From open weights to AI that can genuinely be inspected and rebuilt The word “open” is used so broadly in artificial intelligence that it risks losing its meaning. One lab publishes model weights, another releases inference code but not training code, and a third publishes a technical report while withholding the data pipeline. Each offers … Read more
The rapid development of Artificial Intelligence is making something increasingly visible that we often tend to overlook: the digital ecosystem has a very tangible physical foundation. AI models, cloud services and public digital applications run inside buildings filled with processors, storage systems, power supplies, networks, cooling loops and backup power systems. Data centers consume electricity … Read more
Why their value for the IT market lies in reuse, open standards and avoiding vendor lock-in In the IT sector, we know well that a successful prototype is not necessarily a sustainable information system. It may work perfectly in a controlled environment, yet fail when it has to integrate with existing infrastructure, be maintained for … Read more
From WiFi4EU to public connectivity infrastructure that remains open, controllable and sustainable Municipal and community wireless networks are no longer an experimental technology used by a small number of networking enthusiasts. They have become essential digital infrastructure for public squares, libraries, schools, cultural venues, health centres, tourist areas and remote communities. The European WiFi4EU initiative … Read more
The strategic shift The most important question in artificial intelligence is no longer whether a closed commercial API gives a slightly better answer on a benchmark. The real question is who controls the infrastructure, the data, the cost curve, the audit trail and the right to adapt the system. Open models, especially open-weight models, have … Read more
Artificial intelligence is entering public administration, healthcare, education, local government and state security services. The central question is not whether public institutions will use AI. They already will. The real question is who will control the infrastructure, the data, the models, the logs and the rules of use. Public authorities can either build internal capacity … Read more
From PHAROS to local models: a layered architecture for open AI The right strategy for artificial intelligence is not to choose one single technological solution. Not everything needs to run on a supercomputer, and it is equally unreasonable for every public body, university, school or business to depend permanently on commercial cloud APIs. The rational … Read more
The race is not only about technology The current artificial intelligence boom is often described as a technological race. That description is incomplete. It is also a race for infrastructure, market power and control over the next layer of the digital economy. The largest technology companies are investing hundreds of billions of dollars every year … Read more
The shift from assistant to operator For a long time, public discussion treated artificial intelligence as an assistant. You ask, it answers. You upload a document, it summarizes it. You request a draft, it proposes one. That framing is already outdated. The real security issue begins when AI stops waiting for instructions and starts operating … Read more
Europe does not suffer from a lack of open source. It suffers from a lack of large-scale adoption. Across the European Union, the policy direction is already clear. Interoperability, reuse and cross-border public service improvement are now central to Europe’s digital agenda. Open source has also been increasingly linked to reduced dependency, stronger digital autonomy … Read more
