Recent developments show AI can now automate much of AI engineering, with research remaining a smaller, less defined residual challenge, according to Thorsten Meyer.
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Engineering Is Automated. Research Is the Residual.
Software engineering. The canonical case.
New data confirms a 40% drop in junior hiring, with seniors increasingly augmented by AI. The sector faces a bifurcated future amid structural shifts.
OpenEuroLLM. The third path.
OpenEuroLLM, a pan-European consortium funded by €20.6M EU budget, faces significant compute constraints as it develops multilingual LLMs, with first models due July 2026.
The Coding Singularity Is Real — and Steeper Than Clark Presented
Recent data confirms the coding singularity is occurring faster than previously projected, with AI systems now handling most routine software engineering tasks.
Mistral. The fourth path.
Mistral raises $830M, becomes Europe’s leading commercial AI firm, but still trails US models in reasoning. This marks a new strategic approach in European AI.
Minerva. The opposite path.
Italy’s Minerva project trained from scratch on 2.5 trillion tokens but scored only 4.9% on Italian school exams, raising questions about scale and investment.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI research by September 2026, signaling a shift in industry strategy and potential impacts on AI development.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA LLM faces critical questions on openness, native data, and goals, raising broader issues for European sovereign AI efforts.
The Atlas. What the framework is.
The Post-Labor Transition Atlas is a new empirical framework analyzing AI’s impact on labor markets, highlighting sectoral displacement and policy responses.
Fair-value appraisals for used GPUs and AI hardware
New workflow tests manual fair-value appraisals for used GPUs and AI hardware, aiming to resolve pricing disputes in secondary markets.
