Are Podcasts Wasting Our Time?

by James Wallace Harris, 11/16/25

While listening to the Radio Atlantic podcast, “What If AI Is a Bubble?,” a conversation between host Hanna Rosin and guest Charlie Warzel, I kept thinking I had heard this information before. I checked and found that I had read “Here’s How the AI Crash Happens” by Matteo Wong and Charlie Warzel, which Rosin had mentioned in her introduction.

Over the past year, I’ve been paying attention to how podcasts differ from long-form journalism. I’ve become disappointed with talking heads. I know podcasts are popular now, and I can understand their appeal. But I no longer have the patience for long chats, especially ones that spend too much time not covering the topic. All too often, podcasts take up excessive time for the amount of real information they cover.

What I’ve noticed is that the information density between podcasts and long-form journalism is very different. Here’s a quote, five paragraphs from the podcast:

WarzelThere’s a recent McKinsey report that’s been sort of passed around in these spheres where people are talking about this that said 80 percent of the companies they surveyed that were using AI discovered that the technology had no real—they said “significant”—impact on their bottom line, right?

So there’s this notion that these tools are not yet, at least as they exist now, as transformative as people are saying—and especially as transformative for productivity and efficiency and the stuff that leads to higher revenues. But there’s also these other reasons.

The AI boom, in a lot of ways, is a data-center boom. For this technology to grow, for it to get more powerful, for it to serve people better, it needs to have these data centers, which help the large language models process faster, which help them train better. And these data centers are these big warehouses that have to be built, right? There’s tons of square footage. They take a lot of electricity to run.

But one of the problems is with this is it’s incredibly money-intensive to build these, right? They’re spending tons of money to build out these data centers. So there’s this notion that there’s never enough, right? We’re going to need to keep building data centers. We’re going to need to increase the amount of power, right? And so what you have, basically, is this really interesting infrastructure problem, on top of what we’re thinking of as a technological problem.

And that’s a bit of the reason why people are concerned about the bubble, because it’s not just like we need a bunch of smart people in a room to push the boundaries of this technology, or we need to put a lot of money into software development. This is almost like reverse terraforming the Earth. We need to blanket the Earth in these data centers in order to make this go.

Contrast that with the opening five paragraphs of the article:

The AI boom is visible from orbit. Satellite photos of New Carlisle, Indiana, show greenish splotches of farmland transformed into unmistakable industrial parks in less than a year’s time. There are seven rectangular data centers there, with 23 more on the way.

Inside each of these buildings, endless rows of fridge-size containers of computer chips wheeze and grunt as they perform mathematical operations at an unfathomable scale. The buildings belong to Amazon and are being used by Anthropic, a leading AI firm, to train and run its models. According to one estimate, this data-center campus, far from complete, already demands more than 500 megawatts of electricity to power these calculations—as much as hundreds of thousands of American homes. When all the data centers in New Carlisle are built, they will demand more power than two Atlantas.

The amount of energy and money being poured into AI is breathtaking. Global spending on the technology is projected to hit $375 billion by the end of the year and half a trillion dollars in 2026. Three-quarters of gains in the S&P 500 since the launch of ChatGPT came from AI-related stocks; the value of every publicly traded company has, in a sense, been buoyed by an AI-driven bull market. To cement the point, Nvidia, a maker of the advanced computer chips underlying the AI boom, yesterday became the first company in history to be worth $5 trillion.

Here’s another way of thinking about the transformation under way: Multiplying Ford’s current market cap 94 times over wouldn’t quite get you to Nvidia’s. Yet 20 years ago, Ford was worth nearly triple what Nvidia was. Much like how Saudi Arabia is a petrostate, the U.S. is a burgeoning AI state—and, in particular, an Nvidia-state. The number keeps going up, which has a buoying effect on markets that is, in the short term, good. But every good earnings report further entrenches Nvidia as a precariously placed, load-bearing piece of the global economy.

America appears to be, at the moment, in a sort of benevolent hostage situation. AI-related spending now contributes more to the nation’s GDP growth than all consumer spending combined, and by another calculation, those AI expenditures accounted for 92 percent of GDP growth during the first half of 2025. Since the launch of ChatGPT, in late 2022, the tech industry has gone from making up 22 percent of the value in the S&P 500 to roughly one-third. Just yesterday, Meta, Microsoft, and Alphabet all reported substantial quarterly-revenue growth, and Reuters reported that OpenAI is planning to go public perhaps as soon as next year at a value of up to $1 trillion—which would be one of the largest IPOs in history. (An OpenAI spokesperson told Reuters, “An IPO is not our focus, so we could not possibly have set a date”; OpenAI and The Atlantic have a corporate partnership.)

Admittedly, the paragraphs in the article are somewhat longer, but judge them on the amount of facts each presents.

Some people might say podcasts are more convenient. But I listened to the article. I’ve been subscribing to Apple News+ for a while now. I really didn’t use it daily until I discovered the audio feature. And it didn’t become significant until I began hearing major articles from The New Yorker, The Atlantic, and New York Magazine.

Whenever I listened to a podcast, including podcasts from those magazines, I was generally disappointed with their impact. Conversational speech just can’t compete with the rich informational density of a well-written essay. And once I got used to long-form journalism, the information I got from the internet and television seemed so damn insubstantial.

These magazines have spoiled me. I’m even disappointed with their short-form content. Over my lifetime, I’ve watched magazines fill their pages with shorter and shorter content. Interesting tidbits came to magazines long before the internet appealed to our ever-shortening attention spans.

As an experiment, I ask you to start paying attention to the length of the content you consume. Analyze the information density of what you read, either with your eyes or ears. Pay attention to the words that have the greatest impact. Notice what percentage of a piece is opinion and what percentage is reported facts. How are the facts presented? Is a source given? And when you look back, either from a day or a week, how much do you remember?

What do you think when you read or hear:

According to one estimate, this data-center campus, far from complete, already demands more than 500 megawatts of electricity to power these calculations—as much as hundreds of thousands of American homes. When all the data centers in New Carlisle are built, they will demand more power than two Atlantas.

Don’t you want to know more? Where did those facts come from? Are they accurate? Another measure of content is whether it makes you want to know more. The article above drove my curiosity to insane levels. That’s when I found this YouTube video. Seeing is believing. But judging videos is another issue, but that’s for another time.

JWH

Reading With a Purpose

by James Wallace Harris, 11/12/25

I used to keep up with the world by watching NBC Nightly News with Lester Holt, reading The New York Times on my iPhone, and bingeing YouTube videos. I felt well-informed. That was an illusion.

I then switched to reading The Atlantic, New York Magazine, The New Yorker, and Harper’s Magazine. I focused on the longer articles and developed the habit of reading one significant essay a day. That has taught me how superficial my previous methods were at informing me about what’s going on around the world. Television, the internet, and newspapers were giving me soundbites, while articles provide an education.

However, I still tend to forget this deeper knowledge just as quickly. I don’t like that. I feel like I learn something significant every day. What I’m learning feels heavy and philosophical. However, it drives me nuts that I forget everything so quickly. And I’m not talking about dementia. I think we all forget quickly. Just remember how hard it was to prepare for tests back in school.

I’ve watched dozens of YouTube videos about study methods, and they all show that if you don’t put information to use, it goes away. Use it or lose it. I’ve decided to start reading with a purpose.

At first, I thought I would just save the best articles and refer to them when I wanted to remember. That didn’t work. I quickly forget where I read something. Besides, that approach doesn’t apply any reinforcing methods.

I then thought about writing a blog post for each article. It turns out it takes about a day to do that. And I still forget. I needed something simpler.

I then found Recall AI.

It reads and analyzes whatever webpage you’re on. Providing something like this for today’s article by Vann R. Newkirk II, “What Climate Change Will Do to America by Mid-Century:”

Recall allows me to save this into a structure. But again, this is a lot of work and takes a lot of time. If I were writing an essay or book, this would be a great tool for gathering research.

Recall is also great for understanding what I read. Helpful with quick rereading.

This morning, I got a new idea to try. What if I’m trying to remember too much? What if I narrowed down what I wanted to remember to something specific?

Within today’s article, the author used the term “climate gentrification” referring to neighborhoods being bought up because they were safer from climate change, and thus displacing poor people. The article mentions Liberty City, a poor neighborhood in Miami, with a slightly higher elevation, bought up by developers moving away from low-lying beachfront development.

I think I can remember that concept, climate gentrification. What if I only worked on remembering specific concepts? This got me thinking. I could collect concepts. As my collection grew, I could develop a classification system. A taxonomy of problems that humanity faces. Maybe a Dewey Decimal system of things to know.

I use a note-taking system called Obsidian. It uses hyperlinks to connect your notes, creating relationships between ideas. I could create a vault for collecting concepts. Each time I come across a new concept, I’d enter it into Obsidian, along with a citation where I found it. That might not be too much work.

I picked several phrases I want to remember and study:

  • Climate gentrification
  • Heat islands
  • Climate dead zones
  • Insurance market collapse
  • Climate change acceleration
  • Economic no-go zones
  • Corporate takeover of public services
  • Climate change inequality
  • Histofuturism
  • Sacrifice zones
  • Corporate feudalism

Contemplating this list made me realize that remembering where I read about each concept will take too much work. I have a browser extension, Readwell Reader, that lets me save the content of a web page. I could save every article I want to remember into a folder and then use a program to search for the concept words I remember to find them.

I just did a web search on “climate gentrification” and found it’s already in wide use. I then searched for “corporate feudalism,” and found quite a bit on it too. This suggests I’m onto something. That instead of trying to remember specifically what I read and where, I focus on specific emerging concepts.

Searching on “histofuturism” brought up another article at The Atlantic that references Octavia Butler: “How Octavia Butler Told the Future.” Today’s article by  Vann R. Newkirk II is also built around Octavia Butler. This complicates my plan. It makes me want to research the evolution of the concept, which could be very time-consuming.

The point of focusing on key concepts from my reading is to give my reading purpose that will help me remember. But there might be more to it. Concepts are being identified all the time. And they spread. They really don’t become useful until they enter the vernacular. Until a majority of people use a phrase like “climate gentrification,” the reality it points to isn’t visible.

That realization reinforces my hunch to focus on concepts rather than details in my reading. Maybe reading isn’t about specific facts, but about spreading concepts?

JWH

I Find This Very Disturbing

by James Wallace Harris, 11/7/25

I watched two YouTube videos yesterday that disturbed me. Both were about the impact of AI. The first was “How What I Do Is Threatened by AI” by Leo Notenboom. Leo has a website where he answers technical questions. He also makes videos about each problem. His traffic is down because many people are turning to AI to answer their technical questions. Leo eloquently discusses what this means to his business in this video. Asking AIs for help will impact many online companies, including Google. I already prefer to ask CoPilot to look something up for me rather than Googling it.

The next video was even more depressing. Julia McCoy reports “AI Just Killed Video Production: The 60-Second Revolution Nobody Saw Coming.” New tools allow anyone to produce videos featuring computer-generated people or cartoon characters who talk with computer-generated lip-synced voices. I’m already seeing tons of these, and I hate them. McCoy points out that old methods of video production required the skills of many different people, taking days, weeks, or months to produce. Those jobs are lost.

I love seeing little short videos on the web. I’ve always admired how ordinary people can be so creative. I saw YouTube and other sites giving millions of people opportunities to create a money-making business.

I’m often dazzled by computer-generated content. It is creative. But I don’t care about giving computers jobs. I admire people for their creative efforts.

Technology allowed millions of people to produce creative content. That was already overwhelming. I’m not sure if the world needs hundreds of millions of people with minimal ability producing zillions of creative works.

For example, I admire a handful of guys who review audiophile equipment. That handful does high-quality work. Then dozens of audiophiles produce so-so videos. I sometimes watch them, but usually not. Now, YouTube is flooded with videos reviewing audiophile equipment by computer-generated hosts with computer-generated voices, scraping information off the web, and using stock video for visuals. It sucks. It’s a perfect example of enshitafication and AI slop.

I’m not completely against AI. I ask AIs for help. I’m glad when AI does significant work. For example, just watch this video for 15 mind-blowing examples of AI successes:

However, we need to set limits. I love funny cat videos. But I don’t want to see funny cat videos generated by AI. I want to see real cats. If I watch a video of a pretty woman or a beautiful nature scene, I want to believe I’m seeing something that exists in reality. If I’m watching a funny cartoon, I want to know a human thought up the words and drew the pictures. Prompt engineering is creative, maybe even an emerging art form, but computers can generate infinities. Real art is often defined by limitations.

I admire people. I admire nature. Sure, I also admire stuff computers create, but when I do, I want to know that it was a work of a computer. Don’t fool with my sense of reality.

Sometimes, I do love doomscrolling. And I love watching YouTube videos for hours at a time. And I love wasting time on Facebook before going to bed. But all the AI sloop is spoiling it for me. What I really loved about all that content was admiring human creativity and natural beauty. I want to see the best, even if it’s produced by a computer. What spoils it is all the AI slop, poorly produced human-created content, and too much computer-produced content.

That’s why I’m returning to magazines. A magazine is limited in scope. Editors must curate what is put into the limited number of pages. Facebook, YouTube, etc., would be much better if they had editors.

I enjoyed TV the most in my life when there were only three channels. The best time in my life for music was when there were only two Top 40 AM channels. I liked reading science fiction far better when I just subscribed to The Magazine of Fantasy & Science Fiction, Galaxy, and Analog.

I’m not against AI. I’m just against too much of it.

JWH

Do You have Aphantasia or Hyperphantasia?

by James Wallace Harris

If you don’t know what aphantasia or hyperphantasia then you should read “Some People Can’t See Mental Images. The Consequences Are Profound.” by Larissa MacFarquhar in The New Yorker. Unfortunately, it’s behind a paywall, so I’m going to reiterate the high points to encourage you to find a copy. I highly recommend subscribing to the magazine or Apple News+.

The article is about a condition called aphantasia, one that I have. I wrote about that when I first discovered it in 2016. This new article by MacFarquhar describes the condition and its discovery in much greater depth than I have previously read. It also describes the opposite of this condition, hyperphantasia.

If you don’t know what aphantasia and hyperphantasia are, then you need to read this article if you have a certain kind of mindset such as artist or scientist, have trouble remembering the past, have difficulty recognizing faces, feel disconnected from your self, think you might be autistic, and many other personality traits that make you wonder if you’re different.

Aphantasia is the inability to remember mental images. Most people can close their eyes and recall a scene from their life. The face of a loved one, their desktop at work, the home they lived in as a child. About 2-3 percent of people can’t. But it turns out there all many degrees of not being able to see mental images, including some people who are overwhelmed with mental imagery. That condition is called hyperphantasia.

This article taught me a great deal about this condition I didn’t know. From my previous readings, I simplistically thought aphantasia meant one thing, but it’s not. For many people with the condition, they can’t remember their own past. I can. In fact, I’m obsessed with my past. I was particularly impressed what aphantasia did to artists and scientists.

I’m not like the extreme members of The Aphantasia Network or the people interviewed in the book Aphantasia: Experiences, Perceptions, and Insights by Alan Kendle. That’s comforting, but I still miss mental memories. Yet, I’m lucky. Some people have aphantasia so severe they can’t remember anything about their past, and they feel like living corpses.

For most of my life, I assumed everyone perceived reality pretty much the same if all their sense organs were healthy. Of course, I knew some people had better sight or hearing than others, but I assumed what we perceive was the same reality. That’s because I naively thought we observed reality directly.

I now know we don’t. Our senses are used to construct a model of reality inside our heads. And we all model reality differently. This is called our Umwelt. I highly recommend reading An Immense World by Ed Yong if you want to learn more about that.

MacFarquhar’s article explores how the ability to recall mental images affects our personality, memory, sense of self, and our Umwelt. When I first learned that I lacked the common ability to consciously recall mental images, I felt deprived. Some call it mental blindness. MacFarquhar suggests I would be a different person if I had what I missed. More than that, aphantasia affects people in various ways, and I could have been very different in other ways.

MacFarquhar begins her article by profiling Nick Wakins. He thought he was normal, but couldn’t understand why other people could remember their past and he couldn’t. He abstractly knew about his earlier life from what people told him and photographs. He started researching his condition and discovered that some 19th century scientists had discovered people like him. Then in the 1970s, psychologists again explored visual memory, but it didn’t go far.

In 2010 Adam Zeman and colleagues published research in Neuropsychologie about “blind imagination.” The journalist Carl Zimmer wrote an article for Discover magazine. That caused dozens of people recognizing the condition in themselves to contact Zeman. Zeman coined the term aphantasia with the help of a friend, and published “Lives without imagery–Cogential aphantasia” in Cortex in 2015.

That inspired an article in The New York Times and Zeman got around seventeen thousand emails. It was around this time that I heard about it and wrote my blog piece.

Zeman was now hearing about many related conditions that people claiming to have aphantasia experience. Since 2015 a tremendous wealth of research has gone into this topic, information I didn’t know about. Larissa MacFarquhar does a fantastic job of catching me up.

This article is as exciting as anything Oliver Sacks wrote about. He also had aphantasia. And it’s more than just visual memories. It also relates to being remember sound, smells, tastes, and touches.

We all peceive the world tremendously different.

Nick Wakins thought he was absolutely normal until he uncovered this research. Nick has a PhD. He didn’t know what he was missing until he researched how other people peceived. We seldom compare notes like that.

Melinda Utal had an extreme case of no past memory that is very sad:

One of Kendle’s interviewees was Melinda Utal, a hypnotherapist and a freelance writer from California. She had trouble recognizing people, including people she knew pretty well, so she tended to avoid social situations where she might hurt someone’s feelings. When she first discovered that she was aphantasic, she called her father, who was in the early stages of Alzheimer’s disease and living in a nursing home in Oregon. He had been a musician in big bands—he had toured with Bob Hope and played with Les Brown and his Band of Renown. She asked him whether he could imagine a scene in his head, and he said, Of course. I can imagine going into a concert hall. I see the wood on the walls, I see the seats, I know I’m going to sit at the back, because that’s where you get the best sound. I can see the orchestra playing a symphony, I can hear all the different instruments, and I can stop it and go backward to wherever I want it to start up and hear it again. She explained to her father what aphantasia was, how she couldn’t see images in her mind, or hear music, either. On the phone, her father started to cry. He said, But, Melinda, that’s what makes us human.

Melinda had an extremely bad memory for her life, even for an aphantasic. She once had herself checked for dementia, but the doctor found nothing wrong. She had become aware when she was in second grade that she had a bad memory, after a friend pointed it out. In an effort to hold on to her memories, she started keeping a journal in elementary school, recording what she did almost every single day, and continued this practice for decades. When, in her sixties, she got divorced and moved into an apartment by herself, she thought it would be a good time to look through her journals and revisit her younger days. She opened one and began to sob because, to her horror, the words she had written meant nothing to her. The journals were useless. She read about things she had done and it was as though they had happened to someone else.

MacFarquhar profiles many people for her long article, but I was particularly taken by two artists she interviewed. Sheri Paisley had aphantasia:

Among the e-mails that Zeman received, there were, to his surprise, several from aphantasic professional artists. One of these was Sheri Paisley (at the time, Sheri Bakes), a painter in her forties who lived in Vancouver. When Sheri was young, she’d had imagery so vivid that she sometimes had difficulty distinguishing it from what was real. She painted intricate likenesses of people and animals; portraiture attracted her because she was interested in psychology. Then, when she was twenty-nine, she had a stroke, and lost her imagery altogether.

To her, the loss of imagery was a catastrophe. She felt as though her mind were a library that had burned down. She no longer saw herself as a person. Gradually, as she recovered from her stroke, she made her way back to painting, working very slowly. She switched from acrylic paints to oils because acrylics dried too fast. She found that her art had drastically changed. She no longer wanted to paint figuratively; she painted abstractions that looked like galaxies seen through a space telescope. She lost interest in psychology—she wanted to connect to the foundations of the universe.

On the other hand, Clare Dudeney had hyperphantasia.

In talking to a friend of hers, an aphantasic painter who was one of Zeman’s research subjects, Clare had realized that she was the opposite—hyperphantasic. Her imagery was extraordinarily vivid. There was always so much going on inside her head, her mind skittering and careening about, that it was difficult to focus on what or who was actually in front of her. There were so many pictures and flashes of memory, and glimpses of things she thought were memory but wasn’t sure, and scenarios real and imaginary, and schemes and speculations and notions and plans, a relentless flood of images and ideas continuously coursing through her mind. It was hard to get to sleep.

At one point, in an effort to slow the flood, she tried meditation. She went on a ten-day silent retreat, but she disliked it so much—too many rules, getting up far too early—that she rebelled. While sitting in a room with no pictures or stimulation of any kind, supposedly meditating, she decided to watch the first Harry Potter movie in her head. She wasn’t able to recall all two hours of it, but watching what she remembered lasted for forty-five minutes. Then she did the same with the other seven films.

An interesting aspect of new research is showing that some people have aphantasia since birth, but others acquire it later in life, often due to a physical injury. Other reseach suggests that visual memory is better in children and women, and that many children might have hyperphantasia. I believe I did see mental images when I was young. And other studies suggest that taking drugs brings back the ability to create mental imagery. I can testify to that. I used to get great flashes of imagery when I got high. Other studies show that people repress the ability to create mental imagery because of psychological trauma. All of this makes me wonder if I could retrain myself to create mental pictures in my head.

It is quite common for people with aphantasia to dream with vivid imagery, although others claim their dreams are thin and dark. As I’ve gotten older, my dreams have become dark and shadowy. However, the other night I had a dream that was intensely vivid, bright, and colorful. I was even aware in the dream to a slight degree. I said to myself that I was in a dream and I couldn’t believe it was so damn real. It felt so real that I was afraid I couldn’t get back to my old life. I was on a street looking at buildings I didn’t know, and was worried that if I became stuck in the dream I wouldn’t know where to go. I was quite relieved to wake up.

Scientists who are very good at thinking abstractly often forget how to create mental imagery. And some even theorize that spending so much time reading and staring at words have ruined our capacity to create mental pictures.

At first I envied people with hyperphantasia until I read this:

Hyperphantasia often seemed to function as an emotional amplifier in mental illness—heightening hypomania, worsening depression, causing intrusive traumatic imagery in P.T.S.D. to be more realistic and disturbing. Reshanne Reeder, a neuroscientist at the University of Liverpool, began interviewing hyperphantasics in 2021 and found that many of them had a fantasy world that they could enter at will. But they were also prone to what she called maladaptive daydreaming. They might become so absorbed while on a walk that they would wander, not noticing their surroundings, and get lost. It was difficult for them to control their imaginations: once they pictured something, it was hard to get rid of it. It was so easy for hyperphantasics to imagine scenes as lifelike as reality that they could later become unsure what had actually happened and what had not.

I believe I’ve copied as much of this article as I ethically should.

I’m using this blog to encourage you to go read the article. I’m also encourage people to subscribe to magazines. If you want good information it costs. We need to get away from always assume information should be free. Free information on the web is corrupting our society. Subscribing to magazines supports the spread of better information.

My new effort at home schooling myself is to read one great article a day from magazines with solid editors. I look for articles that expand my mental map of the world. This one certainly has.

JWH

Why Was Last Night’s Dream So Damn Intense?

by James Wallace Harris, 10/14/25

Last night’s dream was epic. It was one of those dreams that was so intense that when I woke up, I was immensely thankful to be back in reality. The dream started out pleasant. Susan and I were with our friends Mike and Betsy. Maybe we were on vacation together. We kept seeing marvelous sights. I wish I could remember them. All I can remember is that the four of us went from scene to scene together. And then at some point, I realized I was in a “Can’t Find My Way Home Dream,” which I’ve written about before.

In recent years, my dreams have tended to be dark and murky, sometimes even black and white. But last night’s dream was in vivid technicolor. At times, the four of us found ourselves in dark places, outdoors, but mostly we strolled through touristy areas in broad daylight. However, some scenes were even more vivid. They were psychedelic, bright, and looked like something from Cirque du Soleil. We were having a good time. Then something changed.

I remembered we were in a dream and I tried to tell Susan, Mike, and Betsy, but they wouldn’t believe me. I knew it was a can’t find my way home dream. I’ve always been by myself in those dreams. They are very frustrating because I get lost and can no longer find my way home.

I tell Susan, Mike, and Betsy to stick close. I try to get us to all hold hands. I figure as long as we’re all together, I’d be okay. At one point, we’re in a store and Betsy wants to shop. I try to stop her, but she steps away. We lose sight of her. Then we think we see her, but we realize it’s not her, but someone who only looks like Betsy.

Then we lose Susan. I plead with Mike that we must stay together. He isn’t worried. My anxiety grows. I feel like I’m Kevin McCarthy in The Invasion of the Body Snatchers. I know Mike will disappear, too. And he does.

Now the dream shifts to the standard routine of the can’t find my way home dream. I run down streets hoping to find one I know. Things shift, and I’m in a mall again. I can’t find the exit. I enter a store and go to the back wall, hoping to find a door that leads outside. I find a door, but it’s into a back room. I look for another door. I find one, but it takes me to a smaller room. I discover there are no doors or windows. There are workmen in the room.

I tell them I need to tear a hole in the wall. They try to stop me. I start ripping away sheetrock and then wooden panels. Finally, I find the outside. I run out and see a vast, strange world. It’s bright and colorful, but nothing like this one.

That’s when I wake up. That’s when I always wake up.

My friend Mike has been having health issues, and that worries me. I lost my oldest friend Connell this year. I’ve known Mike and Betsy for forty-five years. I’ve known Susan for forty-eight years. So many people I’ve known have died. And nearly all my peers have been in and out of hospitals.

I assume the dream was generated from my anxiety over losing people. But it was so damn intense, so damn vivid, so damn emotionally overwhelming. It’s like my brain has a copy of Sora 2 built into it. Why did it put me in all those scenes? Who wrote the prompt?

I can’t remember the details now. They are just a blur in my memory. But in the dream, I felt like I was somewhere else. I’m an atheist. I don’t believe in an afterlife, but that dream made me wonder.

However, if that dream was anything like an afterlife, it would be overwhelming. Buddhists believe that when we die, our personality disappears, and our soul returns to an ocean of souls. I don’t think a human mind could handle that dreamworld for long.

The dream felt like I was in a giant pool of possibilities. That our brains are like ChatGPT and Sora 2 and can generate anything. That’s only words to you.

Whenever I wake up from these dreams, reality feels solid and real. I like that. It’s comforting. Aging is making me worry. Reality is starting to feel less solid. Like an acid trip, all we can do is ride it out.

JWH