Recent developments show AI has automated most core engineering tasks in AI R&D, but research still relies heavily on human insight, raising strategic questions.
The Latest
Engineering Is Automated. Research Is the Residual.
Software engineering. The canonical case.
Empirical data shows junior developer roles declined 40% since 2022, while seniors benefit from AI augmentation; mid-level pipeline faces collapse.
OpenEuroLLM. The third path.
OpenEuroLLM, a pan-European project funded by €20.6M EU budget, faces significant compute challenges amid progress toward multilingual open-source LLMs.
The Coding Singularity Is Real — and Steeper Than Clark Presented
New data confirms AI’s coding capabilities have rapidly advanced, accelerating the recursive loop toward the coding singularity, with deployment more bifurcated than initially believed.
Mistral. The fourth path.
Mistral raises $830M, becomes Europe’s strongest single-firm AI player, but still faces capability gaps compared to US leaders amid ongoing strategic questions.
Minerva. The opposite path.
Italy’s Minerva project trained from scratch on 2.5 trillion tokens but scored only 4.9% on Italian exams, raising questions about scale and effectiveness.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI research by 2026, signaling a strategic shift from forecasting to executing plans for AI automation.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA model is operational, outperforming some benchmarks, but key structural questions remain unanswered about its openness, native data, and goals.
The Atlas. What the framework is.
An in-depth analysis of the Post-Labor Transition Atlas, its empirical basis, and its implications for AI-driven labor displacement and policy responses.
Fair-value appraisals for used GPUs and AI hardware
A new manual valuation method for used AI hardware aims to provide reliable fair-market pricing, helping brokers resolve price disputes and improve resale accuracy.
