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From Prompt Packs to Purpose-Built Models: When a Generalist Becomes a Specialist—and When It Still Doesn’t
OpenAI’s Academy has begun to systematize something many power users discovered by trial and error: with the right scaffolding, a general-purpose model can deliver specialist-level work. The “Prompt Packs” series—role-based collections for sales, product, engineers, HR, managers, executives, and public-sector roles—codifies prompts that structure tasks, inject domain context, and specify deliverables. In effect, they turn…
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AI Magnifies Your Team’s Strengths and Weaknesses – Insights from Google’s 2025 DORA Report
AI as the Great Amplifier Artificial intelligence isn’t a magical fix for a struggling software team – it’s more like a spotlight and a megaphone. That’s the main takeaway from Google Cloud’s 2025 State of AI-Assisted Software Development report, part of the DORA research program (DevOps Research and Assessment). The report reveals that AI doesn’t…
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The EU’s Regulatory Overreach: Stifling Innovation and Punishing Consumers
In the ever-evolving saga of Big Tech versus bureaucracy, Apple’s latest unveiling on September 9, 2025, should have been a triumph—a live translation feature for AirPods that promises to dissolve language barriers in real time. Picture it: effortless conversations across cultures, a true leap forward in connectivity. Yet, for users in Germany and the broader…
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OpenAI for Germany: A Tech Mirage Ignoring Citizens’ Real Needs
Oh, joy unbounded! Another tech behemoth swoops in to “revolutionize” the public sector, this time with OpenAI teaming up with SAP and Microsoft to birth “OpenAI for Germany” – a sovereign AI playground slated for 2026, where data stays cozy within German borders thanks to Azure-powered clouds. Because nothing says “innovation” like slapping AI lipstick…
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When “Errors” Speak: A Comparative Field Guide to Human and LLM Fallibility
The perspectives below come from a mathematician’s vantage point. They are not the product of formal training in behavioral psychology, and any remarks about human behavior may therefore be incomplete. The aim is pragmatic clarity rather than exhaustive theory. tl;dr Modern language models (LLMs) and humans both produce mistakes that look similar—fabricated facts, misplaced confidence,…
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