantics, and so on, and therefore no what is wrongly called supermodel and Mixture of Experts.
Another prior art is about the field of Model-Based Autonomous System (MBAS) or Immobile Robotic System (ImRS or Immobot) with "immobot control of its complex internal functions, elaborating quantitative details of qualitative models (learning a quantitative model given a proportional dependencies of quantities)" and
{?combines or} fuses

But again, our Evoos also integrates the immobot, while SIF-VW and CoMMA-COGs lack Computational Intelligence (CI or ComI), and Soft Computing (SC or SoftC), and also Cybernetical Intelligence (CI or CybI), as well as fusion of realities and therefore Augmented Reality (AR) and Augmented Virtuality (AV).
We also have the impression that the updated version of SIF to SIF-VW and the integration of SIF-VW with CoMMA-COGs is also based on our Evoos.

Indeed, one can see now once again that they want to circumvent ontology and logic-based by using for example a unified architecture, an integrated subsymbolic or parallel distributed process, or distributed connectionist, or distributed neural network architecture (see for example the document titled "Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations" 1994, DIstributed SCript processing and Episodic memorRy Network (DISCERN) subsymbolic model and integrated connectionist architecture respectively distributed neural network model), and a hybrid architecture, a dynamic symbolic architecture (see for example the document titled "Dynamic Symbol Systems" 1994), and also an integrated architecture Knowledge System (KS) or Knowledge-Based System (KBS), or Expert System (ES), and Soft Computing (SC or SoftC).
See once again the Clarification of the 29th of April 2016.
But DISCERN and all the other subsymbolic respectively connectionist and behavior-based / behaviour-based or behaviorist systems, DSWs, KBSs and ESs with or without the other subfields of SC lack one or more of the other required fields, like for example

which all are also included in and created or integrated by our original and unique, copyrighted masterpieces, and eventually what they are stealing is our original and unique, copyrighted Evoos with its EosA and OS with its OSA.

We also learned that the

Do not fall prey to any illusions, because this was a gatecrash, as we also documented some years ago in the cases of the

in relation to other Ontologic System Components (OSC) and Ontoscope Components (OsC), and the

in relation to the smart contract transaction protocol, the blockchain technque, and our Distributed Ledger Technology (DLT).
But this time it will have serious legal consequences. See for example the

At present, we cannot see

Last but not least, they are now where we were in the early 2000s and when we concluded that Common Sense Computing (CSC), Linked Data (LD), and other stupid brute force approaches, like the one Google and Co. prefer, will not work in many cases without

And no, we do not wait until they take our set of ontologies and so on to continue with feeding their monsters.

07.August.2022

05:28 and 17:18 UTC+2
Considerations about Ontologic Model

In notes, explanations, clarifications, and investigations of the year 2016, we explained some more foundations and aspects of our Evoos created in the year 1999 and our OS created as its successor until the year 2006 in more detail respectively we resolved their minimalistic descriptions more and show how to understand and interpret these masterpieces better.
Other entities have taken these publications as blueprint for what is wrongly called foundation model, supermodel, transformer, perceiver, and so on, as proven by their shift of focus and interest, and resulting works and publications.
But these (modular multimodal) Machine Learning Models (MLMs) are functions respectively transformations, computations, or processings of input to output, which belong to the Ontologic roBot (OB or OntoBot) component and are implemented in software as subfunctions, subcomponents, or subservices of the Ontologic System Components (OSC) and in hardware as subfunctions, subcomponents, or submodules of the Ontoscope Components (OsC).
Therefore, the term foundation component viewed as a subcomponent of the OntoBot, or at least of the OSC and the OsC would also fit.

We already have our Ontologic System (OS) with its ontologic model and foundational ontologic model.
Obviously, the so-called foundation model and supermodel are types of (is a) ontologic model respectively are included in our ontologic model, because MLMs belong to our fields of HardBionics (HB) and SoftBionics (SB), our Evolutionary operating system Architecture (EosA) and Ontologic System Architecture (OSA) integrate all-in-one, and the foundational ontologic model of our Evoos and our OS functions like a brain.
We even have the impression that the term foundation model is merely a different designation for the related part of our Evoos and our OS, specifically in relation to the holonic model respectively "one model-many model nature" and the multimodality.

Therefore, we would only accept the terms foundation model and supermodel in conjunction with the term ontologic.

Furthermore, our Society for Ontological Performance and Reproduction (SOPR) also demands unrestricted access to raw signals and data, and common infrastructure, which would comprise any common model anyway, specifically these MLMs and holon model (one model-many model) and multimodality.
In this relation, we also suggested to locate some of our data centers on the premises of data centers of Space Computing Providers (SCPs) or in close neighbourhood, if no space is available on a premise respectively on a lot or in a data center.
This also allows to operate and manage all the other subsystems and platforms of the infrastructures of our SOPR and our other Socities, such as the Ontologic eXchange (OX or OntoX) and Ontologic Bank (OntoBank) Ontologic Payment system (OPS or OntoPay) and Ontologic Exchange (OEx or OntoEx), and the fabrics directly at the locations, where the processes and tasks originate or have to be done, which would make the SCPs Main Contractors (MCs) by design, so to say.
This also allows that our Societies can connect and integrate the other sets of fundamental

• facilities,
• technologies (e.g. systems and platforms),
• goods (e.g. applications, devices, and vehicles), and
• services

of the infrastructures, which are unrelated to the Space and Time Computing and Networking (STCN) infrastructure respectively overlay, establishing the overall Ontoverse (Ov) seamlessly.

By the way:

11.August.2022

21:20 UTC+2
OntoLix and OntoLinux Further steps

We noticed the development of a cybersecurity schema framework, which most potentially will be implemented on the basis of the eXtensible Markup Language (XML) and the Resource Description Framework (RDF) based on XML, and consider this activity as the demand for an ontology in the field of cybersecurity on the basis of Web Ontology Language (OWL) and other suitable and common forms (e.g. triple, JSON, other ML, logic, rule-based), though a focus on one or some very few formats would be better for overall harmonization and standardization.

Potentially, we can reuse already existing matter of the field of resilience and also integrate the matters of both fields in an advantageous way.

12.August.2022

Ontonics Blitz Fund I #27.4.15

Our Game Changer™ and Superbolt™ #4 Electric Power (EP) is pleased to share the information that the worldwide test of our Quick Swap™ battery system is already in full charge and swing worldwide.

© :(

EP does not only test, but also produces and delivers its uncomparable high-performance electric storage devices, systems, and services worldwide, including U.S.American batteries for Pure Electric™ vehicles and utility-scale batteries for Purely Electric™ grids.

Superbatteries are always included.
Our fans and readers already do know that we do not use AAs or AAAs, though the shown size is not unrealistic for production vehicles (see also the Ontonics Further steps of the 9th of September 2019), and it is becoming even much better.

Sign our delivery contract today and for even more benefits also sign our license contract.

Ooops, now we have revealed a potential business partner or takeover candidate. :D

Style of Speed Further steps

We already demanded stricter regulations for aerial vehicles with Vertical Take-Off and Landing (VTOL) capability regarding crash safety and noise emission.

For sure, after we talked about a parachute every fraudster in the U.S.America, Europe, Asia, and elsewhere claimed to have a parachute installed, and after we talked about the Whisper™ capability and Silent Service™ technology of our VTOL aircrafts every fraudster claimed to have a very silent aircraft.
But what we have seen so far are hybrid aircrafts, which are not more silent in flight than a comparable aircraft with wings, and the noise generated when taking off or landing is not demonstrated to the public at all.

The first authorities have recognized the potential for fraud in this industry and at least announced regulations that demand the specification and documentation of all instruments and arrangements of a test environment and how the noise has to be measured by a manufacturer.

Now, we demand more stricter regulations once again, which is a crash safety protection, which again guarantees that an aircraft does not fall or glide down in case of loss of propulsion with a velocity higher than 4 km/h or 1.11 meter per second, so that it should not be life-threatening if a human is hit at the head or other body part.

14.August.2022

Ontonics Further steps

In relation to the Further steps of the 1st of August 2022 we would also like to suggest that we could directly assemble the Superbatteries of our Superunicorn #4 Electric Power (EP) into the products as well, when adding the modules of the fields of Network System (NetS) and Geographic Information System (GIS).

Even all the variants of our Ontoscope on Wheels or Ontoscope with Wheels, and other devices and vehicles based on our Ontologic System (OS) and our Ontoscope (Os) could be fitted with EP Highpower to Win™, if the Quick Swap™ battery system of EP is not required.

Ontonics Blitz Fund I #28.4.16

We came from flexible and small batteries, so that these properties are not problems at all, but making very thin and very small versions of them are new properties.
Correspondingly, our Superbolt™ #4 Electric Power (EP) is pleased to announce the beginning of the development and design of micro versions of our super electric energy storage technology.

22.August.2022

10:41, 11:22, and 12:23 UTC+2
Investigations::Multimedia

Meta (Facebook)
We noticed that the company Meta (Facebook) acquired the company Mapillary, which already is an OntoEarth clone based on the OpenStreetMap (OSM) providing related Ontologic Applications and Ontologic Services (OAOS) for sharing crowdsourced geotagged photos.
With the purchase Meta (Facebook) even increased the copyright infringement of Mapillary and did its next copyright infringement, because it merely did what we announced in the Ontologic Web Further steps of the 26th of July 2017. Note that we publicated at first "integrating some services of Facebook" and then substituted "Facebook" with "other social networking platforms" at the same day or some few days later.

For sure, Meta (Facebook) was allowed to license the performance and reproduction of this part of our Ontologic System (OS) at that time. But like in the cases of the other members of the Bad Actors Group #1, including the companies Alphabet (Google), Microsoft, and Porsche SE/Volkswagen, the company Meta (Facebook) has already shown multiple times before the year 2020 and in the following months that it does not want to comply with all kinds of laws and regulations being effective. Meta (Facebook) even claimed for our creations, for example our

Distributed Ledger Technology (DLT) and related Ontologic Applications and Ontologic Services (OAOS), including our

• digital and virtual currencies (e.g. cryptocurrencies based on DLT), and also
• systems and platform (e.g. Decentralized Finance (DeFi) system and crpyto exchange platforms),

and our

Furthermore, it

• Apache Big Data technologies (BDx),
• PyTorch Machine Learning (ML) framework,
• Linux Asynchronous Input/Output (AIO) library,
• Web2Vec Machine Learning (ML) model,

It does not look good for Meta (Facebook). Better responsible persons go away, for example to Kaua'i, Hawaii, U.S.America, and enjoy family life before it is too late and another gate opens, though some smaller balls are already rolling. :)

By the way:

23.August.2022

09:27 and 11:44 UTC+2
Success story continues and no end in sight

The so-called Deep Learning (DL) revolution was started with our original and unique works of art titled Ontologic System and Ontoscope, and created by C.S. in the years 1999 to 2005 and publicated at the end of October 2006 as part of the further development and refinement of our original and unique work of art titled Analyse und Entwurf eines Betriebssystems nach evolutionären und genetischen Aspekten==Analysis and Design of an Operating System According to Evolutionary and Genetic Aspects, also titled Evolutionary operating system and abbreviated as Evoos and created by C.S. in the years 1998 to 1999, discussed since the February or March 1999, and publicated on the 10th of December 1999. All other early developments and achievements presented are dated 2011 and 2012, and based on features of our Ontologic System (OS), which indeed already existed since many years and hence were not new in 2011 anymore. But as we always explain, virtually nobody took the risk to lead in total contrast to us once again, as usual.
There is no doubt anymore that the publication of our stellar OS was the major and outstanding event and triggered all succeeding developments and achievements.
This fact is also proven since many years with the mobile technologies, applications, devices, and services based on our original and unique work of art titled Ontoscope and created by C.S., which is also based on our Evoos, with which C.S. already

• new kind of reality, also called New Reality (NR) and including the field of eXtended Mixed Reality (XMR) or eXtended Reality (XR) respectively Fusioned Realities (FR) and their (information) spaces, envrionments, worlds, and universes,
• new kind of philosophy,
• new kinds of art, including new photography, shooting, and recording, and also digital, virtual, and cybernetic self-expression in general and cybernetic self-portrait, cybernetic self-augmentation, and cybernetic self-extension, and also cybernetic self-reflection in particular,
• new kind of science,
• new kind of trust and belief system respectively trusted environment,
• new kind of operating system (os) respectively computing and networking environment,
• new fields of sciences,
• new fields of Autonomic Computing (AC or AutoC) and Autonomic Networking (AN or AutoN),
• new fields of Resource-Oriented Computing (ROC) and Resource-Oriented Networking (RON),
• etc.,

and

• Cybernetics (Cyb),
• Robotics (Rs),
• Bionics (Bs),
• Artificial Life (AL),
• Artificial Intelligence (AI),
• Machine Learning (ML),
• Computational Intelligence (CI or ComI),
• Artificial Neural Network (ANN),
• Evolutionary Computing (EC),
• Soft Computing (SC or Soft C),
• Cognitive Computing (CogC),
• Mediated Reality (MedR), including Mixed Reality (MR), including Augmented Reality (AR) and Augmented Virtuality (AV),
• Wearable Computing (WC or WearC),
• Humanistic Computing (HC or Human C),
• etc..

Batteries are always included and proper referencing, naming, or labelling always legally required worldwide.

15:20, 16:48, and 17.39 UTC+2
Porsche SE/Volkswagen blacklisted

We have discussed and docmented the overall issue with that company and its subsidiaries more than sufficiently and adequately over the last 16 years and it is time to move further. The following issues were only conducted in the last months:

© Porsche and Style of Speed

Also look at the images of the rear in the Style of Speed Further steps of the 28th of March 2015, which already shows the basic idea for the black section and the transition to the fenders, and the image of the 9EE RSR (2021) in the Style of Speed Further steps of the 9th of January 2021, then just take the basic design lines and make some updates, for example extend the black section and the diffusor in the middle of the model 935 Hommage to the sides, and note that the model RGT 4.2 already has such a wide diffusor and the model 935 Hommage already has such a wide black section, and keep the 2 red cat's eyes of the model GT2 RS at their locations, see also the Style of Speed Further steps of the 4th of March 2015 for the Active Wing, and then count one and one together.
They even copied the position of the swan necks of the rear wing and the classic Entenbürzel==duck ruffle or duck tail (the little rear spoiler).
Also recall that Porsche has already stolen the idea of the model 911 (991.2 2016) GT2 RS 935 Hommage from us before. We simply took some parts of our original and unique conceptual work of art back with the design shown above, but were not sure if we should publicate the images already on the 21st of November 2018 and risk the usual direct stealing from our website or just observe if they steal it from our computer directly. Obviously, we invested a little in the latter to get much more valuable insights.
In anticipation of the developing stealing in relation of our model series 9x9 and 91x, and also a Pure Electric Sports Car™™, which are also related to the matter documented in the Investigations::Car of the 16th of April 2022 and shown in other manipulated and fabricated video reports produced and presented by other well known fraudulent companies and persons with close ties to the brand Porsche at the same time in a highly suspicious way, and because we got the information and confirmation how the anticipated Active Wing functions, we publicated the next images of the model series 91x in the Style of Speed Further steps of the 17th of April 2022 and the model 9EE RSR (2022) in the Style of Speed of the 28th of April 2022.

As always, the bad loosers are very unsportsmanlike and never compliant with the rules.
Wie immer, die schlechten Verlierer sind sehr unsportlich und nie regelkonform.
In this sense: Dreams of others have shaped us. But unsportsmanship and rudeness have formed us.
In diesem Sinne: Träume anderer haben uns geprägt. Aber Unsportlichkeit und Regellosikeit haben uns geformt.
But maybe that nasty attitude and that big mouth are just proof that one is very aware of one's own dependence on us.

Needless to say, companies, like for example Bugatti-Rimac, Holoride, and so on, are also addressed and affected by this blacklisting, for sure.

Bad luck that their vehicles and services are also based on and equipped with our original and unqiue, personal, copyrighted, and prohibited for fair use works of art created by C.S., and exclusively managed and exploited by our Society for Ontological Performance and Reproduction (SOPR) with the consent and on the behalf of C.S., and that they do depend on our goodwill and the markets in the U.S.America and the P.R.China. and we definitely have the better arguments in both cases, specifically in relation to any allowance and access by us.
But eventually, we do not need any argument at all for our decison making.

By the way:

24.August.2022

17:27 UTC+2
CNN refuses democracy and lies again

We quote a report, which is about the U.S.American Federal Trade Commission (FTC), the company Meta (Facebook), and our Ontoverse (Ov): "[...]
The closely watched lawsuit is a both a bellwether for Meta as it seeks to pivot significantly into the virtual reality space - which Zuckerberg and others have sought to re-brand as "the metaverse" - as well as the FTC, which in bringing the suit is attempting to showcase the potential future harms companies may inflict on competition in new and emerging industries."

Comment
Because that environment is also based on Mixed Reality (MR), including Augmented Reality (AR), as proven with the illegal copy of our Augmented Reality (AR) glasses in the design of the Ray-Ban Wayfarer called Ontoscope MultiGlasses Architecture iRaiment Rayfarer, aka. MultiRay-Ban Wayfarer, by the company Meta (Facebook) and the similar activities by the companies Alphabet (Google) (Google Glasses, MagicLeap, and North formerly Thalmic Labs), Microsoft (Hololens), and many more, it is not the metaverse, but our Ontoverse (Ov).

According to the

C.S. has the worldwide exclusive right to be properly referenced and named and to decide how C.S. and our creations are called and presented world wide due to the moral rights, which even holds if an artist sells an artwork, because moral rights are unalienable personal rights.
All other entities do not have the right to change anything, specifically to re-brand the original and unique ArtWorks (AWs) and further Intellectual Properties (IPs) included in the oeuvre of C.S. in whole or in part.

We already discussed the matter multiple times and made always clear that C.S. holdd the moral rights at least, which include the rights to

But we also repeat once again that

• required causal links with our unforeseeable and unexpected, personal works of art, and
• use of our works or art as sources of inspiration and blueprints,

situation allows no cherry picking due to these reasons, even not in relation to technical designs like a model and system architecture of an Application Programming Interface (API),

Furthermore, if other entities call our Ontoverse (Ov) the metaverse, then such a wrong, fraudulent, illegal, and even criminal act does not give any other entity the right to do so as well, specifically the large media companies, that do know this and other related facts.

We are already in the process to enforce the use of the correct desgination at the courts worldwide, because our proposed compromise and out-of-court agreement have been rejected by too many governments, companies, and other entities, and related activities of us have been frustrated, undermined, or otherwise disturbed in illegal and even serious criminal ways.

26.August.2022

11:18, 12:00, 15:10 UTC+2
Deutsche Telekom added to Bad Actors Group #1 and blacklisted

Our Society for Ontological Performance and Reproduction (SOPR) has blacklisted the partially State-Owned Enterprise (SOE) Deutsche Telekom due to conspiracy, which shows the same patterns of illegal and even serious criminal activities between the companies Space Exploration Technologies (Space ExiT) and Deutsche Telekom, which again we have already documented in the cases of the conspiracies of the companies

and which all openly implement and license our properties as illegal Free and Open Source Software (FOSS) and continue with mimicking and slavishly imitating C.S. and our corporation.
This shows that like in the cases of Alphabet (Google), Microsoft, Porsche SE/Volkswagen, Tesla Motors, and Space Exploration Technologies (Space ExiT), Deutsche Telekom has not stopped with damaging the goals and even threatening the integrities of C.S. and our corporation, including our SOPR.
But the whole criminal scandal might even be much bigger and include much more entities and actors.

We already wanted to make a note about the next step in this giant criminal scandal after a pattern of same activities and supporting activities by governments and companies emerged. Now the puzzle pieces already collected and assembled show how the final picture will look like.

Note that our SOPR has already blacklisted Space Exploration Technologies (Space ExiT), which is now cast in stone with its "open invitation to carriers around the world", also following an already known and documented pattern of fraudulent and even criminal activities, as conducted in the fields of Electric Vehicles (EVs), self-driving cars and robotaxis, Artifical Intelligence (AI), and illegal cryptocurrencies before, and that the Deutsche Telekom with its subsidiaries is not allowed by the related regulations in the Articles of Association (AoA) and the Terms of Services (ToS) of our SOPR to connect networks and provide reciprocal roaming as announced, because

Also note that even under the proposed ownership regulation Space ExiT would not get any allowance to collaborate with the U.S.American subsidiary T-Mobile US, because our SOPR would hold 51% of the voting shares of T-Mobile US and enforce the blacklisting without making any further considerations until the founder of Tesla Motors and Space ExiT has fulfilled our requirement for the withdrawal of the blacklistings.

Do not be fooled by that announcement, because it should only keep the next Ponzi scheme with Space ExiT alive and the performance is worsening even more, as other experts and we already explained multiple times and the U.S.American Federal Communications Commission (FCC) has confirmed some weeks ago (see also the by note below).
But wait a minute, normal 5G devices, which are sending and receiving in the midband spectrum, are not able to transmit over such large distances at all.

It will also face significant resistance by market regulators, because creating our new network as our extra layer as proprietary infrastructure, which is not part of the exclusive infrastructures of our SOPR, is unacceptable and said invitation of other carriers as part of an open infrastructure will only result in strong measures up to blacklisting of Communication Service Providers (CSPs) (e.g. carriers) by our SOPR.

Also note that both Porsche SE/Volkswagen (20%) and Deutsche Telekom (16.6% Kreditanstalt für Wiederaufbau==Credit Institute for Reconstruction (the highly dubious state-owned development bank), 13.8% F.R.Germany, 1.67% Statens pensjonsfond or Oljefondet==Government Pension Fund of Norway, which sums up to 30.4% by F.R.Germany alone and 32.07 all together) are partially State-Owned Enterprises (SOEs), and that the companies BlackRock holds 4.7 % and SoftBank holds 4.5 % of the shares, which does not improve the overall situation, because both are already partially blacklisted due to their activities in the field of illegal crypto businesses.

By the way:

29.August.2022

23:33 and 25:11 UTC+2
Some companies short before alone at home

We simply repeat that the License Model (LM) of our Society for Ontological Performance and Reproduction (SOPR) needs no further revision.

But the non-labelling option might go away, as is the case with illegal FOSS, such as

The strategy of "Delay is the new denial" will not work anymore, because now the clock is ticking and time is running out: Until the 8th of November 2022 12:00 PM all illegal FOSS is deleted or labelled immediately, or we take legal actions to do it.

By the way:

• such a combination, composition, or integration presented by others before us is not known to us at this time,
• such a foundational cognitive model and connectionist model, which compresses or encodes large amounts of signals and data in such a way that they are utilizable in general ways, is a conceptual, structural, functional, and operational part of our Evoos, even if it is only focused on the field of Computational Linguistics (CL) respectively Natural Language Processing (NLP) and Natural Language Understanding (NLU),
• our Evoos and our OS were taken as source of inspiration and blueprint (once again), and
• all matters listed before are not related to an Application Programming Interface (API) and therefore the API loophole and other fair use exceptions to the copyright protection are not applicable in this case.

Affected are for example

and most potentially

• "Integrated Connectionist Models: Building Al Systems on Subsymbolic Foundations" (Distributed SCript processing and Episodic memoRy Network (DISCERN)) (1993, 1994), "Modular Integration of Connectionist and Symbolic Processing in Knowledge-Based Systems" (MIX) (1994, 1995), and "An Overview of Strategies for Neurosymbolic Integration" in "Connectionist-Symbolic Integration: From Unified to Hybrid Approaches" (1997) are only about the integration of the fields of ANN (subsymbolic) and AI (symbolic),
• "Software Agents and Soft Computing: Towards Enhancing Machine Intelligence" (1996, 1997) and "Approaches to Incorporating Soft computing Technologies into Software Agents" (1999) are only about the integration of the fields of Soft Computing (SC or Soft C) (e.g. Fuzzy Logic (FL), Artifiical Neural Network (ANN), and Genetic Algorithm (GA)) and AI (symbolic, Intelligent Agent System (IAS), Multi-Agent System (MAS)), and
• "Intelligent multi-modal systems, Smart Work Manager" (SWM) (1998) and "Intelligent Multimodal User Interface" (2000) are only about the integration of the fields of FL and ANN, whereby ANN is only used for motion capture, specifically eye or gaze tracking,

but they are not about Computer Vision (CV) respectively Natural Image Processing (NIP) and Natural Image Understanding (NIU), Multimodal Multi-Agent System, and Multimodal Intelligent Agent System, including what is wrongly called supermodel or Mixture of Experts.
Please keep in mind that we are not talking about the type of Autonomous System (AS) and Robotic System (RS), which is a physical system and is based on for example the behavior-based / behaviour-based or behaviorist architecture, including the subsumption architecture, but about the type of software agent, including Software robot (Softbot), Autonomous Agent System (AAS), and Model-Based Agent System (MBAS) or Immobile Robotic System (ImRS or Immobot) and the creative step to take such a

respectively the move from these specific subfields of the fields of AS and RS to the fields of Softbot and Immobot and to go further by integrating the fields of Cybernetic System (CybS) and Cognitive System (CogS), and their integration as Cybernetical Intelligence (CI or CybI) was done by C.S.. So no loophole and no way out here either.

• unified approach, or connectionist symbol processing system, or subsymbolic Artificial Intelligence (AI) system, or parallel distributed processing system, or distributed connectionist model, or Distributed Artificial Neural Network (DANN) model, or integrated connectionist model, and
• hybrid approach, or Hybrid Symbolic-Connectionist (HSC) or Hybrid Connectionist-Symbolic (HCS) system (not to be confused with pure connectionist hybrids of the unified approach) on the basis of the fields of Intelligent Agent System (IAS), and Multi-Agent System (MAS) or Distributed Artificial Intelligence (DAI), or Multi-Agent and Cooperative Computing (MACC), or Modeling Autonomous Agents in a Multi-Agent World (MAAMAW),

(see the second list point above), but not a microService-Oriented Architecture (mSOA), agent-based soft computing society, or other platform independent soft computing support environment based on a framework for integrating SC techniques into practical application systems. For sure, the same holds for the deficitis summarized in the list points before.

• integration and utilization of Artificial Neural Network (ANN) in a Distributed Computing (DC) environment based on microService-Oriented Architecture (mSOA), but not Agent-Based System (ABS) for Computational Linguistics (CL) respectively Natural Language Processing (NLP) and Natural Language Understanding (NLU) in general, and
• voice-based assistants and Intelligent Personal Assistants (IPAs), like for example Apple Siri, Amazon Alexa, Google Assistant, Microsoft Cortana, Samsung Bixby, Huawei Assistant, Baidu Duer, Tencent Dingdang, and so on in particular

  are based on our Evolutinary operating system (Evoos).

31.August.2022

15:59 UTC+2
French government not allowed to use illegal FOSS

In relation to the fields of

and documents about

we noted once again, as for example in the cases of

that they either

• Knowledge-Based System (KBS) (e.g. Graph-Based Knowledge Base (GBKB) or Knowledge Graph (KG)),
• Expert System (ES) (e.g. Geographic Expert System (GES)), and
• Multimodal User Interface (MUI)

before the publication of The Proposal describing our Evolutionary operating system (Evoos) on the 10th of December 1999.
This deficiency also comprises the

GESs have worked at the pixel level of raster images or the object level of vector images and integrated them with classification of visual geographic knowledge.
But using a foundational cognitive model and connectionist model, including what is also wrongly called foundation model, together with a KBS, specifically a Graph-Based Knowledge Base (GBKB) or Knowledge Graph (KG), is already considered a copyright infringement, because

which are further evidences, which show the required causal link to our original and unique, unforeseeable and unexpected, personal, copyrighted, and prohibited for fair use ArtWorks (AWs) and further Intellectual Properties (IPs) included in the oeuvre of C.S., specifically our Evoos and our OS, and in this way provides the proof that they were taken as source of inspiration and blueprint.