
I am a #future thinker… here to look at new technologies and their future applications!
Europe
Joined June 2019
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Michele Capobianco retweeted
BREASTMILK
She thought she was studying milk.
What she uncovered was a conversation.
In 2008, evolutionary anthropologist Katie Hinde was working in a primate research lab in California, analyzing breast milk from rhesus macaque mothers. She had hundreds of samples and thousands of data points. Everything looked ordinary—until one pattern refused to go away.
Mothers raising sons produced milk richer in fat and protein.
Mothers raising daughters produced a larger volume with different nutrient balances.
It was consistent. Repeatable. And deeply uncomfortable for the scientific consensus.
Colleagues suggested error. Noise. Statistical coincidence.
But Katie trusted the data.
And the data pointed to a radical idea.
Milk is not just nutrition.
It is information.
For decades, biology treated breast milk as simple fuel. Calories in. Growth out. But if milk were only calories, why would it change depending on the sex of the baby?
Katie kept digging.
Across more than 250 mothers and over 700 sampling events, the story grew more complex. Younger, first-time mothers produced milk with fewer calories but significantly higher levels of cortisol—the stress hormone.
The babies who drank it grew faster.
They were also more alert, more cautious, more anxious.
Milk wasn’t just building bodies.
It was shaping behavior.
Then came the discovery that changed everything.
When a baby nurses, microscopic amounts of saliva flow back into the breast. That saliva carries biological signals about the infant’s immune system. If the baby is getting sick, the mother’s body detects it.
Within hours, the milk changes.
White blood cells surge.
Macrophages multiply.
Targeted antibodies appear.
When the baby recovers, the milk returns to baseline.
This was not coincidence.
It was call and response.
A biological dialogue refined over millions of years. Invisible—until someone thought to listen.
As Katie reviewed existing research, she noticed something unsettling. There were twice as many scientific studies on erectile dysfunction as on breast milk composition.
The first food every human consumes.
The substance that shaped our species.
Largely ignored.
So she did something bold.
She launched a blog with a deliberately provocative name: Mammals Suck Milk.
It exploded. Over a million readers in its first year. Parents. Doctors. Scientists. People asking questions research had skipped.
The discoveries kept coming.
Milk changes by time of day.
Foremilk differs from hindmilk.
Human milk contains over 200 oligosaccharides babies can’t digest—because they exist to feed beneficial gut bacteria.
Every mother’s milk is biologically unique.
In 2017, Katie brought this work to a TED stage. In 2020, it reached a global audience through Netflix’s Babies. Today, at Arizona State University’s Comparative Lactation Lab, she continues reshaping how medicine understands infant development, neonatal care, formula design, and public health.
The implications are staggering.
Milk has been evolving for more than 200 million years—longer than dinosaurs walked the Earth. What we once dismissed as simple nourishment is one of the most sophisticated communication systems biology has ever produced.
Katie Hinde didn’t just study milk.
She revealed that nourishment is intelligence.
A living, responsive system shaping who we become before we ever speak.
All because one scientist refused to accept that half the story was “measurement error.”
Sometimes the biggest revolutions begin by listening to what everyone else ignores.
Michele Capobianco retweeted
📸 Looking back at Day 1 of the EU Hydrogen Innovation Forum 2026!
Here are some impressions from today as we look back moments that brought the Forum to life. ⚡
📅 Tomorrow, we’ll be back from 09:45 with two more sessions focusing on Hydrogen Valleys and synergies.
Michele Capobianco retweeted
🚀 We are kicking off this year’s Forum with the opening session “Clean Hydrogen Innovation as Europe’s Competitive Edge”, setting the stage for an afternoon dedicated to the role of clean hydrogen innovation in strengthening Europe’s competitiveness. @EUH2Week
Michele Capobianco retweeted
🚀 @EUH2Week has started!
📍 Meet us in Hall 11, Booth C30
📅 On Tuesday at 14:00, the EU Hydrogen Innovation Forum kicks off at Hall 7, Innovation Forum Theatre.
🔗 Find the full agenda here:
clean-hydrogen.europa.eu/eur…
Michele Capobianco retweeted
In 2015, many doubted there would ever be a 6G. In 2018, Oulu started the world's first 6G research programme anyway. New 6G Waves looks back at how it's turned out.
Out soon!
#6G #6GFlagship #6GWaves
Michele Capobianco retweeted
For 30 years, Pioneer 10 and 11 drifted slightly off course, unexplained by any known force.
Physicists called it the Pioneer anomaly. Some thought it proved new physics.
In 2012, researchers solved it: the spacecraft's own heat radiating asymmetrically was pushing them off course.
Michele Capobianco retweeted
Updated the Learn Arduino app with more lessons, multi-language support, and a new schematic view!
Also planning to make a separate app for ESP32 lessons.
learn-arduino-red.vercel.app
Michele Capobianco retweeted
The @EHObservatory has published a report on the ❇️ European hydrogen education and research landscape ❇️.
Learn more about training programmes, available education materials and research and innovation activities to extend your hydrogen knowledge!
🔎 observatory.clean-hydrogen.e…
🇪🇺 The 2026 Hydrogen Education and Research Landscape report is nowavailable on the European Hydrogen Observatory website.
Explore the latest trends in hydrogen education, training and research acrossEurope, and discover how skills and innovation are supporting the growth of thehydrogen economy.
Discover more 👉 shorturl.at/fXmoP
#Hydrogen #EnergyTransition
Michele Capobianco retweeted
H2V Knowledge Nugget #10 – Selecting the right technologies with a holistic H2 value chain assessment
By balancing technological readiness, cost reduction potential and efficiency prospects, strategic choices set projects on a strong footing.
👉 h2v.eu/h2v-knowledge-centre
Michele Capobianco retweeted
🚀 See you next week at the @European Hydrogen Week 2026!
📅 Tuesday, 27 October, 14:00
📍 Brussels Expo | Hall 7
Highlights:
🎙️Welcome by @Chatzimarkakis (@H2Europe) and @vbouillon on 27 Oct, 10 am
💡EU Hydrogen Innovation Forum 2026
🤝Booth C30!
clean-hydrogen.europa.eu/eur…
Michele Capobianco retweeted
🚨 Join our upcoming webinar “Safety Matters: Lessons and Guidance for Clean Hydrogen JU Projects” on 21 Oct, 15:00
💡 The session will discuss key findings from recent EHSP reviews & will give insights into the EHPS Safety Planning Guidance Document.
🖋️ tinyurl.com/mryj6k4a
Michele Capobianco retweeted
Advancing subseasonal forecasting with machine learning idp.nature.com/authorize?res…
Michele Capobianco retweeted
Mohammad Khalili defends his doctoral dissertation on handover management and resource allocation in hybrid optical and radio wireless networks on Fri 16 October at 12:00, L10, Linnanmaa campus.
oulu.fi/en/theses/multi-crit…
Michele Capobianco retweeted
René Frédéric Thom was a Field medalist, a differential topologist, and also, great intellectual inspiration of mine.
He was part of a generation of French mathematicians who had a wide range of intellectual interests, from topics in biology to philosophy proper.
By searching on arXiv for material related to Thom, I found this very interesting, 44 pages article titled 'Rene Thom: From Mathematics to Philosophy', a great analysis of the philosophy that emerged out of his mathematical background!
Take a look, I'm sure you'll find great inspiration!
🔗👇👇👇
Michele Capobianco retweeted
Meta published a paper that might end the transformer era.
For the last seven years, every major AI, ChatGPT, Claude, Gemini, has been built on the exact same architecture.
Transformer.
But Transformers have a massive, expensive flaw.
To get smarter, they rely on an endless, brute-force supply of training data. And to remember long contexts, their compute cost explodes.
We thought the only way forward was bigger GPUs and endless data centers.
But, Meta proved us wrong.
They published "Memory Mosaics at scale," and it completely rewrites how AI processes information.
Instead of the standard attention mechanism, Meta built a network of associative memories.
It works less like a calculator running endless sequence equations, and more like a device storing and selectively retrieving specific key-value pairs.
The results are staggering.
A Memory Mosaics model trained on just 1 trillion tokens completely outperformed a traditional Transformer trained on 8 trillion tokens.
Let that sink in.
It beat a model trained on 8x more data.
It also demonstrated superior in-context learning and the ability to solve completely new tasks with a fraction of the examples.
It naturally disentangles complex problems into smaller, independent sub-tasks automatically.
Michele Capobianco retweeted
NYU math professor Tristan Buckmaster says OpenAI’s Tuesday drop of 722 AI-generated math papers wiped out entire research programs:
“This recent dump of papers on Tuesday destroyed the careers of early career mathematicians.”
Michele Capobianco retweeted
The Nobel prize in physics 2026 was awarded to Francis Halzen for a novel way to detect neutrinos, the most weakly interacting elementary particles, and for the measurement of high energy cosmic neutrinos
🧵 1/10
Michele Capobianco retweeted
Titanium is strong, corrosion-resistant, and biocompatible, and is used in aerospace, implants, and some marine hardware. Solid titanium is denser than water and sinks.
In September 2026, RMIT engineers in Australia, with French collaborators, reported a 3D-printed titanium lattice whose hollow struts are filled with foam. The foam traps gas, so the structure stays afloat even after cracking or losing a whole layer. It sank only when crushed.
Michele Capobianco retweeted
We’re glad to welcome Dr. Ignacio M. Llorente, Managing Director at OpenNebula Systems, to the stage in Madrid. His keynote explores how OpenNebula can help organizations build sovereign, interoperable AI Factories and Enterprise Clouds while keeping control of their infrastructure.
#MadridSovereigntyDay
Michele Capobianco retweeted
BREAKING: OpenAI’s solution to Navier–Stokes does not match its Lean verification.
The most important article to read today is not one of OpenAI’s 700 AI-generated math papers.
It is this other paper, making a deep and worrying point:
A Lean-verified proof does not automatically validate the proof written in natural language, nor does it mean that the formal statement captures the intended theorem.
During translation, an AI can change an assumption, weaken a statement, or replace the argument entirely.
It can hallucinate another theorem.
Lean correctly verifies the result.
But the proved result may no longer be what the paper claims.
This is a general problem. Things get spicy when the authors examine OpenAI’s proposed Navier–Stokes solution.
They identify at least two mismatches between the written intermediate results and their Lean counterparts:
One estimate claims that four additional input derivatives suffice. The Lean version requires five: a weaker result.
A pressure-flux estimate is obtained through a different bound, and proved through a different argument.
It is not clear whether these mismatches invalidate the entire proof.
But they raise an important issue.
OpenAI is flooding us with claimed revolutionary breakthroughs. Yet nobody knows whether the proofs are correct or whether they prove what they claim to be proving.
Epistemia at scale.
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Paper in the first reply






































