On February 28, 2026, Donald Knuth, professor emeritus at Stanford University and author of the landmark work The Art of Computer Programming, published a note titled “Claude’s Cycles” describing how Anthropic’s Claude Opus 4.6 model… When AI Solves Open Mathematical Problems
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… When AI Lies on Purpose: What Research Reveals
From Hyperscale Cloud Dependence to Efficient Local Infrastructure Europe’s AI strategy is at a structural crossroads. Market concentration in AI compute and cloud infrastructure, as documented by the OECD, exposes public administrations and SMEs to… Local, Low-Cost Open Source AI Models: A Sovereign and Sustainable Alternative for the Public Sector and SMEs
Five inventions needed to ground AI in reality Large Language Models have achieved a remarkable feat: they compress a vast fraction of written human knowledge into a next-token prediction engine. Yet the very nature of… From LLMs that “talk” to systems that “understand”
Why Artificial General Intelligence Remains a Distant Prospect Public discourse has increasingly conflated today’s generative AI systems with the imminent arrival of Artificial General Intelligence. The assumption that scaling large language models will naturally culminate… AGI Is Not Around the Corner
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… This Is Not the AI We Were Promised
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… Artificial Intelligence and the Public Interest
From Web Scraping to a Clean, Research-Ready Dataset At GlossAPI, our mission is to build open, high-quality Greek language datasets that support the Greek AI ecosystem. In this article, we present our latest dataset: a… Building an Open Greek Book Corpus from Openbook.gr
Artificial Intelligence is undergoing a period of rapid evolution, yet the transition from impressive demos to meaningful production remain a challenge. Despite the emergence of tools like AutoGPT, the implementation of “agentic AI” often faces… Digital Sovereignty and Agentic AI: The Strategy of Local LLMs
Why low cost fully open source local LLMs matter for policy, research and industry The contemporary debate on artificial intelligence is polarized. On one side, industry leaders predict the imminent arrival of superintelligence and massive… Artificial Intelligence beyond the hype
European low cost, open source local LLMs as a strategic alternative The global AI narrative remains focused on ever larger language models, demanding massive computational resources and reinforcing dependence on a handful of providers. As… Open Source AI Beyond Scale
