Advanced Topics in SQA

Six months after initial analysis, FDE unit economics reveal profitability at enterprise scale but risks at lower levels, shaping AI industry growth.

• EarnQA Team
• June 15, 2026

Analyzing Aleph Alpha’s strategic pivot, leadership exit, and merger with Cohere to understand Europe’s AI development challenges.

• EarnQA Team
• June 14, 2026

Recent benchmarks show AI can automate core engineering tasks, while research remains less automated, raising questions about future AI development.

• EarnQA Team
• June 14, 2026

European consortium OpenEuroLLM faces significant compute challenges as it progresses toward July 2026 model delivery, highlighting limits of pan-European AI efforts.

• EarnQA Team
• June 14, 2026

New data confirms AI coding capabilities are advancing faster, pushing toward a recursive self-improvement loop, with implications for industry and policy.

• EarnQA Team
• June 14, 2026

Mistral, a Paris-based AI firm, raised over $830M in 2026, becoming Europe’s strongest commercial AI player, yet still behind US leaders in reasoning tasks.

• EarnQA Team
• June 14, 2026

Italy’s Minerva project trained from scratch on 2.5 trillion tokens but scored only 4.9% on Italian academic tests, raising questions about scale and investment.

• EarnQA Team
• June 14, 2026

Major AI labs publicly commit to automating AI R&D by 2026, signaling a shift from aspiration to strategic execution, with significant industry implications.

• EarnQA Team
• June 14, 2026

Portugal’s €5.5M AMÁLIA project, a European Portuguese large language model, is operational but faces key structural questions about openness, native data, and goals.

• EarnQA Team
• June 14, 2026

An in-depth analysis of the Post-Labor Transition Atlas, its empirical basis, structural insights, and implications for AI-driven labor displacement.

• EarnQA Team
• June 14, 2026