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Notes from the path.

Writing on machine learning in production, high-performance analytics, the philosophy behind continuous improvement, and what it's like building world-class data systems from Northern Norway.

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A hands-on local AI workshop in Mo i Rana

Kaizenkodo, Kunnskapsparken Helgeland and the Arctic Cluster Team ran an in-person workshop at the Tech Lab of Campus Helgeland — with live structured-extraction and agentic-coding demos on an NVIDIA RTX A6000.

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One-time codes in LesS/KEY: 2FA without the vault

Our no-vault password tool now generates two-factor codes too: TOTP seeds sealed with argon2id and XChaCha20-Poly1305, several master passwords, 15-word passphrases, and a console that finally behaves on a phone.

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A Tools section, and our first tool: LesS/KEY

We opened a home for the small, sharp utilities we build for our own work. First up: LesS/KEY, a password manager that stores nothing and runs entirely in your browser.

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A model is never finished: why we build ML in cycles

The ensō is drawn in a single stroke, yet it's never quite closed. That's the truth of machine learning too: the first pass is rarely right. Here's how we turn that into an advantage instead of a liability.

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Building world-class data systems from Sleneset

You don't need to sit in a tech capital to do deep work. On distributed teams, focus, and engineering from the Helgeland coast.

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Form follows function: a Bauhaus approach to ML systems

The most powerful systems are the most elegant. What a German design school teaches us about clean architecture and purposeful models.

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Turning public registries into decisions

Open data is everywhere; usable answers are rare. How we turn public registries into evidence-graded profiles people can actually decide on.

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A practical introduction to local AI

A webinar with Kunnskapsparken Helgeland and the Arctic Cluster Team: running open-source models like Qwen2.5 on local hardware, demonstrated live from Sleneset.

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