From visual appeal to knowledge, transparency, and digital commons Over the past decade, AI-based image generation has evolved from an experimental research topic into a foundational technology for education, science, culture, and the creative industries.… The value of open source AI image generation projects
Scientific Models and Philosophical Limits of Artificial Consciousness The rapid progress of artificial intelligence has revived one of the most profound questions in the philosophy of mind: can a machine genuinely be conscious, or does… Can Machines Be Conscious?
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… From German Commons to Greek Commons
When linguistic plausibility replaces judgment and why this is a governance issue Large language models are widely described as artificial intelligence because their outputs resemble human reasoning. This resemblance, however, is largely superficial. As argued… Epistemological fault lines between human and artificial intelligence
Open standards for documented linguistic knowledge Language corpora have become a foundational infrastructure for linguistics, natural language processing, and contemporary artificial intelligence. The term corpus does not merely denote a collection of texts but implies… Language corpora and Text Encoding Initiative(TEI)
When bigger stops being better For years, the slogan “scale is all you need” captured the dominant mindset in AI. The recipe sounded simple: more data, more compute, larger models, and general intelligence would somehow… Beyond Scaling: Rethinking AI for People, Planet and Science
A seductive solution with hidden dangers Synthetic data is often presented as a clever fix for three persistent challenges in machine learning: data scarcity, unfair training distributions and privacy restrictions. At the same time, some… Synthetic Data, Real Risks: Why AI Must Be Trained on High-Quality Open Data
Apertus AI is one of the most transparent and technically mature efforts to build a fully open-source large language model. Developed in Switzerland and released together with its source code, training documentation and model weights,… Apertus AI: A Fully Open Multilingual LLM for Local and Customized Deployment
The rapid evolution of fully open large language models represents a transformative moment for countries that possess rich linguistic and cultural heritage. Over the past two years, the global AI community has shown that high-performance… Building a Fully Open Greek LLM: A Three-Millennia Language Model Powered by Open Data Infrastructure
Beyond Data Access: Who Truly Benefits? The European Commission’s new Data Union Strategy aims to expand access to high-quality data for Artificial Intelligence, simplify data rules, and strengthen the EU’s global position in cross-border data… The EU’s Data Union Strategy Through a MyData Lens, Why Europe Needs a Human-Centric, Not Only Industrial, Data Economy
LLMs meet Greek dialects Modern Greek is far from monolithic. From Cretan and Cypriot Greek to Pontic, Heptanesian, Tsakonian and Griko, the Greek-speaking world is characterised by rich dialectal variation shaped by geography, contact, and… GRDD+: A Large-Scale Greek Dialectal Dataset for the Age of LLMs
A Global Problem: Thousands of Languages Left Behind In recent years, automatic speech recognition has reached impressive accuracy for well-resourced languages. Yet this progress has not been shared equally. The majority of the world’s languages… Omnilingual ASR and the Future of Universal Speech Recognition