When Facebook’s parent company, Meta, announced it was investing a massive $14.8 billion in a company called Scale AI, the tech world erupted. Critics immediately cried foul, politicians demanded investigations, and headlines screamed about another tech giant trying to monopolize the future.
This topic investigates how the introduction of Google’s AI Mode—a conversational, generative layer within Search—is reshaping how users interact with search engines.
Google made around 100 announcements at the latest I/O, and I picked 9 AI-related ones. They’re not just buzzy, they’re genuinely interesting and worth a look.
Weather forecasting has long been a cornerstone of human innovation, guiding decisions in agriculture, disaster response, and daily life. But as climate change intensifies and weather patterns grow more erratic, the limitations of traditional forecasting methods have become starkly apparent.
You’re not alone if you feel like AI buzzwords are flying faster than you can keep up. One term that’s gaining attention is Agentic AI. But what does it mean?
What if the most important AI release of 2025 isn’t an app dazzling consumers, but an agent quietly reshaping systems beneath the surface? Manus AI, launched by Chinese startup Butterfly Effect in March, is that kind of release. It doesn’t aim for headlines or social media dominance.
Small and medium-sized businesses (SMBs) have faced a challenging battle against large corporations for decades. These giants have the advantage of scale. They can afford larger marketing budgets, more specialized staff, faster logistics, but also deeper research capabilities.
The internet browser—once just a window to the web—has quietly transformed into an active thinking partner. Throughout the day today, I opened my browser and watched as it instantly summarized a complex research paper, predicted my next search query, and even drafted an email response based on my previous communications.
AI-powered personalization is revolutionizing eCommerce, making online shopping more intuitive, engaging, and efficient. By analyzing customer behavior, preferences, and purchasing history, generative AI can create a seamless, tailored experience that benefits both businesses and consumers.
This editorial examines the ethical, legal, and security challenges posed by the underground AI market, arguing that policymakers, cybersecurity experts, and AI developers must act swiftly to curb these emerging threats.
