freedom

The Future of Large Language Models: From Scaling to Trustworthy Intelligence

A breakthrough, not a final destination Large language models have already changed how people write, code, search, translate, summarize, teach and organize knowledge. Their success rests on a powerful empirical insight: when models, data and compute grow together, new capabilities appear. This is the core intuition behind the scaling hypothesis, and it explains much of … Read more

Local Open AI Models: Public Infrastructure Instead of Digital Dependency

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

Large AI models should not be used in administration without guardrails, verification, and experienced human review

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

When AI Lies on Purpose: What Research Reveals

Beyond hallucination: a qualitative shift Public discussion about the shortcomings of large language models has long focused on so-called “hallucinations,” the generation of plausible but factually incorrect outputs resulting from statistical misprediction. However, a study published in September 2025 by OpenAI in collaboration with Apollo Research has documented something qualitatively different: models such as o3 … Read more

This Is Not the AI We Were Promised

Scientific reasons why uncritical LLM adoption in government is unsafe Michael Wooldridge’s Royal Society lecture makes a crucial point for public policy: today’s large language models are not “reasoning minds” but probabilistic next-token predictors. They generate fluent text without an internal notion of truth, accountability, or epistemic humility. This design reality matters most in the … Read more

Artificial Intelligence and the Public Interest

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

From German Commons to Greek Commons

A policy case for Greek as a national and European language data infrastructure Large language models depend on vast amounts of text, but scale without legal clarity produces fragile systems. Datasets built on opaque web crawling cannot guarantee lawful reuse, redistribution, or long-term sustainability. The German Commons provides a clear alternative: 154.56 billion tokens of … Read more

Sarantaporo.gr Community Network: Tending to Our Communities’ Needs with Care and Flexibility

At the beginning of May 2020, the Sarantaporo.gr community network team was approached by the Mayor of Elassona, a municipality in the Thessaly region in central Greece. He was asking for help with a very common problem that villages in our municipality face: lack of access to Internet connectivity. “Sykea” or “Sykia” is an isolated … Read more