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XAI’s Colossus supercomputer is set to revolutionize AI technology and significantly enhance Tesla’s capabilities in self-driving, energy reliability, and factory operations through its rapid expansion and innovative partnerships.

Questions to inspire discussion.

AI Supercomputing.
🖥️ Q: What is XAI’s Colossus data center’s current capacity? A: XAI’s Colossus data center is now fully operational for Phase 1 with 300,000 H100 equivalents, powered by 150 MW from the grid and 150 MW in Tesla Megapacks.

I was just thinking about the 1871 book Through the Looking-Glass, and What Alice Found There by mathematician, logician, Anglican deacon, writer, and photographer, the Reverend Charles Lutwidge Dodgson (a.k.a. Lewis Carroll).

Lewis Carroll’s Alice’s Adventures in Wonderland and Through the Looking-Glass continue to influence us today, not just as beloved children’s stories but as enduring works that challenge the boundaries of logic, language, and imagination.

At their heart, both books are filled with logical conundrums, puzzling paradoxes, and playful reasoning, reflecting Charles’ background in math and logic. He employed nonsensical situations and absurd dialogues to explore profound ideas about meaning, identity, time, and even mathematics, all disguised within fantastical storytelling.

A new study proposes that quantum information, encoded in entanglement entropy, directly shapes the fabric of spacetime, offering a fresh path toward unifying gravity and quantum mechanics.

Published in Annals of Physics, the paper presents a reformulation of Einstein’s field equations, arguing that gravity is not just a response to mass and energy, but also to the information structure of quantum fields. This shift, if validated, would mark a fundamental transformation in how physicists understand both gravity and quantum computing.

The study, published by Florian Neukart, of the Leiden Institute of Advanced Computer Science, Leiden University and Chief Product Officer of Terra Quantum, introduces the concept of an “informational stress-energy tensor” derived from quantum entanglement entropy.

Developmental time (or time to maturity) strongly correlates with an animal’s maximum lifespan, with late-maturing individuals often living longer. However, the genetic mechanisms underlying this phenomenon remain largely unknown. This may be because most previously identified longevity genes regulate growth rate rather than developmental time. To address this gap, we genetically manipulated prothoracicotropic hormone (PTTH), the primary regulator of developmental timing in Drosophila, to explore the genetic link between developmental time and longevity. Loss of PTTH delays developmental timing without altering the growth rate. Intriguingly, PTTH mutants exhibit extended lifespan despite their larger body size. This lifespan extension depends on ecdysone signaling, as feeding 20-hydroxyecdysone to PTTH mutants reverses the effect. Mechanistically, loss of PTTH blunts age-dependent chronic inflammation, specifically in fly hepatocytes (oenocytes). Developmental transcriptomics reveal that NF-κB signaling activates during larva-to-adult transition, with PTTH inducing this signaling via ecdysone. Notably, time-restricted and oenocyte-specific silencing of Relish (an NF-κB homolog) at early 3rd instar larval stages significantly prolongs adult lifespan while delaying pupariation. Our study establishes an aging model that uncouples developmental time from growth rate, highlighting NF-κB signaling as a key developmental program in linking developmental time to adult lifespan.