The real question is not model size, but control The debate on artificial intelligence is often framed as a race for the biggest model. That is the wrong starting point for public administration, businesses and education. The decisive questions are different: who controls the infrastructure, where do the data go, how predictable is the cost, … Read more
From better retrieval to answer inspection before delivery Retrieval-Augmented Generation was introduced as a practical answer to one of the central weaknesses of large language models: their ability to produce fluent, confident text even when they do not know the answer. The core idea is straightforward. Before the model answers, the system retrieves relevant documents. … Read more
AI changes the economics of attack Cybersecurity has entered a new phase. The main shift is not that computers suddenly became vulnerable. Software has always contained bugs, and some of those bugs have always been exploitable. What has changed is the economics of attack. Artificial intelligence lowers the cost of finding weaknesses, understanding unfamiliar code, … 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 That framing is already outdated.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
Fluency is not reliability Large language models create a dangerous illusion for both public administration and private organizations. They look like universal productivity engines: fast drafting, fast summaries, fast answers, fast recommendations. But speed and fluency are not the same as accuracy, accountability, or institutional reliability. A model can produce a polished paragraph and still … 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
An approval that changes the scale of ambition The approval of the proposal “Enhancing multilingual foundation models through lexicographic grounding: advancing GlossAPI for Apertus Greek language integration” by the Swiss AI Initiative is more than a welcome grant decision. It is a recognition that Greek should be treated as critical digital infrastructure in the age … Read more
Benefits and risks for the public and private sectors AI agents are not just better chatbots. They are systems that combine language models with tools, memory, retrieval, and the ability to execute multi step actions across software environments. That combination gives them real productive potential for both the Greek public sector and private firms, but … Read more
The Green and Sovereign Choice for Greece and Europe Europe’s artificial intelligence strategy stands at a structural inflection point. Dependence on hyperscale cloud infrastructures located outside the European Union increases systemic vendor lock-in, geopolitical exposure, and regulatory vulnerability. Simultaneously, the accelerating energy consumption of large AI infrastructures threatens Europe’s sustainability commitments and long-term competitiveness. The … Read more
Scientific Arguments Against Uncritical Deployment in the Public Sector Artificial Intelligence is frequently presented as a neutral instrument of modernization within public administration. Claims of efficiency and cost reduction dominate policy discourse. Yet a growing body of scientific research demonstrates that uncritical deployment of AI systems in public institutions poses structural risks to democratic governance, … Read more
