A new analysis warns that the rush to adopt AI for productivity is undermining the very experiences that build deep skills. The risk isn’t just error, but a permanent atrophy of human judgment and empathy. Are we automating ourselves into irrelevance?
LG quietly pushed a Copilot AI shortcut to older TV models, and owners are furious. The unannounced update has ignited a debate about forced adoption and hardware control in the smart home era.
Meta has acquired Manus AI, a startup focused on building simulated environments for AI agents. The deal underscores a growing belief that true AI intelligence requires a rich context to operate within, not just advanced models.
A new forecast outlines the biggest digital dangers on the horizon. The threats range from AI-driven scams to a dangerously centralized internet, and they’re evolving faster than ever.
Shlomo Kramer, CEO of Cato Networks, warns that the AI investment frenzy is a bubble that will unwind. He argues there’s a “dislocation” between sky-high valuations and the technology’s current, modest real-world impact.
Meta has made one of its biggest AI acquisitions yet, buying the startup Manus for over $2 billion. The company, which grew out of China’s AI ecosystem, saw rapid revenue growth by building AI agents for tasks like market research and website creation.
Meta is acquiring Manus, a Chinese-founded AI startup that makes general-purpose AI agents. The move is part of Meta’s aggressive push to integrate advanced AI across its consumer and business products.
While AI sucks up all the oxygen, other transformative technologies are quietly moving from labs to reality. From batteries that are also car frames to European laws forcing accessible design, the future is being built right now. These trends have massive implications for energy, security, and how w
For the third year running, VCs are telling TechCrunch that next year is when enterprise AI will finally deliver. Their 2026 predictions focus on consolidation, physical-world AI, and a brutal shakeout for startups that can’t prove real ROI.
AI agents are moving out of labs and into daily workflows, automating complex tasks. This shift demands a new set of skills and a fundamental rethinking of professional roles. The challenge is to adapt or risk being left behind.
