OpenEuroLLM, a pan-European consortium, faces significant compute resource challenges amid progress. First models expected July 2026.
OpenEuroLLM. The third path.
Browsing Category
AI & Tooling
100 posts
The Coding Singularity Is Real — and Steeper Than Clark Presented
Recent data confirms the coding singularity is underway, with AI systems now automating most routine software tasks faster than expected, but deployment varies across industries.
Mistral. The fourth path.
Mistral secures $830M in March 2026, becoming Europe’s leading venture-funded AI firm with rapid growth and significant enterprise clients, despite still trailing US models in reasoning.
Minerva. The opposite path.
Italy’s Minerva-3B, trained from scratch on 2.5 trillion tokens, underperforms on Italian benchmarks despite extensive investment, raising questions about native-language LLM scaling.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D, with OpenAI targeting a research intern by September 2026. This signals a shift in AI development strategies.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA model is operational, outperforming some benchmarks, but key structural questions remain unaddressed, impacting national AI strategy.
Fair-value appraisals for used GPUs and AI hardware
New approach proposes manual fair-value appraisals for used GPUs and AI hardware, aiming to resolve pricing disputes in secondary markets.
China Sphere Capability Gap, Q2 2026 Update: Five Labs, Five Strategies, One Narrowing Frontier
Five Chinese labs launched frontier-tier models within four weeks, narrowing the US-China AI capability gap in key areas, but the US still leads on top-tier tasks.
The Machine Economy — Capital-Heavy, Human-Light, Trading With Itself
Analysis of the emerging machine economy where AI-driven firms operate with minimal human input, reshaping markets and economic structures.
The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations
Research shows that 99.9% alignment accuracy per generation drops to 60% after 500 generations, raising concerns over recursive self-improvement safety.
