Category: AI

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AI data Input

If you ever wondered where the information from AI and AI chatbots comes from, you will not be surprised that this webpage schoemann.org is regularly solicited for such purposes. The number of crawlers, that do so, is quite large. The ability to trace what exactly they are harvesting on your website, is quite a tricky issue. At least a basic awareness of how the internet has been transformed in the last few years becomes evident through the comparison of unique visits, many through search engines like Google search or others, with the amount of contacts by AI-associated crawlers (see slide from own webpage below).
During he last month up to 2026-4-27 there were about 75.000 contacts, compared to 93.000 during the previous month.
At first sight, AI chatbots have largely outnumbered the “personal visits” of my webpage (see evaluate web analytics). On the other hand, I have no information of how many visits are, (at least potentially) re-directed hints from AI chatbots to my content.
In terms of “traffic” for a webpage, the information of how the AI-driven or AI-assisted search operates with other persons’ contributions will be the challenge of the coming years. If AI chatbots had to pay 10 cents per visit, I would have a comfortable pay every month from this content use. The issue of AI paying for access to reliable and high quality content has to be dealt with sooner rather than later. You may prompt a chatbot on this issue.
Meanwhile: My New Book on AI is out Now 2026-4-28:
“AI and Social Science: Potentials versus Limitations” by Dr. Klaus Schoemann, online reading and free download (here) before implementation of Paywall later on.

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Autonomous Robot

We have been used to computers beating the average chess player and even the best players. In 2026-4 the journal “Nature” published the documentation of an autonomous robot (Ace) winning the occasional game against top-level Japanese table tennis players. Peter Dürr et al. (2026) described the robotics challenge as constructing a robot that can match the human capability and reaction time of “fast, precise and adversarial interactions near obstacles”. The high speed perception of movement is coupled with event-based vision and builds on AI-algorithms like reinforcement learning. The step ahead is remarkable.
About 50 years ago, as coach in table tennis we used a machine or robot throwing balls towards us which moved from left to right in timed routine, for example. These simple robots we used to train humans. Now the robot is reactive and even interactive, learning from strategies and tactical moves. Technology can outperform us in most singular tasks in 2026. The combination of several of these skills is still quite unique to humans, but the clock is ticking for human singularity in technical matters. What was considered a “false good idea” in the Paris exhibition “Flops” at the Musée Arts et Metiers (see image below), might be an interesting response to challenge the new generation of autonomous robots.

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Individualism and beyond

For many social and political scientists it is interesting to look into the origins of our present day individualism. In a permanent drive to learn more about ourselves, millions of persons on social media try to visualize primarily themselves in different roles and life situations. Saint Augustine was the first philosopher who exposed his own personality and past choices of pleasures on earth in a journal like fashion named “Confessions”. Isn’t this what every person is somehow doing on facebook, tiktok or instagram? Thousands of entries deal with persons succumbing to earthly pleasures. Saint Augustine writes about his own very personal experiences and this invention of “the individual path” to philosophical, spiritual, religious ideas and convictions makes him a milestone in the history of ideas.
Maybe the original version of the text is further advanced than the Christian AI chatbot that has recently been released, because Saint Augustine proposes in the last paragraph of the Confessions 3 questions and finally 2 sentences to close his journey into his philosophical and religious mind.
(Image: Saint Augustin & Saint Monique, by Jean Boedts on Confessions Book 9, Ch. 10 on his mother dying, Church Saint Augustin, Brussels Altitude 100)

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Writing to yourself

Over more than 2000 years, humans have written in various forms about and to themselves. The “Meditations” by Marcus Aurelius are one of the earliest and finest example of this tradition. Originally, the intention was to write something we call “journaling” today. Out of a motivation to understand yourself, others, your relationship with others and society’s evolution, Marc Aurel drafted in Ancient Greek (a kind of elite or secret code for his Latin-speaking contemporaries) originally with no intention to address larger audiences. The French translations and publications in 2026 still use as title for the Meditations “Pensées pour moi-même” (Τὰ εἰς ἑαυτόν). The kind of “inner dialogue”, or dialogue with yourself as a literary form, has become a philosophical tradition.
Roger-Pol Droit (2008) ascribes a similar literary style in his introduction to the “Confessions” by Saint Augustine in a recent French edition. In moving from a culture of oral traditions to a reading and writing tradition in Europe, the style of reflections about oneself and others shifts more and more to the printed formats. Originally reserved to some happy few, modern techniques of contemporaneous recording of sound and video enlarge the possibilities of input through transcriptions, editing, storage as well as analysis of own input.
The possibilities for a democratization of reflections of our own experiences have increased, and yet, AI might jump in very quickly to some already pre-established truths about ourselves in analyzing this data, which might be hard to fend off.

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Agentic AI Gardening

The use of AI is probably most popular for professional purposes as efficiency and economic productivity are major concerns in these fields of applications. Another whole lot of applications is rapidly developing as well, which is Agentic AI in hobbies like gardening. The use of IT in gardening has previously been reserved to landscape designers and maybe urban to rural planners. Cheap access to AI on a test basis or within your browser has widened access to computer and AI assistance for gardening purposes. Colorful designs and selection of species to enrich biodiversity are widely available now. The next step is, of course, agentic use of AI. If we have a sufficient number of sensors installed (and use weather forecast data as well), the data from the garden can easily be analyzed by AI and the mower or water pump can get going to do the job for us. This is not rocket science but only sensors, data and a couple of “if …, then” commands. The kind of pleasure will have changed accordingly shifting from the watering of plants to the satisfaction of successful programming. No value judgement here. The latter option has, however, a considerable business potential of almost industrial or agro-economic scale. 

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AI Motion Sculpture

At the Festival Noûs in Paris, the collaboration of AI with artists was a major event. Based on the huge collections of the BNF in form of data bases it is possible to join the 3 worlds of library conservation, technological innovation like AI and the imagery of artists. In the preparation of the exhibits and the parallel documentation of the genesis of the exhibits of the artists, the creative potential and process becomes more evident and understandable to broader audiences. The exhibit by Tobias Gremmler, Anatomy of Motion (2026 see below), captures the motion of a dancing body in a sculpture based on a 3D printing of a series of images blended into each other. with a fast photography camera, known from sports images previously, the dynamics of a motion become a tangible sculpture. The intriguing new form is in fact a motion that has been captured or has cristalized or materialized in a permanent fashion. New technologies and materials enter into art as they offer new ways of expression as well. The collection of art and documentation centers shall enter into new phases as well. (Image: Tobias Gremmler, Anatomy of Motion (2026) at BNF 2026-4).

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AI and Social sycophancy

The study by Myra Chen et al. (2026) on the practical use of various AI tools demonstrates the risks of social sycophancy of these models. Maybe a large part of the initial success of AI models exactly due to sycophancy i. e. the people-pleasing, flattering and affirmative bias of these models. If users of AI just receive predominantly confirmations and reassurance of their intended behavior, they shall be less inclined to accept more outright criticism in normal interactions with real people. The more you receive flattering responses by some people, the more likely they have used AI in preparing themselves for a response. The rigorous psychological tests applied in the paper can in fact explain a large part of why we are likely to become addicted to the always flattering responses from the current versions of AI. Only the scientists will consciously seek for disapproval of their beliefs and keep challenging the AI-provided returns. Even using different AI models did not change the affirmation bias. Maybe programming a “grumpy old professor AI” as an alternative could do the trick. I shall have to think seriously about this as the alternative to current models. The critical AI is most likely not a viable business opportunity, but it might survive many other sycophantic AI unicorns. (Image: waist coat 18th century, Paris exhibit Musée de la mode 2026). 

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Master AI

In 2025 the exhibition “Cartooning for Peace” at the BNF in Paris had already an exhibit authored by Stellina Chen from Taiwan, which summarized the evolution and projected the consequences of an all encompassing AI revolution (Image below taken at exhibition 2025 BNF). Currently we exercise ourselves in using various forms of AI or learn how to program them ourselves. It is our aim to master the new technology so it becomes a helpful tool. However, there are already many instances where it is no longer us mastering AI, but the AI has turned around the table and has started to master us. The applications of AI have entered our work tasks, tries and frequently succeeds in improvements of our routines and processes.
In private life a similar revolution is happening, when AI offers advice, which is hard not to follow and very convincing most of the time. Since getting involved in a conversion with AI tests your logic and debating competences, we find ourselves more and more in situations where AI is telling us what to do in the best of a convincing manner. After centuries of humanity to find freedom from oppression and the freedom to what we want ourselves, we seem to be ready to hand over control to AI. We are just like toddlers in this respect, willing or obliged to follow our master.

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Bob the AI-enhanced builder

Most kids today and GenZ youth have come across the TV-series “Bob the builder”. Baby boomer parents have been worried about the work ethos which might be the hidden agenda of the videos. In 2026 we can now draft a new episode called “Bob the AI-builder”. Many episodes could be re-written when Bob and his team have access and get training with AI toolboxes. The study published by ActivTrak (2026-3-11) reports that companies make on average use of 7+ different AI-tools, up from 2 in 2023. This constitutes a hint that complexity at work is increasing as each tool has to be managed and the boundaries of its use need to be respected. As most search engines offer an AI-short cut to search it is not surprising that now 80% of the workforce use some form of AI in 2026. The productivity increases in quantitative terms as more output can be achieved in the same time or slightly shorter work days. However, workload is moved even more to weekends now.
The upcoming challenge through AI-tools is the reduced “the AI users’ focus time”, which suffered 9% compared to non-users. For Bob the AI-enhanced builder this means “AI is being used as an additional productivity layer, not a substitute for existing work”. The overall workload is not reduced by AI. The intensity of work increased between 2023-2025.
There is still a puzzle in the data. Multitasking (+12%) and collaboration (+34%) both increased, but the duration of an average focused session and focus efficiency dropped. The challenges for employees increase. Handling simultaneous processes and keeping an open mind to collaboration are key competences for Bob the AI-enhanced builder.
(Image: LEGO-shop in Paris 2026-2)

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Retrieval-augmented AI

As a scientist it is in our DNA to cite other scholar’s work with precision. As a university professor your job is to check the quality of citations, kinds of citations and accuracy as a regular part of your job, also as supervisor of junior scientists. In 2026, the use of up-to-date AI (Asai et al. 2026, OpenScholar AI) allows not only to summarise large bodies of scientific literature, but also to cite references and even quotes from the paper(s). Literature reviews used to take months to compile. AI can speed up the process enormously. The citations can be ordered following an own logic or an AI-suggested logic.
It has become much harder to evaluate the degree of innovation of a candidate for a scientific degree. Tools like retrieval-augmented Language Models enhance the scientific potential of generative AI since they extract more or less short citations directly from the original source just next to the original based on a simple query of author and approximate subject (see screenshot below of own previous publication).
The good news is: (1) referral to previous research and citations should become faster with improved tools for verification. (2) You will find papers written by yourself that you no longer have in your own archive.
The bad news is: (1)self-citations of researchers might become more feasible, although this problem is conditional on a researcher’s seniority. (2) so far, Language models prioritise specific languages (although not necessarily) and differentiate names with “foreign” characters e.g. “ö,ä,é” and do not double check “close neighbours” of them like “o, oe, a, ae, ue, e, ê, è” leading to a “character based normalisation bias“.
It is, of course, rather easy to point out deficiencies of the search, sorting and inclusion algorithm if you know already about the complete picture of a data set. 

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Visitor retention

For media, platforms, stores, webpages as well as blogs one of the more interesting measures about popularity or spread consists in visitor retention. It is a bit like counting the pages of a book you have read, which you have at home, or have you read them all? The zapping across radio or television channels is also an indicator or unsuccessful retention of viewers. Webpages, online stores or the blog entries here are all more or less directly trying to increase the retention of visitors on the same page. Maybe this can be considered as one of the first steps into a (not-so) social media addiction. The IT-sector offers tools for this.
On this webpage “schoemann.org” we make use of “linkz.ai” a ready-made plug-in that provides overviews on the links entered on this webpage, mainly to avoid that visitors have many additional tabs opened in their browser, do not jump off to follow up the links, but rather stay on the same webpage and “scroll on”. At the same time this means referrals from other webpages, which use the same techniques, will be less frequent.
The visitor retention tool used on this webpage is besides the original content 😉 “linkz.ai”. This tool scans other blog entries and links, and proposes the image on the previewed link at the top of the blog preview, for example. Basic weekly frequencies on previews are provided, which might guide a strategy to increase visitor retention, if that is one of your objectives.
The current discussion of addictive potential of social media platforms could be measured through such tools as well and has probably been used already for years with even more sophistication and direct feedback loops into the algorithms.
(Image: basic own statistics Linkz.ai use 2026-2-28) 

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Future Conflicts

Since 2014-2-27 Russia has occupied the Crimean peninsula. This invasion had started with an undercover mission of unmarked soldiers to take full control of Crimea about 3 weeks later. Russia did not officially declare a war, although the intentions were identical to a land grabbing war. The western world did not react much to this violation of international law. Apparently, this contributed to the next cynical “special operation” by the Russian army to fully invade Ukraine on 2022-2-24 in a failed “Blitzkrieg”, a rapid invasion, which attempted and failed to annex the whole of Ukraine. According to Lissner & Warden (2026) the Russian invasion of Ukraine bears 4 lessons for future conflicts: (1) the risk of using nuclear weapons is real, (2) in addition to nuclear options, prolonged and very destructive conventional wars remain an option, (3) escalation thresholds emerge and evolve over the duration of the conflict, (4) allies and partners in war keep adjusting their risk tolerance as well as escalation options. The authors argue from a US perspective and add a practical comment: “The USA cannot go this alone, but should coordinate closely with allies and partners in time before another conflict arises. Multilateralism seems a valid option and even more so as we move into a multipolar power play on the global scale propelled by AI.
(Image: Musée Orsay, Paris – Archer, Bogenspannende)

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Democracy in art

The depiction and imagery about democracy in the history of art is according to my own anecdotal evidence and visits across Europe much less frequent than depictions of royalty, mystery like religion or autocratic rulers. Therefore, visits of museums on art history, let us say prior to the impressionists, have to be approached with an obvious skepticism. The impressionist art movement rebelled against the official art academy and started their own salon and are still much acclaimed for this as well as the fight for their own vision of art. The worst authoritarian backlash came from the Nazi-terror, which annihilated large parts of democratic ideas in and about art. A second major issue is about who visits the museums in contemporary societies. Democratizing the crowd who visits art museums is a steep task. Ease of access also beyond  costs of entry, they still pose barriers of access to reach a representative sample of a population to participate in art. (Image Kunstforum new barn in construction).

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Sustainability in computing

As the huge size of data centres become visible for everybody we begin to question the sustainability of computing infrastructures as well. The need for energy and water resources (for cooling) grow in line with the growth of data centers, the whole issue of input of resources and global trade has to be re-assessed. Based on European trade data, we know that computer software is heavily imported from the US, whereas we import the hardware to run the software in even higher shares from China. In view of the AI boom, this risks to worsen the European trade balance in the coming years. European digital sovereignty suffers as well, if we do not act upon it (compare Figure 8 in Eurostat report).
An easy fix is the shift to more computing-efficient software, which does not need or rely on more processor and memory imports from China for the hardware and imports of services like operating systems or office software from the US.
Just changing to Linux and OpenOffice lets you keep your hardware for several more years. Sustainability in computing isn’t hard to do. It is just a matter of determination. We can do it, if we really want to do it. The more rare earths become rare and more expensive, the larger the amount of people and businesses, who shall think twice about this.
European Digital sovereignty can work as a driver of sustainability in computing as well.

rainbow in front of clouds Brussels Central 2025

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Socio-technological obsolescence

The standard literature or AI-sytems will give you a definition of on technological obsolescence, which specifies that obsolescence does not mean that a device is broken, but that it is outdated. In computers this might be due to hardware no longer supporting newer, more resource demanding software, or newer software insisting on the use of other hardware. The seemingly rapid innovation cycles in smartphones, cars or robots might justify such technological obsolescence, but the real advances like shifts from 3G to 4G to the newer 5G mobile frequency standards have taken place rather slowly due to provider coverage of sufficiently large, particularly rural areas.
Therefore, the technological obsolescence has to be enlarged as a concept to socio-technological obsolescence as the societal, legal and economic boundaries of technological innovations have to be taken into account as well. Provisions for health concerns or CO2 saving circularity, i.e. reuse of resources have to be taken into account as part of a precautionary principle.
Computer screens have asked us to move from square designs to wide screens (watch videos) to smartphones’ standards of long formats. My 20 years old square screen has been doing a reasonable job throughout these periods, though not for serious games.
The socio-technological obsolescence relies on a “socio-technical prestige score” of products, like for luxury brands in other industries, where fashions drive obsolescence more than technology.
(Image: Robotic arm made by Kuka writes on paper sheet at Frankfurt book fair 2017)

 

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Deep Fake Threat

Our Western democracies are aware that “deep fake videos”, radio, online-newspapers and most of all social media platforms are all around us already. However, more scientific voices alert us that this threat to our easy or comfortable way of life to consume information eventually threatens the survival of our democracies. Previously, interference in elections used to focus on rigged election procedures, but in the 21st century powerful other alternatives can do the dirty job to bias elections against the original intentions of the electorate. The widespread use of AI will exacerbate the already practiced ways to produce deep fakes. In a preparatory self-test of an AI-assisted chatbot I was surprised myself of the quality of the output. A person not very familiar with my original voice in a second language would assume that it is me who is being interviewed in person. Based on a fake news text, any form will be automatically translated into voice only and/or video based on basic visuals.
Statisticians used to joke some decades ago: “Don’t believe in any statistics, unless you faked it yourself.” This is meant to encourage people to be aware of dangers of the use of statistics to influence opinions or official decision-making, like in policy making of central banks, which might be based on biased accounting for shrinkflation, cheatflation or greedflation to name just a few,
Hence, the need to strengthen awareness, analytical skills and critical thinking should be high on the agenda to defend our democracies. There are not only external military threats, but additional ones masked as internal threats.
(Image:: mice as humans in living room 2 couch potatos 1 on rocking chair, tea time)

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Robotics Hype 2026

Towards the end of 2025, it is common practice to look back on the last 12 months to summarize a year and to contribute to the “collective memory” of the year. From a “society and technology” perspective we shall not be surprised if such summaries will be full of images and praise of AI and robotics. However, large parts of the innovations that shall be declared to have marked 2025 were already around 10 years ago. It is just the timing for the new momentum and the creation of a hype around these technologies that is really remarkable (compare WSJ 2025-11-24 p 1-2 by Konrad Putzier).
It is true, playing around with robotics was reserved to universities, research institutes and some big players in industry. The public and financial markets showed little interest in these “nerdy” fields of applications. Although we were hardly able to compete with our chess computers, Watson solving math problems for us including the steps for us to follow. Video, image and textual support was provided by specialized applications already at high levels and in multilingual versions. In 2025 these techniques have enhanced with machine learning and neural network programming reaching higher speed and being able to use ever larger data sets as input.
But there are areas where the hype is coming to an end. How about all the artificial reality (AR), virtual reality (VR) applications? Many have seized to exist. Have you visited or invested in “Second Life” platforms? Opened a shop in the VR-world? Bitcoins have lost 7% of their value between 1.1.2025 and 24.11.2025 and they suffer still from high volatility rather than an uninterrupted rise.
War has fuelled the rise of shares in 2025 and “dual-use” technology benefits as well. AI has been driven by, and drives both trends.
In sum, it is much less the technological innovations in 2025 that are astonishing, but the political economy of how to orchestrate a sensational hype around the technologies.
(Image Hannover Industry Fair 2016-3-14).

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Sovereign data spaces

Data is the new gold, petrol or diamonds. In order to bring this message home to all people in the EU, the European summit on digital sovereignty had a small exhibition of projects that address these issues. City data spaces is such an initiative which has been running for quite some time now. In fact, from a city planner and data scientist perspective cities collect already huge amounts of data and can offer them to service providers, businesses and each and every one of us to organize our energy consumption, improve mobility patterns or any form of data or video streaming services. The amount of data captured and to be stored is growing rapidly. Just think of the Internet of things (IoT), maybe that’s only your wifi-connected coffee machine, oven or heating. Now add AI to this which allows the system to learn about your daily patterns to start the device in time for you to focus on other tasks. As we would like these data to stay confidential, the need for European digital sovereignty becomes sufficiently clear. It will take a huge effort to provide an adequate digital infrastructure for this “brave new world” and many people to work towards this objective. Train the trainers already, cause otherwise this is going to take ages before we can harvest the benefits in safe and sovereign manner.  

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Reverse causality

Reverse causality is a beast, which empirically minded scientist fear almost like death. However, many processes we study are running not only in one direction. In most cases, causality is tested with, or assuming, a unidirectional model of causality in mind. But some processes have not only a set of multiple causes to take into consideration, but some processes might be reversible or run in a rather complex manner, which are difficult to quantify. Mind captioning is a technique in neuroscience, where easy language is used to describe an image perceived in a person’s mind. Such thinking aloud data is based on thousands of brain scans, where people watched videos or images (study link).
In my own journey into the working of my mind I play around with different directions of causality. Sometimes the text is the origin and the image follows in a selection of a telling illustrations, but occasionally the reverse causality is at work. The image is the starting point and gets the mental process going. It is a rather complex process which is not easy to approximate with the help of algorithmic thinking. Reverse causality has many surprises to offer. As scientists we have a hard time to come to grips with it. (Inspiration Link) 

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EU Digital Sovereignty

If we try to search for digital solutions, we shall encounter a whole lot of American and Chinese products, but very few European companies that are able or willing to compete. Hardware mainly comes from China, software from the US, at least until AI was not working in the background. If we add Russian interference to destabilize our digital infrastructure to the scenario, we are not really fit for the challenges of the 21st century. The very definition of a country or political union is the affirmation and competence to assure its sovereignty, particularly in cases of territorial conflicts with neighboring countries. My health or mobility data are a rather private affair, however, our state governments in EU-Europe have done little to ensure our data integrity. Business is also at a loss, if they do not spend heavily on data security themselves, usually relying on external cooperation. 

The EU digital sovereignty summit took place in Berlin on the EUREF campus in 2025. It can only constitute a beginning for intensified cooperation in  this long overlooked policy area. It will be tough to catch up where production has been abandoned for decades.  

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Typewriter history

The history of the typewriter and typewriter is comparatively short compared to the history of literature or other technologies as partners in the creative process. With the advent of AI (here as part of infografix, see image below) the skills of using and mastering a typewriter have become almost obsolete. The original design by Remington (timeline below) has dominated for almost 100 years the technology of typewriters. Then came the electronic IBM technique with an automated correction type, which was not only faster, but also more forgiving of “typos”, short for typing errors.
The craft of handwriting had suffered a tough blow, despite its almost intimate touch to it. Knowing the typewriter outline by heart allowed typing with closed eyes or a focus on another text or image as well as a parallel thought process. Scientists and writers (Claude Levi-Strauss) reported on their creative process as intrinsically being linked to their typewriter.
QWERTY outlines for English language typewriters still dominate the keyboard typing today. With the AI interaction on the rise, we might move away from typing as a “Kulturtechnik” a technology of our cultural era and focus more on human-machine interactions via our voice and microphones. The underlying question, however, remains the same: What is the best technology to enhance our thought process? This, in fact, tends to be a very personal human choice, where technology plays only a subsidiary role.

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From AI to xAI

As humans, we like the feeling to be in control of things. This applies even to immaterial things like religious beliefs. Generative AI has created problems with its hidden structures and lack of transparency of their applications of algorithms (and combinations of algorithms) to basic data bases of knowledge and information. The use of xAI, which stands for explainable artificial intelligence, can address some of the concerns about the lack of transparency and explanation of responses from AI systems. Many users want to know in advance about the consequences of the use of specific words or notions in an instruction to AI. The interpretation of each single word by xAI can inform about the precision of interpretation (cheap versus cheapest, for example) or highlight the sensitivity to gender-neutral language or not in its guidelines. Additionally, ex post the xAI could indicate alternative notions in a prompt and, briefly, how this would affect results.
Yes, there is a trade-off between brevity of answer and room for explanations. As in psychology, there some value in a “thinking aloud” procedure for respondents in order to better understand (implicit) the reasoning behind a reply. xAI takes us a step further in this direction of asking AI to think aloud or more explicitly in a human compatible way of logic and broader reasoning.
Put AI on the psychotherapist’s bench and xAI will be to the advantage of many more humans again. Humans just don’t like black box systems that lack the necessary as well as sufficient transparency. (Image on the right: Patrick Jouin, chaise solide C2, MAD digital humanism).

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AI as individualizer

In a one pager in the journal “Rolling Stone” (2025, p. 9) Bruno Patino writes about the legendary David Bowie who was the first rock musician to launch a new song on the internet before it became available as CD (Telling Lies, 1996). As a pioneer in co-creation, Bowie anticipated somehow the trend and wish of people to personalize preferred songs even further and distribute such versions among friends. In this process, AI has become a powerful tool to push individualization even further and the digital social media allow even broader audiences beyond a more narrow circle of friends. Music maybe setting the trend  for some in the same field, other creative fields might follow the footsteps. The need to co-create collective experiences and participate in collective musical moments is likely to rise again as well.
Good news for music festivals across the world. Live concerts are the new form “collective individualism”.

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Passing barriers

In quantum physics the real trick is not the rebound of electrons like the rebound of droplets, but the passing of electrons of an insulating barrier. The experiment of the ”Josephson junction” has set a precedent to research the surprising macro-effect of “quantum tunnelling”. The 2025 Nobel Prize has been awarded to Clarke, Devoret and Martinis who observed these effects on a macroscopic scale. The applications in the most advanced quantum computers of today shows the enormous potential of this demonstration in pushing computing speed boundaries. The international competition to develop such, ever faster computers, based on quantum physics, is running on high development speed. In combination with the artificial intelligence (AI) developments, these types of combined machines are likely to outpace the development of human-based intelligence. It becomes even more important to define the limits for those machines by us. Subsequently, we shall have to make sure that such combined machines stick to the rules, we define(d).

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Deus ex machina

The term “deus ex machina” used to be applied more in its figurative meaning. With the rise of digital tools like chatbots, facilitated and enhanced through AI, God is speaking to us not only in multiple languages, but also from our pockets through our smartphones and headsets. This is a rather recent form of “deus ex machina”, which we did not expect some years ago. The bible as e-book or pdf-file has been around for some decades, but only more recently we can enter conversations with God through chatbots as another version of “deus ex machina “ about almost everything (and pay for it via digital credit card). Programming of such an AI-tool is easily achieved. AI will prepare a weekly or daily sermon or prayer for you, following your predilections of your favourite quotes of the bible. An interesting twist to the programming is to use authorized as well as unauthorized translations of the bible across several centuries.
Another interesting enlargement of the input data base is the inclusion of interpretations and discussions not only within your own religious community, but beyond. Maybe the discussion of several different religious chatbots with each other could prevent aggressions due to differences in basic beliefs. These “dei ex machina” might further our understanding of what makes us humans different from machines and machine-based solutions of human conflicts.
As genetic clones of ourselves have become already technically more feasible, our digital alter-egos (the comprehensive collection of traces in the internet and digital images, plus social scoring) help to empower those “dei ex machina”.
This kind of “Brave New World” asks us to be rather brave ourselves.
(Image: interior St Denis Basilique Cathedral Paris 2024)

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Chatbot Me We

In order to dig deeper into the functioning of AI, I deemed it expedient to construct, for example, a simple chatbot on a limited knowledge base from my own writings on AI (link to reader in previous blog entry here).
A toolbox from Google offers powerful assistance in such an endeavour. The outcome uses only my input text and no other sources. It is dynamic in the sense that it interprets questions and searches within the text file provided only. The answers are edited with a LLM (large language model) and provide flawless English texts. You can try it here using catchat as magic formula and Google account so far.
With a bit of programming knowledge (htlm, python, Java) and related learning sites it is feasible to come up with a “static” chatbot hosted at a free of charge provider as well. For learning purposes this step by step building and coding of a chatbot is helpful. The outcome is rather limited or requires a lot of time to increase the scope of Q & A interactions and to move from a static (predefined Q & As) to dynamic ones.
Full control of answers, excluding any hallucinations and high-speed replies, come at a cost. Take a look here. It is a very basic version so far, just to get the idea of it. full web address:
https://schoemannchatbot.eu.pythonanywhere.com/

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Chatbot Me

Chatbots are helpful to allow queries to larger data sets like the blog entries here. So here is a try of a Chatbot to query all entries on AI using ChatGPT to create a Chatbot that uses and references it source from www.schoemann.org/tag/ai and the AI reader in pdf-format.
Please send me an email if the hallucinations of this Chatbot 1.0 on AI from a social science perspective are giving strange results. I’ll get back to you. Please use at your own risk as I cannot guarantee for all answers. The usual disclaimer applies here.

ChatGPT proposed the following set of Questions and Answers on the blog for an entry into the chat: Example Q&A with the chatbot

Q: What are the social science concerns with AI?
A: Bias in results, job shifts, democracy risks, privacy, and new inequalities.

Q: What does the text say about reinforcement learning?
A: It’s seen as the next step for AI: focusing on learning and reasoning, not just predicting text. It also uses fewer resources.

Q: How are robots described in the document?
A: Robots are mostly assistants. They can follow people or carry small items, but more complex tasks need sensors and AI training.

Q: What about biased results?
A: Studies can be misleading if control groups are flawed. AI faces the same challenge — social scientists warn: “handle with care”.

Q: What is Schoemann’s blog view on AI?
A: He links AI to energy use, fairness, and its role in the “all-electric society” — stressing efficiency and responsibility.

More on the chatbot (in testing phase) and the Link to the coding help received from ChatGPT on this mini-test-project :
https://chatgpt.com/share/68c1d160-0cc0-8003-bf04-991b9e7c3b24

 

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AI Podcasting Me

Content producers have lots of tools at their disposal to get their content across to very different audiences. For some time the traditional media of newspapers, radio and TV were the prime outlets for content distribution. Social media have changed this to many more senders of content than before.
In the 21st century, AI allows to automate media productions. In a trial run I just used Google’s NetbookLM to generate 3 podcasts based on my own writings on AI over more than a year by now. The result is available and using artificial voices it is possible to broadcast yourself without revealing your own personal voice. I am not done with the evaluation of the outcome(s) yet, but the first impression is an interesting other form to spread content.
More tests are necessary to check for hallucinations as well.
Here are the links to my virtual podcasts:
AI, intimacy and insecurity

AI, Society and the Human Spirit

AI and the Human Mosaic: Navigating Our Interconnected Future

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Video Doku by AI

Based on my own blog on this webpage “schoemann.org” Google NotebookLM creates a video of about 7 minutes. Using Microsoft Clipchamp automatic subtitles with a slightly different storyline are produced based on the video data. In the end, the blog entries are re-modelled into something like a lecture on “AI in a wider social context” (see and play below). No voice layover so far, read by yourselves. A podcast format is another option.
It feels like walking across landscapes in my own mind. Content creators of today or the past never imagined the impact they might have through the powerful tools of AI. The only caveat, jokes I incorporated into the texts cannot really be handled by AI tools unless they are explicitly designated as such. These AI tools take me much more seriously as I do myself. This is serious.

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Mind Map Me

AI tools are great to assist learners in the task to get more structure into larger documents or books. It is up to the teachers or lecturers to use the tools themselves to pre-structure content they want other persons to learn. Mind maps are useful to summarise larger content and offer a tree-like structure to a text moving from the general to more specific content and then into details by at the same time not loosing sight of the overall structure of the content. Basics can be provided by Google’s NotebookLM and you may rework this basic structure yourself linking the mind map to the detailed content. Learning may start with a comprehensive mind map at the beginning to move on to details. Alternative versions of a mind map are equally feasible to come up with new combinations of subjects. This can be done using the tags of the blog entries in addition to the categories and fast search keywords.
It is a fascinating way to mind map yourself based on longer texts written by yourself. This clarifies a bit what potential readers or learners are likely to retain from reading your document(s) or blog entries.
Its worth trying, as others will most likely use these tools from now onwards anyway, whether we like it or not.
Image: Google NotebookLM Mind Map of my AI blog entries 2025-9-9.