Why I Want to Break My YouTube Addiction, or Get It Under Control

by James Wallace Harris, 9/14/26

I love YouTube. If I’m not careful, I’ll watch it for four or five hours a day. And I’m not saying YouTube is all bad; it’s just so damn addictive. But YouTube also has tons of crapola content to avoid. If I mined more gold and less pyrite, I might feel better about being such an avid fanboy.

Is avoiding bad content my problem, my self-control, or can we blame content creators or even YouTube? Too many people see YouTube as a gold rush, especially after AI. They have no scruples seeking views and will do anything to capture our attention.

Either I figure out how to watch the best content and ignore the bad, or I’ve got to go cold turkey. Yet, what determines if a video is worth my precious time? Is it up to me, or could YouTube become its own Maxwell Perkins? What makes newspapers and magazines great aren’t just the writers, but the editors.

There are two approaches. First, identify the best and ignore the rest. Or I could keep pulling weeds until YouTube is a beautiful lawn for my mind.

Identifying the Best

  • Subscribe to channels produced by the best magazines. The Economist, The Wall Street Journal, The Atlantic, etc. This works for the pro content, but not the amateur.
  • Subscribe to channels with trustworthy human hosts. YouTube is fantastic because it allows anyone to create content. It’s open to amateurs. But somebody has to hold the hook.
  • Limit which topics to follow. My mind wanders, and YouTube leads it all over the universe.
  • Find the hosts that I’m convinced know what they are talking about.
  • Stick to sites that don’t waste my time.

Identifying the Worst

  • If it’s AI-generated, I pull the plug.
  • If they bury the lead. This drives me insane. I always back out when I realize this is happening.
  • They spend 30 minutes covering five minutes of information.
  • If they use AI photos or videos, or stock photos or videos that don’t match the narration. Or they use stock photos with watermarks.
  • If the human host is not qualified.
  • If the human host depends on AI slop.
  • If the thumbnail is deceptive.
  • If the title is deceptive.
  • If the channel is designed solely to sell something.
  • If the host is obviously an influencer.
  • If the reviews are paid for.
  • When AI is used instead of real photos. For example, all these images have famous actors in them, but you can’t recognize any of them.

Luckily, I pay for YouTube Premium Lite, so I don’t have to watch commercials. However, if I didn’t pay that toll, I’d probably never watch YouTube because of the insane bombardment of ads.

I Wish YouTube Would …

  • Have something like a “get the hook” button. Meaning, never show me this channel again.
  • And if I’ve used the hook, let YouTube’s AI deep-six anything like that again.
  • Switch/setting that filters out pure AI content.
  • Strict rule requiring all AI-generated video to be clearly watermarked.
  • A method that allows viewers to report misinformation.
  • Hire human editors who reject shitty content. Basically, YouTube is one vast slushpile that everyone is reading. Hire some editors who can tell content providers they suck and should try harder.
  • Go ahead and use AI to recognize the content I value and reject what it knows I will hate. Potentially, this could make YouTube irresistible.

YouTube is Changing

A Few Examples I Admire

Just Josh is an A+ site for laptop reviews. I post this video because Just Josh has problems with YouTube too. Much of what makes content bad for viewers also makes YouTube bad for creators.

Listen to how he’s going to combat AI. It’s a case of fighting fire with fire. I like that. AI search engines and AI YouTube slop are killing his channel. His approach is to use AI to make his channel even more useful to humans.

I admire CBS Sunday Morning, but I seldom watch broadcast TV. Using YouTube to catch the best of broadcast TV makes watching YouTube more valuable. It’s funny to contrast the professionals at CBS with amateur YouTube content creators reporting on the same information.

My opinions sync well with the science fiction book reviews by Bookpilled. YouTube channels don’t have to be by world-class experts. Just people you trust.

Useful Charts has a highly unique focus. Matt Baker explains history using charts. It’s very effective.

Usagi Electric focuses on rebuilding old computers. This is rather esoteric. But that’s a significant virtue of YouTube: finding the esoteric topics you’re interested in.

Python Programmer promotes learning. I have no idea what his credentials or educational background involve, but I’ve come to trust him. YouTube allows anyone to teach. It would be great if the system had a way to validate what’s being taught for accuracy, but I don’t see how that’s possible. We all have to decide for ourselves. There are too many channels where I’m wary of the host.

AstroBackyard is a channel devoted to astrophotography. This is a hobby I wish I had, but I don’t for many reasons. I live vicariously through his videos. There are many YouTube creators who I wish I could be like.

Pop Goes the 60s is a great example of an amateur expert. His videos are well done, well researched, and worth their length.

Pete Beard has cornered the market on videos about old book and magazine illustrators. His little videos are beautiful and instructive. It’s an extremely narrow focus, but he does it so well.

I could list dozens of more channels I follow. I don’t want to point to channels that annoy me. I don’t really want to pick on people. Some creators are well-intentioned but lack ability. Others use every trick in the book to get views because they dream of giving up their day jobs and becoming rich. This type has exploded since ChatGPT.

And don’t get me wrong, some people can wring some amazing content out of AI. But so much of it is horrible. On the other hand, what will happen when AI gets so good that anyone – and I mean anyone, even a five-year-old kid asks an AI to create a 30-minute professional quality video for YouTube that will get a million hits, and the AI does it?

One reason I want to reject AI content is not that I’m prejudiced against AI, but because I enjoy seeing what humans can do. YouTube is a wonderful venue for that, but it needs some kind of control. I wonder if a voting system like the one on IMDb.com? I find that any movie or TV show that gets a 7.0 or higher rating is something I’m likely to enjoy. But there is a technical issue. I watch YouTube on my television. How would I enter the rating?

I don’t know if YouTube has any incentive to help its viewers find better content. It’s already the most popular streaming service.

If I can’t learn to discipline my YouTube addiction, I will have to give it up. Yesterday I didn’t watch any YouTube, and I got so much more done. Today, I watched a little and still got a lot done. That’s a good sign.

JWH

Will Greed Destroy AI?

by James Wallace Harris, 9/4/26

Companies are spending trillions to win the AI race. They believe they will make back their investments and go on to earn trillions. That assumes people are willing to pay for AI. Millions of people are already using AI, hoping to make their fortunes. However, in all cases, for AI to win money, humans have to become economic losers.

This is already causing a backlash. As internet-addicted doomscrollers spend more time and dollars, they are encountering more AI content. Most consider this content AI slop.

Whether you consume news, fiction, music, video, advice, education, philosophy, religion, or even porn, do you really want that content created by AIs?

Yesterday I found a wonderful video of a kitten running in slow motion through the grass. I liked it so much I shared it on Facebook. Then the algorithm showed me several more like it. I thought the first one was real. But after seeing the others, I figured they were AI-created. I was disappointed. Artificial kitten cuteness felt like a con.

I used to enjoy videos of two species of wild animals playing together. Thinking that animals don’t always eat one another was very uplifting. But then these videos became a trend. Now I don’t know if wild animals actually play together. The AI videos make me doubt all animal videos.

The new trend on Facebook and Instagram is AI-generated sexy women. I think real women began the trend on those sites, offering teasers to get guys to find them on OnlyFans. But then real women were replaced by AI women directing users to porn sites. I didn’t follow those links, but I wondered if porn is being replaced by AI too. Will greedy folks with AIs put real humans out of sex work?

My gut reaction is to quit social media. If it’s going to be overrun by greedy people trying to make a buck using AIs, I want to walk away.

I’m already seeing fans of music and books protest AI content. There are young protestors on YouTube advising people to return to the analog world. And one piece of advice is interesting. Buy old stuff. That’s because the only way to know if content was created by AI is to buy content created before AI.

There’s been a flood of websites, YouTube channels, games, novels, albums, software, and other creative content produced in the last year simply because AI lets almost anyone create impressive results.

And some of the AI-generated art is impressive. I love fiction and music. What if AI creates novels and songs I love more than the books and albums I loved over my lifetime?

Doesn’t The Catcher in the Rye move me because J. D. Salinger wrote it? I just read a biography of Salinger, and I love his stories even more. Isn’t On the Road great because Jack Kerouac lived it? Aren’t the songs on Highway 61 Revisited meaningful because Bob Dylan composed the music and lyrics?

What if ChatGPT, Claude, or Gemini produced an album that impressed me more than Blonde on Blonde? Is it brilliant because of a machine’s insight?

People who want to make money using AI only want to make money. They aren’t struggling to be creative themselves. As everyone discovers this, I think their greed will destroy AI.

I’m reading How to Rule the World: An Education in Power at Stanford University by Theo Baker. It’s a fantastic book. Stanford is where kids who want to become billionaires go to college. In one of Baker’s classes, the students were asked to raise their hands if they were concerned with ethics when planning the inventions that could make them rich. Only Baker raised his hand.

The people and corporations spending trillions on AI don’t worry about ethics either. Baker’s book shows that so many of these tech bros who claim to love science and technology are really seeking money and power. I got into computers because I loved computers. I assumed a book about the brightest kids going to Stanford would be about kids who loved computers too. But what they really love is money.

This new generation of greed seems inspired not by technology but by billionaires. There are genuine reasons to create AIs, but greed isn’t one of them. It’s like the gold fever of 1849.

For the companies spending trillions on AI to make the money they desire, tens of millions of ordinary people have to become poor. AI might produce another 1,000 billionaires, but it will also create tens of millions of unemployed. Do we really want to back that kind of greed?

I assume most people will say no, and the AI industry will collapse.

But I could be wrong.

JWH

I’m Studying All Wrong

by James Wallace Harris, 8/17/26

I read a couple dozen great nonfiction books each year. While I’m reading those books, I feel like I’m learning a tremendous amount of new information. But just a few days after I finish each one, all that information slips away. That pisses me off.

Yesterday, I watched a video, “The Math Secret Top Students Never Share – Learn So Fast It Feels Illegal.” It explained why I don’t retain information. Basically, if you don’t apply what you study, it disappears. The video is about studying math, but I realize it applies to everything.

I enjoy learning, but I’m not very big on doing. For example, I’m studying J. D. Salinger at the moment. I’m reading biographies, watching documentaries, and reading his fiction. Eventually, I’ll summarize everything in a blog. But that’s not applying the information. Unless I were an English professor submitting articles to academic journals, I don’t have any reason to apply that information.

I’m also studying the programming language Python so I can create animations that will illustrate Euclid’s Elements. However, I’m putting so little time into learning Python that I’m not getting the kind of practice that will help me remember it.

I feel I’ve accomplished a fair amount by installing Python, Visual Studio Code, Homebrew, UV, and Manim, and getting them working together in a virtual environment that doesn’t conflict with my Mac’s version of Python. I can even get Gemini AI to write programs that produce Manim animations.

However, I didn’t write the code; Gemini did. I’d like to know how to do it myself, so I started working my way through Python Crash Course, 3rd edition, by Eric Matthes. I’ll also need to learn Manim.

Here’s where the video about the secrets of studying Math comes in. Reading the books and documentation won’t cut it. I need to spend months practicing what I learn to get up to speed before I can even begin programming my own animations.

At 74, I only have so much physical and intellectual energy to expend each day. To learn enough Python to use the Manim library could take months. I would probably have to jettison all my other interests.

And that points to a failing personality trait that I’ve dealt with my whole life. I can never fully commit to anything and stick with it. I have too many interests I chase after.

I can study the common way people study math in that video, but not the way smart students study. That’s how I got through school and college. I studied enough to pass tests. I never pursued the kind of regular practice that video promotes. I was able to be a programmer at work because I did it all day long. But I’ve never been able to pick a hobby that I’ll work at all day long.

I’m at a crossroads. At 74, I need to decide if I’m capable of changing. Or just accept that I’m a bookworm and not a student. I hate to give up, but there’s a certain reality to aging.

It’s easy to read books and watch TV. I can do that all day long. I’m well trained for it. I’ve put in my 10,000 hours.

However, I can imagine being on my deathbed and regretting that I didn’t stick with any of the hobbies I fantasize about pursuing.

If I worked hard, spending four hours a day studying Python and Manim, I’d get my 10,000 hours in about 6.8 years. But here’s where my Hamlet complex cuts in. Is Python/Manim the single project I want to pursue over all my other interests?

Some of you might say I’d have plenty of time to pursue other interests if I apply myself to my main interest for four hours a day. But working at anything for four hours would drain me. I’m not even sure I could apply myself for four hours. I think there’s a reason why most old people aren’t that productive.

But there’s something else to consider. I’ve already put in my ten thousand hours writing blogs. I could work harder at that. I could specialize in analyzing short stories, something I’ve been doing for a while now. I could practice to get much better at that. Or even writing short stories.

Maybe Python and Manim are the diversion?

But after watching that video, I realize I need to work on applying myself to something, rather than just being an information consumer.

JWH

Will AI Grifters Push Everyone Back to the Analog World?

by James Wallace Harris, 7/12/26

Rebecca Jennings, writing for the Intelligencer at New York Magazine, tells about how Zuhair Lakhani has created an army of AI tech influencers to promote your online product. This really bums me out. I knew that companies paid people to promote their products through fake reviews, social media testimonials, and endless scams. But the idea of armies of AI-generated agents putting all those desperate humans dreaming of making a quick buck out of work is even more depressing.

Grifters are scummy, but AI grifters are enough to make me go analog.

Using AI to automate the worst of being online is a bridge too far for me. Humans should create AI buyers to pretend to buy from all the AI sellers.

In October, Lakhani announced Doublespeed and claimed it was the only venture-capital-backed bot farm in America when he received an investment from Andreessen Horowitz, also known as a16z. “Because why let Russia and China have all the fun?” Lakhani asks in his launch video, in which he peels a digital mask off a pretty young woman’s face to reveal his own, sitting in front of a green-lit stack of phones, a cyberpunk set for an explicitly bleak vision. “Never pay a human again,” reads Doublespeed’s website, which advertises the ability to create AI personas on TikTok like a 62-year-old mother in Phoenix or a Gen-Z skater in Atlanta who will then post about your product. The investment was part of a16z’s three-month Speedrun accelerator program, in which young founders with start-up ideas can receive investments up to $1 million from the firm. Peers included “the world’s first AI-powered credit card,” the “world’s largest Netflix-quality AI streaming platform,” and a “Bible-based AI buddy,” which together formed what the tech publication 404 Media called an “AI-generated hell on earth.”

There is so much about the internet I love, but enshitafication is happening faster than I can try to stay cheerful and positive.

I also love watching YouTube, but AI is ruining it, too. I love learning from little documentaries, but it drives me bonkers when supposedly historical “facts” are illustrated with obviously fake photos. I know much of YouTube is created by lone creators, who don’t have the resources of professional documentary makers. But if you don’t have actual photos or videos that match your subject, please don’t generate AI slop. It just makes me cringe.

And I’m so tired of all the natural healthcare testimonials on Facebook and Instagram. If there were easy cures for all those ills, those ills wouldn’t exist.

This is one area where AI is helpful. I’ve found that if you take any claim for a natural remedy and give it to an AI, it will debunk it or explain why the claim has limited positive effects.

The internet is being ruined by greed, hate, delusion, lies, and people trying to validate their personal beliefs by brainwashing others to believe the way they do. It’s all grifting.

AI makes it much too easy for people to become grifters.

Is there any way to fix the internet? I’ve wondered if we should start over with another internet where every user has to be validated with something like a RealID. Leave the old internet in place for people who like to hang out on the dark web and be anonymous, but create another web where every packet has a validated user.

What would the Internet be like if every IP address had a validated user ID attached to it?

For now, I’m just going to start avoiding anything that smells fake, even if it looks fun. If the Internet continues to enshitify, then I’ll go back to the analog world.

JWH

Are We Witnessing a New Age of Computing?

by James Wallace Harris, 6/2/26

When I first took computer classes in 1971, the school’s main computer was an IBM 360. That represented The Age of the Mainframe. At the time, The Age of the Minicomputer was coming into being. But what I fondly remember is The Age of the Personal Computer developing at the end of the 1970s. Back then, they were called Microcomputers, but that’s a weird term to use now, considering how small computers have gotten with smartphones and smartwatches.

I remember the Internet coming to my university in the 1980s and the World Wide Web in the 1990s. Each new technology ushered in a new age for society. Sometimes it’s not new technology, but how it’s used, such as social media and cloud computing. The web has been transformed several times by new coding languages and techniques.

We’re now a few years into The Age of Artificial Intelligence, but I’d say it’s only at the stage of 8-bit computers back in the late 1970s. Yesterday, Nvidia announced a new line of laptops using the RTX Spark chips. They will run Windows. In some ways, this is just Microsoft catching up to Apple when it dropped Intel and switched to the M1 chips.

Windows and all its apps will have to be rewritten and recompiled for the new Nvidia chips. Apple and its app developers had to do the same thing. But how many people will buy these machines? Apple transformed itself and the industry by moving to RISC chips. Is this what Microsoft plans to do, too?

How many people will buy these new Nvidia machines? The current DGX Spark machines run $3,600 – $5,000. That kind of money is reasonable if you’re trying to set up local AI compared to custom-building a PC with high-end graphics cards. And configuring a Mac with 128 GB of memory runs as much.

Are we looking at a new age of personal computers with 128 GB to 1 TB of memory? How many people will spend $5,000 to $10,000 or more on such machines? Especially now that Apple has created a growing market for $599 computers?

Is computer technology evolving past personal computing? I’m typing this on a Mac Mini M4, which I paid $549 at Amazon. It does everything I want. It’s completely quiet and so fast that I no longer worry about speed.

How many individuals are willing to spend $5,000 to have a private AI? Currently, most people use the online frontier model AIs for free or $20 a month. At $20 a month, you can use the latest frontier model AI for 250 months for $5,000. Open source AI models that can run on 128 GB are getting pretty damn good, but still not as good as the frontier models.

I can understand businesses wanting to keep their data private and using local AI. But what do individuals have that they need to keep secret? Generating porn? Running internet scams? Does that great American novel you’re writing need to be hidden from AIs?

When Apple came out with the MacBook Neo, I wondered if they were killing their own market for MacBook Airs? I’d say 90% of their users would be happy enough with the $600 machine instead of springing for the $1200 machine. Hell, there are a lot of people buying the more expensive MacBooks that don’t need anything more powerful than the Neo.

I have an M1 MacBook Air and feel no need to upgrade.

Computers became fast enough years ago for the average user. Most families gave up desktops, and unless you’re a student or need a computer for work, you don’t even need a laptop. Many of my friends do all their computing on a phone or tablet. And most of my friends who do use AI use it from their phones.

Many economic pundits talk about an AI bubble. Already, corporations are pulling back from building all those billion-dollar data centers they had planned last year. There are countless scientific, medical, and business tasks for those new RTX Spark chip computers. But do we need that power for personal computing? Especially when the average Joe is better off spending $20 a month for Gemini.

No one needs an Nvidia computer to run Microsoft Office. And only a small percentage of users subscribing to Adobe’s Creative Suite will need one. There are high-end applications for such computers, but how many are used in people’s homes?

How many Apple users really need the Pro, Max, and Ultra versions of the M chips? How many M4 users really need to upgrade to the M5?

There might be two new ages of computing dawning. The Age of Its Fast Enough Computing, and The Age of Its Never Fast Enough Computing.

And with every year, the percentage of Its Fast Enough users will grow ever closer to 100%.

If data centers weren’t jacking up the price of memory and storage, we’d be seeing fantastic $300 computers for sale everywhere. Ones that were more than good enough for most people.

JWH