214 hours
of video
39 hours
to read it all
438
articles

That is the whole archive: the videos behind these articles run 214 hours, and reading every article takes 39 hours. Nobody watched all of it — a machine drafted the summaries. The point is that you can decide what deserves your time before you spend it.

About Tech Feed Watch

Writing about AI and what it can do is a long story. I could fill a hundred articles with it and still not be finished. But let me try to explain what this site is about, and why I think it matters — because I would like you to come away understanding it a little better than when you arrived.

Don’t be afraid of it. Learn it.

A lot of people are frightened of AI. My view is that fear is the wrong response — not because there is nothing to be careful about, but because being afraid of something is a poor substitute for understanding 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 AI can do for you, and you need to know where the traps are — because there are a great many people around the world who will happily abuse someone’s trust with these tools. Scams are exactly what most people are afraid of, and being afraid does not help. Knowing what to look for does.

So ask the boring questions. What is AI? What can it actually do? What are the openings? What should I be watching for? The more you know, the better the choices you get to make. That is the whole argument.

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

Why this site exists

Here is what I noticed, and it is the reason Tech Feed Watch is built the way it is.

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 in there somewhere — usually inside a video from someone who actually knows the subject — but it takes twenty minutes to find out whether it was worth it.

So every article here starts from two things: a real question people search for, and a video from an independent creator who covers it. The article answers the question in plain language, using that video as its research material. The creator is always credited, and the video is there if you want the full version.

That is it. I am trying to make it easier for people who are interested in tech to get a straight answer — and to know where it came from.

Who runs this site

My name is Jacob S. Olsen, and I run Tech Feed Watch on my own from Denmark. There is no company behind it and no editorial team — it is one person, a set of tools I built, and a publishing system I maintain.

You can reach me at [email protected], or find me on X as @JacobStubbeJS. If something on this site is wrong, that is the fastest way to tell me.

How the articles are made, plainly

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

A system I built picks a question people search for on Google, within the subjects I have chosen, and finds a video from an independent creator on that subject. A language model writes the article to answer the question, using the video’s transcript as its research material. Those articles publish automatically — I do not read every one before it goes live. The system publishes a few a day — usually two or three, fewer at weekends, and none on a day when no video passes the checks. A run that finds nothing good enough publishes nothing.

What is mine is the machinery and the rules it follows: which subjects get covered and in what balance, which channels are searched, what gets rejected, how sources are credited, and what this site is allowed to claim. When something goes wrong, I fix the system rather than patch the single article, so the same mistake does not repeat three hundred times.

That is also why the articles are written in a plain, neutral voice rather than in mine. I have not watched all of these videos or read all of these articles. Writing as though I had would be a small lie told several hundred times, and I would rather have your trust than your impression of one.

Where you are reading me is here, in the guides, and in the glossary. Those I write and stand behind.

If you think the automation makes the writing less trustworthy, that is a fair thing to weigh — which is why it is on this page and not buried in a footer.

What else is here

Free tools. 35 of them, and they are the part of this site that is entirely mine rather than derived from anyone’s video. They all run inside your browser: nothing you paste is uploaded, and nothing is stored.

Two pages built from the site’s own data. Trends counts which companies, models and protocols come up most across every article. Best of each topic ranks source videos by how far they beat their own channel’s average, so a small channel with a strong video can outrank a large one. Both state their method and their limits on the page, because a number without those is just a claim.

A glossary of the terms that keep appearing, written for someone who wants the answer in thirty seconds and the reason underneath it.

Corrections

If an article gets something wrong, I want to know. The corrections policy explains what I do about it and how quickly. If you made a video covered here and you want the article changed or taken down, email me and it is done — no explanation needed.

Get in touch

Feedback, a correction, or a video worth covering: [email protected]. I read everything sent there.