Recent benchmarks show AI now automates most engineering tasks in AI R&D, but research processes still require human input, according to Thorsten Meyer.
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 structural challenges of European sovereign-LLMs and their implications.
Software engineering. The canonical case.
New data confirms a 40% drop in junior hiring and a bifurcated impact of AI on software engineers, with juniors displaced and seniors augmented.
OpenEuroLLM. The third path.
European consortium OpenEuroLLM faces compute resource challenges amid progress toward multilingual open-source LLMs, highlighting limits of pan-European AI efforts.
The Coding Singularity Is Real — and Steeper Than Clark Presented
New data confirms AI’s coding capabilities have advanced faster than previously thought, accelerating the potential for recursive self-improvement loops in AI development.
Mistral. The fourth path.
Mistral raises $830M, becomes Europe’s top venture-backed AI firm, but faces capability gaps compared to US leaders, raising strategic questions.
Minerva. The opposite path.
Italy’s Minerva-3B, trained from scratch on 2.5 trillion tokens, scores only 4.9% on Italian academic tests, raising questions about scale and investment.
The Forecast Is the Plan.
Major AI organizations publicly commit to automating AI R&D, signaling a strategic shift with broad implications for the industry and future capabilities.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA model is operational, but key structural questions about openness, native data, and goals remain unresolved, impacting policy and research.
The Atlas. What the framework is.
The Post-Labor Transition Atlas offers an empirical, multi-dimensional framework analyzing AI-driven labor displacement, policy responses, and structural alternatives as of 2026.
