Portugal’s €5.5M AMÁLIA language model faces critical questions on openness, native data, and objectives, raising broader issues for European AI efforts.
AMÁLIA · The Three Hard Questions.
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AI and automation
128 posts
Aleph Alpha. The retrospective case.
Analyzing Aleph Alpha’s journey from frontier AI to merger with Cohere, revealing key lessons for European sovereign AI development.
Engineering Is Automated. Research Is the Residual.
Recent developments show AI can automate core engineering tasks in AI R&D, while research processes still require human input. The shift impacts future AI innovation.
Software engineering. The canonical case.
New data shows a 40% drop in junior hiring, with senior engineers benefiting from AI augmentation, revealing a bifurcated labor market in software engineering.
The Coding Singularity Is Real — and Steeper Than Clark Presented
Recent data confirms AI’s coding capabilities are advancing faster, suggesting a more imminent and profound singularity in software development than previously thought.
The Atlas. What the framework is.
An overview of the Post-Labor Transition Atlas, its empirical basis, structural insights, and implications for AI-driven labor displacement.
Mistral. The fourth path.
Mistral raises $830M, becomes Europe’s strongest single-firm AI player, but still trails US leaders in capability, highlighting strategic challenges.
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 native-language investment needs.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D by 2026, signaling a strategic shift toward automation as a core goal, with significant implications for the industry.
Amazon CEO’s talks with U.S. officials triggered crackdown on Anthropic models
Amazon’s CEO engaged with U.S. officials, leading to a government crackdown on Anthropic’s AI models amid regulatory concerns.
