229 hours
of video
44 hours
to read it all
469
articles

That is the whole archive: the videos behind these articles run 229 hours, and reading every article takes 44 hours. Nobody watched all of it — a machine drafted the articles, using published sources and the videos as research. The point is that you can decide what deserves your time before you spend it.

About TechFeedWatch

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 TechFeedWatch 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 a real question people search for. 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 article answers the question in plain language. 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.

Use it like a reference book

My ambition is for TechFeedWatch to work as a reference: when something is moving in AI and you want to know what it actually is, you come here, look it up, and get a straight answer built on named sources.

I go a long way for facts and verified sources — it is the thing I care most about — but mistakes can still happen, here as anywhere. So treat this site as a strong supplement, not an oracle: when a decision rides on it, double-check the claim against other reputable sources. Any site that discourages you from doing that is asking for more trust than it has earned.

Who runs this site

My name is Jacob S. Olsen, and I run TechFeedWatch 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.

The short background: I have spent years of my spare time inside this subject — many hundreds of videos, if not thousands, and more articles than I can count, on AI, prompt engineering, how websites are built, and how search works. The publishing system behind this site took months of fine-tuning before I let it write in public, and tuning it is still most of the work.

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. It researches that question with Google Search and keeps only facts backed by the pages Google cites, then finds a video on the subject from a creator or outlet who covers it. A language model writes the article to answer the question: it may not use a number that the research or the video does not back up, the sources are listed at the end, and the video adds one section. Articles written before October 2026 used the video’s transcript as their research material instead; they are being rewritten with the new method, a few a day. Images labelled “AI-generated” are made by an AI model.

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 nothing 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 sources count, 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. The rules every article has to pass are listed in the editorial guidelines.

That is also why the articles are written in a plain, neutral voice. 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. One exception, and you will know it when you see it: on the subjects I have real opinions and experience about, I have written those down for the system in my own words — my views, my phrasings, the nuances I actually hold — and where an article touches one of those subjects, it may carry one short passage in the first person. Those passages are mine; the system is not allowed to invent any. Everything else stays neutral, and I would rather have your trust than your impression of me.

Where you are reading me is here. The guides and the glossary are written with AI too, but they are planned, checked and maintained by me, and I stand behind them.

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. 61 of them, and none is derived from anyone’s video: they are built with AI, and planned, checked and maintained by me. 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.

18 topics you can follow. From AI agents to quantum computing. Follow the ones you care about with the bell at the top of the page, or the Follow button on a topic page, and the bell counts only new articles in those. Your choices stay in your own browser; there is no account to create.

A daily notification, if you want one. Turn it on under the bell: at most one a day, about the topics you follow, and off again with one click. On an iPhone or iPad, Apple only allows it once the site has been added to your Home Screen, and the bell shows you how. The privacy policy says exactly what is stored.

Read later and History. Save any article with its Save button and find it again under Read later; History lists what you have read. Both are kept in your browser only.

If this site ever takes a partner

It does not today. If there are ever collaborations or partner links here, they will say so where they appear, plainly and in the same breath as the recommendation. I am not in the business of leading readers somewhere without telling them why — I would rather lose the deal than hide 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.