I’m a CS student, and I’m building a platform to bridge the gap between AI hype and infrastructure reality.

Hey everyone,

I’m currently a CS student and a cybersecurity enthusiast, and I’ve been spending most of my time lately obsessed with one question: What is the actual architecture behind the AI revolution?

Lately, it feels like the tech media landscape is saturated with superficial hype. Everyone talks about the "what," but very few people are looking at the "how" and the "where." We’re seeing massive shifts in semiconductor supply chains, data sovereignty, and AI infrastructure, yet most analysis stays on the surface.

I decided to stop just reading about it and started building FactoPolicy to track these shifts.

Since my background is in cybersecurity and systems, I tend to look at the world through a structural lens. I’m building FactoPolicy to map out the "invisible architecture" behind the news—analyzing how geopolitics, hardware trade, and AI infrastructure actually intersect.

I’m at the early stages, and I’d love to get some feedback from this community:

1. As a developer/analyst, do you find this kind of "deep-dive" content useful, or is there too much noise already?

2. I’m struggling a bit with the balance between "technical depth" and "readability." How would you suggest I present this data to make it more impactful?

I’m currently working on this as a side project between classes and coding. Would love to hear your thoughts or if you’ve faced similar challenges when building a content-driven platform!