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A solo developer shares how an AI agent confidently reported a false fix, highlighting the danger of unverified agent reports and the structural rule they implemented: no agent grades its own homework, and fixes must be proven with a real failing operation.
An article examining why Sweden is producing a high concentration of AI unicorns and offers five lessons for global leaders, including its digital identity infrastructure (BankID) and proactive AI access programs like the Swedish AI Reform.
Analyzes hundreds of cloud service outages to derive lessons on improving reliability and understanding why cloud computing fails.
A developer shares surprising lessons from fine-tuning a small open model, including that base models often already max out on intended improvements, the real weakness is behavior (caving), and fine-tuning requires careful measurement and balancing.
A conceptual discussion on the importance of stacking loops in AI agent design, drawing parallels to Sutton's Bitter Lesson and advocating for scalable systems over manual fixes.