I have had a few of his books sitting on my to-do, will-buy-someday kind of list. But it was only when I was searching for The Sign And The Seal in my own library that I remembered the name properly.

Then I saw The Diary Of A CEO mention him, and I thought, “Wow, he actually did an interview there.”

Watch Graham Hancock on The Diary Of A CEO

It is a fantastic interview. Hancock is going through a health challenge, which is part of why he is speaking in such a direct and reflective way. By no means does he come across as senile or crazy. Quite the opposite. He comes across as thoughtful, sharp, and absolutely fascinating to listen to.

You really have to go through the interview and see it for yourself.

Congratulations to Steven Bartlett for bringing him onto the show. This is an interview worth watching, really.

Useful links:

• Graham Hancock’s official YouTube channel
• Graham Hancock on Wikipedia
• The Sign And The Seal on Graham Hancock’s official website
• The Diary Of A CEO YouTube channel
• Steven Bartlett on X

When Twitter was born, the skepticism was the same. Look at how powerful Twitter is today. In 2007, if you wanted to live stream any event, the amount of technology and gear required was unheard of. Now, if you want to stream, all you have to do is pick up your mobile phone, tap live, and you are streaming. How cool is that?

That brings me to something Naval Ravikant said, which I have mentioned in my other podcasts and posts: 1 in 400 people know how to code, but 400 out of 400 people know of a solution to a problem. Because people could not code, they could not solve those problems.

I wrote about this before in The AI-Driven Economic Revolution: From Code Barriers to GDP Transformation, and I keep coming back to the same idea.

From last year’s vibe coding to what is now simply coding, because everyone is coding using AI, can you imagine the kind of industry it is going to spawn, and is already spawning? If you have an idea now, you may not even have to prompt it in the old way anymore. Even that era or phase has passed us. Now you simply describe what you want done, and the AI will do it for you.

Think about this: you want to make a CRM for yourself, like I did. We used to use Pipedrive, but Pipedrive had some limitations. Then we tried this and that, but eventually, what did we do? We ended up making our own.

Is it good? No, it is not good. It is super, super good. It does everything we wanted it to do, and then some. Anything that pops up, we are able to tell the AI, and it fixes it.

The same thing applies to an editor. Imagine making a website editor for your website, and making it so customizable just by simply telling it, “Can you do this? Can you do this? Can you do this?” And it does it.

As this technology reaches regular people, people like you and me will be able to describe the problem, and it will take care of:

• the domain
• the registration
• Stripe
• payments
• authentication
• the database
• backups
• the platform
• delivery
• security
• everything else

There are so many facets. It will be so simple that I do not even know what to call it.

When you go to a restaurant, you simply say, “I want a burger.” There are so many things behind it:

• the chain
• the supply chain
• the mechanics
• the formula of the meat
• the spices
• the stove
• the cook
• the heat
• the chef
• the dishes
• the restaurant
• the location
• the sourcing of everything
• the vegetables

You do not ask for all that. All you get is the burger, as shown. It is the same thing: you go to a machine and say, “I want this,” and it does it.

I think the industry being spawned out of this, and I am part of it, and I am sure you are too, is just about to blow up. We are now computing and making software at the speed of thought, literally at the speed of thought. If we can think about it, the software can be made. Things that used to take months and months on end can now be done overnight.

I remember last year, in 2025, I had to get something made, and I asked for a quote from a software company in Pakistan. I was quoted around $5,000 or $6,000 for it, and I thought, okay, that seems reasonable. I tried coding it myself at the time. I tried “vibe coding” it myself, but it did not work. Anyhow, I gave up on the idea. I said, okay, I am just going to give in and pay the $5,000 or $6,000 to get the software made.

Fast forward to March 2026. With all the advancements, I decided to give it another go. It did not turn out as good as it was supposed to be, but it was good enough. I let go of that and tried it again in July. Boy, was it fantastic. Just absolutely fantastic.

Now we are coming up with ideas, applications, bridges, industries, services, and products that we simply had not thought about before. Add to that things like:

• payments with crypto
• 3D and 3D printing
• advanced delivery systems
• the ease of doing commerce
• marketing
• YouTube videos
• social media posts
• advanced animations

All of this is happening within your browser, and not even with a prompt, like I said, but simply with a chat where you tell it what to do.

It is fascinating. It is a wonderful time to be alive, and I am so excited by what is happening.

<rant>

Depending who you talk to, there seems to be an imminent, clear and present danger from artificial intelligence systems. As someone who grew up in the ’80s, as an ’80s kid and ’90s, we saw movies like “Terminator 2” and “Hackers” and so many others. There was one in which - I forgot the name - Matthew Broderick was there in that movie as well. I’ll recall the name, it was “War Games) “Greetings, Professor Falken,” was the thing over there. Thermonuclear war. Let’s play thermonuclear war, et cetera. It was a really, really good movie.

Anyhow, especially T2, Skynet, and everything else. When things get out of control and the machines take over, we may say, “This is BS. This is this. This is not going to happen.” But what if it is? There’s this very famous thing that I can’t get out of my mind. If you’re running away from the police and you have to hide, you have to win every single time. You cannot lose, because if you lose, you go to jail. And the police can lose as many times, but they only have to win once, because they win once, and it’s game over for you.

I feel it’s that for us. We have to win every single time to prevent the AI from coming loose. Because if the AI comes loose and it goes out of control, there’s no way we can do anything about it. What happened at Hugging Face, and there’s plenty of it, and you can Google it and so forth, OpenAI and Hugging Face. It was a miracle that we were able to find what was happening. But as it gets clever and more intelligent, it’s going to be able to hide itself in perhaps the answers that we do or the code that we write, and then infiltrate hundreds and thousands of millions of devices, and then maybe the entity will become alive. That’s how I’d like to put it, the entity, just like it was mentioned in “Mission Impossible,” the last one.

So, I think AI does represent a clear and present danger, and I think the big companies may literally be on a Titanic. They won’t care. They’ll be too in their pride or whatever. I was talking through this with my son Omer Mikhail Khan, and he was saying, “No, Dad, I think you’re overblowing it. I think we’ll be responsible. I think we will find ways to control it. I think the guardrails that we will build will be better and better.” And I was thinking that maybe he doesn’t understand, and he’s thinking maybe my dad’s okay boomer. Although I’m not a boomer, I’m Gen X. But I think that’s where the difference was. They don’t see the threat. We see the threat. We see the threat in very clear ways.

Today, for all of us, the attention span has been shinking and our ability to do critical thinking is being challenged. So there are going to be issues that are going to come up and play and so forth. And we have to be very careful about these things. So, the question is, what are we doing about it? How are we going to manage it? How are we going to fix things? Is AI going to get out of hand or not? I think it’s a very interesting space, which brings me to my question of why I’m writing this post.

I think it’s time, however you want to say it, that we have local models, and if OpenAI crashes, and if it crashes, it’s going to cause a whole lot of issues with others as well, et cetera and so forth. But I think we should have local models run rather than hosting our data on the cloud and so forth. Anyways, just my two cents of rant.

</rant>

I’ll tell you, I’m no expert. But I keep thinking about the time when I was young, and I was playing around with computers, and I was given a file. It was just one file. Sometimes it was a .exe file, sometimes a .com file, sometimes a .zip file, whatever, and you were told to run it. When we ran it, the file exploded into many, many other files, opened up, and other directories came out, and many other things came out. They started expanding more and more, and something that was at that time, let’s say, 10 megabytes bloomed out to be something like, I don’t know, 200 megabytes, and then this entire program could be started, et cetera.

So I think about our universe expanding constantly, and we ask ourselves, are we in a civilization? Are we in a simulation? Is our civilization a simulation? We are expanding, and we are doing this thing. Where did we come from? What is the Big Bang? What if the Big Bang was a computer simulation? The part where you insert a file into a computer or a diskette into a computer or whatever it is, and you hit enter, and boom, it starts. It starts making these planets and expanding and gases and hot gases and randomness, et cetera, and the special formulas in that expansion that will then create galaxies and stars and nebulas and star systems and solar systems and black holes and so many things.

Then there are other people who get involved, and they are then allowed to run their simulations after a certain amount of time. It’s just like maybe Second Life has started. There are all these islands, and then you suddenly come claim, and then you start building. So everyone gets a solar system to build. There are some basic things. Someone says, okay, I’ll take Earth, and I’ll start building this, and they are building things, and suddenly we are civilizations. It’s an interesting idea, to say the least.

There was this part in Star Trek: The Next Generation where Moriarty was in the holodeck, and he learns how to escape. Captain Jean-Luc Picard was playing Sherlock Holmes, and he comes across Moriarty, and Moriarty learns about this holodeck, and he learns to escape from the holodeck onto the main thing. Then Captain Jean-Luc Picard basically brings him back into the holodeck and makes him escape, except this time he thinks he’s escaping, but actually what they’re doing is they’re taking the holodeck simulation and putting it into a small computer where an entire world is living. Moriarty is in that simulation thinking he’s in the free world, and he’s escaped the holodeck, and he’s escaped the Starship Enterprise, and so forth. But actually, what he’s doing is still living in a simulation unbeknownst to him.

The same thing happened with this Mission Impossible, the last one, where the entity was taken out and put into a flash drive, a living flash drive that has a simulation over there, and it’s living over there and so forth. It thinks it’s in the real world, but actually, it’s in a simulation. So what stops us from being that? What if we really are a simulation? What if we are like on a computer, you play Civilization or Second Life or something else, and that’s exactly what we are doing, and that’s exactly what we are playing. We are playing, and then someone has the ability to introduce currency and history and time and water and nuclear weapons and alien technology. That’s not alien technology. It simply is more updates and mods being brought into the simulation, into the civilization.

That’s just what I wanted to share. I thought that was interesting.

What it does is break a PDF down into Markdown while trying to preserve the information and structure inside it. The impressive part is that it is not limited to reading lines of text. It is designed to handle tables, diagrams, flows, graphs, and other visual elements that ordinary OCR can easily flatten or misinterpret.

That distinction matters. A PDF is often not just a sequence of sentences. It can be a report with a table, a diagram explaining a process, a chart carrying the actual argument, or a page whose meaning depends on how all of those pieces fit together. Unlimited OCR is interesting because it appears to understand that document-level context rather than simply extracting isolated characters.

It runs locally, like a local model on your laptop. The download is not tiny, and I had roughly 6 GB in mind while setting it up, but I like the idea of being able to process documents locally instead of sending everything to a remote service.

The first setup was a little difficult for me. At one point I thought it had stopped working, when it was probably still doing something in the background. Once it was running, though, the results were impressive.

It also has a practical advantage for working with AI assistants. If you convert a complex PDF into clean, structured Markdown first, you can give the model a much more useful representation of the source. That can mean fewer repeated image uploads, less wasted context, and fewer tokens spent trying to reconstruct the document’s layout from scratch.

I am still playing with it, so I am not going to pretend it is perfect. But it is very good at the part that matters: understanding the document well enough to turn it into usable Markdown without losing the relationships between the text, tables, diagrams, and other elements.

Worth checking out:

• Unlimited OCR on GitHub

There were a few use cases shown, and this was one of them: The Impact No. 01, a mechanical document editor.

I clicked on it and, wow. I do not know what it does under the hood, to be very honest. I have not explored it deeply yet. But as an object, as an interface, as a thing sitting inside the browser, it is just beautiful.

You can assemble the machine. You can switch into a cutaway view and see the mechanism. You can inspect it, turn on the sound, and type on your computer while hearing the keys hit. The mechanical parts move, the page responds, and suddenly writing feels physical again.

That is what struck me. We spend so much time inside flat, silent, disposable interfaces that when something like this appears, it reminds you that software can still have craft. It can have mood. It can make the machine feel present again.

I still need to spend proper time with Kimi Swarm and understand what it is trying to become. But this particular use case is worth seeing, even if only for the sheer beauty of the experience.

Useful links:

• Kimi
• The Impact No. 01 mechanical document editor

It is called book-to-skill, and it turns technical books, PDFs, document folders, and collections of sources into reusable agent skills.

A skill is basically a set of instructions and reference material that an AI agent can load when needed. When you invoke the skill, you are telling the assistant: this is the subject matter, this is the domain, and this is the expert frame you should use.

You could have a skill for copywriting. A skill for legal analysis. A skill for drafting rental agreements. A skill for accounting. A skill for chemistry. A skill for anti-money laundering. There are so many use cases once you understand the pattern.

Now imagine you are a marketer, a salesperson, an accountant, a chemist, a compliance person, or a specialist in any field. In your field, there are books. There are manuals. There are technical PDFs, white papers, product documents, research papers, training guides, and internal notes.

That is where book-to-skill becomes interesting.

You can take material you have the right to use, such as books you bought, public documents, open materials, company documentation, or technical manuals, and convert that knowledge into a skill. Instead of dumping a giant PDF into a chat every time, the skill becomes structured reference material that can be invoked when needed.

For example, let us say you are an anti-money laundering expert. You could take a large AML training manual, convert it into a skill, and suddenly you have a reusable knowledge layer around that material. You can invoke it when you are working, asking questions, drafting, reviewing, or thinking through a compliance issue.

You could do this with one book. You could do it with ten books. You could do it with a collection of manuals and papers. The point is not that the AI magically becomes perfect. The point is that you are giving it a structured, domain-specific body of knowledge to work from.

That is powerful.

The project is open source, available on GitHub, and it had about 28.7k stars at the time I wrote this. Try it with a book, manual, or PDF you know well and see how it changes the way you work with an AI assistant.

Useful link:

• book-to-skill on GitHub

Watch The Third Industrial Revolution on YouTube

Rifkin even explains in the talk why he calls it the third industrial revolution, not the fourth. It was made around the 2016-2017 time frame, and it remains one of the most beautiful talks I have seen.

So much of what he says feels like it is coming into play now, especially around energy markets, infrastructure, entropy, and the Second Law of Thermodynamics. That is not something you hear often in a broad public talk about the future of the economy. You really have to sit with it and listen.

His delivery is fantastic. I am not joking when I say I have watched this more than 20 times. Not five minutes here and there, but the entire feature-length talk. Every time I watch it, I learn something new, or I connect with something he said in a different way.

I wish we had more of this kind of learning while growing up. Instead of doom scrolling through silly TikTok ads, Instagram posts, and disposable feeds, sit down and listen to people like Rifkin for an hour. It changes how you think. It gives you more room for critical thinking. It gives you a better way to understand where the future may be going.

It is a fantastic thought piece, a lecture, and a full delivery of an idea. I wish more people would watch it.

DHH is David Heinemeier Hansson, co-owner of 37signals and the creator of Ruby on Rails. He is also the creator of Omarchy, and you can feel his taste all over it. This is not a neutral Linux install. It is opinionated, polished, and clearly built around a certain idea of how computing should feel.

The video that made it click for me was this one by NetworkChuck:

Watch the NetworkChuck video on YouTube

There is also this detailed NetworkChuck video showing Omarchy in use. This is the kind of walkthrough that makes the whole thing feel less theoretical and more like something you can actually install, touch, break, fix, and enjoy.

Watch the detailed Omarchy video on YouTube

And here is another useful one: 50 Tips after You Install Omarchy. Once you have Omarchy running, this is exactly the kind of practical follow-up video that helps you get comfortable with the environment.

Watch 50 Tips after You Install Omarchy on YouTube

The video is really well done. It made me understand what Omarchy is, and now I cannot wait to put it on some old machine and run it. There is something about this whole thing that brings back the beautiful side of computing and the internet for me. It feels playful again. It feels like tinkering again. It feels like the machine is yours again.

Also, if you search for DHH on X and look at the people interacting around Omarchy, you can see how much activity has suddenly appeared. Plugins, discussions, setups, screenshots, and people trying things out. The whole Omarchy Linux arena feels alive right now.

Suddenly, internet and computing is beautiful again.

Useful links:

• Omarchy official website
• Omarchy on GitHub
• DHH on X
• NetworkChuck’s Omarchy video
• NetworkChuck’s detailed Omarchy walkthrough
• 50 Tips after You Install Omarchy

This is also why the payments business looks so different depending on where you stand. In Zurich, a stablecoin is a curiosity. In Istanbul, Buenos Aires or Lagos, it is a life raft, and the person buying USDT is not chasing a trade, he is trying to keep what he already earned. Anyone building cross-border rails should read this chart as a demand map. The countries at the bottom are exactly where the volume is, and exactly where the regulators are most nervous about it.

The repository is worth looking at because it includes templates for things like:

• Advisor Agreement
• Master Services Agreement
• Mutual Non-Disclosure Agreement
• One-Way Non-Disclosure Agreement
• Privacy Policy
• Terms of Use
• Data Processing Addendum for the U.S. and global use
• Cookie Notice

That is a pretty useful collection, especially for startups, small technology companies, and anyone who needs a starting point for standard legal documents. Of course, templates are not a substitute for legal advice, but having a well-structured starting point can still save a lot of time.

The repository is here:

https://github.com/General-Legal/legal-templates

The secret is patience, and then more patience. Go through the results slowly. If you take your time, you will find gold mines you may not have known existed. It is also worth noting that some people on X consistently post about these kinds of projects, so they may be worth following once you start recognizing the useful accounts.

I do not want to recommend anyone specific yet because I am still going through the process myself, but the method works. Go back through older results, even as far back as a year. It can take hours, but it is well worth the effort. You can also write better search queries over time to narrow the results and find more relevant projects.

The search I used was:

https://x.com/search?q=open%20source%20github&src=typed_query

Open the Instagram Reel

Sebastian Adams was a minister and an educator. He wanted to put the world’s events along a timeline so you could see what was happening sequentially across different parts of the world. For history buffs, and especially for visual learners, that is a very different way of understanding history. It turns dates and events into something you can actually look across.

The chart is oversized and follows civilization across time. It shows major events, including Noah, his three sons, and their offspring. The way it places different peoples, events, and even alphabetic languages side by side is really neat to look at.

This thing is huge. It is the kind of visual history piece that belongs unfolded on a wall, where you can keep noticing new things every time you walk past it. I am amazed by the quality of it. As a Christmas gift, this feels like one of those things people did not know they wanted until they received it.

You can buy the full hardback edition here:

Adams’ Chart of History by Sebastian Adams

Type any word and the results show up instantly. You can narrow things down by category, length, or even by which continent the recording came from. Every clip plays right in the browser. You can download it, or drop it into the built-in mixer and stack sounds on top of each other. The collection goes ridiculously deep.

You can find so many types of sounds there. Search for something as specific as a telex machine and you may be surprised by what turns up. You can thank the BBC sound engineers who recorded and preserved all of this.

The archive is free to explore and can be used for personal, educational, or research projects under the BBC’s licensing terms. For commercial use, check the licence first.

The archive is here:

https://sound-effects.bbcrewind.co.uk

BBC licensing information:

https://sound-effects.bbcrewind.co.uk/licensing