The CEO of ASML said Europe is "quite behind" in the AI race. This is not a politician. This is the man who controls the only machines on earth that can print advanced chips. Every semiconductor fab from TSMC to Samsung needs his approval to exist.
And he did not stop there.
Europe has been having the sovereignty conversation for three years. Build fabs. Reduce dependence. Catch up. It sounds right. He said it is the wrong order entirely.
His reasoning is blunt. Semiconductor manufacturing is only needed if you have people buying the chips. If Europe built a two nanometer fab today, most of those wafers would ship straight to the United States. Because the US buys 80% of the world's advanced chips. Europe buys almost none.
You cannot manufacture your way to relevance. You have to create demand first.
His actual sequence: start with the market. Build AI applications. Then AI products. Then chip design. Then and only then does chip manufacturing make sense.
Europe skipped four steps and went straight to the last one.
The sovereignty debate is loud in Brussels right now because of US export controls on AI models. Politicians are scared. The instinct is to build. He is saying the instinct is wrong.
You do not get sovereignty by building factories.
You get it by having something the world wants to buy.
(Watch the full 11 minutes Interview at @BloombergTV on YouTube)
tensor algebra is not abstract math.
it is the grammar of modern intelligence.
a scalar is one number.
a vector is a line of numbers.
a matrix is a grid of numbers.
a tensor is the general form: numbers arranged across multiple dimensions.
images are tensors.
videos are tensors.
robot sensor streams are tensors.
neural network weights are tensors.
physics simulations are tensors.
deep learning is basically tensor algebra + optimization + compute.
once you understand tensors, AI stops looking like magic.
it becomes structure.
reality → numbers → geometry → transformations → intelligence.
Beaucoup de figures de gauche, aux US comme en Europe, qualifient Musk d'extrême droite. Certains vont jusqu'au mot « nazi ».
J'ai fait l'inverse de l'accusation : lire avant de juger. Deux biographies. Des dizaines d'heures d'interviews et de documentaires. Zéro once de racisme détectée.
Ce que j'ai trouvé, c'est une obsession constante pour la liberté : rachat de Twitter au nom de la liberté d'expression, réintégration des comptes bannis, publication des Twitter Files, ouverture du code de l'algorithme, open-source de Grok, brevets Tesla libérés en 2014, Starlink rallumé pour les Iraniens coupés du net pendant les manifestations et pour l'Ukraine, refus répété des demandes de censure étatiques.
Maintenant, faisons l'expérience de pensée que ses accusateurs ne font jamais. Imaginez que Musk soit réellement evil.
Cet homme possède un réseau de satellites qui couvre la planète, soit une capacité de surveillance quasi totale. Il possède la place publique numérique la plus influente du monde. Il possède la première fortune à 1000 milliards de l'Histoire, depuis l'IPO de SpaceX le 12 juin. Aucun individu n'a jamais concentré autant de leviers.
Un Musk réellement malveillant, avec ça dans les mains, ne tolérerait pas une seconde qu'on le traite de nazi H24 sur sa propre plateforme. Il bannirait. Il surveillerait. Il écraserait. On serait déjà dans 1984.
Or regardez la réalité : les comptes qui l'accusent de nazisme tweetent toujours. Tous les jours. Sans entrave. Sur son réseau. Avec son algorithme. La dystopie totalitaire qu'on lui prête se démontre par l'absence du goulag.
Voilà le retournement. 1984 le contrôle de la parole, la surveillance de masse, la désignation publique des hérétiques ce n'est pas son projet. C'est le fantasme de ceux qui l'accusent. L'accusation décrit toujours l'accusateur.
C'est du Girard à l'état pur : on désigne un bouc émissaire pour ne pas voir le mécanisme qu'on porte soi-même. Celui qui hurle « nazi » rêve souvent, en silence, du pouvoir de bannir, de ficher, de faire taire.
L'homme qui aurait tous les moyens de bâtir 1984 est précisément celui qui laisse ses pires détracteurs parler. Demandez-vous qui, dans cette histoire, rêve vraiment du télécran.
The great lie is that society is divided between rich and poor.
The great truth, as David Friedberg puts it, is makers vs takers.
Makers build, create, and deliver real value: houses, software, art, businesses, and everything that moves civilization forward.
Takers watch, criticize, analyze, and politic. They push the lie that the rich hoard unfairly so the poor must seize it… all while positioning themselves to rule the chaos.
As @friedberg tells his kids: “At the end of the day, if you made something and someone else valued it, you were a maker. That was an amazing achievement. That is a great day.”
Takers thrive on division. Makers drive progress.
Time to choose your side.
If the cause of the Ethiopian famine had been a right-wing regime, it would probably be in every school curriculum alongside Live Aid.
The famine that produced the most-watched concert in history was caused by forced collectivization, forced grain seizures, and a deliberate policy of using hunger as a weapon against civilians. Four decades later, that half of the story still does not appear in most accounts of Live Aid.
Scientists have identified a reversal of the long-standing Flynn effect—the roughly 200-year trend of rising average intelligence (measured via IQ and cognitive tests) across generations.
For the first time in modern recorded history, Generation Z (born roughly 1997–2012) shows lower performance than previous generations in key cognitive domains, including attention, memory, literacy, numeracy, executive function, problem-solving, and general IQ—despite spending more years in formal education than ever before.
Neuroscientist and educator Dr. Jared Cooney Horvath, PhD, MEd, testified before the U.S. Senate Committee on Commerce, Science, and Transportation on January 15, 2026, highlighting this shift. In his written testimony, he stated that cognitive development in children across much of the developed world has stalled or reversed over the past two decades, with declines evident in international assessments (e.g., PISA, TIMSS) and other large-scale data starting around the mid-2000s and accelerating post-2010.
Horvath attributes the primary driver not to reduced schooling, but to the widespread integration of digital screens and educational technology (EdTech) in classrooms. He argues that human brains evolved for deep, focused learning through face-to-face interaction and sustained attention, not fragmented skimming or constant task-switching encouraged by devices.
Key points from his testimony include:
- Teens now spend over half their waking hours on screens, with significant portions in school involving computers or tablets—often leading to off-task behavior and shallower processing.
- Evidence from meta-analyses and national/international studies shows a consistent pattern: higher classroom screen exposure correlates with weaker outcomes in reading, math, science, and higher-order reasoning.
- Digital tools may aid narrow, repetitive skill practice in controlled settings, but in core academic contexts, they tend to reduce depth of understanding, retention, and critical thinking.
Horvath describes this as a "structural mismatch" between human cognition and how digital platforms are designed (to capture and fragment attention), warning that unchecked EdTech adoption risks long-term harm to workforce skills, innovation, and societal reasoning.
[Horvath, J. C. (2026). Written testimony before the U.S. Senate Committee on Commerce, Science, and Transportation. U.S. Senate]
It is incredibly shameful how the ETSC denies all available facts and data and works against the safety of traffic and citizens in 🇪🇺 Europe.
As an ETSC member you should be ashamed because - your letter factually undermines safety instead of promoting it.
Ever wonder what’s happening inside an AI’s brain?
This is a neural network in action,turning raw data into "thoughts" through thousands of layered transformations.
I genuinely don’t understand the hate towards FSD.
Or the “just drive yourself” comments.
I love driving, and track days are pure driving joy!
But a daily commute full of red lights, traffic, trucks everywhere and constantly watching for motorcyclists? That’s not fun, that’s just torture.
FSD takes all that stress away and drives smoother than a limo driver.
How can you be against that?
I’m honestly trying to understand.
L’azienda di AI Midjourney annuncia un nuovo scanner per sostituire le risonanze magnetiche. Più efficiente, più preciso, ok per chi soffre di claustrofobia, poco più di un minuto per fare una scansione full body.
Se il prodotto funzionerà come sembra salverà milioni di vite.
🚨 ETSC keeps demanding more ‘evidence’ on FSD safety while slowing approvals?
Watch this real demo: guy tries activating FSD with his 4-year old in the driver’s seat, system smartly refuses. Eye tracking, weight/height detection, attention monitoring. All working perfectly.
Safety features actually doing their job. Maybe ETSC should focus on real risks instead of protecting legacy EU automakers? 🚗⚡
#TeslaFSD #SafetyFirst #EU #Tesla
Deleting a file looks weightless.
No smoke. No sound.
No visible wound in the universe.
But physics says something stranger: when information is truly erased, the world must pay a small thermodynamic price.
This is Landauer’s principle.
In 1961, Rolf Landauer, working at IBM, asked a question that sounded almost too philosophical for engineering:
What is the physical cost of computation?
The answer was not hidden in the screen. It was hidden in the word erase.
A bit can be 0 or 1. If you reset it to 0, regardless of whether it began as 0 or 1, you have destroyed information about its past state. Two possible histories have been compressed into one final result.
That is not just a logical operation.
It is a physical act.
Landauer’s insight was that logical irreversibility becomes physical irreversibility. If a computation throws away information, the missing distinction does not simply vanish into nothing. The entropy has to go somewhere.
Usually, it goes into the environment as heat.
The famous bound is:
E ≥ kBT ln 2
Here, kB is Boltzmann’s constant, T is temperature, and ln 2 appears because one bit has two possible states.
At room temperature, this energy is incredibly tiny, around 3 × 10⁻²¹ joules per erased bit. Your laptop wastes vastly more energy than this for practical reasons: resistance, imperfect circuits, speed, error control, architecture.
But the principle is not about today’s inefficient machines.
It is about the basement floor of physics.
Landauer’s principle tells us that information is not an abstract ghost. A bit must live somewhere: in a voltage, a magnetic domain, a trapped particle, a quantum state, ink on paper, or neurons in a brain.
To change information, you must change a physical system.
To erase information, you must erase a physical distinction.
This also helped clarify Maxwell’s demon, the imaginary creature that seemed able to beat the second law of thermodynamics by sorting fast and slow molecules.
The demon’s trick depends on information. It measures molecules, remembers results, and uses that knowledge to extract work. But to keep operating, the demon must reset its memory.
That erasure has a cost.
The demon does not defeat thermodynamics.
It becomes part of thermodynamics.
This is why Landauer’s principle is so beautiful. It does not make physics more mystical. It makes information less mystical.
The lesson is not that thoughts create reality or that the universe is magically made of data.
The lesson is more disciplined:
Knowledge needs a body.
Memory needs a medium.
Forgetting leaves a trace.
In ordinary life, deleting something feels like making it disappear.
In physics, disappearance is never so innocent.
Even a lost bit has to go somewhere.
🚨 Dutch Minister Karremans just delivered a masterclass defense in Parliament against the latest Reuters/ETSC narrative.
While critics try to sow doubt with old Tesla marketing stats, the RDW’s independent work speaks for itself:
✅ 1.8+ million km of real-world testing on European roads.
✅ 1,000+ rigorous scenario tests on test tracks.
✅ Own RDW test equipment + data collection, not relying on Tesla’s self published figures.
✅ Extreme weather, complex urban traffic, highways. All independently validated
✅ Nearly 40,000 Dutch Teslas with FSD Supervised have already driven 24 million km with no notable incidents.
The minister made it crystal clear: the RDW did its own thorough research. Safety comes first. Period.
This is what evidence based regulation looks like. The Netherlands continues to lead Europe responsibly while others chase headlines.
Huge respect to Minister @vincentkar for standing firm and shutting down the FUD. 🇳🇱✅
#FSD #Tesla #RDW #Netherlands #AutonomousDriving #EV #TeslaFSD #Innovation
🇨🇳 China’s military goes all-in on FPV drone warfare
Chinese kids with military drones is pure nightmare fuel
Getting tag-teamed by them in Counter-Strike 2 is bad enough
Writers: Monica, Ian
I am 27, French, and I am tired of living on a continent that treats AI, compute, chips, crypto, datacenters, energy and nuclear power as problems to manage instead of strategic assets to build.
I do not want frontier AI to become another nationality-gated privilege. I want powerful AI models to remain generally available to builders, researchers, engineers and founders. But what happened with Anthropic’s Fable/Mythos models proves that this cannot be taken for granted: once frontier AI becomes a national-security asset, access can be restricted by citizenship or nationality.
The problem is that Europe has failed to build its own equivalent. We are not in the frontier AI race at the level of the U.S. or China. We do not have the same hyperscale cloud stack, the same compute capacity, the same capital depth, the same energy strategy, the same chip ecosystem, or the same frontier-model ecosystem. And because AI progress compounds through compute, talent, chips, energy, data and capital, falling behind is not linear. Once the gap is deep enough, you do not catch up at the same pace.
Europe spent decades regulating, moralizing, delaying and underbuilding the foundations of technological power. Cloud was missed. Crypto was treated primarily as a criminal-risk category before Europe built anything globally dominant in it. Datacenters are slowed by permitting, grid and energy constraints. Nuclear power was politically weakened or delayed across much of the continent just when abundant electricity became essential. AI is now being regulated before Europe has even produced a true top-tier frontier lab/model (no, MistralAI isn't a real competitor, for me, even Kyutai did more innovation/progress in the AI space than MistralAI).
Our leaders now talk about "sovereign AI", "AI factories", "gigafactories", and "strategic autonomy", but this language came far too late. You cannot regulate your way into technological sovereignty. You cannot paperwork your way into compute. You cannot build frontier AI without massive power, massive datacenters, massive capital, elite talent, advanced chips and a political culture that actually wants builders to move fast.
Europe still has talent. France still has engineers, mathematicians, scientists and founders. But the system around them is broken. The incentives are wrong. The mindset is wrong. Every mainstream political camp in France and Europe seems to have the same reflex: regulate first, tax first, restrict first, moralize first, build later.
ASML is the exception that proves the rule. It is one of the only truly strategic European chokepoints in the global compute stack. But one Dutch lithography champion cannot carry an entire continent that failed to build the rest of the stack: frontier AI labs, hyperscale cloud, Nvidia-class accelerators, TSMC-class fabs, massive datacenter capacity, cheap abundant energy and deep capital markets.
I did not vote for 20+ years of anti-growth, anti-compute, anti-nuclear, anti-crypto and anti-industrial policy. I was a kid. But my generation is supposed to live with the consequences: less access, less sovereignty, less capital, less compute, less ambition and a future where the most important technologies are built and can only be used somewhere else.
That is the part I cannot accept.
I do not want to spend my adult life asking permission to use technologies my continent was too slow, too afraid or too complacent to build.
I do not want European builders to become tenants in someone else’s technological empire (as it's already the case).
And I do not want "sovereignty" to mean nothing more than regulating foreign systems after failing to create our own like they're doing right now with cloud computing.
Either Europe becomes a builder civilization again, or the next generation of Europeans will inherit a beautifully regulated dependency that slow or even stop us.
For now, Europe still talks like history will wait...
🇵🇭 New footage is coming out from the powerful 7.8-magnitude earthquake that hit the Philippines on June 8.
That's a serious earthquake. They reacted fast!
Writer: Daniyal, Oliver