AI everywhere is AI nowhere
The tech industry's rush to embed AI into every product is creating exhausted users and half-baked features. Real AI success comes from solving specific problems, not sprinkling chatbots everywhere.
AI, machine learning and data.
The tech industry's rush to embed AI into every product is creating exhausted users and half-baked features. Real AI success comes from solving specific problems, not sprinkling chatbots everywhere.
AI feels cheap today because VCs are footing the bill. But that trickle-down model is broken — and the way forward is open source, smarter infra and owning your baseline compute.
My take on the next version of the web given the failures of Web 3.0 and the need for a more organised, user-centric approach.
What if your AI assistant could actually feel what kind of day you're having? Not in some creepy sci-fi way, but in a structured, measurable way that makes it respond like a human would—with actual un...