Recent advances show AI can now automate most engineering tasks, but research still relies heavily on human creativity, raising strategic questions.
The Latest
Engineering Is Automated. Research Is the Residual.
Software engineering. The canonical case.
Empirical data confirms a 40% drop in junior developer hiring since 2022, with senior engineers mostly augmented by AI. The sector faces a bifurcated impact and a looming pipeline crisis.
OpenEuroLLM. The third path.
OpenEuroLLM, a major pan-European project, faces significant compute challenges despite progress. First models expected July 2026.
The Coding Singularity Is Real — and Steeper Than Clark Presented
New data confirms the AI-driven coding singularity is advancing faster than previously estimated, with broader deployment implications emerging in 2026.
Mistral. The fourth path.
Mistral, a venture-backed French AI firm, has raised $830M, shipped six products, and is Europe’s strongest single-company AI effort, yet still trails US leaders in capability.
Minerva. The opposite path.
Italy’s Minerva project trained from scratch on 2.5 trillion tokens, yet scored only 4.9% on Italian academic tests, raising questions about native-language investment.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D by 2026, signaling a strategic shift towards automation as a core goal, with significant implications for the sector.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA model is operational, but key questions about openness, native data, and goals remain unanswered as the project advances.
The Atlas. What the framework is.
An analysis of the Post-Labor Transition Atlas, a new empirical framework examining AI-driven labor displacement and policy responses as of 2026.
Police officer investigated for using AI to ‘create evidence’ in multiple cases
A police officer is being investigated for allegedly using AI to create evidence in multiple criminal cases, raising concerns over judicial integrity.
