Category: AI

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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)