Information Analyst (KM, CoPs) passionate about DigComp, AI and digital learning.
Saint-Hubert - Belgium
Joined January 2010
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michel verstrepen retweeted
I am building an interactive 3D book with Opus 5.5 on GCSE Physics Electricity. Here’s a glimpse of its lesson on mains and the plug.
michel verstrepen retweeted
L’adoption de l’intelligence artificielle s’accélère, mais sa maîtrise exige des compétences, des méthodes et du temps. Les entreprises et organisations sont incitées à déployer en toute urgence des outils d’IA toujours plus puissants avant d’avoir préparé les salariés à les utiliser efficacement. La priorité n’est aujourd’hui ni de ralentir artificiellement l’adoption de l’IA (régulations) ni d’exiger que tous les salariés sachent développer des agents (une hérésie). Il faut distinguer la vitesse de diffusion des nouveaux outils de la capacité réelle à en tirer profit. La sensibilisation, la formation et l’accompagnement sont des conditions de cette appropriation.
#GenAI #TransfoNum
> fredcavazza.net/2026/11/01/d…
En synthèse :
1️⃣ L’adoption de l’IA s’accélère, mais les gains de productivité restent incertains. Les bénéfices varient selon les usages, les entreprises et leur capacité à transformer les processus de travail.
2️⃣ L’IA ne supprime pas le travail, elle en déplace une partie. La vérification des contenus et la supervision des agents mobilisent du temps, multiplient les arbitrages et augmentent la charge cognitive.
3️⃣ L’IA risque d’accentuer la fracture numérique entre les salariés. Ceux qui maîtrisent les outils et les méthodes progressent, tandis que les autres peinent à suivre, faute de compétences et d’accompagnement.
4️⃣ La pression concurrentielle et médiatique pousse les entreprises à adopter l’IA dans la précipitation. Cette course à la nouveauté entretient des attentes irréalistes et risque d’alimenter la défiance des salariés.
5️⃣ L’acculturation, la formation et l’accompagnement sont les conditions d’une adoption durable. L’enjeu n’est pas de déployer toujours plus d’agents, mais de développer les compétences nécessaires pour en tirer des bénéfices réels.
michel verstrepen retweeted
GOOGLE 🔥: Gemini Notebook may add a new "Comic" artifact type, letting users generate AI comics from their sources.
> "Add a high-level outline, or guide the characters, tone, and focus: Create a lighthearted comic explaining key concepts for beginners."
Education will never be the same 👀
h/t @thomas_gmry
michel verstrepen retweeted
A ‘hello world’ milestone for Project Suncatcher 🚀
After launching our prototype satellite a few weeks ago, we’ve now successfully sent a command up to orbit, booted up the TPU, ran the prompt, and received our first complete response back on earth - a haiku!
michel verstrepen retweeted
Whether you're tackling complex projects with Gemini 4 Argon, connecting your favorite apps to Gemini, or creating a custom skill for repetitive prompts, our latest Gemini Drops put more power and personalization at your fingertips. Here’s what’s new 🧵
🤖 Made with AI
Il trouve probablement 'assez terrible' que nous gardions de l'argent sur nos comptes en banque plutôt que de le consacrer aux datacenters ;-)
Sam Altman juge « assez terrible » que votre PC garde de la DRAM qui pourrait être utilisé dans les datacenters. OpenAI en réserve des centaines de milliers de plaques par mois. l.frandroid.com/v0j
michel verstrepen retweeted
🚨 Gemini 4 Flash, codenamed "Hydrogen", is next up from Google
Carbon just took the top spot, and the next Gemini 4 model is already in the works:
• Hydrogen is reportedly the Gemini 4 Flash tier model
• It's expected to be Google's next Gemini 4 release after Carbon
• Early testers say Gemini 4 Flash is really fast, around 300 tokens per second
• Don't expect it right away, Carbon early access is still ongoing and Hydrogen might take a while
If Flash lands anywhere near Argon at a Flash price, Google's run this month gets even crazier.
Would you switch your daily driver to a fast, cheap Gemini 4 Flash?
ALT Gemini 4 Flash leak card: the Gemini sparkle logo with GEMINI 4 FLASH and GOOGLE below it
michel verstrepen retweeted
An airliner is many hidden systems working as one machine. I made a web app that x-rays one from gate to landing to show its fuel, hydraulics, electrics, engines and cabin air.
Built with Opus 5.5 using Blender + Three.js. Explore it live ↓
michel verstrepen retweeted
Sharing early evals on Gemini 4 Carbon. Strongest model that we've seen so far for long-form research and answer quality, with a new SoTA on the Wide-And-Deep-Research (WANDR) benchmark. Coming soon to all Perplexity Pro and Max users inside Computer, once we have sufficient token capacity. Congrats @GoogleDeepMind!
michel verstrepen retweeted
¡Lleva tus investigaciones de Notebook directamente a Documentos de Google! 📝✨
Con la integración de Workspace, ahora puedes cargar y referenciar tus notebooks como fuentes de contexto al redactar un documento.
💡 Combina notas de investigación con tus correos, archivos y chats.
✍️ Personaliza tu proceso de escritura directamente en tu borrador.
⏱️ Ahorra tiempo organizando información en un solo lugar.
Empieza a conectar tus ideas aquí: 🔗 docs.new
michel verstrepen retweeted
Now available! Build with the agentic capabilities of Antigravity in Android Studio.
michel verstrepen retweeted
Preparing data for agents shouldn't require complex migrations or expensive variable egress fees.
Gabe Weiss explains how three data updates to address these challenges:
1. Knowledge Catalog
2. Borderless Lakehouse
3. Smart Storage
michel verstrepen retweeted
I just packed my whole 3D workflow into one Claude skill.
i gave opus 5.5 one reference picture and said: build me a full teardown of this, every part in code.
the build:
> the picture set the look, every shell, gear and hose is three.js code
> opus matched its render to the picture side by side for 3 rounds before any video
> 260 tiny pistons, hoses, screws and wires sit under the big gears
> my first version just hovered, so now something comes apart every 2-3 seconds
> pull a leg and its servo bar flips to DETACHED
i built 7 of these in 2 days. the sims are live on my playground.
the skill, the playground and all 9 prompts 👇
michel verstrepen retweeted
Why do younger teachers often work in the most challenging classrooms?
For example, teachers aged under 30 are much more likely to report that over 10% of their students have disruptive behaviour.
Read more:
bit.ly/46UFRCS
michel verstrepen retweeted
Introducing Brush: Our first vision-language model for design. 🖌️
Brush sees your design’s layout, layers and vibe the way you do, and edits alongside you. Fix one line of text, restyle a whole deck or build from a blank page.
See what Brush can do 👇
michel verstrepen retweeted
We built @Gemini_Notebook to help you understand anything, and we designed the Expert Intelligence program to make it easy to work with trustworthy knowledge. Now you can add hundreds of free textbooks to any notebook right from the source panel. blog.google/innovation-and-a…
michel verstrepen retweeted
You can now create and share your avatar in Gemini to star in images and videos with friends.
Share your personal avatars, tag each other in prompts, and maintain character and voice consistency. Plus, you're in control and can add or remove anyone's access whenever you want.
🤖 Made with AI
michel verstrepen retweeted
The Unity plugin is officially live in the Plugin marketplace in Antigravity 🤝
Now you can connect Unity to @antigravity in a single click to build, simulate, and manage 3D workflows without leaving Antigravity.
We know how important it is to connect the tools you already rely on, and this brings agentic workflows straight into your build pipeline.
🔗 Learn more: on.unity.com/Antigravity_Blo…
michel verstrepen retweeted
New Google DeepMind paper says AI is already changing the economy, just not in the way people look for.
Its changing through leaner startups, flatter org charts and slower hiring for some entry-level jobs, but not through mass job losses.
The paper argues that big economic change from AI depends on agents learning to coordinate, not on each model getting smarter.
AI models already match experts on many solo tasks, yet jobs and productivity numbers have barely moved. Most benchmarks test 1 model alone, but firms compete as teams.
They built an economic model that tracks 2 abilities separately: competence on single tasks and coordination between agents. More competence moves wages gradually, but coordination past a tipping point lets a few large AI firms suddenly take over big, standardized markets.
In a quiz of 100 people, pairs matched to cover each other's weak spots beat random pairs by 32%. AI copies share the same weak spots, so a model that beats every person alone can still lose to a well-matched human team.
I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how AGI will change the economy.
How do capability improvements transform the economy, and when? In this project, we define thresholds of economic capabilities, e.g., minimal AGI, based on how they transform the economy. We then track how the economy–market structure, employment, and wages–changes during the transition across capability regimes.
We have seen exponential increases in what AI agents can do but the broader economy seems almost remarkably unchanged. Part of the reason is that the solo AI agent is the wrong economic object; economic transformation is an equilibrium outcome where organizations compete. Looking at how intelligence functions within organizations, transformation will depend on when two key capability thresholds are crossed: competence (gains on individual skills, e.g., coding, math) and coordination (gains on ability of agents to cooperate and work together).
We show that what economic transformation looks like depends on whether AI becomes supercompetent, supercooperative, or both—the regime of artificial superintelligence (ASI). Tracking this transition shows why the real visible transformation may come from improvements in coordination—a capability most benchmarks don’t yet track. Past a certain threshold, AI capabilities can break the Coasian ceiling on firm size and lead to an economy that looks drastically different than the one we see today.
Two main takeaways:
1. To understand the path of transformation, we should be tracking agentic coordination more closely.
2. The impact of AI will likely show up in wages before market structure or employment.
We are really excited about this paper. Excited to hear people’s thoughts.
Link: institute.deepmind.com/essay…