0.5 ExaFLOPS: What Deutsche Telekom's Setup Really Means for AI Training

0.5 ExaFLOPS sounds impressive – but the precision behind the number determines whether it means AI autonomy in months …

AWS vs. Hetzner in 60 Seconds: Compute Is Rarely the Problem

A quick cost comparison between AWS and Hetzner – for compute, Kubernetes, and especially traffic/egress.

n8n License Risk: Why 'Open Source' Doesn't Mean 'Free for Everything'

Many teams treat n8n like open source – but the Sustainable Use License has clear limits, especially when it comes to …

The Browser as a Secure Compute Sandbox for IoT Devices

How the browser becomes an AI extension for IoT devices via WebGPU – no backend needed, no sensitive data in the cloud.

Tokens vs. Embeddings: Two Completely Different Things

Tokens count text, embeddings represent meaning – why the two are often confused and what makes the crucial difference.

🔐 AI Security: When 5% Errors Suddenly Become 40% Garbage

What happens when AI builds on its own flawed output – and why prompt injection makes the problem even worse.

Digital Sovereignty: What Happens When Someone Pulls the Plug?

Digital dependency is an operational risk – why sovereignty doesn't mean moving everything out of the US, but staying …

K3s vs. K8s: The Uncomfortable Truth (Without the Hype)

K3s IS Kubernetes – not light, not for beginners. Why the K8s hype often has more to do with incentive structures than …