Recent benchmarks show AI can automate core engineering tasks, leaving research as the remaining challenge, with implications for AI development timelines.
The Latest
Engineering Is Automated. Research Is the Residual.
Aleph Alpha. The retrospective case.
Analyzing Aleph Alpha’s strategic pivot, funding, and acquisition to understand the challenges of European sovereign AI development.
Software engineering. The canonical case.
Empirical evidence shows junior developers face significant displacement, while senior engineers benefit from augmentation. A pipeline crisis looms, with macro factors also at play.
OpenEuroLLM. The third path.
OpenEuroLLM, a pan-European project funded by €20.6M from the EU, faces significant compute challenges as it aims to develop multilingual open-source LLMs across 20 organizations.
The Coding Singularity Is Real — and Steeper Than Clark Presented
Recent data confirms the coding singularity is accelerating faster than previously thought, with AI systems now handling most routine software engineering tasks.
Mistral. The fourth path.
Mistral has raised over $830M, shipped six products, and trained a large model, establishing itself as Europe’s leading venture-backed AI firm, but capability gaps remain.
Minerva. The opposite path.
Italy’s Minerva-3B, trained from scratch on 2.5 trillion tokens, scored 4.9% on Italian school exams, raising questions about scale and investment in sovereign LLMs.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D by 2026, signaling a shift from research goals to execution plans with significant implications for the industry.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA project, a European Portuguese LLM, is operational but faces critical questions about openness, native data, and goals, raising broader policy concerns.
The Atlas. What the framework is.
An analysis of the Post-Labor Transition Atlas, a new empirical framework assessing AI-driven labor displacement, policy responses, and structural alternatives as of 2026.
