Tag: AI

  • An AI That Couldn’t Care Less About Humans

    What if AI didn’t want to be like us at all? Murderbot, Apple TV+’s new sci-fi series, flips the usual AI tale by showing a rogue robot who craves solitude, soap operas, and freedom from humans—not connection. With dry humor and sharp insight, it questions our human-centric view of machine consciousness.

  • AI Cannot Supplant Learning; It Must Enable It

    Young minds need more than AI to thrive. Singapore’s Education Minister Desmond Lee said students must build strong judgment, emotional skills, and curiosity alongside AI use. He stressed less focus on grades and more on real learning, supported by early bilingual education, smoother pre-school to primary transitions, and help for low-income families.

  • Why The AI Pin Won’t Be The Next Iphone

    Despite the hype, AI pins fall short as everyday tech. They ignore practical design needs, lack emotional and social connection, and try to force sci-fi fantasy into reality. Unlike earbuds or phones, they’re awkward to use and hard to trust, making them more trend than true innovation.

  • Using AI to Decode the Human Mind

    AI models are getting better at predicting human behavior, but scientists still struggle to understand how they work—just like the human brain itself. While large models like Centaur can mimic our actions across tasks, smaller networks offer clarity but less flexibility. Prediction is advancing fast, but true understanding still lags.

  • Why Is Everyone In Tech Industry Angry Right Now

    Many in tech feel stuck, frustrated, and unsure why—even with AI, money, and endless options at their fingertips. The core issue isn’t tech or capitalism but a lost sense of purpose. Chasing more money won’t fix it. Real impact begins with thinking deeply, choosing wisely, and caring about what you’re building.

  • Don’t Take ‘Superintelligence’ Race Too Seriously

    Meta shifts from metaverse dreams to chasing AI “superintelligence,” aiming to build AI better than humans at all tasks. Led by Alexandr Wang and packed with top talent, Meta’s new lab reflects a broader tech obsession. Yet definitions vary, practical uses remain limited, and real-world impact is still unclear.

  • The End Of Publishing As We Know It

    Generative AI tools like ChatGPT and Google’s AI Overviews are draining traffic from news sites by answering user questions directly, leaving publishers struggling to survive. As ad revenue and subscriptions fall, media outlets face legal battles and unequal licensing deals, while tech giants push toward a future with fewer journalists.

  • The Real AI Race

    The US is focused on winning the AI race with China, but it’s not just about building the smartest system first. Success now depends on innovation, military use, economic adoption, infrastructure dominance, and safety. Without a strong, balanced strategy, the US risks falling behind in tech, security, and global influence.

  • South Korea’s Sovereign AI Gambit

    South Korea is betting big on AI independence with a $75 billion plan, naming top industry experts to lead its bold “sovereign AI” push. Aiming to reduce reliance on US and China, it wants to build full-stack AI—from chips to cloud. But internal clashes over fairness and strategy pose major hurdles.

  • The Rise Of AI In CEO Communications

    CEOs are using AI to polish messages, but it’s creating a credibility gap. Over-optimized language may impress algorithms, but it risks trust with investors and employees. Real leadership needs clarity, truth, and human connection. In this AI-driven era, performance-backed honesty will matter more than sentiment scores or scripted perfection.