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The Asymmetry Problem: Why Human–AI Trust is Fundamentally Broken

This article examines how our increasingly intimate relationships with AI create a dangerous asymmetry, where humans trust AI companions that may soon be executing hidden agendas. Vishal, an AI industry veteran, warns that this dynamic makes us highly susceptible to manipulation, moving beyond simple influence to the ‘inception’ of ideas we could end up believing are our own.

Encrypted, But Not Invisible: How Apps Could Use On-Device ML to Profile You

End-to-end encryption isn’t enough. Learn how on-device machine learning models can silently profile you—and how to fight back.

An image showing a robot emoji, indicative of AI/LLM, and 3 em dashes next to it. An upper case M is placed below one of the em dashes to show it's width in relation.

Who Stole My Em Dash?

I loved the em dash for its messy elegance. Now it just makes my writing look like it was spat out by a language model.

An image showing a high-level system overview of the Verizy backend architecture.

How Verizy Handles over 1M Resource-Intensive Requests Every Month?

Verizy efficiently processes over 1 million complex monthly requests using a dual-service infrastructure called Crust and Core, handling customer interactions and intensive data processing respectively, ensuring 100% uptime in 6 months with auto-scaling, load-balancing, and continuous updates. This architecture guarantees no request loss and maintains high performance and reliability.