TECHNOLOGY

Tech's Big Leap: AI, Quantum, and More

ChinaSun Oct 12 2025

AI Distillation: Making Models Smaller and Cheaper

  • A new technique called distillation is making AI models more accessible.
  • Uses a large, expensive model to train a smaller, more efficient one.

Modular: A $250 Million Bet on AI Hardware

  • Former Apple executive Chris Lattner leads Modular, a startup focused on AI software for hardware.
  • AI chips are in high demand, making this a potential game-changer.

Quantum Computing: The Next Big Thing?

  • Venture capitalist Alexa von Tobel is investing heavily in quantum computing.
  • She believes it could surpass even artificial general intelligence (AGI).

China’s Juno: Unraveling Physics’ Biggest Mysteries

  • A giant underground detector in China, Juno, is a collaboration of 17 countries.
  • Researchers aim to detect neutrinos and antineutrinos to study their mass.

The Busy Beaver Challenge: A Problem Too Big for Math

  • A tough problem in computer science now has answers too large for standard notation.
  • The challenge involves finding the maximum number of steps a Turing machine can take.

Quasicrystals: The Platypus of Materials

  • New studies are explaining how quasicrystals form orderly, nonrepeating patterns.
  • These materials are as unique as the platypus in the animal kingdom.

STEM Education: Preparing Kids for an Uncertain Future

  • There’s a push to get kids into science, technology, engineering, and math (STEM).
  • The focus is shifting from return on investment to a broader understanding of science and tech.

Meta’s Metaverse Workers: AI for Faster Work

  • Meta is urging its metaverse workers to use AI tools to work more efficiently.
  • This is part of a larger shift inside the company.

questions

    What are the practical applications of this algorithm in real-world scenarios?
    How does the new algorithm compare to existing methods in terms of computational efficiency and accuracy?
    What are the potential limitations and biases of this algorithm in different use cases?

actions