Stop using AI like Google
You ask questions and expect answers. That's why you never get what you actually want.
Not for experts — for everyone who wants to understand.
This week I tested all four major ones: Claude, ChatGPT, Gemini and Grok — with the same prompt, in English, on a concrete business problem. The results differed more than the price tags suggest.
The interesting thing is not which API computes fastest. It's which one actually understands the context. Idioms, industry terms, decision logic. That model wins your hours — regardless of what it costs per month.
In this issue: a comparison that actually helps you make decisions, three concrete test prompts you can copy directly, and a clear answer to whether you should pay 170 kr/month or 349 kr/month.
Read the full analysis →Every guide is written for individuals, business owners and anyone who wants to learn — concrete, direct and without academic overviews.
The four tools that actually make a difference in your daily life, plus a framework for getting started without unnecessary complexity.
Once you've moved past the prompt stage, you need chains that run without you. Here's the framework — without framework-bingo, without hidden costs.
Your own hardware, open models, full control. Step by step from an empty machine to an agent that actually does work for you overnight.
Long-form when needed, short when it's enough. Everything passes through the same filter: is it actually relevant for an entrepreneur who needs to make a decision next Monday?
You ask questions and expect answers. That's why you never get what you actually want.
Four models, four pricing plans, four different philosophies. The difference between the right and wrong choice is often hundreds per month — and hours lost when the model simply doesn't understand what you're trying to do.
A 32 GB GPU costs about the same as three years of Claude subscription. Is it worth it? It depends on what you need to do, how much you run, and how much of your data can't leave the building.
Writing about AI is easy. Writing about AI without sounding like a press-release generator is harder. Polaris follows a strict five-step method — every time.
TLDR AI, Stratechery, papers from arXiv, official blogs. Primary sources always — no summaries of summaries.
Test myself with real data. No hearsay, no demo videos. If I can't reproduce it, I don't publish it.
Only what matters for Nordic SMEs. The rest is cut — no matter how impressive it is in Silicon Valley.
In plain English, with practical examples, for decision-makers. Technical accuracy without technical jargon.
Free. No paywall. Without asking anything of you except the time it takes to read it.
A readable terminal view of what's actually moving in the AI world this week. No stock prices, no influencer quotes — just hard data.
Polaris doesn't work in a vacuum. These are the five feeds followed every week that form the foundation for everything published here.
Daily summary of what's actually being released in the AI world — no clickbait headlines.
Ben Thompson's strategic analysis of the tech companies driving the AI field forward.
Practical AI engineering, podcast and newsletter. What works in production.
Official releases, model cards and safety research straight from the source.
Technical release notes and research papers relating to the next GPT iteration.
Twenty years at the intersection of technology and business. Not in an office — out in the field. Founder of Hrafninn Industries AB. Building AI infrastructure by day, gaming computers by night. Polaris is my open knowledge base — what I wish someone had handed me when the AI shift began.
The most important AI, for everyone who wants to master it. No noise. Just what actually matters.
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