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Laurence Dierickx

@ohmyshambles.bsky.social
1.9K followers 1.2K following 978 posts

MSCA COFUND LEAD AI Postdoc researcher in information/disinformation with a blend of information science, STS, ethics and journalism studies 🇳🇴 UiB + 🇧🇪 ULB ohmybox.info/about

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Reposted by Laurence Dierickx
Ethan Mollick @emollick.bsky.social · 03/10/2026
🎵 Wave of distillation 🎵(sung to the tune of the Pixies) US labs say Chinese labs distill their models. And Europe's new “sovereign model” is fine-tuned on data generated by… GLM and Qwen.
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Reposted by Laurence Dierickx
Cambridge Skeptics @cambskeptics.bsky.social · 02/10/2026
Within hours of the incident aboard a Tel Aviv-bound flight, social media had supplied ‘false flag’ claims, baseless accusations about the attacker’s nationality and a fake BBC report implicating Mossad and India. The investigation was still getting started. www.abc.net.au/news/2026-10...
abc.net.au
Fake news and deepfakes about flydubai flight spreading online
ABC NEWS Verify examines and attempts to debunk some of the fake news that's spreading online following the flydubai flight.
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Reposted by Laurence Dierickx
Hypervisible @hypervisible.blacksky.app · 01/10/2026
“More than any other digital service, my email is a window into my brain. Now Meta has it. If that's not enough, Muse also suggested I give it my bank accounts. No thanks. I didn't let the AI run wild on my computer hard drive, either.”
bbc.com
'Things may get ugly': Meta's new AI Muse is about to make the internet more annoying
Someday we'll redesign the internet for tools like this. Until then, you're in for a wild ride.
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
A Resituation of User Experience: Focusing on Slow Design dl.acm.org/doi/full/10....
dl.acm.org
A Resituation of User Experience: Focusing on Slow Design | Proceedings of the 43rd ACM International Conference on Design of Communication
You will be notified whenever a record that you have chosen has been cited.
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
The former may be in the scaffolding; the latter still includes an implicit trust in the model. Building that scaffolding is itself programming work. It changes where the programming happens and who gets to do it.
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
The scaffolding is where much of the trustworthiness comes from, but there’s a missing step here: the system built around the model still has to rely on the model. So I’d distinguish between where trustworthiness is engineered and where trust is required.
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Reposted by Laurence Dierickx
Iris van Rooij 💭 @irisvanrooij.bsky.social · 30/09/2026
We present a typology of traps to avoid: 1. Believing that AI systems are minds 2. Believing that AI systems are theories 3. Believing that cognitive science can be automated. Learn to recognise and avoid these traps. Failure to avoid leads to numerous problems.
Table 1: Typology of traps, what goes wrong if not avoided, and how the traps can be avoided. Note that all traps in a sense constitute category errors (Ryle & Tanney, 2009) and the success-to-truth inference (Guest & Martin, 2023) is an important driver in most, if not all, of the traps.
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
Cette histoire est aussi très symptomatique newsmachines.beehiiv.com/p/how-a-smal...
newsmachines.beehiiv.com
How a small AI lab in Norway built a vibe-coding ladder for non-coding journalists
Polaris Media Vest gave reporters who can’t code a way to build interactive tools for readers — and a clear line between the throwaway widget and the service worth maintaining.
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
Aujourd'hui, le vibe coding et les agents permet en tout cas de faire croire que les programmeurs sont devenus au mieux substituables et au pire obsolètes. Mais qui sera sollicité quand il y aura des problèmes de sécurité, par exemple ?
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
C'est une excellente question, je dirais sans doute à la BBC ou dans de grandes entreprises comparable. En ce qui concerne la Belgique, un journaliste tech interrogé pendant ma thèse a souligné que les journalistes s'étaient très souvent comportés comme des divas...
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
De-anthropomorphizing “AI”: From wishful mnemonics to accurate nomenclature firstmonday.org/ojs/index.ph...
firstmonday.org
De-anthropomorphizing “AI”: From wishful mnemonics to accurate nomenclature | First Monday
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
Anthropomorphising AI: Two Modes, Two Errors link.springer.com/article/10.1...
link.springer.com
Anthropomorphising AI: Two Modes, Two Errors - Philosophy & Technology
When interacting with social AI systems (SAIs), we routinely speak of what they ‘believe’, ‘want’, or ‘know’. With some exceptions, philosophers tend to treat such anthropomorphism as a single phenome...
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
Anthropomorphism and AI hype link.springer.com/article/10.1...
link.springer.com
Anthropomorphism and AI hype - AI and Ethics
As humans, we have an innate tendency to ascribe human-like qualities to non-human entities. Whilst sometimes helpful, such anthropomorphic projections are often misleading. This commentary considers ...
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
About anthropomorphism Constructing AI power: anthropomorphising imaginaries of generative AI by AI companies link.springer.com/article/10.1...
link.springer.com
Anthropomorphism and AI hype - AI and Ethics
As humans, we have an innate tendency to ascribe human-like qualities to non-human entities. Whilst sometimes helpful, such anthropomorphic projections are often misleading. This commentary considers ...
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Laurence Dierickx @ohmyshambles.bsky.social · 01/10/2026
How the data journalist Marco Maas used AI to build a second brain newsmachines.beehiiv.com/p/how-the-da... At least two things in this story: anthropomorphisation (which is obviously misleading about what a software programme is) and substitution (coders and programmers are no longer welcome).
newsmachines.beehiiv.com
How the data journalist Marco Maas used AI to build a second brain
Marco's agent Marvin now runs large parts of his working life and learns from every mistake. What makes it trustworthy is not the language model but the rules and checks built around it.
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Reposted by Laurence Dierickx
Rebecca Williams @rebeccawilliams.info · 30/09/2026
Photo of smashed ad for Muse in nyc subway
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Reposted by Laurence Dierickx
Dan Nguyen @dancow.bsky.social · 30/09/2026
after the nutgraf, the first 2,500 words of this is boilerplate about plagiarism and ethics that might as well have been from chatgpt. I'm not saying that it is, but if you're going to accuse someone of massive clear-cut plagiarism, you're obligated to start off with egregious specific examples
1: The Journalist, the Reader, and the Robot

Using LLM in journalism, whether for writing, research, and/or analysis, is not harmless. It fundamentally alters the connection between the author and the reader for the worse. 

News readers rely on journalists to take complex information about the world and summarize it in a way that can be understood by non-specialists. Every part of a journalist’s job, from research, to talking with sources, to formatting the information, to fact checking, to writing in an accessible way, is in service of this goal.

Journalists using chatbots to research and write their work gets in the way of all this.

1.1: Undisclosed AI Use

The point of journalism is to tell human stories. Humans have a way of
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
L'utilisation de modèles génératifs instables dans un contexte de rédaction sous pression fait peser des risques considérables sur la qualité de l'info et donc sur la confiance du lectorat. Cette incroyable histoire est à lire sur Alter Echos : www.alterechos.be/sudinfo-quan...
alterechos.be
Sudinfo – Quand l’IA écrit des articles
En journalisme, l’IA est un outil formidable pour la retranscription, la traduction voire la synthèse des informations. Mais en faisant écrire les articles par l’intelligence artificielle, la rédactio...
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Mais que dire si cet argument ne servait qu'à masquer le véritable enjeu : la pression visant à produire deux fois plus de contenu avec les mêmes ressources ?
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Si les lecteurs ne peuvent pas distinguer quand l'IA a apporté une contribution majeure à un article, peut-on encore parler de transparence ? L'argument principal est que l'IA fera gagner du temps aux journalistes.
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Le responsable de la rédaction affirme que l'IA n'est qu'un simple assistant. Pourtant, il semblerait que les instructions internes demandent à l'IA de rédiger des articles complets, incluant titres, chapeaux et intertitres.
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Ce document couvre dix scénarios de reportage courants (interviews, communiqués de presse, etc.), il associe chaque situation à une instruction (ou « prompt ») pré-rédigée, prête à l'emploi pour une IA. L'objectif est que le système IA produise l'article !
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Bien que cette pratique ne soit pas explicitement mentionnée dans le cadre de leur travail, elle soulève la question de savoir qui rédige réellement l'information. Tout part de documents reçu par les journalistes en avril et mai dernier.
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Ca se passe dans une grande rédaction régionale belge où des journalistes sont formés à intégrer des fichiers PDF, des communiqués de presse et des transcriptions d'entretiens dans des systèmes d'IA qui génèrent des articles.
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
Using unstable generative models when writing under pressure poses huge risks to verification, nuance and editorial quality. This story was reported in the latest issue of the Belgian magazine Alter Echos. www.alterechos.be/sudinfo-quan...
alterechos.be
Sudinfo – Quand l’IA écrit des articles
En journalisme, l’IA est un outil formidable pour la retranscription, la traduction voire la synthèse des informations. Mais en faisant écrire les articles par l’intelligence artificielle, la rédactio...
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
The main argument put forward by the newsroom’s manager is that AI will save time to journalists, allowing them to do more fieldwork. However, what about if this was just an argument that hides the real challenge: putting pressure to produce twice as much content with the same resources?
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
The newsroom manager says that AI is merely an assistant. However, it is reported that internal prompts ask AI to produce complete articles, including headlines, intros and subheads. If readers cannot tell when AI has made a significant contribution to a story, can that be considered transparent?
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
In April and May 2026, a Word document started to circulate among journalists. Covering ten everyday reporting scenarios, including interviews, press releases,etc. it pairs each scenario with a pre-written prompt ready for use with an AI system. The aim is for the AI to produce the article itself!
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Laurence Dierickx @ohmyshambles.bsky.social · 30/09/2026
At Belgium's largest regional newsroom, journalists are being trained to input PDFs, press releases and interview transcripts into AI systems that produce finished articles. While this is not disclosed as part of journalists' work, it raises the question of who is actually writing the news.
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Reposted by Laurence Dierickx
rasmuskleis.bsky.social @rasmuskleis.bsky.social · 29/09/2026
How do people define what is and is not news? In a new article led by Tali Aharoni based on analysis of 8 chat-based focus groups and 162 in-depth interviews, we document how not all journalism is seen as news, and not everything people call “news” is journalistic www.tandfonline.com/doi/full/10....
tandfonline.com
“Having Fun and Learning Something”: How Users in Four Countries Define What News Is – and Is Not
News categorizations are embedded in daily media routines. While research often relies on professional and academic definitions, users may have different understandings of what constitutes “news.” ...
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Laurence Dierickx @ohmyshambles.bsky.social · 29/09/2026
Ha ha je crois qu'il y a des réalités différentes selon les cas d'usage et que le problème principal vient sans doute de la non rentabilité de systèmes imparfaits qui posent autant de problèmes éthiques que de problèmes liés à la qualité de l'info numérique.
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Je travaille depuis quelques mois sur les moteurs de recherche LLMs dans un contexte journalistique. Ici, les ressources en accès libre ne sont pas les meilleures aussi parce que les contenus de qualité sont souvent derrière des paywalls. C'est aussi pour ça que la 1ere compétence est critique.
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Cela ne m'étonne pas tant, on ne peut pas bien bosser avec ce genre de système sans savoir exactement ce qu'il doit faire. Reste que pour un tas d'application grand public, la qualité est variable et il y a une différence entre s'en servir pour une lettre de recommandation et un tâche à forte VA.
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Ces bons vieux ML et NLP restent bien indiqués dans de nombreux cas de figure. Le danger des modèles de langage, est de croire que l'on peut tout faire et tout maitriser en n'ayant pas les fondamentaux du métier.
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Le hype c'est aussi de ne pas s'intégrer comme prévu dans le business car ça reste une affaire économique - et ça ne prend toujours pas partout, reste à surfer sur la vague à coups de prédictions souvent apocalyptiques. www.gartner.com/en/articles/...
gartner.com
When Not to Use GenAI: Choosing the Right AI Technique
Find out when GenAI falls short and why alternative AI techniques may be a better fit for your business needs.
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Le problème est vraiment les cas d'application. Ici, par exemple, une excellente expérimentation (mais pas scalable pour des questions de ressource): Can AI Outsmart Fake News? Detecting Misinformation with AI Models in Real-Time journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Mais il faut distinguer les usages de mr et mme Toutlemonde des usages professionnels où des modèles sont intégrés dans des chaînes métier (et là on est dans le domaine de la gestion informatique).
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
Ca dépend sur quelles tâches. Dans ma recherche sur les prompts en fact-checking, les modèles ont clairement du mal quand il s'agit de faire dans la nuance. De plus, ils ne sont pas entraînés pour dire le vrai mais le plausible.
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
AI existential risk probabilities are (still) too unreliable to inform policy www.normaltech.ai/p/p-doom
normaltech.ai
AI existential risk probabilities are (still) too unreliable to inform policy
How speculation gets laundered through pseudo-quantification
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Laurence Dierickx @ohmyshambles.bsky.social · 28/09/2026
🚨From normative principles to epistemic governance: A workflow-based analysis of European journalism ethics in datafied environments - 37 European ethics codes examined: principles hold, but data practices remain largely off the radar journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Reposted by Laurence Dierickx
Jay Van Bavel, PhD @jayvanbavel.bsky.social · 27/09/2026
Conspiracy Believers Are 91% Likely To Hold Incoherent Beliefs Can one believe Princess Di was murdered by and faked her own death? Both can’t be true. A new study N~9,000 finds that holding 2 incompatible ideas at once isn’t a quirk, it’s practically the rule. studyfinds.com/conspiracy-b...
studyfinds.com
Conspiracy Believers Are 91% Likely To Hold Incoherent Beliefs, Study Finds
A new study finds people at the extreme end of conspiracy thinking have a 91% predicted chance of holding incompatible beliefs.
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Laurence Dierickx @ohmyshambles.bsky.social · 27/09/2026
Absolutely, and in this case it looks like Google Scholar just scrapes HTML citation meta tags, so any site that mimics a journal's markup gets indexed, and profiles auto-attach by name matching. The ORCID string on the fake page isn't parsed as a claim at all. It's there to persuade human readers.
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Laurence Dierickx @ohmyshambles.bsky.social · 27/09/2026
The scholar says that a fabricated article was published on the website of a fake journal, bearing his name and current affiliation, and that it was then indexed in Google Scholar. I don't know more about this case, but anyone can copy-paste an ORCID number on a web page.
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Laurence Dierickx @ohmyshambles.bsky.social · 27/09/2026
Si vous ne l'avez pas encore lu, cet article est particulièrement éclairant (j'ai un immense respect pour cet immense philosophe et chercheur) : papers.ssrn.com/sol3/papers....
papers.ssrn.com
Why the AI Hype is Another Tech Bubble
This article argues that the current hype surrounding artificial intelligence (AI) exhibits characteristics of a tech bubble, based on parallels with five previ
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Laurence Dierickx @ohmyshambles.bsky.social · 27/09/2026
Pas tellement étonnant, et qu'est-il possible de prévoir avec ces technologies ? Il est même possible que ces gens ne voient même pas à la semaine... qui sait ?
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Laurence Dierickx @ohmyshambles.bsky.social · 26/09/2026
More insidiously, its title and topic mimic research he has actually done, which makes the false attribution all the more believable. The harm is more than personal. Once archived and indexed, a sham paper can look legitimate, eroding trust in attribution, accountability and the scholarly record.
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Laurence Dierickx @ohmyshambles.bsky.social · 26/09/2026
Academic ghost-authorship just got weirder. A researcher has revealed on LinkedIn that Google Scholar alerted him to a paper he never wrote, in a journal that doesn't exist, published under his name and ORCID number. The article itself is AI-generated nonsense with no scientific value.
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Reposted by Laurence Dierickx
Le Cheikh @lecheikh.bsky.social · 26/09/2026
Grâce à l’IA, l’avenir de la recherche s’annonce radieux… 🙃
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Reposted by Laurence Dierickx
Social Media Lab @socialmedialab.ca · 26/09/2026
"Oxford lets OpenAI train its AI models on Bodleian Library. University staff voice concerns over reputational risk of partnering with company behind ChatGPT." www.theguardian.com/technology/2...
theguardian.com
Oxford lets OpenAI train its AI models on Bodleian Library
University staff voice concerns over reputational risk of partnering with company behind ChatGPT
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Laurence Dierickx @ohmyshambles.bsky.social · 26/09/2026
Les tech IA ne sont pas nécessairement une économie : McKinsey warns that AI may get a lot more expensive for companies www.businessinsider.com/mckinsey-ai-... Ca doit aussi jouer dans la balance (reconnaissant aussi que l'économie n'est pas mon domaine donc compétences limitées là-dessus).
businessinsider.com
McKinsey warns that AI may get a lot more expensive for companies
McKinsey warns companies that AI spending may rise further and be less predictable with adoption of agents
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