Thoughts on technology, recipes, music and creative processes. A mix of tutorials, opinions and analyses.
Chasing 100% accuracy in LLMs is a fool's errand. Real engineering value comes from reliability, predictability, and the ability to handle failure gracefully. Here is why 'dumb but consistent' often beats 'smart but random'.
A practical guide to designing open-domain AI systems with one concrete port-compliance case, failure containment patterns, and a production-grade evaluation workflow.
How being fully present with your partner reveals that respect isn't loud - it's in the smallest gestures, undivided attention, and the dignity of truly being there.
Discover the fascinating neuroscience and psychology behind creative inspiration, from emotional stagnation to breakthrough moments, and why your accumulated experiences are the secret ingredient to sustained creativity.
Chasing 100% accuracy in LLMs is a fool's errand. Real engineering value comes from reliability, predictability, and the ability to handle failure gracefully. Here is why 'dumb but consistent' often beats 'smart but random'.
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The market has shifted from AI assistants to AI agents with real permissions. With OpenClaw, Moltbook, OpenAI Frontier, and Claude Opus 4.6 all accelerating in early 2026, the key question is no longer capability. It is operational readiness and control.
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Pure model scaling is no longer the whole story. A practical map of where the next serious gains are coming from: inference-time compute, retrieval design, tool integration, and human-in-the-loop systems.
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A practical playbook for building reliable AI agents in ports, logistics, and compliance-heavy environments where failure is expensive and chat UX is irrelevant.
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What Duolingo's last two years reveal about AI-first strategy: massive upside in speed and scale, but real downside when execution looks like replacement instead of augmentation.
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We act like emotions are compartmentalized, but they are not. One depleted system can quietly contaminate work, friendships, parenting, and love. A practical model for protecting your emotional battery before cascade failure starts.
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AI value in 2026 comes from shared platforms, clear ownership, and enforceable governance. A practical guide to AI factories, organizational design, and building systems that can survive regulatory change.
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2026 looks less like another pilot year and more like an execution year for maritime AI. The shift is not about bigger models. It is about measurable ROI from digital twins, unified monitoring, edge retrofits, and agentic operations.
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A practical deep dive on open-weight reasoning models in 2026: definitions, architecture patterns, strengths, risks, and how to decide when open weights beat closed APIs.
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