Start Here

If you have just landed on this site and are not sure what it is, this page is for you. It takes about four minutes.

The problem I was trying to solve

When people want to understand something about AI, technology, fintech or crypto, they type a question into Google. What they get back is often a wall of long videos, thin listicles, or pages written to rank rather than to answer.

The straight answer is usually in there somewhere — often inside a video from someone who actually knows the subject — but it takes twenty minutes to find out whether it was worth it. And a great many videos are padding. I have watched enough of them to be confident about that.

Almost nobody wants to sit through a whole video to get one answer. What most people want is the answer to the question they searched for, in plain language, and then to decide whether to go deeper.

So that is what this site does. Every article starts from a question people search for on Google. The answer is researched with Google Search and built on named sources, and a video from someone who knows the subject adds a section of its own. The creator is credited, and the video is there if you want the full version.

Use it like a reference book: look the thing up, get the straight answer, and go deeper if you want. I go a long way for facts and named sources, but mistakes can happen here as anywhere — when it matters, double-check against other reputable sources. This site is meant to be a strong supplement, not an oracle.

What is here

Latest — the newest articles. A few a day, usually two or three.

Best of each topic — the source videos that most outperformed their own channel’s average, five per subject. This is the page to browse if you want the good stuff rather than the recent stuff, and it is built so a small channel with a strong video can beat a large one.

Topics — 18 of them, from AI agents to quantum computing; the site map lists them all. Each topic page has a Follow button.

Guides — longer pieces on the biggest subjects, drawing on everything the site has covered. Written with AI, and planned, checked and maintained by me.

Glossary — 56 terms explained for someone who wants the answer in thirty seconds and the reason underneath it. Terms in articles link here automatically.

Tools — 61 free tools. They run entirely in your browser: nothing you paste is uploaded, and nothing is stored.

Trends — which companies, models and protocols come up most across the whole archive, with the method and its limits stated on the page.

The bell at the top of every page — shows what is new since your last visit. Follow topics there and it counts only those. You can also turn on a daily notification: at most one a day, about the topics you follow, and off again with one click. On an iPhone or iPad, the bell shows you how to add the site to your Home Screen first, because Apple requires it.

Read later and History — articles you saved, and articles you have read. Like the topics you follow, they are kept in your own browser; there is no account.

What I think about AI, since you are here

A lot of people are frightened of it. My view is that fear is a poor substitute for understanding — not because there is nothing to be careful about, but because being afraid of something does not teach you anything about it.

There is a new way of using the internet arriving, and it opens a genuinely large set of possibilities. The people who get the most out of it will be the ones who took the time to find out what it actually does.

That cuts both ways, and this is the part I care about most. You need to know what these tools can do for you, and you need to know where the traps are — because there are a great many people who will happily abuse someone’s trust with them. Scams are what most people are actually afraid of, and fear does not help. Knowing what to look for does.

So ask the boring questions. What is it? What can it actually do? What are the openings? What should I watch out for? The more you know, the better the choices you get to make.

Learn it for your own sake. It will pay you back.

How the articles are made

I would rather tell you than have you work it out.

A system I built picks a question people search for on Google, within the subjects I have chosen. It researches that question with Google Search, keeps only facts backed by the pages Google cites, and finds a video on the subject from a creator or outlet who covers it. A language model writes the article to answer the question, with the sources listed at the end and the video as one section. Older articles were written from the video’s transcript alone; they are being rewritten with this method, a few a day. Those articles publish automatically — I do not read every one before it goes live.

What is mine is the machinery and the rules it follows: which subjects get covered and in what balance, which sources count, what gets rejected, and how sources are credited. When something goes wrong I fix the system rather than patch the one article.

That is also why the articles are written plainly. I have not watched all of these videos or read all of these articles, and writing as though I had would be a small lie told several hundred times. The one exception: on subjects I have real opinions about, I have given the system those opinions in my own words, and an article may carry one short passage in the first person. Those words are mine. Where you are otherwise reading me is here and on the about page.

The about page has the longer version, and the corrections policy explains what happens when something here is wrong.

Five minutes, well spent

If you have never used the site before, try this: open Best of each topic, pick the subject you care about, and read the top article in it. Then decide whether the video underneath it is worth your time.

That is the whole idea, and it either works for you or it does not.

— Jacob S. Olsen, Denmark