Category: AI

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Bench the benchmarks

In the social sciences as well as in engineering it is common practice to use benchmarks as indicators of performance. Thereby, several countries or regions within a country are compared with respect to quantitative indicator. Let’s take employment ratios. A higher employment ratio, which includes many persons working few hours in part-time work, is different from a slightly lower employment ratio, but hardly any part-time employees.
The same rationale holds true for benchmarks of AI systems or the newer versions of agentic AI that are under construction in many fields. The paper by Yuxuan Zhu et al. (2025) proposes the ABC (agentic behavior checklist) for agentic AI developers. The reporting of benchmarks by such models should include (1) transparency and validity, (2) Mitigation efforts of limitations and (3) result interpretation using statistical significance measures and interpretation guidelines.
The aim of this research is to establish a good practice in establishing benchmarks in the field of agentic AI. The sets of criteria to test for is large and the focus of how the agentic AI treats, for example, statistical outliers much above or below the average i.e. (> 2 standard deviations from the average) assuming a normal distribution, is one case of application only.
We welcome the efforts to bench the benchmarks in the field of AI as is common practice in other sciences as well.

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Learning by using

Is learning by using different from learning by doing? In an economic model to test the employment/unemployment impact of AI in the USA, Wang & Wong (2025) suggest an important impact of employees’ productivity due to learning by using AI. In terms of the traditional language of economics the employees who use AI in their work shall have comparative advantage to those who don’t.
In a model of job search in the economy there is the additional possibility, similarly to robots previously, that certain tasks maybe influenced by the, more or less, plausible threat of an employer to replace the employee by training an AI system to perform the tasks. The credibility and acceptability of such threats are likely to impact wage claims and unemployment risks. All these effects do not happen instantaneously, but evolve over time with varying speed. Hence, calculations of effects have high error margins. The resulting model yields oscillations of “labor productivity, wages and unemployment with multiple steady states in the long run”.
Learning by using seems to be a good description of what occurs at the micro level (the employee) and at the macro level of an economic sector or the economy as a whole. Society may guide the use cases of AI just as much as the business case to use AI, for example in the creative industries as infringements of copyrights may occur on a massive scale. However, learning by using is not free of risks to society at large. Just like allowing people to use automotive vehicles has lead and still leads to thousands of deaths annually, learning by using produces external costs. Overall, this is another case for a benefit/cost analysis for businesses, the economy and society.

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AI 2nd round effects

The most popular topic currently is AI.
Most writers, assisted by some form of AI, will deal with the 1st round effects of AI. These consist in the immediate consequence of the use of AI in office work, medical and military applications, music and all producing or creative industries. As an economist you take the input – output matrix of the economy (OECD countries) and take AI as an additional dimension of this I/O matrix, for example. The result is an AI-augmented model of the economy. This 3-dimensional cubic view of the economy asks to reflect on the potential short-term and medium-term impact of AI.
Let’s take the example of translation and editing services. AI will in the short-term or the 1st round effects make it easier to offer mechanical translations with fast turnaround. Most likely, this will lead to less translators needed for routine translations of longer texts, which would otherwise be a very costly endeavour. The 2nd round effects, however, will make the expert knowledge of translators of texts, where every word counts, more necessary in order to provide the best version of a translation targeted on specific audiences.
In the legal domain, for example, the precision of words is primordial and errors can be very costly. Hence, the 2nd round effects of AI in this field will increase the demand for high quality translation services more than before the use of AI. The important shift consists in these 2nd round effects of AI, which give a push to multilingual societies as just one medium-term outcome.
Please use AI to read (listen) to this paragraph in your native language or even dialect using your favourite AI-tool.

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Home Leaks

When did you last think about leaks in your home?
Usually we associate leaks with water leaks, or the heating system leaking somewhere. In the 21st century leaks at home are more importantly the leaks of your home security, especially your email, digital and cloud services which are at risk. You may test your favourite AI system to advice you on your risks for digital leaks, but we know little whether these systems are yet another dangerous port of entry into your home or privacy themselves.
There is a helpful tool to find, whether your email has been hacked or distributed widely already for potential thefts of your identity. Hence, better check this from time to time using for example the “leak checker“, just like checking whether you closed your door or the water tap before leaving for vacations. As we live more and more in “virtual homes” in addition to our physical homes, checking your digital identities should become a part of our personal hygiene routine. Let’s just take a shower from time to time and change passwords regularly.

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Hallucinations serious

There serious hallucinations by AI and there are funny hallucinations by AI. Do we want our various AI models, from time to time, to crack a serious or funny joke? Well, that’s a bit the spice of life. However, not knowing when the machine is joking and when it is serious, this is more likely to seriously disturb most of us. This reminds us of our school days were teachers were not amused some pupils not taking them seriously in their efforts to transmit information. Now we know that a good atmosphere is conducive for better learning progress. AI as teaching and learning assistance could well work best in a “fearless“ classroom. Repeating a lesson several times and at your own learning rhythm will help independent of the seriousness of your teacher. Self-directed learning with a little help by AI might do the trick for many to advance how and when they feel ready for it. Hallucinations rates are a standard test for AI models. They range from 1% to 25% of queries.  This is not in itself a problem. It has become tough to find out about the 1% -2% models because you no longer expect them to give wrong information. These are the 1-2 out of a hundred of cases where we are confronted with serious hallucinations, seriously.
(Image: extract from „cum Polaroids“ from Eva & Adele, Hamburger Bahnhof, Berlin 2024-5-22)

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Home security

Digitalization has made it possible to step up home security at reasonable costs. The video surveillance of homes inside and the immediate surroundings are feasible through the use of connected cameras. The footage can reach sizable amounts of data, but intermittent recordings reduce or the AI-assisted detection of movements on a person’s property have become standard home security. Even for apartments the video enabled door bells and digital locks have improved the security level for those who are willing to invest in home security. A good neighborhood watch system is, of course, in most cases a superior solution. But neighbors change and social interaction is often reduced to minimal contact in most suburban regions. As with heating of homes, home security is also depending on what makes you feel comfortable at home. For some 20 degrees Celsius is enough and a solid mechanical lock is sufficient. Others have made very different experiences and want their digital devices directly linked to a professional security or police service. Like it or not, home security is part of the modern home just like many other digital devices or TV sets. 

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testing testing

Before the installation of the new AI chatbots or other agentic AI, they need profound testing. Wise statistics are quoted with the conviction: it is all about testing, testing, testing. Any systems that build on statistical reasoning (LLMs or machine learning) will behave erratically on what is known as an area with stronger impacts of, for example, statistical outliers. On both ends of the “normal distribution” of events or reasoning the statistical models and algorithms used in AI will produce “spurious” errors or have larger error margins on such topics a bit off the 95% of usual cases.
This means, testing, testing and testing again for the programmers of such AI systems before the release to the public or enterprise specific solutions. The tendency to keep costs of testing phases low  compared to developing costs bears obvious risks to the “precautionary principle” applied in the European Union. Testing is most important to check the WEIRD bias of the most basic AI systems. In this sense AI development has become a sociological exercise as they have to deal with “selection bias” of many kinds that could have very expensive legal consequences.
(Image: Extract from Bassano, Jacopo: Abduction of Europa by Zeus, Odessa Museum treasures at exhibition in Berlin Gemäldegalerie 2025-5).

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Humanoid services

In the shadow of AI enhanced chatbots, agentic AI and generative Ai, the developers make considerable progress in robotics. The humanoid versions like from Persona AI will surround us in months, or maybe a few years from today. Investors believe it is rather sooner than later. There are many use cases for humanoids that may take over dangerous, hazardous or unhealthy tasks from humans. But even simple tasks like carrying home most of our shopping could be done for us by humanoids that follow you around the shopping mall and home. This would be a kind of personal assistant. I even thought of my humanoid robot to walk my dog on some occasions on the usual trail. 

Welcoming visitors at the doorstep could be another function to delegate in offices or even in private homes, although as a sociologist I would recommend to carefully check the sorting algorithm(s) applied to avoid unpleasant situations. The administration of medication might be another option, if only we could trust that the correct dosage would be applied. 

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AI-assisted

We used to create and use an artificial word to shorten explications in conversations. It is easy to understand for everyone nowadays to describe an online search as “I googled something” without further concerns about the sources used in answering a question. Apple just announced that its search engine Safari was used less than expected recently. The reason might be that more and more people search online by using AI tools or Apps that directly provide answers to their queries. ChatGTP and Perplexity are 2 AI-programs that might replace the other search engines we have gotten used to over the last decades. Particularly “how to …” queries offer reasonable instructions. In Perplexity you get an answer after you specified a little bit your query and, therefore, the answer is more likely to be right to the point offering text, images and sources. In ChatGPT you enter into a dialogue to further specify your query if unsatisfied with the first response. The judgement of an authoritative response is up to you if you want to follow up. The assistance of an AI-system cares less about the source but about the speed of response that it can provide. For sensitive questions or queries with less obvious or clear answers more interactions with the tools is necessary. The pricing and our willingness or ability to pay in cash rather than through the selling of our data for advertising will determine whether we shall “chat-it” or “plex-it” in future.

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Robot assistant

Adjustment processes on the labour market take their time. This means that care workers are in short supply in most countries of the OECD. Engineers as well. There are so many robots, care robots I mean, still to develop that the shortage of engineers give little hope that we shall have affordable solutions in this area for the next few years. The issue is mainly about integrating and enhancing already existing solutions. If you are a mechanical engineer you can put together motorised mechanical pieces, small motorised electric devices and, for example, small infrared emitting and receiving devises.
All this is child’s play these days (see image below). The assembling of a small Robot assistant that follows movements or can escape from a small labyrinth makes such simple structures transparent for learners and users. There is nothing magical about it, just adding together small pieces and the electronic devices to steer the movements. The learning tool from KOSMOS has been on the market for 5 years. It is a helpful device to explain basics through hands-on experience. The limits of robotics equally become more evident. Our own health and safety is concerned with larger devices cohabiting with us. A robot assistant can take on easy tasks like to follow me through my living space in old age carrying a mobile phone, keys or an emergency device. More sophisticated tasks need more sensors and AI to train the most needed and best routines. For many years this needs our input and our control as well as supervision of such devices. Most robots will operate as assistants with us in the driving seat or the boss.
This is yet another element of the “all electric society“. We are moving towards the use of more electronics assisting us from year to year.

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Reinforcement Learning

Education scientist have embraced the change of focus form a front loaded teaching format to a focus on the learning process of pupils or students. Computer scientists have adopted this strategy in shifting from just knowledge data bases and predictions of likely next words in a sentence or paragraph to learning models. Deep Seek has surprised most large language models by its successful strategy to focus on learning and reasoning. So-called reinforcement learning is key to the programming of next generation AI models. Reasoning in most cases builds on multiple step sequences in answering a more complex question. The model then returns the answer and the steps (reasoning) applied. There is a debate whether summaries or translations of texts would need the reasoning function of AI models. Most of the time reasoning might not be necessary or even counterproductive, if the translation would try to correct an obviously faulty reasoning in a text.
Maybe, imagine also that an ordinary LLM would translate a text containing fake news. A correction loop which involves a cross-checking with reliable external sources like any encyclopedia or wikipedia would complicate the answering procedure of any text. However, this is a bit like, how the process of reinforcement learning with human feedback (RLHF) works. Reinforcement learning applies a form of accuracy reward, which guides the learning or answering process with checks against mathematical or programming accuracy. Just think of basic logic to be respected in the answer.
Similarly, a formal accuracy control checks against mathematical models and ensures the answer is returning a text with a normal sentence structure or numbering of reasoning steps, an intro and concluding phrase, like we were all asked to do in school or universities. The amount of corrections from humans is reduced quite a lot and the computing resources are also only a fraction of the previous LLMs, which are retrieving answers from enormous databases or gigantic data factories consuming lots of energy in the processing of requests. Remember the movie on Kasparov, the world chess champion, who got beaten by a computer from IBM that did not only have a huge stock of previous games and tournaments, but could make judgments on positions and promising strategies to pursue. Don’t be surprised if a DeepSeek answer is superior to what our own mind and reasoning is capable of. Reinforcement learning is a learning tool, which we also may apply, if we deem it appropriate or just as one way of coming to an answer. (useful reference: Sebastian Raschka, Building a LLM from scratch, Manning). 

(Image, ChatGPT, 2 humanoid robots are thinking and discussing how to repair a notebook which is sitting on a workbench).

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Intimate housing

The housing of famous persons has always attracted a lasting fascination. The “esprit des lieux” or the experience of the surroundings of an artist, composer, author or otherwise famous person, where most of the work had taken place is of general interest. In today’s language we would describe this as the context of creation. Biographical information and references to specific objects central to the process of creation play a crucial role in understanding what is behind human creation as it is district from AI. There are objects ( compare MAD Paris) and there are the social networks of creators. Modern biographies include both, some even in graphic forms similar to ancestry diagrams. 

The design of intimate living spaces for private life or the adequate environment for creativity are becoming more clear with the consciousness of the importance of dedicated designs of furniture, accessories and even scent. Our brains are multimodal and working as well as processing lots of information even beyond our conscious realizations. This black box of creativity is rather unique to the human brain and AI will probably take decades to emulate such complex processing. The MAD exhibition reveals that intimacy is also related to housing design and interior design. It doesn’t seem to be a random process, but habituation is part of the continued creative process. 

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Augmented Cognition

With everybody talking about artificial intelligence we tend to overlook recent advances in augmented cognition. Just 2 examples of studies presenting new findings published in 2025 suffice to make that point. Automated versus manual driving have different effects on our brains. Automation makes us sleepy and inattentive with potentially dangerous consequences. Using EEG measures of neuromarkers the drop in attention shows up earlier than through measures of keeping one’s lane while driving. For jobs or duties that involve extended hours of attention the wearing of a mobile EEG-device could avoid lots of accidents. Drugs, alcohol or medication abuse would also show up before it is too late, I suppose (Scanion et al. 2025).
The 2nd study involved a robotic assistance to piano playing which achieved surprising training effects for learners of the music instrument. Objective measurement of speed and finger coordination might even allow overall accuracy to improve significantly. The technology around us and the one in direct contact with us, our behavior and performances shall have an impact on all of us sooner or later. We have to pose the question of how far we want to go along with these evolutions. Augmented cognition will not only be of interest for civil purposes, but military applications or dual use is evidently another option.

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Apocalypse Depicted

At the beginning of the 21st century we have a renewed interest in depictions of the Apocalypse. “L’Apocalisse di Giovanni” has been illustrated in various Christian monasteries and some traveled quite a bit. The version of the Apocalypse (Link) which was attributed to Cambrai is a copy of the older original version found in the City library of Trèves, which dates back to the year of about 825. A flemish version of the 16th century is to be found at the BNF in Paris. Throughout the centuries the “Apocalypsis”has been reworked. The version of Trèves has the “carolingish” depiction characteristized by a presentation of image on one page and text on another page. Nowadays we are used to futuristic images and have known even worse experiences of apocalyptic events (Nazi terror). Earth quakes or man-made climate change with heating of the planet, storms, draughts and floods testify for the renewed interest in the Apocalypse. Other man-made technological innovations like rockets. atomic bombs, chemical and biological weapons overshadow even the “natural” ones. The potential of AI to cause destruction is not fully assessed until today. Swarms of drones guided by AI might reach apocalyptic levels as well. We just remind ourselves of the bombing of walls of a water reservoir by Russia in Ukraine. The Apocalypse will remain the original example of a horror story and our strange fascination for such texts, images or movies is likely to stay. (Image: extract of anonymous 1st quarter of 9th century. Trier Stadtbibliothek, Schatzkammer. Wikipedia public domain).

Apocalypse
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Präludium Prélude

Learners of how to play the piano are likely to pass the composition of J. S. Bach entitled Präludium in German and Prélude in French. Maybe that influences the approach to the piece of music. The title sounds different in each language. It is interesting to follow the Präludium Prélude throughout the history of composition. The pianist Jan Lisiecki has just recorded and released a disc with Deutsche Grammophon following the historic evolution of this genre. The rather easy-going beginnings by Bach (see below for extract of first motive) have turned out to become rather complex preludes with subsequent composers. We may ask ourselves at this occasion: a prelude to what? Your own associations are welcome. In international politics we can observe strategic movements of countries and their military equipment as a prelude of war, but also of peace. Small aggressions may turn into wars. In philosophy Nietzsche praised the dawn (Morgenröte) and focused a lot on new beginnings. Composers might be the best forecasters of what is to come in the following years. Certainly the preludes have foreshadowed some of their later work. Nowadays, many LLMS in AI build on algorithms that predict what is the next word to write or task to do. Even in composition AI is moving ahead fast. Hence, we e are likely to study preludes much more for several reasons now.  

(Image: extract of first motive from J. S. Bach Präludium Nr 1)

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Hands-on AI

The use of AI in translation and to streamline texts and preparation of communication has become a common experience. The applications in medical fields are less well known. Scans and checking of skin cancer could be a game changer for many who live far away from the next medical doctor. AI assisted brain surgery is another issue, but a very specialized application. The interface of AI and robotics might be another game changer as such applications where you train the robot with for example weight lifting and transportation charges can contribute to alleviate human skeletons. Handheld devices can guide the robot and data from sensors will complement the learning of the tasks through assistance from AI. Applications are manifold and we have not even seen the most promising ones. The application potential in warfare are particularly troublesome as humans do not necessarily enter into the concern of AI-assisted weaponry. In the social sphere trust is a crucial behavioral and ethical concern. These issues AI can only learn from us. Any attempts to do without human input and control is doomed to fail. We are not indispensable yet, we are simply turning more and more into responsible, supervisory roles. 

(Image: Acatech exhibition with hands-on AI applications, Berlin in collaboration with IQZ and DTM, German museum of technology.)

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Mindmap Me

Tools like artificial intelligence allow all sorts of transformations and depictions. The photo editing tools are widespread and particularly popular among the young users. My own transformative exercises, latest with www.bairbe.me, have yielded interesting insights, well worth an intergenerational playmate. For the guys there is the www.yobrick.com version for brick gamers.
The App “Canvas” allowed me to delve deeper into my own mind by giving instructions of how to create an image of the structure of the blog entries on this webpage. Of course, it is not (yet) a real AI-generated content map, but it is only a matter of time until such tools will exist. After all, this would be just an arranged and rearranged list of contents using the hyperlink structure of the texts as well.
For the time being, I derive my own structure of the blog entries by topics, categories and tags including the hyperlinks or internal referrals. Interlinkages are mostly stated explicitly. However, there are many implicit links, which are obvious to some, but not others. AI-systems could use occurrences of words,  synonyms and antonyms . Colors in addition to bubble sizes and (in)direct lines may complement such mindmaps. This can help to reveal another, additional layer to connections between categories or tags. The Ai-generated image shown below was created with the APP Canvas as a first approximation and AI-augmented test version in form of abstract images).
Next steps on the way to understand human intelligence and, maybe, augment it with a next generation AI-system would use a colored-3D version of such a mindmap and use the chronological evolution of the blog posts in a kind of evolutionary animation. This should allow us to go beyond the usual psychological classification of fluid and crystallized intelligence. We might come to grips what it means to be “in a Paris state of mind” or when hallucinations become overwhelming.

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Text to Image

Long before everybody started to discuss Artificial Intelligence, which in many applications takes the form of transformation of a textual prompt into an Image, Photographers have had literature or quotations in their mind that shaped their images. This was a kind of poetic imagery not always easy to recognize. The exhibition in the „Institut de France“, Bibliothèques Mazarine (LINK), with photographs by Nicolas Fève (LINK) offfers a great insight into this way to conceive of an image and its realization through photography. Exposing the sources of inspiration as well as the photo is like adding textual citations to an image in a much more inspirational and transforming manner than AI is doing these days in 2025. 

Text to image is only one out of the many ways texts might guide imagination, but it is a powerful and gripping one. The history of literature is full of other forms like videos based on novels, comic strips to make classic texts in Latin more accessible. As we shall ask AI products like texts and images to cite their sources and honor authorship, photography as art and science might enhance the literary experience by adding citations to an image. This has the additional advantage that more people will follow up on the sources of inspiration.

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AI Images

The creation of images using any AI system is fast and easy. Many people have tested the systems and experimented with the more or less explicit prompting needed for LLMs to come up with several suggestions. Through the use of AI in the creation of images you are indirectly become your own curator of these creations as you choose among many suggestions of AI for the same prompt. The next step in the process of these artifacts it to assemble several ones and submit your selection of images to a gallery for an exhibition. If you have a coherent approach or a specifically interesting creative idea you might get selected in a competition to show your AI assisted images in a gallery with a reputation to  exhibit photography.  The Brussels Photo Festival (2025) presented the submissions to a call for AI images with a broad range of AI assisted imagery. The focus of this project was on „historical events and figures“. In situations where images are absent such a newly created imagery might be helpful in re-creating narratives about undocumented wars or conflicts. Speculative fiction about other historical options or „roads not taken “ have found their way into museums of history even. Decolonizing imagery is an interesting aspect to get a grip on another way to view historical evolutions. Projecting biological growth processes into the future with pervasive bio-engineering allows is to imagine potential future scenarios. As AI in biology, pharmacy and nutrition is only about to rake off, the AI artists play an interesting role of new avantgarde in the 21st century before we shall be submerged by AI images on all social media platforms. (Image taken at Hangar.art 2025)

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Hallucinations

In the 21st century hallucinations have become a daily experience. The origins of the word can be followed back at least to the Latin verb “alucinor”, best translated with “to hallucinate”. As a verb to can conjugate it, meaning that I can do it, you can do it, s/he can do it, and we may do it in groups. Roman emperors did it, American presidents do it and, of course, AI does it. Hence, it is a great subject to study.
In “Nature” 2025 we find ways to limit hallucinations of AI systems. The strategy consists mainly in repeated queries of the same type, but from different angles. It is a bit like cubism applied to informatics. On “github.com” we can follow the rankings of AI-models using LLMs based on the “hallucination-leaderboard” developed by Vectara. On “huggingface.com” you can test the Hughes Hallucination Evaluation Model. For example it is possible to run a test of your own small text documents (just like any blog entry on this webpage) and what the AI systems will do them in an attempt to summarize your ideas. According to the “hallucination-leaderboard” we are confronted with a 1.3%-4% hallucination rate of the top 25 LLMs as AI-systems. In text based systems the quantity of “errors” is a first indicator only. The seriousness of the omission, addition of wrong information or an erroneous judgment will be left to the reader or analyst to uncover.
There is now a lot to do to test various AI-systems on their “trustworthiness” in summarizing my own work. My very own daily hallucinations have become a large data base as a test case for the capacity of LLMs to make sense of them.
Based on the series of passed blog entries I shall test the capacity of AI to predict the n+1 blog entry. It would be great to know today what I am going to write about tomorrow etc. Thanks to AI I shall have (finally) a sort of intellectual life after death (not sure whether I should want this). Enough of hallucinations and on hallucinations for now, back to serious readings or fictionalized science. (Image: extract from Delphine Diallo, Kush, 2024 at Hangar Gallery Brussels).

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Existence as Eggsistence

Artists have their own ways of hallucinating. They don’t need an AI to generate ideas beyond the normal, even allowing for 2 standard deviations off the usual. As a result of the thorny question about your existence, Ram Katzir came up with the impressive statement about his „eggsistence“ being subjected to a squeezed experience. Ever increasing shares of the labor force would subscribe to this statement about the modern workplace. Each turn of the screw risks to crack up the egg‘s shell. Rather focus on the egg, try to get a grip on the screw. There are thousands if not millions who crack up under the excessive pressure of economic and political circumstances. The new platforms of food, grocery and parcel delivery at home have become the latest example of AI-assisted and algorithmicly managed screws. What is driving your eggsistence. It is about time to  ask fundamental questions again. (Image: Eggsistence, by Ram Katzir 2021 in Brussels, Galilas Collection Belgium)

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Modular books

Online publishing offers much more flexible forms of publishing. Even traditional book formats can be organized in new ways. Instead of a fixed sequence of chapters, paragraphs or blog entries, the sequence becomes a matter of choice. Either in the author’s hand or in the hands of readers, the cruising through content allows very individual experiences of what still is the same content. Just as learning, which is ultimately an individualized process, the reading or scrolling through content creates singular experiences with the content. Several choices of more in depth reading should keep the reader interesting to dig further along the personal knowledge trajectory according to own prior interests.
The motivation of a person to read depends on the reader’s own interests and current situation or context. The “state of mind” constitutes the willingness to stop at certain pages or entries. The search function, keywords or tags allow to deviate from an author’s intended sequence of chapters. An online textbook has easy entry and exit points. They are not predetermined. The risk, however, is that the reader stops at a point without loose ends, somehow in expectation of a conclusion of a succinct summary. That’s probably the easiest job for any AI system, based on a series of entries.
However, the joy of the journey through knowledge gets lost through the use of AI as a short cut. Just like physical exercise rewards you with additional strength, mental exercise keeps us healthy.
Traditional predefined sequences – like books, e-books or flip-books are also available on this webpage either through the post archive or the continuously growing books, e-books or flip-books page.

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Art Physics

Art is a matter of perspectives. In physics the change of perspectives and even theories about perspectives using optical instruments or illusions enlightens our understanding of the universe. 2D or 3D perspectives by V. Vasarely add yet another dimension through the oppositional hanging facing the Hollow Mirror Objects (convex and concave) by A. Luther (see images below). The curators succeeded in putting both art works with their incorporation of physical principles in an enriching dialogue. Art speaks to us in many languages. In more general terms, there is an underexploited aspect of exposing art. Rather than focusing on a single artist or school of artists in particular, exhibitions may focus on the interrelationships and new ways of combining or communicating images. This is human intelligence. Artificial intelligence will do this without prejudice and my own private collection of images of art works as a similar fountain of innovation as well. (Image Exhibition Neue Nationalgalerie Berlin 2024-12).

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Socioeconomic Circularity

Some sectors of the economy receive a lot of attention, for example sectors selling fancy cars. Other sectors, like the ones regrouped under the name of circular economy, receive much less attention and show up little in headlines. In fact, the circular economy is a great example of this. There are thousands of waste and rubbish collection, sorting and recycling centers, several hundreds of waste-to-energy plants, composting sites across the European Union. Of course, there is also a European Federation of the sector (FEAD). On the last FEAD conference in Brussels 2024 it became clear that Europe is finally waking up to the challenge of recycling costly raw materials.
The narrative concerning the sector needs to change further: what used to be subsumed as costly nuisance is in fact a potential profit center for companies and society at large. We do no longer want to import lots of raw materials from countries with dubious social and environmental records as part of our supply chains for raw materials. Time to act. This, however, is a rather complex socioeconomic challenge of circularity. The price mechanisms are not fully functional in most Member States, let alone across the EU. Additionally, the social practice to recycle varies greatly between countries. Distributional issues matter as well. It is rather obvious that dumping waste from one region/country in another one has huge implications (nuclear waste), but if one country values waste more than another one, due to innovative recycling techniques, the matter takes a marketable turn. Regulation should carefully distinguish categories of materials as we do for hazardous materials in production, consumption and for health and safety purposes of employees.
Metal, battery, cement, plastic and wood recycling pose challenges, but also opportunities to improve the European material import/export balance sheets. However, first in the circle of circularity is the use of materials. There we are clear that “less is better”. Less input of raw materials, most of which we import in the EU, reduces our dependence on other countries. This is the tricky social question of circularity. Mainstreaming of more conscious use and reuse of resources is a huge social issue, which we tend to relegate to a task for the education system. The awareness that supposed waste is also a valuable resource is spreading and the growth of the sector a business and employment opportunity for many. Circularity is the new sexy sector of the 21st century.
What have you recycled today? and myself? Well, scientific online publications. Now think of ChatGPT and the AI gold mines of 2024. There is lots of value in recycling.
(Image FEAD conference Brussels, 2024)

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Virtual author

« La Mort de l’auteur « . In a radical sense Roland Barthes was the first to proclaim the death of author as the sole master or mastermind of a text or speech. In fact there are many more on whose direct or indirect contributions a text is based on. However, biographical accounts of an author can only enlighten some (minor) aspects of the influences on the author and the final version of a text, (l’écriture), and the reader (lecteur). In « Le degre zero » the analysis of the different styles of Flaubert and Proust are extolled ( p. 131-139). Flaubert is characterized as the author with infinite corrections on the same texts and sources. It appears today as an endless loop of an algorithm where the stopping rule is not properly defined or implemented. Much in line with the « tabula gratulatoria » of Barthes (p. 279 of Fragments…, see image below) some AI systems return fake versions of a bibliography some readers will rely on. 

In the 21st century l’écriture has become almost inexistant without the technical support of machines, but most of all artificial intelligence. The author is dead, long live the virtual author. The assistance of spelling, grammar and style editing from software programs has widened the spectrum of coauthoring. Editors take more influence through pushing marketing potentials of authors and their writings. Based on previous manuscripts and publications it is possible to produce hallucinations of an author whereby only the author might be able to identify the virtual authorship. At best AI generates first drafts, but similar to the linguist of Barthes, AI is likely to become another brother or sister of l’ecrivain (p. 139). 

The thrust of Barthes is to highlight that there is more to a text than just the version at hand. In fact there are texts in a text or multiple versions or layers of a text. « L’enjeu de l’analyse structurale n’est pas la vérité du texte mais son pluriel » (1972, par ou commencer p.148). In conclusion, almost 50 years after the death of the author we currently witness the miraculous rebirth of the virtual author as the original deus ex machina which we always feared. Don’t worry it’s just another sibling of the original authors.

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Game Tech

Gaming has moved digital and online for a long time. Networked gaming and following the best gamers online on video-platforms like twitch has captured a lot of attention from younger generations. With a real trend of gamification for industry and even public services, the digital gaming sector is moving from backstage to front end of companies and services. Public administration as a game. Enjoy the use of a public service through a game-like experience. Walk around in the metaverse world and get your admin work done. I would love to have such an experience. There are so many applications for gamification that the bottleneck is in the human resources to program all these applications. Coding the digital and virtual worlds to get real stuff done is just around the corner. The SCCON 2024 in Berlin showed these technologies next to each other. 2025 we might see integrated prototypes. I have a digital dream, others call it a vision for public services in the 21st century.

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Move Tech

First we teach robots how to move. Next, they teach us how to move and motivate us to do more. This is not only for the elderly persons to imitate the moves and talk to AI systems, but children too will have fun and learn new tricks from robots rather than old dogs. Learning languages with an AI system is well advanced. Soon we shall walk with our artificial friend around cities and have a perfect tourist guide with us. Imagine walking in the countryside with your robot explaining you the flowers and herbs next to you. These brave new worlds are not too far off and it is up to us to be open to accept or dismiss these applications. Coaches using ball throwing machines or robots have managed to lead pupils to higher levels of practice faster than others. Motivation through move technology has undeniable advantages.

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Language Tech

Inclusive societies can build on many tools including AI to lower language barriers. It is not only a question of translation, but many other forms of language come to mind. Sign language or easy language are necessary to facilitate broader access to public services. Reading out texts on webpages or Braille translation for the blind to interact through keyboards are additional forms that are available in digital communication as well. The audio description of videos and images is well advanced (reverse engineered through AI) and allows people with limited vision to fully participate in society. Audio messaging and transcription are used by almost everyone by now. Public services will open up to these channels of communication as well. The technology around languages is much more than just translation and AI-assisted learning of languages (talkpal for example). The new lingua franca is language technology, because it enables us to speak many languages at the same time even dialects or lost languages and in many voices. (Image: Extract of Josef Scharl, the newspaper reader, 1935, Neue Nationalgalerie Berlin)

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Justice Tech

The digital or hybrid courtroom has become more the rule than the exception in Germany. Video conference equipment reduces costs and can speed judicial processes. Even the production of transcripts from the proceedings and circulation of documents and certificates, enhanced by AI will change the speed to exercise justice. Digital tools and technology has found its way into the courtroom and younger lawyers and judges as well as the accused or defendants will value the simplified procedures. Until this is the standard in all legal domains we shall have to wait a bit. In Germany 2026 is the deadline to install the adequate equipment and tech companies and consulting firms like Arktis are well prepared to support this overdue process. In terms of an economic theory of the judicial process a judgement that is delivered years later has to apply a discount rate of at least equal to annual inflation. For moral issues another discount rte might apply. Excessive delays of judgments may cause additional suffering on the side of victims. Justice Tech, therefore, has a role to play in the practical and theoretical debate about „doing justice“. (Image SCCON Berlin 2024-10)

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Public health info

Public services have a premordial role to play in providing reliable and up-to-date information on health issues. It is no longer only in charge of collecting this information, for example on infectious diseases, but public services are in charge of timely disemination of that info as well. This is, of course, were online services and AI come into play. Getting out this info is crucial, but in the age of fake news and the wide disemination of news on social media, public services need to check also what becomes of the news they have published. The Covid-19 pandemic has been a worthwhile experience in this respect. It is important that reliable information is transmitted via trustworthy channels, which have already been established prior to the “next” health crisis. Many innovative tools were presented at the SCCON 2024 and maybe trustworthy video calls with a medical doctor or your pharmacist may constitute a solution to many infectious pandemics. However, trust in the technology is important as well as equipment and identification systems to be sure that your medical doctor you meet online is actually a medical doctor or only a savy pretender. The issue is as old as medical assistance. The RKI in Germany is the reference information for coordinated information on many public health issues like infectious diseases.
(Image: Extract of David Ryckart d.J. 1612-61, Der Dorfchirurg, SPK Gemäldegalerie Berlin)