zer0c0ld retweeted
Cuperlo: "Quando Meloni parla di violenza politica, sfogli il suo album di famiglia"
Niente da aggiungere
zer0c0ld retweeted
Sia chiaro.
Loro stanno sempre con le forze dell'ordine.
Tranne quando bussano alla loro porta,allora
corrono in parlamento a farsi scudare per farla franca!
zer0c0ld retweeted
Direi che questo signore, un autotrasportatore, con grande eleganza e dignità, seppur con animo triste e sofferente, con poche parole ha detto tutto.
Ascoltatelo per favore, ne ha diritto. Almeno quello. Grazie 😑
Immagini e intervista #inonda #La7
#18ottobre2026
zer0c0ld retweeted
Quando ammazzano Luana D’Orazio perché “per produrre di più” disattivarono tutti i sistemi di sicurezza dell’orditorio, non eravate così scandalizzati come per un paio di vetrine.
Ma capisco quanto sia difficile non trovare disponibile la borsa di Chanel che avete sempre sognato
zer0c0ld retweeted
Thanks to Terry Tao for publishing on his blog an essay I wrote about "golden vs dark ages" scenarios for mathematics and, more broadly, for science!
terrytao.wordpress.com/2026/…
zer0c0ld retweeted
I «giovani» sono in istato di ribellione permanente, perché persistono le cause profonde di essa, senza che ne sia permessa l’analisi, la critica e il superamento (non concettuale e astratto ma storico e reale); gli «anziani» dominano di fatto, ma… «après moi le déluge».
Gramsci
zer0c0ld retweeted
"Ho 28 anni, due lauree e un master e non riesco a trovare nulla che non sia uno stage di 6 mesi al termine del quale non sarò mai assunto, non ho prospettive future" AHAHAHAHAH FATTI LA GAVETTA SINISTRONZO
Vetrina di un negozio: crac NOOOO QUA SI È ANDATI OLTRE NAJA ORA SUBITO
zer0c0ld retweeted
Fields Medalist Timothy Gowers raises a troubling possibility: AI could become so powerful at mathematics that future generations may lose the motivation to study the subject deeply enough to understand its discoveries.
The paradox is striking. Machines might eventually solve problems far beyond human capabilities, while fewer mathematicians possess the expertise needed to interpret their results.
For Gowers, the deeper concern extends beyond the future of mathematical careers. It is about preserving the curiosity, intellectual discipline, and satisfaction of discovery that have sustained mathematics for centuries.
He also envisions a possible transformation of the mathematician’s role, from discovering new theorems to interpreting, connecting, and explaining mathematical knowledge generated by AI.
Reflecting on the approaching social consequences, Gowers offers a vivid analogy:
“We’re still on the beach, we can see the tsunami, but it hasn’t quite reached us yet.”
Importantly, he is not calling for mathematics departments to close or for universities to stop admitting PhD students. His remarks are cautious predictions about a possible future, rather than descriptions of changes that have already taken place.
zer0c0ld retweeted
The A.I.-induced crisis in math is depressing because devalues one the most rarified areas of human thought. The great @terrence_tao suggests that mathematicians may find creative new ways to use A.I. that advances their field. "They will increasingly work in large groups collaborating on once-unimagined projects." I hope he's right, but the obvious question is: will A.I. companies simply then train their algorithms to do the same thing?
nytimes.com/2026/10/16/us/ma…
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Ten research-level math problems, with their solutions hidden from AI.
ProofCouncil solved 9/10. GPT-6 Astra alone solved 7/10. An open-weight entrant solved none.
Thirty mathematicians checked the proofs.
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In January, Jonathan Gorard (@getjonwithit) was confident AI couldn’t produce a machine-checked Lean proof of Maryna Viazovska’s Fields Medal sphere-packing result before late 2027. By March, one existed. He says the real story turned out to be complicated.
Full episode: youtu.be/oQypVVv1u1o
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A Fields Medalist gave AI the text of his mathematics lecture.
He didn't ask it to solve a problem.
But the AI agent unexpectedly suggested a better mathematical definition.
Maxim Kontsevich, winner of the 1998 Fields Medal, says the experience astonished him.
In a new interview, he describes how AI is beginning to contribute not just calculations and proofs, but ideas about how mathematics itself should be formulated.
Watch the full 28-minute CGTN interview:
zer0c0ld retweeted
lo onestamente non sono stupita. Chi si stupisce oggi son quelli che ieri non hanno voluto vedere.
Per anni, intere categorie di cittadini hanno fatto tutto ciò che la democrazia chiede.
Hanno detto che non arrivavano a fine mese, che le scuole cadevano a pezzi, che il caro vita si mangiava gli stipendi.
La risposta è stata un'alzata di spalle e qualche formula di circostanza.
E allora, quando il canale legittimo della contestazione non produce nulla, la gente finisce per accorgersene.
Non si può far finta che la violenza nasca dal nulla. Nasce da un ascolto negato e la storia lo insegna.
Troppo spesso, il potere sente solo ciò che brucia.
Se rifiutate il caos, dovete prima smettere di essere sordi.
Vale per la Francia, per l'Italia e per l'Europa intera.
zer0c0ld retweeted
Figlia 18enne alla manifestazione di oggi a Milano: chiusi, intrappolati in una via. Dietro Polizia, davanti Polizia. Sono stati caricati e manganellati. Ecco questa è la libertà del governo Meloni. Vergogna.
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Researchers tested if AI can do PhD-level physics research.
They released a new benchmark called TheoPhysEval.
They wanted to see if frontier AI models could handle real, novel science.
So they gathered 50 completely unpublished, research-level theoretical physics problems. The exact kind of grueling calculations given to first-year PhD students as starter projects.
They handed them to the latest AI agents.
The AI didn't just solve them. It went completely off script.
The top model solved 49 out of the 50 problems.
But here is where it gets crazy.
On several of the problems, the AI gave an answer that contradicted the human answer key. The researchers initially marked the AI wrong.
The AI pushed back. It insisted its calculations were correct and the human experts had made a mistake.
The researchers double-checked the math.
The AI was right. The experts were wrong.
It didn't just pass the test. It found subtle mathematical errors in the scientists' own original, peer-level solutions.
And it did all of this completely autonomously. For less than $3 a problem.
For decades, we’ve used these kinds of complex, months-long theoretical calculations to train the next generation of human scientists.
Now, an AI does it in the background for the price of a cup of coffee.
The scientific community is already debating the implications. If an agent can accurately perform concrete calculations across theoretical physics research for pennies, these problems are no longer suitable for PhD students.
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Le physicien Gabriele Carcassi (@UMich) : je bloquais souvent sur des aspects mathématiques techniques en topologie et l'IA me sort désormais d'affaire en 2 minutes ; il me fallait supplier des mathématiciens pendant des mois, maintenant un seul interlocuteur IA me suffit !
➡️ @AntoineTilloy : "si on est un chercheur raisonnable, il y a forcément une part d'enthousiasme avec l'IA", mais le progrès des modèles est inquiétant car "notre part de guide se réduit" ; "on n'a plus besoin de beaucoup l'orienter, on peut le laisser faire comme un post-doc".