☕ 𝗟'𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗼 𝟴.𝟭𝟱 — 3 extensions Chrome pour libérer NotebookLM

NotebookLM est devenu central dans mon processus d'exploitation de l'information. Mais gérer ses carnets, importer efficacement, travailler confortablement ? L'interface de base ne suit pas. J'ai testé une quinzaine d'extensions : voici les 3 que j'ai gardées.

🔸 NotebookLM Tools : le couteau suisse qui manquait. Tableau de bord pour voir et agir sur tous ses carnets, recherche et tri instantanés, changement de langue à la volée, ajout de sources par lots, détection des doublons. Ce que Google aurait dû intégrer dès le départ.

🔸 YouTube to NotebookLM : envoie vidéos, playlists ou chaînes entières vers un carnet. Idéal pour transformer une veille vidéo en base de connaissances exploitable.

🔸 WideScreen Mode : pour améliorer l'ergonomie. Panneaux ajustables, mode plein écran, interface élargie. Indispensable quand on passe des heures dans l'outil.

💡 𝗟'𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗲𝗹 : Un bon outil se repère à la manière dont sa communauté comble ses manques.
—
𝗝𝗲 𝘃𝗼𝘂𝘀 𝗽𝗼𝘀𝗲 𝗹𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 : Vous utilisez NotebookLM brut, ou vous l'avez déjà « augmenté » ?

#NotebookLM #PKM #IAGenerative #Veille #Productivité
(Liens en commentaire)

One deep clean-up I did over the New Year: Clearing up my digital information environment.

I was getting tired of drowning in the endless flood of digital content—jumping between websites, swiping through algorithm-driven feeds, and saving articles I never returned to. It felt overwhelming, noisy, and… out of control.

So I did two things that made a difference.

📌 #𝟭. 𝗖𝘂𝗿𝗮𝘁𝗶𝗻𝗴 𝗺𝘆 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝘀𝗽𝗮𝗰𝗲.
 I moved away from passive consumption of information and toward active curation using an RSS aggregator. I chose Inoreader since it offers strong features, including unlimited folders/tags, better search, deep customization, and even automation. For example, you can set rules to surface articles from the feeds that truly match your interests.
By pulling my favorite YouTube channels, newsletters, blogs, and social feeds into one space, I’ve taken back the wheel. I no longer have to chase content across a dozen locations. More importantly, it requires me to be an info gatekeeper: if a source isn't worth following in my reader, it isn't worth my attention. It’s about consuming with discipline and taste, not an algorithm told me to.

📌 #𝟮. 𝗗𝗲𝗹𝗲𝘁𝗲𝗱 𝗺𝗼𝘀𝘁 𝗼𝗳 “𝗦𝗮𝘃𝗲 𝗜𝘁 𝗳𝗼𝗿 𝗟𝗮𝘁𝗲𝗿” 𝗚𝗿𝗮𝘃𝗲𝘆𝗮𝗿𝗱
I cleaned out all the saved content that I never read in the last year.
Like a digital hoarder, I’d been collecting links, screenshots, and PDFs, thinking I’d come back to them at some point. But I never reaccess most of them. So I did a strenuous deep clean, deleting the fluffy and migrating the truly high-value gems into Notion. Seeing my curated knowledge organized in one central location felt like a weight off my shoulders. It took effort, but the mental clarity was worth it.

👩‍💻 𝗪𝗲 𝗮𝗿𝗲 𝘄𝗵𝗮𝘁 𝘄𝗲 𝗿𝗲𝗮𝗱. 
As with healthy eating, avoiding large/fast-food-style content driven by algorithmic feeds, and actively choosing and focusing on smaller amounts of high-quality content are crucial for ensuring a healthy mind.

Algorithm feeds access will continue to dominate the masses. At the same time, personal/intent-driven content agents (built on RSS infrastructure and leveraging AI agents) will grow, designed for people who value autonomy, focus, and quality in what they consume.

What’s your approach? And how might you choose to consume content differently to improve your mind in the new year?

---------------------------------------------------------
📚 Good books remain high-quality, dense sources of content. My Newsletter Shares Essential Reading for Designers in the AI Shift. ⬇️
https://lnkd.in/gkakx2iA

Venezuela is part of an agreement done between trump and putin - Here is Fiona Hills testimony from October 14th 2019... This explains very well why US no longer stands behind Ukraine.... This explains why russian/chinese radars and air defenses where not active during US illegal attack on Venezuela and this explains why US has redrawn from and now wants Europe divided into separate nations, as these are easier to take.

What trump and his administration did was illegal, but it will have no consequences... not in the US and not at the UN, this will lead to more... Greenland might be next, or Canada, or Mexico...

But Americans - remember that War Always Come Home!

This is what the republicans in the US voted for - they were warned, but chose chaos and the Age of Greedy Old Men.

PS And that Manduro is gone is good - but that US now wants to take control of Venezuela and their oil is theft...

#UStoday #republicanparty #republicans #dictatorship #epstein #willofthestrong #Greenland #war #UN #EU #Europe #Ukraine | 77 comments on LinkedIn

☕ 𝗟'𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗼 𝟴.𝟭𝟱 — Infobésité : l'accès à tout, la maîtrise de rien.

527 zettaoctets de données d'ici 2029. Un chiffre qui dépasse depuis longtemps notre capacité même à nous le représenter.
Bienvenue dans la Bibliothèque de Babel...

🔸 Manuel Castells l'avait anticipé il y a 25 ans : nous sommes passés d'une économie de services à une société de l'information. Le numérique ne se contente plus d'outiller nos gestes, il reconfigure notre manière d'apprendre, de décider, d'agir.

🔸 Borges imaginait une bibliothèque contenant tous les livres possibles — y compris ceux dénués de sens. C'est exactement notre situation : un océan où la valeur se noie dans le bruit.

🔸 Disposer de l'information ne suffit plus. Il faut savoir ce que l'on cherche, l'identifier, l'analyser, l'interpréter. Un « portulan cognitif » pour tracer sa route.

💡 𝗟'𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗲𝗹 : Ce n'est pas l'accès aux données qui fait la différence, c'est la capacité à en extraire du sens.
—

𝗝𝗲 𝘃𝗼𝘂𝘀 𝗽𝗼𝘀𝗲 𝗹𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 : À quel moment avons-nous cessé de chercher du sens pour nous contenter de stocker ?

📖 Ces éléments sont tirés de l'introduction de ma thèse de doctorat. Chaque semaine, j'en partagerai ici un nouveau passage.

#VeilleStratégique #IntelligenceEconomique #Données #Infobésité

Trust has been the foundation of scholarly publishing for hundreds of years, but for how much longer?

Researchers often mistrust publishers because of profit margins and poor customer service.

Publishers increasingly struggle to trust researchers because of paper mills and AI-generated slop.

One of my takeaways from yesterday’s discussions at the STM meeting on research integrity is that publishers are putting their trust in systems and processes, rather than in researchers.

This cultural change is significant and should not be underestimated.

Academic publishing has historically been a trust-based system.

However, the volume of content created by bad actors is simply too great for publishers to be able to assume that researchers are telling the truth.

To make matters worse, soon AI-generated images and figures will be too sophisticated to spot. It will be impossible to differentiate fact from fiction.

The foundation of the problem is that many (most?) researchers are incentivised to focus on the experimental results, rather than the experimental process.

Speed is prioritised over accuracy
Quantity is more important than quality
Authors matter more than readers

Why? Because grants and tenure depend on generating positive results at scale. AI tools make it easier to cut corners and make stuff up.

Publishers need to up their game by reacting more quickly to integrity problems when they are spotted. How? By devoting more resources to maintain the trustworthiness of the scholarly record.

However, the root cause of the problem is the academic reward and incentive system (hardly a revelation, I know).

Scientific communication will become more expensive and more exclusionary if trust is lost at scale. We are at a pivotal moment in the history of academic publishing.

---

I’ve been to many conferences over the years, but this week's meeting was one of the best. The organising committee and speakers deserve praise and congratulations. Great job everyone! | 39 comments on LinkedIn

🇨🇳 Cette photo est magnifique, et j’y vois un symbole. Un paradoxe.

L’héritage qui se fond dans la modernité.
Le buffle d'eau et le golden retriever.

La Chine,
c'est un culte.
L'équilibre d’un grand mouvement.
Et le déséquilibre de trop de stabilité.
Anne Cheng parle de continuisme.

Sous son ciel immense, mille paysages.
Du nord au sud, d’est en ouest, elle se déploie comme une géographie du vertige.
Elle réunit presque tous les climats de la Terre : glaciers de l’Himalaya, prairies du Qinghai, dunes de Tachlamachan, rizières du Yunnan et sa grande Baie, la plus vaste mégapole du monde.

Mais en 2025, la Chine fait face à une équation planétaire : nourrir un cinquième de l’humanité tout en rétablissant l’équilibre entre sa croissance, le ciel, la terre et l’eau.

Elle perd des habitants aussi, à une vitesse folle.

Son destin se joue dans cette tension entre béton et bambou. Mais quand elle trouvera l’équilibre, alors la planète entière respirera mieux. Car l’avenir de l’humanité n’est plus indépendant de l’avenir de la Chine.

A tous les amoureux de la pensée chinoise, je recommande les extraordinaires conférences du Collège de France de l'historienne Anne Cheng.
C'est un bonbon de savoir sur le taoïsme, Confucius et l’histoire de la Chine ancienne.

C’est fascinant.
Episode 1 : La Chine, civilisation anthropo-cosmique. A écouter ici : https://buff.ly/qtHV45I

#China #photo #expo #Geneva #Chine #PlaceDesNations

Merci à Daniel Kordan pour cette photo sublime qu'il m'a autorisé à utiliser dans l'exposition Place des Nations à Genève. Cliquez ici pour en savoir plus : https://buff.ly/JxzdnvC | 15 comments on LinkedIn

Academia taught you to undervalue yourself.

Here is the irony.

The system that makes you feel replaceable is also building one of the most versatile skill sets in the professional world.

Data analysis under uncertainty.
Project management with minimal resources.

Technical communication under constraints.

Cross-functional collaboration across cultures.

These are not "academic skills."
These are exactly what life sciences companies pay for.
The problem is not value. The problem is translation.

Most PhDs describe themselves as "I only know how to do research."
That is the wrong frame.

You do not just do research. You design experiments. You manage complexity. You make decisions with incomplete data. You write clearly about difficult topics. You coordinate people who do not report to you.

That is not a limitation. That is a leadership profile.

The 2.1% who secure tenure-track positions are not the winners. They are just one path. The 53.2% who move to industry are not refugees. They are applying the same skills in a different context.

Often a more sustainable one.
Leaving academia is not giving up on science.

It is applying science differently.
I wrote about this in detailed. Article below.

What skill did you undervalue most when you left academia?

#LifeSciences #PhDCareers #AcademiaToIndustry #CareerTransition #ScienceCareers

Navigating AI Literacy: STEM Students’ Perceptions of Generative AI (The University of Queensland Australia):

https://lnkd.in/dA6STq9T

Glimpse: The need for AI literacy that goes beyond technical proficiency to incorporate ethical and professional competencies is growing as generative AI becomes more and more integrated into STEM education. Through the viewpoint of UNESCO's Digital Literacy Global Framework, this mixed-methods study investigates how STEM students see and apply generative AI, evaluating compliance with industry standards in an AI-driven workplace. Data from surveys and interviews with engineering and IT students (N = 22) reveals that although students acknowledge the productivity advantages of generative AI and exhibit developing critical thinking and adaptability skills, there are still significant gaps in ethical awareness and digital citizenship. In order to better prepare students for professional practice, the results highlight the need for more systematic integration of AI literacy into STEM curriculum, integrating technical skills with ethical reasoning and responsible technology use.

---
Free articles and analyses on soft counter-extremism, against online hate, and on the theory of mis-/disinformation (usually third-party content). Two-week reviews available via the following three websites:
• counter-terrorism.org
• preventhate.org
• strategism.org

The most recent LinkedIn posts, with summaries, on the above subjects can be accessed via:
• https://lnkd.in/eBarZAew

#policyinstitutenet #preventradicalization #preventextremism 
#counterextremism #preventhate #disinformation #misinformation

petit amusement avec l'IA ce matin en analysant les projections annuelles du Niemanlab sur le journalisme avec cette infographie générée par chatgpt. 
Mon but était de voir en quoi les prédictions pouvaient entrer en adéquation avec mon projet sur l'Hyperinvestigation.
La présentation apparaît sous formes de jeu de fiches ou de cartes avec comme d'habitude l'expertise des interviewés sur des axes spécifiques.
Je retiens des points essentiels qui se confirment : la qualité des données et des métadonnées va devoir se renforcer, les opérations de sécurisation des données également notamment pour faire face aux arnaques et aux fasses informations ce qui va obliger à "protocoler" le processus régulier de vérification, et bien entendu la valeur ajoutée va de plus en plus se déplacer vers les investigations plus ou moins complexes. On notera également la mention d'une transparence collaborative ou "crowdsourced accountability".
Le besoin de démonstration et des logiques OSINT va se poursuivre.



Les prédictions 2026 : https://lnkd.in/d2HyZHam

L'analyse de meta-media des prédictions : https://lnkd.in/d7xYHW4R

Important pour toute la communauté médico scientifique
CNP EDN

Cartes et colonisation : un atlas des découvertes du monde (en vidéo)

Le magnifique atlas d’Edward Quin, datant des années 1830 et récemment animé en GIF, illustre l’étendue des connaissances du « Vieux Monde » à travers différentes périodes de l’histoire.

Pour les gamers, cela correspond au "Fog of War" :)

Video Source: https://buff.ly/33NyLDm
Text Source: https://lnkd.in/dT6Qbicc

PhD Students - Here is an example of a good introduction

A good introduction should have the following 6 parts.

𝟏. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐞 𝐲𝐨𝐮𝐫 𝐭𝐨𝐩𝐢𝐜

Start your introduction section by introducing the broader topic of the paper. Then slowly go into the details that why this topic is important. You need to bring some interesting facts and stats here to convince the reader that this paper is worth reading.

𝟐. 𝐃𝐞𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐡𝐞 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝

After introducing the topic, now you need to briefly report what work has already been done on this topic. You can mention the most related 4-6 papers that covered this topic. These papers should not be discussed in as much detail as you discuss them in the related work section. The point here is to move the reader towards the gap statement i.e., what is missing in the existing literature.

𝟑. 𝐄𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡 𝐲𝐨𝐮𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐫𝐨𝐛𝐥𝐞𝐦

After discussing the existing work, you should clearly state what is the crisp problem being addressed in this paper. You have to make sure that the research problem is directly connected to the background section reported in the previous part.

𝟒. 𝐂𝐥𝐞𝐚𝐫𝐥𝐲 𝐬𝐭𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬

Once the overall research problem is established, now you need to go into a bit more specifics. This you will do via presenting your objectives. Now objectives can be specified in two ways - a thesis statement or research questions. You can present this part in bold or italics so that it can be easily focused by the reader.

𝟓. 𝐁𝐫𝐢𝐞𝐟𝐥𝐲 𝐫𝐞𝐩𝐨𝐫𝐭 𝐲𝐨𝐮𝐫 𝐦𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐲

Now the reader knows what exactly has been done in this research. So, here you tell the reader how this research has been carried out. You don't need to go full scale but in a shorter form, report what methodology has been used to conduct this research.

𝟔. 𝐏𝐫𝐞𝐬𝐞𝐧𝐭 𝐭𝐡𝐞 𝐨𝐮𝐭𝐥𝐢𝐧𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐩𝐚𝐩𝐞𝐫

In this final part, you should tell the reader what they should expect in the rest of the paper. This means how the rest of the paper has been structured i.e., what are the different sections and what is in each section. Some researchers also present contributions before the outline of the paper.

𝑆𝑜𝑚𝑒 𝑔𝑒𝑛𝑒𝑟𝑎𝑙 𝑡𝑖𝑝𝑠

1) Use solid references to support your motivation.
2) Do not make big claims that your results can't support.
3) Avoid complexity, explain in simple terms.
4) Keep its flow like a story. Avoid abrupt jumps.
5) Avoid typos at any cost in the introduction section.

PS: There are many styles for writing introduction section, which varies across domains. This is just one of them.

Anything you'd like to add?

#phd #research | 22 comments on LinkedIn