Sebastian De Lima
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Carbon, Not Silicon, Is the Endgame
Intro Silicon has been a heroic material. For seven decades it carried the world’s computing dreams from room-sized ENIAC racks to the pocket computers we carry today. But silicon’s reign is now a story of diminishing returns. Transistors have shrunk to a scale where quantum tunneling, heat, and interconnect loss are the real blockers, not clever circuit tricks. That doesn’t mean computing dies — it means the stack changes. For the next chapter, carbon is not just an alternative; it’s the material logic of a radically different kind of computing.
By Sebastian De Lima23 days ago in Futurism
Programmable Matter & Metamaterials
Intro Matter has always been stubborn. You heat it, bend it, hammer it, melt it — but once it’s shaped, it tends to stay that way. A chair stays a chair. A phone stays a phone. A key stays a key unless you destroy it.
By Sebastian De Limaabout a month ago in Futurism
Heterogeneous Chiplets & Hybrid Bonding: The Modular Revolution Behind the Next Generation of Computing
Intro For decades, the entire semiconductor industry ran on a simple rule: shrink the transistor, shrink the chip, get more performance. Moore’s Law wasn’t just a prediction — it was a culture. Engineers believed that if you could just make everything smaller and put more on a single piece of silicon, the computer would keep getting better, faster, cheaper.
By Sebastian De Limaabout a month ago in Futurism
The Light-Speed AI Revolution: How Photonic Chips Could Make Smart Devices Faster and Cooler
Intro / Lede Imagine your phone running a powerful AI model without draining battery, or a tiny gadget that recognizes voice, images and learns on the fly — all while consuming a fraction of today’s power. That’s the real promise behind photonic AI chips: using light (photons) instead of electrons to do the heavy math. If industry and labs turn promise into products, the way we build and use AI could flip fast.
By Sebastian De Limaabout a month ago in Futurism
