Lego was losing $1 million a day. 💸

Warehouses were overflowing.

Costs were out of control.

Even billion-dollar franchises like Star Wars and Harry Potter couldn’t save them once the movie hype wore off.

By 2003, Lego was staring bankruptcy in the face.

Then in 2004, something radical happened:

They hired Jørgen Vig Knudstorp — the first non-family CEO in Lego’s history.

And he made bold, uncomfortable moves most leaders would avoid:
• Cut Lego’s unique bricks from nearly 12,000 down to less than 7,000.
• Slashed the product development cycle from 2 years to 1.
• Sold off theme parks, clothing lines, and video games.
• Shut down factories and cut 1,000 jobs — saving $600M in two years.
• Outsourced manufacturing so the company could focus on design.
• Introduced “war room” accountability: every product head posted results and action steps for all to see.

The message was simple:

Stop chasing distractions.
Get back to the brick.

But Knudstorp didn’t just cut — he rebuilt Lego’s culture around fans and innovation.
• Superfans were invited into R&D through programs like LEGO Ideas (where fans could submit and vote on new sets).
• Expensive, over-engineered parts like micro-motors and fiber optics were scrapped.
• Creativity, not complexity, became the guiding principle.

The results were staggering.

Within 5 years, Lego was profitable again.
By 2015, it had overtaken Mattel to become the #1 toy company in the world. 🚀

And then came The Lego Movie in 2014.

What could’ve been a 90-minute commercial turned into a global cultural hit — spawning sequels, spin-offs, and billions in new sales.

The lesson?

Turnarounds don’t always come from doing more.

Sometimes they come from doing less.

From stripping back to your core.

From focusing on what made you great in the first place.

Because the thing that saves your business might already be in your hands.

#Leadership #BusinessGrowth #TurnaroundStory | 1,335 comments on LinkedIn

The Chinese translation of Metaliteracy: Reinventing Information Literacy to Empower Learners, the first book introducing the metaliteracy model that I co-authored with Trudi Jacobson, has been published (https://lnkd.in/gNxkpnii). Many thanks to Wu Changhong (Bella Wu) at Northeast Normal University for initiating and completing the translation, and to ALA Editions for supporting the project. This new translation expands the global reach of metaliteracy among students and educators across academic and library communities in China. #metaliteracy #infolit #InformationLiteracy #HigherEducation #AcademicLibraries #GlobalLearning #DigitalLearning

Five friends and Ebola veterans sat down to talk about Bundibugyo. The operational details are where this gets scary.

“The concern isn’t that AI will produce obviously bad papers. It’s that it will produce, at scale and at speed, the kind of papers that are already crowding the journals: technically adequate, marginally novel, epistemically forgettable, those “modal” papers that get a handful of citations throughout their lives.”

https://lnkd.in/eVqiqbND

The domestic cat may be a far more recent arrival to Europe than previously thought, arriving roughly 2000 years ago and not because of the Paleolithic expansion of Near East farmers.

The findings in Science offer new insight into one of humanity’s most enigmatic animal companions and identify North Africa as the cradle of the modern housecat.

Learn more during #NationalPetMonth: https://scim.ag/4f44pPw

As more people turn to chatbots for medical guidance, the technology is revealing both its promise and its risks

Last year, scientists stumbled on a fascinating, troubling finding: people are steadily speaking less with one another.

Lots of studies use "passive sensing," recording (with their permission) audio from people's everyday lives. Data like this allows scientists to quantify people's conversations--which, it turns out, are dwindling.

Between 2005 and 2019, people spoke an average of 338 words less to each other *per day.* This is the equivalent of 120,000 unspoken words per year. Jane Austen's Sense and Sensibility is around that long. Imagine reading it aloud. That's how many words of conversation people are losing each year.

Connection and social health depends on real, live interactions, making all this silence (perhaps interrupted by typing) a real problem. And a reversible one. Nicholas Epley, Gillian Sandstrom and many others are on a quest to get people talking more. If you heed their advice, you are also fighting back against a lonelier world of unspoken words. | 36 comments on LinkedIn

Just published in Science (!!), and a landmark achievement for ARISE.

An LLM (o1-preview) outperformed physicians on multiple clinical reasoning tasks, including blinded second opinions on real emergency department cases from BIDMC.

Also notable: physician raters were unable to tell whether a differential came from AI or a human. One rater responded “can’t tell” in 83.6% of cases, the other in 94.4%.

Most likely near-term use case: AI as a high-quality second-opinion and reasoning support tool, especially early in the diagnostic process when physicians have incomplete information.

Peter Brodeur, MD, MA, Thomas Buckley, Adam Rodman, Jonathan H. Chen, Arjun Manrai

With a fantastic team: Robert Gallo, Zahir Kanjee, Evelyn Bin Liang, Priyank Jain, Stephanie Cabral, Raja-Elie Abdulnour, Adrian Haimovich, Andrew Olson, Daniel Morgan, Haadi Mombini, Liam McCoy, Christopher Lucas, Jason Hom, Jason Freed, MD, Daniel Restrepo, Eric Horvitz

+ would not have been possible without Yevgeniya Nusinovich's guidance and support throughout entire process. | 54 comments on LinkedIn

2031. Vous êtes consultant senior depuis 15 ans. L'IA fait votre recherche, vos slides, vos premiers jets. Vous validez. Depuis 5 ans, vous n'avez pas rédigé un paragraphe seul. Un matin, le système tombe. Vous ouvrez un document vierge. Rien ne vient. 🧠

L'étude du MIT Media Lab l'a montré. 54 adultes suivis pendant 4 mois. Connectivité neuronale réduite de 55% chez les utilisateurs de LLM. Time Magazine l'a titré. Le Data Science Collective a parlé de "47% Collapse in Brain Activity".

Ce qui est en train de mourir :
👉 Le muscle de la rédaction. 83% des utilisateurs de LLM sont incapables de citer un passage du texte qu'ils viennent d'écrire. Ils ne reconnaissent pas leur propre travail.
👉 La connectivité même après arrêt. Quand les utilisateurs habituels reprenaient une tâche sans assistance, leur connectivité restait réduite. Le cerveau peinait à redémarrer seul.
👉 La capacité à détecter les erreurs. Harvard et BCG : +40% de performance dans la zone de compétence de l'IA. Moins 19% en dehors. Le danger n'est pas que l'IA se trompe. C'est que vous ne sachiez plus repérer où.

Trois antidotes :
1️⃣ Faire avec, pas faire après. Si vous n'intervenez qu'à la fin pour valider, vous êtes un dirigeant qui lit un rapport sans avoir participé à aucune réunion. Réintroduisez des checkpoints humains.
2️⃣ Orchestrer, pas subir. Construire le système, définir les étapes, choisir où intervenir. La première posture construit de l'expertise. La seconde accumule de la dette cognitive.
3️⃣ Garder une discipline de pensée autonome. Régulièrement, fermez l'IA. Rédigez seul. C'est la salle de musculation du jugement. Par hygiène cognitive.

Ma conviction : la dette cognitive est le danger silencieux de l'ère agentique. Invisible au début. Catastrophique quand on découvre qu'on ne sait plus évaluer si les résultats sont bons.

Série "La Mort du Conseil" [6/10]. Le muscle intellectuel est mort. Demain : la confiance passe sur la table.

🚀 Dirigeants : votre consultant valide-t-il encore ce qu'il produit, ou appuie-t-il sur un bouton ? 👉 https://lnkd.in/e6k46944
🎓 Consultants : -55% de connectivité neuronale. Votre cerveau est votre outil. Protégez-le. 👉 https://lnkd.in/eaJd3bZ8
🎯 Masterclass gratuite : de consultant à architecte IA en 1h. 👉 https://lnkd.in/eZGGrvvY
🚀 Un projet IA ? Un séminaire CODIR ? Un bootcamp interne 👉 https://decisionia.com/rdv

-55% de connectivité neuronale. 83% incapables de citer leur propre texte. Et vous, vous savez encore ce que vous avez écrit ce matin ? 👇 | 79 comments on LinkedIn

🎓 10 Educational Leadership Mistakes That Kill Teacher Productivity — And How I Would Fix Them

Most schools don’t struggle because teachers lack talent.

They struggle because leadership systems reduce teacher productivity.

When teachers lose:
❌ time
❌ clarity
❌ motivation
❌ ownership

students eventually pay the price.

These are the 10 leadership mistakes I frequently observe in schools — and how I would address them as a principal. 👇

1️⃣ Unclear Priorities
👉 Too many tasks, little focus
✔ Fix: Define 3 clear school priorities and align work accordingly

2️⃣ Excessive Administrative Load
👉 Teachers spend more time on paperwork than planning
✔ Fix: Simplify and digitize routine processes

3️⃣ Last-Minute Communication
👉 Sudden updates create stress and poor execution
✔ Fix: Weekly communication system with advance planning

4️⃣ Meetings Without Outcomes
👉 Long discussions, no decisions
✔ Fix: Agenda-based, time-bound meetings with action points

5️⃣ Micromanagement
👉 Constant checking kills ownership
✔ Fix: Trust + accountability + coaching culture

6️⃣ Slow Decision-Making
👉 Small issues remain pending too long
✔ Fix: Fast escalation and quick resolution systems

7️⃣ Lack of Recognition
👉 Consistent effort goes unnoticed
✔ Fix: Monthly appreciation and recognition culture

8️⃣ Fear-Based Leadership
👉 Teachers stop innovating when fear increases
✔ Fix: Safe feedback and learning environment

9️⃣ Weak Collaboration
👉 Departments work in silos
✔ Fix: Cross-team planning and peer learning systems

🔟 Ignoring Teacher Well-Being
👉 Burnout silently reduces productivity
✔ Fix: Balanced workload and supportive leadership

🎯 My Leadership Belief

If I become principal, my first goal would not be control.

It would be removing the barriers that stop teachers from doing their best work.

Because when teachers thrive:
✔ students perform better
✔ culture improves
✔ parents trust more
✔ results become sustainable

A strong principal doesn’t just manage operations.

A strong principal multiplies teacher productivity.

— Mohini Sudarshan Bedge

#SchoolLeadership
#PrincipalLeadership
#EducationLeadership
#SchoolImprovement
#TeacherProductivity
#EducationalManagement
#innovation
#cbseschool

💡 Les IA ne s'étonnent pas (encore)

Le philosophe Charles S. Peirce appelait abduction « la seule opération logique qui introduise la moindre idée nouvelle ». Face à un fait surprenant, elle propose une explication possible et franchit ce qu'il nomme un seuil vertical, c'est-à-dire qu'elle change de niveau explicatif.

Or un modèle de langage fonctionne par extrapolation horizontale. Sa pente est statistique. Il prolonge ce que son corpus a déjà dit mais ne franchit pas de seuil.

L'analyse stratégique vit pourtant de ce franchissement. C'est même ce qui la distingue d'un simple résumé documenté. Elle prend de la valeur au moment où un concept né dans un autre champ rend soudain lisible une situation qui semblait inerte, ou quand une page d'un philosophe d'autrefois éclaire un blocage organisationnel d'aujourd'hui. Ces rapprochements ne sortent d'aucune statistique de corpus. Ils supposent quelqu'un qui sache dans quelle direction creuser, et pourquoi cette direction.

Peirce parlait d'imagination et de créativité à l'œuvre dans l'abduction. Mais imagination et créativité ne sortent pas du néant. Elles puisent dans un capital sédimenté qui ne s'acquiert qu'avec patience. Voilà ce que la culture du retour sur investissement immédiat dévalorise depuis longtemps : la lecture longue, la connaissance qui dort, les détours dont l'utilité ne se révèle parfois que des années après.

Le généraliste cultivé est cet investisseur patient. Il accumule des connaissances dont il ne peut pas prévoir l'usage, en sachant qu'une partie restera dormante et qu'une autre, le jour venu, vaudra son pesant d'or. À mesure que les LLM externalisent la spécialité, cette posture redevient stratégique. Le spécialiste pur est rattrapé par les modèles, et celui qui se contente de compiler aussi. Ce qui reste rare, c'est celui qui sait quel champ aller activer pour faire surgir un rapprochement surprenant, fécond.

L'abduction a ses défauts, et ma thèse en pointe trois : la tentation des hypothèses séduisantes mais fausses, la prolifération de pistes concurrentes qu'on ne peut pas trancher rapidement, et le biais de confirmation qui s'amplifie quand l'analyste s'attache à son intuition initiale. C'est pourquoi le rapprochement fécond ne suffit pas. Sans épreuve des hypothèses, sans recherche de ce qui les infirmerait, l'abduction reste un jeu d'esprit. Ce qui distingue l'analyste du conférencier brillant, c'est précisément qu'il sait conduire les deux temps.

Et vous, quel auteur fréquentez-vous en ce moment sans savoir où ça va vous mener ?

(Extrait de ma thèse de doctorat, 2025 - Lien en commentaire 👇)

#VeilleStratégique #IntelligenceÉconomique #PenséeCritique #Abduction #IA

Congressman Greg Murphy, MD wrote: “ Unless our Medical Schools do a better job screening admissions candidates, we won’t have any doctors. If you don’t want to practice FULL time for at least 20-25 years, pick another profession.”

His comment was in response to a new study which shows 20% of physicians quit after 5 years.

My dad practiced gastroenterology for more than 40 years. His physician friends mostly did the same. Some talked about retiring for a decade. Some retired and came back multiple times. Some “cut back” to a schedule that still looked suspiciously like full time. You could not get them to stop.

That older model of medicine clearly had pride, purpose, identity, and endurance built into it.

But something has changed.

Maybe younger physicians are less willing to sacrifice their whole lives for the job. Maybe the job itself has become harder to recognize. Maybe full-time clinical medicine now includes so much inbox work, administrative friction, moral injury, and corporate pressure that comparing generations misses the point.

I don’t think the answer is simply screening medical students for who will tolerate the most pain.

The better question is why so many talented people are leaving so early.

What changed: the doctors, the job, or the deal medicine made with them?

Nisha Mehta, MD | 293 comments on LinkedIn

Mapify transforme tout contenu en carte mentale. Idéal pour synthétiser un cours ou organiser une recherche. Lisez l’article pour des exemples concrets et une prise en main rapide.

Holy crap. This bizarre graphic looks like the nastiest possible conspiracy view of scientific corruption, with multiple pathways for fabricated or irrelevant citations to get through all the filters and into the literature and even review articles. But if you read this post, it's not fictional: it's actually documented. And it has significantly expanded since the arrival of LLM's. What the heck can we do about this? Peer review and tough editors were supposed to save us but that clearly is not working. Now what??

Peter Frishauf Charlotte Blease, PhD Amy Price MS, MA, MS, DPhil

📣 L’AUF Moyen-Orient signale que l’Université Saint-Joseph de Beyrouth - USJ met à disposition des ressources libres relatives à la pédagogie universitaire, accessibles à travers le lien https://lnkd.in/drPMfiiS

🗒️ Ces ressources portent sur de nombreuses thématiques pédagogiques dans le contexte de l’enseignement supérieur, notamment sur l’usage de l’intelligence artificielle centré sur le développement des compétences.

Beaucoup d’entre elles ont été produites grâce au soutien de l’AUF, comme le Manuel de pédagogie universitaire et le Guide d’évaluation des compétences.
Une sélection de références et liens utiles est également mise à disposition.

🔗 Découvrez-les via ce lien : https://lnkd.in/dfT6yR9k

The promise of AI in medicine is real. So are the risks.

In my latest KevinMD op-ed, I describe my own brief encounter with an AI health platform that was polite, fast, and superficially reassuring, but did not do what physicians are trained to do: interrogate uncertainty, synthesize context, and assume responsibility for clinical judgment.

The experience raised larger questions about autonomous AI in health care. If a system can renew prescriptions, suggest diagnoses, and present itself as an “AI doctor,” then convenience is not enough. We need clear standards for validation, scope of practice, supervision, transparency, and accountability.

AI can assist clinicians. It can streamline care. It may help expand access. But "speaking" fluently does not demonstrate competence, and passing along information does not replace the application of seasoned judgment.

Until autonomous clinical AI is held to standards commensurate with the authority it seeks, patients and physicians should remain cautious about confusing speed with care.

“AI Clinical Judgment is What AI Chatbots Still Lack.” Read it below.

#ArtificialIntelligence #AIinMedicine #HealthcareAI #ClinicalJudgment #PatientSafety #DigitalHealth #MedicalEthics #HealthPolicy #PhysicianLeadership #KevinMD

🚨 EARLY GIVEAWAY ALERT 🚨

We are giving you a head start to celebrate UNESCO #lightday2026 with our shareable banner! 🎨

Download them from our website and share them on your socials tomorrow and join the celebration of light science and technology worldwide 💡🎊

Remember to tag us, as you share your events
and outreach updates on socials💥

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Official hashtag: #lightday2026

🎯 9th edition focus theme: Light for a Sustainable Future

📣 It’s never too late to register your event, every effort matters!
➡️https://lnkd.in/ev9_FA8a

Best wishes all 🤩
Team IDL2026

#lightday2026 #eventoutreach

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