Lucio Bragagnolo (@loox) header
Lucio Bragagnolo (@loox) profile picture

Journalist, communicator, content enabler, roleplayer, point guard.

Milan, Italy
Joined June 2007
Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)Photo by Lucio Bragagnolo (@loox)
Lucio Bragagnolo retweeted
A breve si torna in Ucraina. Sto supportando una missione medica umanitaria che prevederà anche sessioni di formazione Stop the bleed per Vigili del Fuoco e civili tra Odessa, Kharkiv e Sloviansk. Chi vuol fare un contributo ai nostri volontari e paramedici può farlo qui jv-rescue.ch/nuovo/
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Le mie condizioni necessarie (non sufficienti) per votare un partito sono due: 1. non deve essere un partito personale; 2. deve essere, senza pelosi distinguo, a favore del supporto con ogni mezzo all'Ucraina (e lo deve essere la sua coalizione). Non avrò molta scelta, temo.
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Lucio Bragagnolo retweeted
Lo sapete che InoSMI, testata russa del gruppo mediatico statale Rossiya Segodnya, specializzata nel selezionare e tradurre contenuti dei media stranieri, ha una pagina dedicata al Fatto Quotidiano (@fattoquotidiano)? inosmi.ru/ilfattoquotidiano_…
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Lo stile di scrittura dell'Intelligenza Artificiale è facilmente riconoscibile. Quando l'essere umano che "scrive" non toglie queste noiosissime caratteristiche SMETTO DI LEGGERE. Mi spiace. Provate meglio la prossima volta.
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Lucio Bragagnolo retweeted
350 kilometers. One kilometer takes me around ten minutes, depending on how badly my feet hurt. Over 350 kilometers, that is roughly 3,500 minutes. Nearly 60 hours alone inside my own head, not counting the moments when I cannot keep moving. People see one foot in front of the other and a heavy pack on my shoulders. But that is not the heaviest thing I carry. I carry the lives of the men I fight beside. I carry the news that comes every morning. Friends lost. Their last moments. russian terrorist attacks across Ukraine. Entire families gone. Sometimes I lie beside the highway, surrounded by traffic so loud that I need a program to isolate my voice for these videos. And in those moments, everything catches up with me. I think about the people we have lost. I scroll through photographs of friends I will never see again. I remember the last time we said goodbye, without knowing it would be the last. I am tired of war. Sometimes I am tired of making these videos. I am tired of asking for help. But I know what happens if I stop. The equipment that keeps my soldiers alive does not simply appear. The equipment that holds our trenches, protects our positions and gives the next man a chance to come home has to be fought for too. Everything out here is consumable. It is damaged, destroyed and lost at a rate that is almost impossible to keep up with. Hundreds of people depend on me to keep showing up, even when I am falling apart. Every dollar we have raised has already been spent helping them, and the need has not stopped. Winter is coming faster than any of us want to imagine. We need to build and equip these positions before it arrives. So I am asking you to help me keep showing up. Please share this fundraiser. paypal.com/donate?campaign_i… My boys need you. #Support93 #SupportUkraine
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Lucio Bragagnolo retweeted
Regarding the claim that OpenAI has solved Navier–Stokes: this statement puts things back into context. cims.nyu.edu/~tristanb/state…
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My favorite @tim_cook moment: After I published my story on life after cancer in 2015, he wanted to talk to me about it and said Apple would continue doing as much as they could with Health and the Apple Watch. Thanks for the work, Tim. macstories.net/stories/life-…
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Google Deepmind argues that LLMs can never make real scientific discoveries. They published a paper breaking down Albert Einstein’s private view of scientific discovery. In a famous letter to his friend Maurice Solovine, Einstein drew a diagram of how science actually happens. It is a cyclical loop. First, you experience raw sensory data. Then, through a mysterious, non-logical act of intuition, you make an intuitive "jump" to abstract axioms. Finally, you use strict logical deduction to derive consequences from those axioms. Generative AI has completely mastered two-thirds of this loop. • Induction: Statistical pattern matching across billions of tokens. • Deduction: Formal proof generation, like AlphaProof solving complex math Olympiads. AI can crunch data and it can prove theorems. But it cannot make the jump. The paper argues that AI completely lacks Abduction, the generation of novel explanatory hypotheses when observational data is scarce. The prevailing tech myth says that "creativity is just data compression." That if you feed an LLM enough text, scientific breakthroughs will naturally pop out. Einstein’s formulation of General Relativity proves that is a delusion. When Einstein formulated relativity, the observational data didn't demand a new physics framework; classical mechanics was still massively successful. The breakthrough required a conceptual rupture. An intuitive leap from physical reality to a brand-new set of foundational axioms. An LLM can execute the math once the axioms are given. But it is structurally incapable of formulating those premises on its own. It can interpolate inside existing human thought, but it cannot transcend it. The translation of physical reality into formal axioms remains the absolute, hard bottleneck of artificial scientific invention. We can build models with trillions of parameters. We can scale compute into the stratosphere. We can make the calculator infinitely fast. But until we solve grounding, the machine can process all the data in the universe. It still can't make the jump.
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I was told not to say that I am tired. Not to show weakness. But courage and strength are not about never being afraid. They are not about never being exhausted. They are about continuing anyway. It is 32 degrees. I am walking from Kyiv to Kramatorsk without an entourage, without a team around me, alone in a country at war. But I have more motivation than most people will ever understand. Hundreds and hundreds of men are depending on me. Men waiting for me to come back. Men still in positions, still under fire, still holding the line while I walk to raise money to keep them alive. In the few days I have been gone, we have already lost multiple positions. We need to rebuild. We need equipment. We need protection. We need the ability to keep fighting and keep our soldiers alive. This is not just a walk. This is me doing everything I can with the voice I have, for the men who cannot leave, cannot rest, and cannot ask the world for help themselves. I need your help. Donate if you can. paypal.com/donate?campaign_i… Share if you cannot. Help us rebuild. Help us hold the line. Help me bring my soldiers home alive.
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Lucio Bragagnolo retweeted
Un pilota di un aereo Cessna ha commemorato il 250º anniversario dell'America sopra l'Ohio venerdì, con un messaggio nel cielo in vista del fine settimana festivo. Che spettacolo.
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Lucio Bragagnolo retweeted
Spero che Walter Veltroni intervisti Emma
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iCloud Free Storage (15 years later) ☁️
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Lucio Bragagnolo retweeted
Emacs does not support Perl-style lookahead/lookbehind expressions.
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It's Charlie's birthday! Missing him!
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Lucio Bragagnolo retweeted
The math on this project should mass-humble every AI lab on the planet. 1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output. The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice. Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet. And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.” This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one. We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that. The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
🚨: Scientists mapped 1 mm³ of a human brain ─ less than a grain of rice ─ and a microscopic cosmos appeared.
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Lucio Bragagnolo retweeted
SOS Inverno Ucraina: superati i 110.000 euro in meno di due giorni. Il nuovo obiettivo sale a 250.000 L’obiettivo iniziale di 100.000 euro, che ci eravamo dati con la raccolta fondi SOS Inverno Ucraina, è stato raggiunto e superato in meno di due giorni, come conferma il dato complessivo ormai superiore ai 110.000 euro (19.025 euro donati tramite bonifico da sommare agli oltre 92.000 euro raccolti sulla piattaforma WhyDonate), grazie alla commuovente generosità dimostrata da più di 1.700 donatori in tutta Italia. Alla luce di questo incredibile risultato, e visto che le donazioni non accennano a fermarsi, possiamo porci nuovi obiettivi e ampliare la portata di quella che è ormai diventata una straordinaria maratona di solidarietà. Per questo il target della raccolta è ora di 250.000 euro. Una sfida per tutti noi, ma anche una scelta chiara, che nasce dalla volontà di rafforzare l’impatto concreto degli aiuti in una fase particolarmente critica per l’Ucraina. Questo nuovo obiettivo permetterà di allargare la platea delle persone che potranno essere aiutate e di programmare l’acquisto di impianti di grandi dimensioni, in grado di alimentare strutture e servizi essenziali. La selezione delle attrezzature da acquistare avverrà in accordo con le autorità ucraine, sulla base delle necessità più urgenti e delle aree maggiormente colpite. Gli attacchi russi continuano infatti a prendere di mira le infrastrutture energetiche del Paese, lasciando milioni di persone senza luce e riscaldamento nel pieno dell’inverno. In questo contesto, la risposta arrivata dalla società civile dimostra come la solidarietà possa tradursi in aiuti concreti, mirati e immediatamente operativi. La raccolta prosegue. Ogni donazione contribuisce a portare energia, sicurezza e resilienza a chi sta affrontando l’inverno sotto i bombardamenti. Dona ora 👇🏻 🔹 Pagina ufficiale della Raccolta Fondi “SOS Inverno Ucraina” su Whydonate (link nei commenti) 🔹 Bonifico bancario per importi più elevati: UCRAINA – ITALIA LILEA APS IBAN: IT11X0103002818000000677579 Causale: “SOS Inverno Ucraina” Le donazioni sono fiscalmente detraibili. Contatti: 📧 [email protected] 📞 +39 389 119 9992 whydonate.com/it/fundraising…
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Lucio Bragagnolo retweeted
Toni Capuozzo ancora una volta diffonde fake non rendendosi neanche conto che il sito che ha usato come fonte è un clone di quello ufficiale del Nabu, l’ufficio nazionale anticorruzione ucraino.
Una nuova storia di corruzione sulla fornitura di armamenti all'Ucraina coinvolge anche nomi importanti della Difesa francese.
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The reason why RAM has become four times more expensive is that a huge amount of RAM that has not yet been produced was purchased with non-existent money to be installed in GPUs that also have not yet been produced, in order to place them in data centers that have not yet been built, powered by infrastructure that may never appear, to satisfy demand that does not actually exist and to obtain profit that is mathematically impossible.
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