New data confirms AI coding capabilities are advancing faster, pushing toward a recursive self-improvement loop, with implications for industry and policy.
The Coding Singularity Is Real — and Steeper Than Clark Presented
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Advanced Topics in SQA
178 posts
Mistral. The fourth path.
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.
Minerva. The opposite path.
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.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D by 2026, signaling a shift from aspiration to strategic execution, with significant industry implications.
AMÁLIA · The Three Hard Questions.
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.
The Atlas. What the framework is.
An in-depth analysis of the Post-Labor Transition Atlas, its empirical basis, structural insights, and implications for AI-driven labor displacement.
China Sphere Capability Gap, Q2 2026 Update: Five Labs, Five Strategies, One Narrowing Frontier
Five Chinese labs shipped frontier-tier models in April 2026, narrowing the capability gap with US leaders while maintaining cost and licensing advantages.
The Machine Economy — Capital-Heavy, Human-Light, Trading With Itself
Analysis of the emerging machine economy where AI-driven firms operate with minimal human involvement, reshaping markets and economic structures.
The Co-Founder’s Black Hole — A Structural Read on Jack Clark’s Automated AI R&D Essay
Jack Clark predicts over 60% chance of fully automated AI research by 2028, raising concerns about institutional capacity and future unpredictability.
732 Bytes to Root. One Hour of Scan Time.
A new Linux kernel privilege escalation bug was found using just one hour of AI-driven scanning, collapsing previous cost assumptions for zero-day exploits.
