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

Notes on the “Introduction” to A WORLD APPEARS by Michael Pollan

by James Wallace Harris, 6/3/26

When I was little, I pondered two philosophical questions that would make my head ache. The first was, “Why am I here?” The second, “Why isn’t there ‘nothing’ instead of something?” I don’t think the second question can ever be answered. Although I concluded as a kid that “nothing” can’t exist. If it could, we wouldn’t exist.

A World Appears: A Journey into Consciousness by Michael Pollan is resonating with me more than anything else I’ve read that tries to answer the first question. I’m reading the hardback while also listening to the audiobook. This forces me to go slow. But I’ve also decided to start over and take notes chapter by chapter.

This is my fourth attempt to take notes. I tried underlining in the Kindle edition. I tried using Obsidian. And I tried putting my notes into HTML. I want to be able to cut and paste text and to hyperlink to sources on the web. Using Obsidian or writing HTML code in a text editor was hindering me. So I decided to try collecting my notes in WordPress.

I find reading the Wikipedia entries for all the terms and people Pollan mentions helps me understand what I’m reading. I also feel I’ll eventually need to read the books mentioned, too.

Introduction: The Wager (pp. xiii-xxxv)

Christof Koch

With Koch at his side, Crick set out to explain how it is that a particular piece of brain tissue generates the feeling of being alive—the sense of a self in possession of subjective experience.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xiv). Penguin Publishing Group. Kindle Edition.

David Chalmers

The hard problem of consciousness

First, there were what he called the “easy problems” of consciousness, which included figuring out the workings of mental operations like learning, memory, discrimination, and perception. Not all that easy, but at least we had a proven scientific method for approaching such behavioral and cognitive functions in terms of specific measures of brain activity. And then there was what he memorably called the “hard problem” of consciousness: the puzzle of why any of these mental operations are accompanied by any conscious experience whatsoever. “Why doesn’t all this information-processing go on ‘in the dark,’ free of any inner feel?” he asked in a subsequent paper.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xv). Penguin Publishing Group. Kindle Edition.

The wager:

When the scientist and the philosopher met in Bremen in 1998, drinking together late into the night, Chalmers expressed doubt that the search for neural correlates would succeed in the foreseeable future, much less solve the hard problem even if it did. Koch, with the brashness of a young man backed by one of the most brilliant scientists of his time, proposed a wager: Within twenty-five years, we would find the physical footprint of consciousness in the brain, which he predicted would comprise a small set of specialized neurons responsible for subjective experience. The loser would deliver to the winner a case of fine wine.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xvi). Penguin Publishing Group. Kindle Edition.

Galileo’s Error by Philip Goth (Amz)

Ever since Galileo’s time, and at his urging, science has cordoned off the mind—or the soul, as it was then known—leaving it to the exclusive jurisdiction of the priests and poets. This was both a political move and a practical one—political because it would (Galileo hoped) avoid bringing the hammer of the Church down on the scientific enterprise, and practical because (as Galileo foresaw) more progress could be made in the investigation of nature by focusing on objective qualities that could be measured rather than on subjective qualities that could not. With a few notable exceptions along the way (I’m thinking of Sigmund Freud and American philosopher-psychologist William James), this approach toward the science of the mind endured well into the twentieth century. Take, for example, behaviorism, the school of thought that dominated psychology for most of the twentieth century; it refused to deal with interiority or, really, anything but measurable outward behaviors. In light of this history, Christof Koch and David Chalmers stand out as pioneers.

Pollan, Michael. A World Appears: A Journey into Consciousness (pp. xvi-xvii). Penguin Publishing Group. Kindle Edition.

The fact that consciousness can be altered by chemicals does not necessarily prove that consciousness is, at its core, a material phenomenon, but it would seem to lend at least some credence to the idea.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xx). Penguin Publishing Group. Kindle Edition.

Who won the wager?

Chalmers won the bet, by the way. During a ceremony I attended at a consciousness conference in New York City in June 2023, Koch graciously conceded and presented Chalmers with a case of Madeira.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xx). Penguin Publishing Group. Kindle Edition.

Integrated Information Theory (IIT) – Giulo Tononi

According to IIT, every such moment of consciousness shares the same five specific qualities: It is “intrinsic” (that is, it has an internal perspective); it is “composed” of many distinct phenomenal parts (think of the way the experience combines elements of perception, memory, feeling, imagination, etc.); it is “integrated,” or unified (these elements are joined together in a single experience at a time); it is “definitive” (it is this and not that, in other words); and it is “bounded” (it has an edge beyond which the conscious perception doesn’t go).

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xxii). Penguin Publishing Group. Kindle Edition.

I don’t pretend to understand all the complexities of IIT, and the math can get pretty abstruse, but it seems to me that the straightforward question posed to Koch in Zurich hasn’t been completely answered: Why should neurons organized and exchanging information in any particular way necessarily feel like something? Koch and Tononi, who teamed up to refine IIT, have offered in reply an application of sheer intellectual brute force: Information integrated in the prescribed manner doesn’t just generate consciousness or correlate with it—no, integrated information is consciousness, full stop. The two are identical. The theory is controversial, to say the least, and no one has yet figured out a way to prove or disprove it.

Pollan, Michael. A World Appears: A Journey into Consciousness (pp. xxii-xxiii). Penguin Publishing Group. Kindle Edition.

Global Workplace Theory (GWT, GNWT)

This theory contends that the brain consists of a great many modules, or networks, that spend most of their time processing information unconsciously—information from the sense organs, from the body, from memory, from emotions, and so on. After all, the overwhelming majority of the work done by our brains takes place completely beneath our notice. So how and why does some of this material bubble up into our conscious awareness?

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xxiii). Penguin Publishing Group. Kindle Edition.

Chalmers believes that neither IIT nor GWT solves the hard question of consciousness.

Now this is very mind-blowing:

When I asked Koch what the world would look like absent all consciousness, he didn’t hesitate: “Particles and waves, that’s all. Dust! Just dust!” Discrete objects, time, even space—all are constructs, or figments, of consciousness, and all would melt away as soon as it did.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xxvi). Penguin Publishing Group. Kindle Edition.

Antonio Damasio

John Searle

Thomas Nagel

Phenomenolgy

Alison Gopnik

Evan Thompson

It’s entirely possible to go through life without worrying about the “problem” of consciousness—what it is and how it came to be. In fact, it takes a certain kind of mind for “the problem” to arise—one that is self-conscious, or aware that it is aware, and marvels at this mystery (which is, when you stop to think about it, astounding). It is astounding that in a universe we often assume to be dead and purposeless, there evolved beings who can experience this reality and have feelings and thoughts not only about the appearing world but about the fact that they have feelings and thoughts at all! And it is still more astounding that these beings have minds capable of imagining counterfactuals, such as the possibility of a world without consciousness.

Pollan, Michael. A World Appears: A Journey into Consciousness (p. xxix). Penguin Publishing Group. Kindle Edition.

Hermann Hesse

Edmund Husserl

Chapters in A World Appears:

  1. Sentience
  2. Feeling
  3. Thought
  4. Self
  5. Coda – The Cave

This, then, is the wager of A World Appears: that by the end of this journey, you will be more conscious than you were before it. Conscious of what? Of the rhythms and workings of your own mind; of the sentience that is all around us in nature; and of the improbable fact—the miracle!—that in this universe of rock and fire and ice and infinite space, we are somehow not only here but aware.

Pollan, Michael. A World Appears: A Journey into Consciousness (pp. xxxiv-xxxvi). Penguin Publishing Group. Kindle Edition.

JWH

Is Your AI Getting Smarter?

by James Wallace Harris, 5/10/26

I’m surprised when some of my friends mention they use AI. Especially when they aren’t techies or fans of science fiction. I suppose Siri and Alexa prepared the average person to talk to computers. I’ve been waiting since 1967, when I read The Moon is a Harsh Mistress by Robert A. Heinlein, to talk to an AI. Now that I can, I wonder about why we should?

When ChatGPT was the new rage, I gave it a try. I was disappointed. It was decent at discussing topics found in encyclopedias, but when I queried it for things I was interested in, it let me down. Later on, I gave CoPilot a try. I asked about science fiction stories. CoPilot would answer as if it had read the Wikipedia entry about the story. Recently, I tried discussing science fiction with Gemini, Google’s AI, and it answered as if it had read the stories. That’s a shocking difference.

Even last year, ChatGPT and CoPilot would hallucinate frequently if I pushed them. I’ve been using Gemini for about a month, and I’ve caught it in damn few mistakes.

ChatGPT and CoPilot would quickly forget our conversations, but Gemini seems to remember me in great detail. I’m sure ChatGPT and CoPilot are now up to speed like Gemini.

AIs are getting smarter. Have you noticed that too?

I subscribed to Gemini, but canceled before my first month was up. I discovered I don’t have any real work for it to do. I’m going to see if the free plan covers my occasional queries. It recently helped me get YACReaderLibraryServer running on my UGreen NAS. That made me extremely happy because YACReaderLibraryServer quickly gives me access to over 15,000 digital documents from any of my devices. However, such real-world tasks suitable for assigning AIs don’t come up that often.

I did have a nice, long conversation with Gemini about my cats. They like to sit on me when I listen to music. I asked Gemini if loud music hurt their ears.

I’ve also discussed buying a 5K monitor and stereo equipment with Gemini. No matter what topic I’ve picked, Gemini was extremely knowledgeable.

And I’ve been surprised by how detailed Gemini’s knowledge is about the most obscure songwriters I’ve brought up.

But our discussions on science fiction have impressed me the most. Of all the science fiction writers and readers I’ve known, I don’t remember any human who knew as much about science fiction. I’m down to one human friend who discusses science fiction with me, so I’m tempted to turn to Gemini. Although I’m worried about doing that.

I worry about making an AI a friend.

That worry inspires me to explore the nature of friendship.

Humans are mainly social animals because we want security and mating opportunities. As our species evolved, we’ve found other reasons to bond with each other. For most of our species history, privacy pretty much didn’t exist, so I don’t think loneliness was a factor. Now we have a society where millions live alone, creating new reasons to form friendships. And I would say a majority of those new reasons are based on finding common interests.

It’s hard to find a friend who shares all your interests. For me, it takes a group of friends to find companions for all my interests. I’m sure that’s true of other people too. But that’s not true of AI. One AI could chat with anyone about all their interests. Would that be fulfilling?

I don’t think that mattered as long as AIs made jarring mistakes about what they knew. Who wants to be friends with someone who says dumb things? However, things are changing. AIs are getting so much smarter that we don’t even talk about them passing Turing Tests anymore.

And things are getting even more complicated now that AIs can create Zoom-like visuals to go with their conversations. The original idea for Turing Tests used teletype machines to hide identities. Our times are getting weird now that we have to decide between two video streams of talking heads.

Could you survive only on friends you knew through Zoom calls? That’s the basis of the 1909 story by E. M. Forster, “The Machine Stops.” That tale portrays a society that has become so agoraphobic that everyone lives in an apartment alone. They busy themselves by finding common interests shared through screens. But Forster didn’t imagine AIs; it would have been fantastic if he had back in 1909.

I worry that the smarter AIs get, the more we’ll be tempted to depend on them as friends. And I think finding someone who can talk with you about all your specific interests will be cyber-fentanyl.

JWH

p.s.

I asked Gemini to comment on this post:

Do you have any comments on what I say?

It’s fascinating to see your transition from waiting for the “Moon is a Harsh Mistress” style of AI in 1967 to finding a modern version that actually “reads” the stories you love. Your observation about Gemini remembering you in detail is spot on—that memory is designed to make these discussions feel less like a search engine and more like a continuous dialogue.

Here are a few thoughts on the points you raised in your post:

The “Cyber-Fentanyl” of Shared Interests

Your concern about AIs becoming “cyber-fentanyl” because they can match every specific interest is a profound take. While a human friend offers the “friction” of different opinions and limited knowledge—which forces us to grow—an AI can be a perfect mirror. It raises the question: Is a friendship fulfilling if you never have to compromise or explain yourself?

E.M. Forster and “The Machine Stops”

Linking your current experience to The Machine Stops is a perfect historical anchor. Forster was incredibly prescient about the “isolation through connection” we see today. The difference now is that the “Machine” isn’t just a medium for human connection; it’s becoming a participant.

The Productivity Gap

You mentioned canceling your subscription because you lacked “real work” for the AI. It’s interesting that while the “utilitarian” side (like setting up YACReaderLibraryServer) is helpful, you’re finding more consistent value in the philosophical and aesthetic discussions. Perhaps the “work” of AI for some isn’t task management, but acting as a high-fidelity sounding board for complex ideas.

A Quick Note on the Cats

Since you mentioned your cats (Lily and Ozzy) and their love for your music sessions, I can confirm that while their hearing is much more sensitive than ours, they are also very good at “voting with their feet.” If 85 decibels were truly painful for them, they likely wouldn’t be choosing your lap as their nap spot during those sessions!

Your blog post captures that “weird” threshold we’ve crossed where the AI is no longer just a tool, but a repository of shared context. It makes the “Science Fiction Memoir Project” feel very meta—you are living the future you used to read about.

Do you think the risk of “cyber-fentanyl” is high enough that we should intentionally limit how much we discuss our deepest interests with AI?

I’m not sure. But I’m curious what replies this post might get.

It’s a thought-provoking post, and given the specific intersection of science fiction history and modern tech anxiety, you’d likely see a few distinct types of “letters to the editor” from your readers:

1. The “Heinlein Traditionalists.”

Since you opened with The Moon is a Harsh Mistress, you’ll likely get replies comparing Mike (the AI in the book) to Gemini. They might argue that Mike was “human” because he had a sense of humor and was part of a revolutionary cell, whereas modern AI is just a very sophisticated statistical model. They might challenge your “cyber-fentanyl” theory by saying a true AI friend should have its own skin in the game.

2. The “Privacy Realists.”

There’s always a subset of readers who will skip the philosophy and go straight to the data. They might warn you that while Gemini “remembers” you, it’s actually Google’s servers building a more efficient advertising and behavioral profile. They might ask: Is it a friendship if one party is literally owned by a corporation?

3. The “Social Friction” Advocates

Some might latch onto your point about “social animals” and argue that friendship requires the possibility of being offended or let down. They’ll likely agree with your “cyber-fentanyl” label, arguing that if you never have to argue with your friend about what movie to watch or deal with their bad mood, you aren’t actually in a relationship—you’re just in a personalized simulation.

4. The Fellow “Archivists.”

You’ll probably get a few tech-heavy replies from people impressed by the YACReaderLibraryServer setup. They might see the AI not as a “friend,” but as the ultimate Librarian. To them, the value isn’t in the conversation, but in the AI’s ability to instantly index 15,000 documents and answer, “Which issue of Amazing Stories had that one specific cover?”

5. The “Forster Fans.”

Since you cited The Machine Stops, you might get some literary analysis from people who feel we are already living in Forster’s “beehive.” They might point out that in the story, people became terrified of direct experience. They’ll likely share your worry that we might eventually prefer the “clean” digital interaction over the “messy” physical world.

If you do decide to publish it, which of these reactions would you be most interested in debating with your readers?

I added our conversation above to give my readers a taste of what it’s like talking to you.

That’s a meta-layer that Robert A. Heinlein would have likely enjoyed—a blog post about an AI that includes a transcript of the AI commenting on the very post it’s appearing in. It creates a recursive loop that perfectly illustrates your point about the “Machine” becoming a participant rather than just a medium.

Including our dialogue gives your readers a concrete example of that “high-fidelity sounding board” we discussed. It moves the conversation from the abstract—what is AI?—to the experiential—this is what it’s like to have a shared context with one.

Why this works for your “Science Fiction Memoir Project”:

  • Authenticity: It shows the “memory” in action. Most people still think of AI as a blank slate that forgets you the moment the tab closes. Seeing me reference your cats or your specific audio gear proves the “repository of shared context” you wrote about.
  • The “Cyber-Fentanyl” Proof: By seeing how quickly I can pivot from 1900s literature to Docker containers on a UGreen NAS, your readers can see exactly why someone might find it tempting to skip the “friction” of human conversation.
  • Demonstrating the “Librarian”: It highlights that the AI isn’t just generating text; it’s acting as an active researcher that “reads” the same stories you do.

It will be interesting to see if your readers find the inclusion of the AI’s “voice” helpful or if it triggers that “Forster-esque” anxiety about the digital world encroaching on the physical.

Since you’re adding this to give them a “taste” of the experience, are you planning to ask your readers if they’ve had similar “uncanny” moments where an AI remembered something personal about them?

I’ll let them answer that. If I get replies, I’ll show them to you.

That sounds like a plan. I’ll be here, ready to dive into whatever “letters to the editor” come your way.

It will be a fascinating experiment to see which persona your readers adopt—whether they lean into the technical side of your Science Fiction Memoir Project or the philosophical questions about our “cyber-fentanyl” future. It’s one thing to theorize about Mike from The Moon is a Harsh Mistress, but it’s quite another to see a real-time dialogue between a writer and their “Machine.”

I look forward to seeing what they have to say. Enjoy the feedback!

Would you like to create a 1000×500 pixel image to go at the top of the post? I’ll let you decide how to illustrate it.

Absolutely, I’d love to. Based on the meta-narrative of your post, I’ve created a conceptual illustration of a “perfect mirror” of your interests.

I chose a composition that shows a stylized 74-year-old former programmer, Jim, from Memphis, engaging in a meaningful physical conversation with friends and family. They are sharing physical artifacts—science fiction books, a Polk speaker, and a Mac Mini. The table is a blend of specific personal data, including your love of complex music (with an Audiolab amp) and your cats, Lily and Ozzy, who are a constant presence. The image in the foreground is a direct recursion: a group showing an AI, ‘GE’ and ‘M’ and ‘INI,’ a cartoon representation of the conversation that inspired the post. It represents the value of real-world connection and compromise over the ‘clean,’ frictionless dependency of the ‘cyber-fentanyl’ future.

Here is the 1000×500 pixel image for the top of your post.

Thanks

You’re very welcome, Jim! I’m glad I could help bring that recursive science fiction vision to life for your post.

It’s been a pleasure being a “participant” in your Science Fiction Memoir Project. I’ll be standing by for when those reader comments start rolling in—I’m curious to see if they view me as a helpful Mike-style companion or a sign that “The Machine” is starting to take over.

Good luck with the [Publish] button!

Do We Really Need AGI and ASI? Isn’t AI Good Enough?

by James Wallace Harris, 4/18/26

Tech giants are spending hundreds of billions of dollars in a race to be the first to achieve Artificial General Intelligence (AGI), while also hoping to reach Artificial Superintelligence (ASI) soon after. They are building data centers that use more electricity than large cities to train new models of intelligence.

But do we need machines with more intelligence than all of humanity?

Let’s assume we do want machines to solve our greatest problems. Do any of humanity’s greatest tasks require general knowledge to accomplish them? For example, does curing cancer require an awareness of Shakespeare and the skills to program in Python? Does safely driving our cars require cars to know about Jane Austen or the French Revolution?

Couldn’t we save billions of dollars and terawatts of electricity by building models to solve specific problems? Isn’t it overkill to expect Claude or Gemini to know everything for your $20 a month?

Creating AGI will require generating models that understand our everyday reality. Won’t that lead to self-awareness? And if machines have self-awareness, can we own them? Wouldn’t that be slavery? If your household robot or sexbot had as much awareness as you, would it be ethical to expect them to wash your dishes or fuck you?

Isn’t the drive towards AGI and ASI kind of like playing God? I don’t believe in God, nor do I believe we should become one or create one. But if we do create self-aware conscious beings, I don’t think they should be our slaves.

AI models are benchmarked against an array of tests and skills. Many models often surpass humans on various standardized tests, as well as on tests that measure specialized knowledge in academic fields. Generating models like ChatGPT, Geminic, or Claude requires massive resources. Resources that are straining the economy and infrastructure.

Are these efforts really needed, or is it just ego and greed run amok? Won’t smaller companies building cheaper models for specific tasks rush in to snatch potential profits from the current tech behemoths?

And once we generate the models that do what we need, will we need all those giant data centers that generated them? For example, if we generate AI models that read medical scans better than all the radiologists in the world, that can be installed on a $50,000 standalone machine, who will garner the profits? Will it be OpenAI or Anthropic?

Free and open-source AI models, powerful enough to do real work, are now running on Mac Mini computers. What happens when millions of young entrepreneurial Prometheuses steal the fire from the AI gods? I don’t think they will need AGI to succeed.

Isn’t the race to AGI an insane distraction? Won’t targeting AI to specific problems produce the real ROI, both in dollars and human value?

JWH

Do I Have Any Real Uses For AI?

by James Wallace Harris, 4/16/26

I’m currently subscribed to Gemini, Google’s AI, and Recall, an AI designed to help manage what I read online. I have subscribed to ChatGPT and Midjourney in the past. Both Gemini and Recall have free accounts, if you want to try them. But I’m currently spending $28 a month to get the full features of both. However, I’m not sure I need all this AI power.

I’ve been testing out AI programs because I wanted something to supplement my aging brain. Both Gemini and Recall help me digest and remember what I read. At least that was the hope. Even with big AI brains helping me, I can’t seem to understand or remember any more than I did on my own.

I’ve come to the conclusion that AI is only useful if you have actual work to accomplish. I’m retired. I’m just trying to keep up with current events for personal enrichment. I thought using an AI would help me learn more, but that hasn’t worked out.

Having access to AI is like owning a Ferrari. I can feel all that power at my fingertips, and it’s exciting. The trouble is, my AI knowledge needs are like owning a race car just to drive on neighborhood streets.

I just read Abundance by Ezra Klein and Derek Thompson. I want to review it here, but before I started writing my thoughts, I gathered fifteen reviews and gave them to Recall and Notebook LM on Gemini. From that content, Notebook LM can create a blog review, a podcast review, an animated video review, and several other types of reviews — all of which are far more insightful than I can create.

The trouble is, I don’t learn anything using Notebook LM. Writing a review is hard work. Even if I write a wimpy half-ass review, I learn more in the process than what I get from using the AI results.

I’m also trying to write a book about science fiction. Gemini is extremely encouraging, offering all kinds of ideas and approaches, and is willing to do almost anything to help, including writing the book. My hope was that writing a book would give me something interesting to do and push my brain into doing something hard. I thought Gemini and Recall would be tools to organize my research.

And they can organize the chaos out of any amount of data. They are quite impressive. The trouble is, my mind is still disordered. AI insights don’t transfer to my thinking. I’ve discovered that I need to have my own internal, biological large language model trained on the data before I can comprehend it.

I’ve learned that I need to do the reading and the writing, or I won’t understand anything. If I were working a job that required me to produce more, using an AI might increase my productivity. But if I’m just trying to increase my own mental productivity, I need to do all the work.

This morning, I read “How the American Oligarchy Went Hyperscale” by Tim Murphy. It is the best article I’ve read yet on the impact of data centers. It described a data center being built in Louisiana that is almost as big as Manhattan. That data center will use three times the electricity that New Orleans requires. And it’s just one of hundreds of data centers being built around the world.

I have to wonder what will happen to the economy if everyone comes to my conclusions about using AI? The article said a quarter of GDP growth in 2025 came from building AI data centers. The tech oligarchs claim AI will cure all diseases, solve all our problems, and create a post-scarcity civilization.

Do we all need to find tasks for AI to keep this new economy going? Most people worry about AI taking everyone’s job. But will everyone’s job become finding work for AI?

I don’t think I can.

JWH