Blurs

Google and Meta don’t “magically” know your phone and laptop are yours.  They build that link by stitching together multiple overlapping signals until the probability becomes very high. Here we’ll break down how each company typically does it in practice. 1) The core idea: identity graphs Both Google and Meta Platforms build what’s called an identity graph. Instead of: “This is user X” They store: • devices • browsers • app sessions • login events • IP history • behavioural patterns ..and connect them with confidence scores like: “These devices likely belong to the same person or household” 2) The strongest link: login accounts Google If you’re signed into: • Gmail • YouTube • Chrome • Android …you’ve essentially provided a hard identity anchor. Once logged in: • laptop browser ID • phone app ID • tablet session ..all get tied to the same Google Account automatically. Even if you switch devices, the login connects them instantly. Meta Same idea with: • Facebook • Instagram • WhatsA...

AI-Driven Layoffs in Big Tech: What’s Really Happening in 2026? The tech industry is undergoing one of its most dramatic transformations in decades.  Across giants like Microsoft, Amazon, and Meta, a clear pattern has emerged: large-scale layoffs paired with massive investments in artificial intelligence (AI). This isn’t just another round of cost-cutting—it’s a structural shift that’s redefining how tech companies operate, hire, and compete. Why Are Tech Companies Cutting Jobs While Investing in AI? At first glance, layoffs and rising profits don’t seem to go together. But the strategy is deliberate. 1. AI Is Reshaping Workforce Needs Modern AI systems can now handle tasks that once required teams of engineers, analysts, and support staff. From writing code to automating customer service, AI is reducing the need for certain roles—especially repetitive or process-driven ones. 2. Companies Are Reallocating Resources Rather than simply shrinking, companies are redirecting budgets to...