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QuantumVerse: tra psiche e tech Contro il logorio di bullshit jobs e dunning-krugeriani, questo romanzo post-cyberpunk, umano e solarpunk, post-AI, racconta una storia personale e universale con la metafora del quantum computing. Sempre che la forma-libro abbia ancora senso...

“Ho fatto l’animatore ma ero scarsissimo, non come Pintus o Fiorello. Io sono più antipatico. Se ho mai rischiato le botte? Sì, al Campionato del mondo di tiro al piattello”: così Filippo Giardina ilfattoquotidiano.it/2026/04/11/ho-… via @fattoquotidiano

Technofuture@Aquila 2022 youtu.be/dC_liYGRcbo?si… via @YouTube

AI hardware @ UniCassino 2024 youtu.be/-vOP2GPq9JI?si… via @YouTube

@tagadala7 Venezuela + Iran è attacco ai superBRICS, allo yuan, quindi a Xi e Putin

#tagadala7 Emiliano Fittipaldi sulla liberazione di Alberto Trentini: “Cambio di passo quando Meloni ha riconosciuto Rodríguez" la7.it/tagada/video/t…

I just published: What is Quantum Computing? medium.com/p/what-is-quan…

I just published Flora.ai: Generating Graphic Novels medium.com/p/flora-ai-gen…

I just published Photonic NPU coprocessors enlighten the GPU AI Energy Crisis medium.com/p/photonic-npu…

greenstart.it/lera-del-niobi… Il niobio nelle auto e nelle batterie

Using AI to "draw" graphic novels - The Case for Gutenberg COLOR linkedin.com/posts/leosorge…

gofundme.com/f/donate-to-he… Ray Holt, designer of the first microprocessor, needs our help.

linkedin.com/posts/leosorge… Francesca Ferlaino, Anna Grassellino, and Maria (Marilena) Longobardi are the only Italian scientists in the Quantum 100 list. None of them works in Italy.

I just published Flora.ai: Generazione di graphic novel medium.com/p/flora-ai-gen…

Check out my latest article: L’Intelligenza Artificiale del futuro linkedin.com/pulse/lintelli… via @LinkedIn

HànYuán-1, pietra miliare della Quantum Hàn Supremacy? linkedin.com/pulse/h%25C3%2… via @LinkedIn

Suncatcher, il progetto di Space Constellation per l’AI di Google medium.com/p/suncatcher-i…

Check out my latest article: Vaire, i chip con il Kers per il near-zero-energy computing linkedin.com/pulse/vaire-i-… via @LinkedIn

$MSFT CEO Satya just made one of the most revealing comments of the entire AI cycle when he said Microsoft has $NVDA GPUs sitting in racks that cannot be turned on because there is not enough energy to feed them. The real constraint is not compute but power & data center space. This is exactly why access to powered data centers has become the new leverage point. If compute is easy to buy but power is hard to get, the leverage moves to whoever controls energy & infrastructure. Every new data center that $MSFT, $GOOGL, $AMZN, $META & $ORCL are trying to build needs hundreds of megawatts of steady power. Getting that energy online now takes years which means the players who locked in power early & built vertically across the stack are the ones with real control. Hyperscaler growth is no longer defined by how many GPUs they can buy but by how quickly they can energize new capacity. Satya’s other point about not wanting to overbuy one generation of GPUs matters just as much. The refresh cycle is shortening as Nvidia releases faster chips every year which means the useful life of a GPU now depends on how quickly it can be deployed into production. When power & space are delayed then that GPU loses value before it ever produces a dollar of compute revenue. Satya just validated why my DCA plan remains overweight in the AI Utility theme. The AI economy will scale at the rate power comes online, not at the rate chips improve. The next phase of AI infrastructure growth will belong to whoever can energize capacity faster than demand expands. Power has become the pricing layer of intelligence: $IREN, $CIFR, $NBIS, $APLD, $WULF, $EOSE, $CRWV

Check out my latest article: Le promesse del reversible computing linkedin.com/pulse/le-prome… via @LinkedIn