Blog
Technical perspectives on AI in business settings, with a focus on data control, data protection, local processing, integration, and secure operation.
Open Weights Don’t Automatically Mean Open Source
Why published model weights do not yet tell us how open an AI model really is
With open-weight models, the trained weights are accessible. Code, training data and the development process can still be disclosed to very different degrees.
Putting AI Benchmarks in Context: What They Show - and What They Don’t
Why High Benchmark Scores Do Not Automatically Mean a Model Is Better Suited to a Specific Application
When several models cluster near the upper ceiling of a benchmark, the test can lose discriminative power.
Partnership with JADE IT
Introducing AI Properly in Companies
The Tokenman Cometh
Why unlimited AI usage is shifting toward token-based billing, and why locally operated AI is becoming more important for companies
When AI is no longer billed at a flat rate, the cost factor often sits in the background: the more context systems process, the more the budget gets vacuumed up.