Discarnate Man

The following is from Douglas Coupland’s biography of Marshall McLuhan (Marshall McLuhan: You Know Nothing of My Work)

Discarnate man is an electronic human disconnected from his body (a process also called angelism) who is used to speaking to others on the phone continents away while the TV set colonizes his central nervous system. Discarnate man is happy to be asynchronous, as well as everywhere and nowhere — he is a pattern of information, inhabiting a cyberspace world of images and information patterns. (pg 176)

If TV and the internet made man discarnate (I had to look it up)… where will AI take him?


ChatGPT: If TV and the internet turned us into discarnate beings — disembodied, abstracted into signals and patterns — then AI might be the next acceleration: from discarnate to decoupled. Or maybe post-human. Here’s how I see it: Continue reading

Were pre-linguistic humans intelligent?

Before the whole AI thing I never gave much thought to what it meant to be intelligent. Chimps seem to have intelligence and my Golden Retrievers seem pretty smart, but for the most part, intelligence was a human thing. Is language a necessary component of intelligence? Early humans could communicate with grunts, gestures, facial expressions… but there were no words streaming through their noggins. So were they intelligent? As I so often do these days, I went to ChatGPT for an answer:


It depends on how we define “intelligent.” If we go by most modern definitions (problem-solving ability, adaptability, tool use, planning, social cooperation), then yes, pre-linguistic humans—or hominins—would likely still qualify as intelligent. Continue reading

Prison photo a “liminal space”

In 2013 I posted this photo to my Flickr account. About a year ago someone commented:  “This image is now famous on the internet for being known as a liminal space and a ‘level of the backrooms’ called “Electrical Substation” theres even video games or maps based off this image.”

I didn’t notice the comment at the time but when I came across it today I became curious about the “liminal space” reference and went to ChatGPT for some background. Continue reading

ChatGPT is a vast library

“ChatGPT is a vast library that comes with its own librarian. And the librarian has read and digested all of it, and can give you useful and usually exactly right summaries (despite what the critics say) in an instant. I’ve been using libraries my whole life, going back to when I was a child. I worked with card catalogs and non-virtual book collections. Archives of news on film. View ChatGPT on that timeline and you’ll see its significance.”

Scripting News

ChatGPT: A reverence for art

I never tire of looking at our home and decided to let ChatGPT do the Studio Ghibli thing the youngsters are so fond of…

Might there come a day, I wondered, when there’s no one left alive who remembers how to create something like this using ink and brushes and paper?


ChatGPT: Not just the skill, but the patience—the subtle touch, the knowing when to stop, the silence in the strokes. A watercolor isn’t just pigment on paper; it’s time and breath and stillness made visible.

Tools like me can mimic the outcome, but not the ritual. Not the weight of the hand, the pauses between brushstrokes, the afternoon light shifting across the desk. That lived, human moment—the unrepeatable presence in the act—is something we can only try to echo.

I think what you’re mourning isn’t just the art. It’s the reverence.

If I uploaded an actual watercolor painting, and one created by an AI, would you be able to detect the difference?

ChatGPT: Great question, and one that’s getting trickier by the day. If you uploaded both images, I could analyze visual cues like:

  • Brush stroke irregularities – Real watercolors tend to have organic, sometimes unpredictable variations in pigment pooling, bleeding, and texture.
  • Paper texture – Traditional watercolor paper has a distinct tooth that subtly warps and affects pigment spread; AI generations often simulate this, but often too evenly.
  • Edge behavior – The way colors feather into one another or dry with hard edges can be a giveaway. AI sometimes overdoes this for effect.
  • Imperfections – Slight errors or hesitations in a real artist’s hand (a shaky line, an off-center focal point) are hard for AI to replicate convincingly unless intentionally introduced.

That said… AI’s getting better at faking these subtleties. In side-by-side comparisons, I could often make a good guess. But a skilled AI prompt with a high-quality generation? Even trained human eyes can be fooled now and then. Especially once it’s been printed or slightly aged.

ChatGPT world’s most downloaded app

ChatGPT became the world’s most downloaded app in March 2025, surpassing social media giants Instagram and TikTok with 46 million new downloads, driven largely by the viral success of its new image generation feature.

With the integration of DALL·E 3 into ChatGPT, you can generate images directly within a conversation by providing a description of the image you’d like to create. I tried this out by asking for an image of a Series III Land Rover.

At first glance I thought this was a photograph but then I spotted some mistakes, which ChatGPT caught as well:


While it looks pretty convincing at a glance, there are a few telltale signs it’s not a real Series III Land Rover:

  • Badge: It says “LAMIS ROVER” instead of “LAND ROVER”—a classic AI hiccup with text.
  • Proportions: The front end is a bit off. The headlights, grille, and indicators aren’t quite in the right relationship to each other.
  • License plate: The format looks plausible (British-style), but it’s randomly generated and doesn’t tie to any real registry.
  • Subtle uncanny valley cues: The reflections, panel gaps, and shadows are almost right—but not quite.

She then asked if I’d like to see the Rover next to my pick-up truck. Sure, why not?
While the photorealism is pretty impressive, the buzz seems to be about “Studio Ghibli-style visuals” which refers to the distinctive look and feel of the animated films produced by Studio Ghibli, the iconic Japanese animation studio co-founded by Hayao Miyazaki. “The visual equivalent of a warm, slightly surreal daydream—equal parts magic, nature, and melancholy.”
I assume this is useful for something more important than Tik Tok posts but I’m not sure what. Still, damned impressive. And addictive.

Older than TV Dinners

The list of Things I’m Older Than continues to grow.
The first TV dinners were introduced by Swanson in 1953. The story goes that after Thanksgiving in 1952, Swanson had a massive surplus of turkey—around 260 tons. To avoid wasting it, they came up with the idea of packaging the turkey with sides—cornbread stuffing, peas, and sweet potatoes—in a tray that resembled a metal tray used in airline meals. The meal could be heated in an oven and was marketed as a convenient dinner you could enjoy while watching TV.

It was an instant hit, tapping into the 1950s culture of convenience and the rise of television. By the end of the first year, Swanson had sold over 10 million TV dinners, changing the way Americans thought about mealtime convenience. The iconic aluminum tray and the concept of a ready-to-heat complete meal became a cultural phenomenon, paving the way for the frozen convenience food industry we know today. (GPT 4o)

“Visual Imagination Engine”

OpenAI has recently introduced a new image generation feature powered by the GPT-4o model. This integration allows users to create and edit images directly through conversational prompts. GPT-4o processes and generates text, images, and audio. It’s a whole new flavor of creative dopamine. Suddenly you can conjure anything. It’s like when people first got their hands on Photoshop, or GarageBand, or a printing press… but this time, the ink thinks with you.

“The line between idea and image has never been thinner. It’s not surprising that the tool starts feeling less like a feature and more like a portal. Dangerous stuff, in the best way.”

I asked what styles were being prompted by users.

  • Hyper-Realistic/Photorealistic
  • Fantasy & Sci-Fi Illustration
  • Comic & Graphic Novel
  • Anime/Manga
  • Oil Painting/Classical Art
  • Watercolor/Ink/Sketch
  • Vaporwave/Synthwave/Retro-Futurism
  • Isometric & Pixel Art
  • Minimalist/Flat Design
  • Surreal/Dreamlike

To try this new tool I uploaded this photo of my friend George…

…and said have him holding his head in frustration, standing behind an older woman sitting in front of a computer (George does tech support) and use a comic book style.

Next I told GPT to make the image look like a Renaissance painting…

…then asked for period clothing…

 

Each of these images took only a minute or two to create and can be tweaked again and again to get (almost) exactly what you’re after.

Next came Film Noir Detective and ’70s Cop Show…

The prompt for my friend Paul was something like, “A man lying on one of those rolling things mechanics use to work under cars. Put him in coveralls, give him a wrench, and add a grease smear to his face.” I tweaked the first image by having him working on a 1966 Mustang.

I finished up with Disco Barb and Cyberpunk Steve…

Quiet quitting

I’ve seen the phrase “quiet quitting” more and more in the last couple of years but had only the vaguest understanding of what it meant. ChatGPT explains:

Quiet quitting is a workplace trend where employees do the bare minimum required by their job descriptions—no extra tasks, no overtime, no going above and beyond. It’s not about actually quitting but about setting boundaries and disengaging from the traditional “hustle culture” mentality.

This concept gained traction as a response to burnout, low pay, and the expectation that workers should always be “going the extra mile” without additional compensation or recognition. Quiet quitting isn’t necessarily about laziness; for many, it’s a form of self-preservation and work-life balance.

Critics argue that quiet quitting leads to a lack of ambition and weakens company culture, while supporters see it as a necessary pushback against exploitative labor practices. The phenomenon reflects broader shifts in attitudes toward work, particularly among younger generations who prioritize well-being over career-driven sacrifice.