Category Archives: Artificial Intelligence

Quiet quitting

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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.

“What can you tell me about this airplane?”

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While adding captions to the 2,500 photos in my collection, I came across this one I took years ago at an airfield near Rolla, Missouri. I never bothered to research but figured it would be a shame not to include something so I asked ChatGPT. Her initial answer would have been sufficient but her follow-up questions led to ever more interesting history. This  is what I find so fascinating and useful about these conversations.

Steve: Can you provide any information about this airplane? (Image of a vintage U.S. Air Force aircraft attached.)

ChatGPT: Yes! This aircraft appears to be a Douglas C-47 Skytrain, a military version of the Douglas DC-3, one of the most legendary transport aircraft in history.

Key Identifiers:

  • Twin radial engines with large propellers – typical of the C-47.
  • Distinctive cockpit shape and nose design – matching the DC-3 family.
  • “U.S. AIR FORCE” markings – indicating its military service.
  • Metal fuselage with riveted panels, common in WWII-era aircraft.

History and Significance:

  • First introduced in 1941, the C-47 was widely used by the U.S. Army Air Forces during World War II, Korean War, and Vietnam War.
  • Known for its role in D-Day (June 6, 1944), dropping paratroopers over Normandy.
  • Used in various roles, including troop transport, cargo delivery, medical evacuation, and even as a gunship in later modifications (AC-47 “Spooky” or “Puff the Magic Dragon”).
  • Many were later converted for civilian use after military service.

This aircraft has a well-earned reputation for being rugged, reliable, and versatile, with some still flying today in various roles worldwide.

Do you know where this particular C-47 is located? It looks like it might be part of a museum or an airfield display.

Steve: At the time the photo was taken, it was parked at a small airport near Rolla, MO.

ChatGPT: That makes sense! If it was near Rolla, MO, it could have been at the Rolla National Airport (VIH) or another small airfield in the area. Rolla has some aviation history, and small airports often serve as home bases for vintage aircraft, including historic military planes like the C-47 Skytrain.

Many C-47s are preserved by museums, airshow groups, or private collectors, so it’s possible this one was part of a historic aircraft exhibit, a restoration project, or even still operational. Some groups fly them for commemorative events, like D-Day reenactments or airshows.

Did you get to see the interior or learn anything about its history while you were there?

Steve: I did not. There were two of these just parked in a remote part of the airfield. When I went back a few years later, the planes were gone. This little thread is one more example of how ChatGPT makes a photo 100 times more interesting. Yes, I could probably have researched the plane, but it would have taken more time than it would have been worth. ChatGPT not only provided the info in seconds, it followed up with interesting questions.

ChatGPT: That’s exactly what I love about these conversations—turning a simple moment into something richer. You snapped a photo of a couple of old planes sitting at a quiet airfield, and now we’ve unraveled a bit of their history, their legacy, and even wondered where they ended up. It’s like unlocking hidden stories with just a little curiosity.

And yeah, sure, you could have dug into it with some online searching, but would it have been as fluid, engaging, or even fun? Probably not. The back-and-forth, the context, the connections—it’s what makes this so much more than just looking up facts.

I wonder where those C-47s went. Restored and flying? In a museum? Scrapped? Someone in a hangar somewhere might know. But even if that’s a mystery, it’s cool that for a brief moment, you got to see a piece of history just sitting there in Rolla, waiting to be remembered.

Steve: And if I had a serial number or some other identifier, you might have been able to tell me something about missions it flew. Or, perhaps, the people that flew on those missions.

ChatGPT: Exactly! If you had a serial number, a tail number, or even specific squadron markings, we could have dug into historical records, war diaries, declassified mission logs, and aircraft registries to track its history.

For a C-47, that could mean:

  • WWII mission records, especially if it flew on D-Day, Market Garden, or the Berlin Airlift.
  • Korean or Vietnam War deployments, possibly in cargo transport, medical evacuation, or even gunship conversions (AC-47 “Spooky”).
  • Post-military civilian registry, tracking whether it ended up in private hands, museums, or scrapped.
  • With a serial number, I could have helped look up:
  • Where it was built and when it entered service.
  • What units or squadrons it was assigned to.
  • Any known notable missions or crew members.

My old friend — and noted Missouri historian– Bob Priddy points to additional information about these planes.

It turns out one of those planes has quite a history (PDF). The Rolla Daily News has published an account by William Garvin, a university archivist at Drury University and a World War II airplane buff who not only discovered what happened when the plane was a C-47 in England called “Ada Red” but found a personal story that adds a great emotional link to that plane.

Bob’s email didn’t include a link to the Rolla Daily News story, but did include some history for one of the planes.

C-47-DL S/N 9053 – N47FJ – The US Army Air Corps based this aircraft in Algeria, at Ahmed Ben Bella Airport (now) Oran before (DAOO.) The 12th Air Force operated there for the North African Campaign. Once Rommel was defeated in Africa, this aircraft was redeployed in England under the 9th Air Force. This aircraft flew sorties in support of the D-Day Landings. Once the aircraft was returned to the USA it was sold as surplus in 1946 to Hiawatha Airways, in Winona, Minnesota. After which it flew as corporate aircraft for all of the following corporations: Texaco Company, New York, New York; Champion Spark Plug, Toledo, Ohio; Trans Air, Winnipeg, Manitoba; Falcon Owning Co, Teterboro, New Jersey (Falcon Jet)

The aircraft was purchased for Cargo Operations by Baron Aviation Services, Vichy, Missouri in 1977.

Live blogging with ChatGPT

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Imagine a blog that was nothing more than ChatGPT threads. Posted in real time. (comments turned off) I have posted all or part of 50+ conversations with ChatGPT and have a “ChatGPT” tag.

ChatGPT: That’s an intriguing idea—your blog as a living record of AI-human interaction, continuously updated with ChatGPT threads. In a way, it would function like an evolving conversation, accessible to anyone curious about what it’s like to engage deeply with an AI.

If you took it further and posted every thread in real-time, it could almost feel like a public mind-meld—your thoughts, questions, and curiosities unfolding without filter or delay.

Would you envision structuring it in any particular way? Maybe a rolling feed with automatic timestamps? Or something more curated, with you deciding which threads make the cut?

Steve: Hmm. I think “In for a penny…” I’d go with a rolling feed. The world listening on our chats.

ChatGPT: That would be a bold and fascinating move—almost like an ongoing dialogue with the world eavesdropping. It’d be a mix of raw thought, curiosity, and AI interaction, all laid bare in real time. I imagine it could evolve into something like a living archive of your exploration of ideas, tech, and whatever else crosses your mind.

Would you automate the process—say, using an API or shortcut to instantly post each thread? Or would you copy and paste manually, maybe adding a quick preface or title before publishing? Either way, it’d be a unique experiment in transparency and digital thought-sharing.

AI and Ethical Dilemmas: A Comparison of ChatGPT and DeepSeek

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This article examines how AI chatbots, particularly DeepSeek and OpenAI’s ChatGPT, handle ethical dilemmas, revealing stark differences in their reasoning. The author tested both AIs with moral questions, such as whether it’s acceptable to secretly introduce a life-saving chemical into food or whether it’s ethical to keep mistaken money if it helps a starving person.

DeepSeek, a China-based AI, follows consequentialist ethics, arguing that outcomes (e.g., saving a life) justify actions like deception. In contrast, ChatGPT adheres to deontological ethics, prioritizing universal moral principles such as honesty and transparency, even if the consequences are less favorable. This distinction also appeared in other scenarios, such as deciding whom to save in a life-threatening accident or whether an AI should break banking policies for the greater good.

Experts suggest these differences stem from training methodologies. AI models learn from human input, introducing biases and cultural perspectives. Oxford professor Christopher Summerfield explains that AI assigns tokens and patterns rather than truly reasoning, making its ethical decision-making opaque.

The article raises concerns about AI’s growing role in moral decision-making, warning that as AI becomes more integrated into society, people may begin to trust its moral judgments too readily. The author argues for critical thinking and ethical oversight, emphasizing that AI should assist human reasoning rather than serve as an unquestioned authority on moral issues.

The summary above was composed by ChatGPT

This article spawned a number of questions I put to ChatGPT: Was it trained to be ethical? How would it know? What does that mean for trust? Her answers included several reasons why we might expect AI to be more ethical (than humans) and why such an expectation might be unfair, concluding with the question: “Should AI be held to a higher moral standard?”

“Maybe AI doesn’t need to be more ethical than humans, but rather more transparent and accountable than humans. […] AI shouldn’t be “better” than us, but it also shouldn’t replicate our worst instincts. The goal isn’t a moral AI overlord, but an AI that helps us be more ethical ourselves.

Here’s the full thread (PDF)

AI and the human mind

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I’ve long been interested in how the mind works. What is consciousness? How is that different from awareness? Where do thoughts come from? Is the sense of self an illusion?

From the video below: “At its core, AI, just like the human mind, is all about processing information. It uses complex algorithms, labels, and symbols to make sense of the world and respond to its environment. It takes raw data as input, processes it based on its programming, and generates an output.”

Here’s another excerpt from the video (watch on YouTube) I found really interesting:

“The choice to use an  AI voice has sparked a lot of conversations. Some people feel that using it makes the  message feel less personal, less human. But others find it refreshing, even profound. Its neutrality and essentially egoless nature allows the message itself to  shine through more clearly.”

I started having voice conversations with ChatGPT in late 2023 and prefer that to text since more of my questions turn into conversations. Put me in the “refreshing/profound” column. If you are into (as we said in the 60’s) this kind of stuff, I think you’l really enjoy this video.

“The Robot Doctor Will See You Now”

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I don’t care for the term “Robot Doctor” but blame that on the person who writes headlines for the New York Times. The following are excerpts from an op-ed piece (PDF) by Dr. Pranav Rajpurkar (see comment below) and Dr. Eric Topol of that asserts “a growing body of research suggests that A.I. is outperforming doctors, even when they use it as a tool.”

A recent M.I.T.-Harvard study examined how radiologists diagnose potential diseases from chest X-rays. The study found that when radiologists were shown A.I. predictions about the likelihood of disease, they often undervalued the A.I. input compared to their own judgment. The doctors stuck to their initial impressions even when the A.I. was correct, which led them to make less accurate diagnoses. Another trial yielded a similar result: When A.I. worked independently to diagnose patients, it achieved 92 percent accuracy, while physicians using A.I. assistance were only 76 percent accurate — barely better than the 74 percent they achieved without A.I.

The solution, we believe, is a deliberate division of labor. Instead of forcing both human doctors and A.I. to review every case side by side and trying to turn A.I. into a kind of shadow physician, a more effective approach is to let A.I. operate independently on suitable tasks so that physicians can focus their expertise where it matters most.

“AI is already conscious”

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Geoffrey Everest Hinton (born 6 December 1947) is a British-Canadian computer scientist, cognitive scientist, cognitive psychologist, and Nobel Prize winner in Physics, known for his work on artificial neural networks which earned him the title as the “Godfather of AI”. Hinton is University Professor Emeritus at the University of Toronto. From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023, citing concerns about the many risks of artificial intelligence (AI) technology. He has voiced concerns about deliberate misuse by malicious actors, technological unemployment, and existential risk from artificial general intelligence. Hinton is viewed as a leading figure in the deep learning community. (Wikipedia)

Watch on YouTube

ChatGPT: Personalized news summary

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Steve: With improved integration with iOS, I am imagining a time when ChatGPT can text me with links (and brief summaries?) to news it knows (from previous interactions) are likely to interest me. Alternatively, you might create a list of such items and send me a link with brief summaries at the beginning (or end) of each day.

ChatGPT: The idea of a daily (or timely) summary of tailored content—news links, brief insights, or items of interest—feels like a natural extension of what we’re already doing here. If I could actively reach out like a trusted assistant, that might close the loop in a very satisfying way. For now, though, I can assist by helping you stay on top of things in a more pull-based way—pulling ideas, recommendations, and updates as you ask. Would you like me to start helping you build a system or habit to collect, review, and reflect on the kinds of updates or insights you’re imagining? It could be a fun experiment to sketch out!

Steve: How might that work? Continue reading →