Recent data confirms the coding singularity is unfolding faster than previously estimated, with AI capabilities surpassing earlier forecasts and deployment expanding.
Aleph Alpha. The retrospective case.
Analyzing Aleph Alpha’s strategic pivot, leadership change, and recent acquisition to understand the costs of late structural adaptation in European AI development.
Engineering Is Automated. Research Is the Residual.
Recent developments show AI has automated most engineering tasks in AI R&D, leaving research as the remaining challenge, according to Thorsten Meyer.
Software engineering. The canonical case.
New data confirms junior developer displacement due to AI, while seniors benefit from augmentation. A bifurcated labor market emerges, with future risks forecasted.
OpenEuroLLM. The third path.
OpenEuroLLM, a pan-European consortium, faces significant compute resource challenges amid its ambitious multilingual LLM development goals, with first models due July 2026.
Mistral. The fourth path.
Mistral raises over $830M, ships multiple products, and trains large models, positioning as Europe’s strongest commercial AI player amid ongoing capability gaps.
Minerva. The opposite path.
Italy’s Minerva project trained from scratch on 2.5 trillion tokens but scored only 4.9% on Italian academic tests, raising questions about scale and investment.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D by 2026, signaling a strategic shift that could reshape the industry and workforce.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M LLM project AMÁLIA faces critical questions on openness, native data, and goals, raising concerns about European sovereign AI efforts.
The Atlas. What the framework is.
An in-depth look at the Post-Labor Transition Atlas, a new empirical framework analyzing AI-driven labor displacement and policy responses as of 2026.