Is Corned Beef Really Irish? | Smithsonian

The rise and fall and rise of the traditional St. Patrick’s Day meal
— Read on www.smithsonianmag.com/arts-culture/is-corned-beef-really-irish-2839144/

My daughter told me about this fascinating article about the close ties Irish immigrants developed with their Jewish neighbors in America. What we think of as Irish corned beef was actually meat that the newly arrived Irish could finally afford to eat (now that they weren’t starving under Great Britain’s rule), and they purchased it from the Jewish delicatessens.

Posted in History, Popular culture | Tagged , | 7 Comments

Office Building Lobby

I had a meeting with a colleague this morning in a nearby office building’s large food court, which serves only coffee and prepackaged breakfast food in the mornings and is thus quite deserted during the 9:00 AM hour. While standing at the counter to order coffee, I noticed how striking the various lines of the building’s lobby were for the first time. I’ve been in this building hundreds of times (at least!) over the past 30 years, but I guess I’ve never been standing exactly in this spot, with the light (and light fixtures) being exactly as they were this morning, because it all looked “fresh” to me!

Office building lobby in silver and light green colors, with spare, minimalist furniture, lots of silver metal and glass, and many vertical and horizontal lines

I loved not only the strong vertical and horizontal lines but also the rather spare color palette of silver, black, white, and green (of varying shades, ranging from the pale green floor tiles and wall to the dark green leaves of the plant). Just a nice little moment of delightful awareness to go with my Valentine coffee (roasted in Milwaukee!) Americano as I launched into my work day. . . .

My sadly very long work day, which is only just now ending as I prepare to leave my office at 8:15 PM. But on the plus side, I managed to get a lot of BIG projects completed, so I can go to bed tonight with a clear head filled with zero worries! 🙂

Posted in architecture, Milwaukee, Photography | Tagged , , | Leave a comment

‘Chaos: The Manson Murders’ Review: All You Ever Knew is Suspect – The New York Times

My January 2022 post about Charles Manson and Dennis Wilson is getting LOTS of views today. And now I know why. There’s a new documentary on Netflix starting today, reviewed here in the New York Times: Errol Morris returns to his main obsessions — evil and delusion — in a new Netflix documentary about the famous murders.
— Read on www.nytimes.com/2025/03/06/movies/chaos-the-manson-murders-review.html

Posted in History, Movies and film, Popular culture | Tagged , , | 2 Comments

Writing exercise – “The Cat in the Rain” (a sinister prologue with ChatGPT assists)

This is a long post today, but I’m sharing the entire ChatGPT “chat” from a recent writing group exercise to show my process of completing a finished piece from the “assignment” through the end. If you’re curious enough to stick with me (through the 6,000 words, which you may certainly feel free to skim!), you’ll be able to see the text take shape and grow from nothing to something. The final version of my (rather long) “flash fiction” exercise is at the end, and then I close with a few thoughts about generative AI and the future of writing, plus some thoughts about teaching writing today (from my own experiences teaching writing courses as a college professor).

So, first, which you already know if you have seen my previous “writing exercise” posts, the writing group I belong to, which usually meets every two weeks, has exercise prompts that we all prepare in advance and share each time during our meetings. I have been using ChatGPT to assist with my exercises, mostly as a fun way for me to learn the new tool. This time the prompt was to write a flash fiction story using the following elements: a storm, a cat, and a disease. What follows below is the “journey” of my finished piece from initial prompt to final draft.

I said to ChatGPT:

I would like to write a flash fiction story for my writing group exercise using these three elements: a storm a cat a disease. Can you generate ten flash fiction stories to help me get inspiration for ideas? Thank you!

ChatGPT said:

Here are ten flash fiction story ideas using your elements: a storm, a cat, and a disease.

  1. The Lighthouse Keeper’s Cat

During a raging storm, an old lighthouse keeper falls ill with a fever, barely able to stand. His only companion, a stray cat, watches the beacon flicker out. As a ship nears the rocky shore, the cat leaps onto the control panel, reigniting the light just in time. The keeper, delirious, thinks he’s dreaming—until he wakes to find the cat purring on his chest, its paws covered in oil and soot.

  1. Nine Lives Left

A stray cat wanders into a quarantined town, oblivious to the sickness killing its inhabitants. It seems immune, slipping through broken windows, curling against the fevered, whispering secrets in the night. When the storm floods the streets, the cat disappears—only for survivors to swear they saw its glowing eyes leading them to safety.

  1. Storm Surge

A scientist, sheltering from a hurricane in her lab, watches in horror as her test subject—a genetically altered cat meant to resist diseases—escapes its cage. She’s already infected with the virus she was studying, but the cat, untouched by sickness, sits calmly as the wind howls. In her fevered state, she wonders: is the cure purring at her feet?

  1. The Last Visitor

On the eve of a deadly storm, an old man waits out the night in his boarded-up home, his body weakened by an incurable illness. The power goes out, and in the darkness, he hears soft paw steps. A black cat appears, eyes glowing in the lightning flashes. “Come,” it seems to say. He follows it into the storm, leaving nothing but an empty bed behind.

  1. Plague on the Wind

The villagers blame the storm for the sickness that follows—airborne and relentless. They burn everything the wind touched. Then, the cat appears at their doorstep, untouched by disease. One by one, it chooses homes to enter, curling up beside the ill. By dawn, everyone the cat has visited is either dead—or miraculously healed.

  1. Whiskers and Warning Signs

She wakes feverish to the sound of her cat yowling. Outside, lightning splits the sky, the storm pressing against her windows. She tries to rise, but dizziness pulls her back. The cat scratches at the door, insistent. She finally stumbles outside—just as the ceiling collapses behind her. The cat, satisfied, vanishes into the night.

  1. The Cat in the Rain

As the city drowns in stormwater and plague, a lone cat walks the rooftops. They say it belonged to Patient Zero, the first to fall ill. It lingers outside homes, staring through windows. Those who see it know: the sickness is already inside.

  1. The Fisherman’s Omen

A fisherman, returning home just before a hurricane, finds a sickly cat hiding in his boat. He nurses it back to health, even as his wife warns him of bad omens. When the storm comes, it flattens their village—but their home remains standing. The cat vanishes, leaving only a single wet paw print on his doorstep.

  1. The Carnival That Never Left

A traveling carnival shuts down when a strange illness spreads through its workers. They quarantine in an old fairground, where a storm traps them for weeks. Then, the cats arrive—hundreds of them. They move through the tents, eerily silent, as the sick disappear one by one. By the time the storm clears, the carnival is empty. Only the cats remain.

  1. The Last Cure

A dying scientist injects her own blood into her cat, hoping it might outlive the storm of sickness ravaging humanity. As she succumbs, the cat slinks away, immune to the plague. Generations later, the world has healed, and people whisper about a strange breed of storm-colored cats—always watching, always surviving.

Do any of these spark an idea for your flash fiction? I can refine one or mix elements together if you’d like!

4o (Note: I love this little “signature” that ChatGPT uses to sign off on its comments and notes to me.)

I said:

I kind of like #7, “The Cat in the Rain.” Let’s set this story in a French medieval town. Patient Zero needs to be referred to by a similar term that is appropriate for the French Middle Ages. Add candles, Medieval medicines, parents and children. Please generate a new version, and then we can consider any further revisions. Thank you!

ChatGPT said:

Here’s a medieval version of “The Cat in the Rain” set in a French town, incorporating your requested elements:

The Cat in the Rain

The storm came first—roaring winds, torrents of rain that turned the cobbled streets of Saint-Léon into rivers of filth. Then came the sickness.

It started in the home of a tanner’s wife, a woman now only spoken of in whispers: La Première Malade—the First Afflicted. She collapsed in the marketplace, her skin damp with fever, her breath rattling like dried reeds. By nightfall, her children were coughing, and by week’s end, half the town burned rosemary and rue at their doorsteps, praying to keep the affliction away.

And then the cat appeared.

No one knew from where—perhaps it had always been there, lurking in the alleyways, watching with golden eyes. Now it moved openly, slipping between homes, silent as a shadow. It perched on windowsills where candlelight flickered against the rain. It curled on doorsteps where mothers wept over feeble children.

The apothecary swore by leeches and tinctures of crushed pearl. The priest called for fasting and prayer. The midwife whispered of bad humors rising from the earth. But it was the cat the people feared most.

“Did you see it last night?” murmured the butcher’s wife, clutching her rosary. “By old Pierre’s house?”

Pierre was dead by morning.

The tanner’s apprentice saw it next, its black form hunched atop the wooden beams of the granary. The miller’s wife claimed it stared at her from the well. Always watching. Always waiting.

One by one, the homes it visited were marked with sprigs of yarrow and circles of chalk. Some villagers threw salt at it, some chased it with brooms. A boy tried to drown it in a rain barrel. By the time his fever took him, the cat was gone.

But when the next storm rolled in, bringing winds that howled through the chimneys and rain that battered the rooftops, the cat returned.

It always did.

Does this capture the atmosphere you’re looking for? I’m happy to refine or add more historical details!

4o

I said:

I like this. Some logical transition is needed before the last sentence in the following section: The apothecary swore by leeches and tinctures of crushed pearl. The priest called for fasting and prayer. The midwife whispered of bad humors rising from the earth. But it was the cat the people feared most. Also, why have the streets of Saint-Leon turned into “rivers of filth”? Where does the filth come from that the rain is causing to wash the streets? And one last request: can you somehow add details that make the cat appear malevolent and the rain itself appear sinister rather than cleansing. Not that the rain currently appears cleansing, but since water is often seen as a purifying force, I want this rain and water to somehow be linked with infection and contamination. Can you revise further.

ChatGPT said:

Here’s your revised version with better transitions, a clearer reason for the “rivers of filth,” and an enhanced sense of malevolence from both the cat and the rain.

The Cat in the Rain

The storm came first—roaring winds, torrents of rain that turned the cobbled streets of Saint-Léon into rivers of filth. Water gushed through alleyways, carrying refuse from the tanner’s vats, human waste from overflowing privies, and the rotting carcasses of drowned rats. The rain did not cleanse; it defiled, filling the air with a rank, cloying stench.

Then came the sickness.

It started in the home of a tanner’s wife, a woman now only spoken of in whispers: La Première Malade—the First Afflicted. She collapsed in the marketplace, her skin damp with fever, her breath rattling like dried reeds. By nightfall, her children were coughing, and by week’s end, half the town burned rosemary and rue at their doorsteps, praying to keep the affliction away.

And then the cat appeared.

No one knew from where—perhaps it had always been there, lurking in the alleyways, watching with slitted golden eyes. Now it moved openly, slipping between homes, its black fur slick with rain, its paws silent against the stones. It perched on windowsills where candlelight flickered against the storm, watching the sick through warped glass. It curled on doorsteps where mothers wept over fevered children.

Some said it had crept from the tanner’s house the night the woman first fell ill. Others swore they had seen it pacing along the edge of the cemetery wall just before the gravedigger took to his bed, never to rise again.

The apothecary swore by leeches and tinctures of crushed pearl. The priest called for fasting and prayer. The midwife whispered of bad humors rising from the earth. But as the death toll grew, fear turned its gaze elsewhere—not to the heavens, nor to the herbs, nor even to the unseen pestilence that lingered in the damp. Instead, the people of Saint-Léon watched the cat.

“Did you see it last night?” murmured the butcher’s wife, clutching her rosary. “By old Pierre’s house?”

Pierre was dead by morning.

The tanner’s apprentice saw it next, its black form hunched atop the wooden beams of the granary. The miller’s wife claimed it stared at her from the well, its dripping whiskers casting thin, twitching shadows. It left no paw prints in the mud, but the water where it walked took on an oily sheen. When it passed, candle flames flickered, burning low and sickly green.

One by one, the homes it visited were marked with sprigs of yarrow and circles of chalk. Some villagers threw salt at it, some chased it with brooms. A boy tried to drown it in a rain barrel. By the time his fever took him, the cat was gone.

But when the next storm rolled in, bringing winds that howled through the chimneys and rain that hissed against the rooftops like whispered curses, the cat returned.

It always did.

I’ve refined the transitions, justified the filth in the streets, and made both the cat and the rain feel more sinister and tainted. Let me know if you’d like any further tweaks!

4o

I said:

This is really good, I really like it! Still considering revisions, although only to make this even better. In the last two paragraphs, I’d love to have some sort of hint as to why the cat comes back with the storms. Also, the phrase “it always did” implies that the cat is somehow immortal and has always arrived with every storm. I’d rather have the first storm described in this story be the first time the cat appeared. At the end, can you instead imply that the cat always returned after that, not that it always did. And the ending would be stronger if the knowledge that the cat would always return afterward was implied rather than directly stated. Can you revise for a new version? Don’t write over the previous versions. I like seeing every single version as its own entity so I can look back over the progress we’ve made in each draft. Thank you!

ChatGPT said:

Here’s your latest revision, incorporating your request to hint at why the cat returns with the storms and refining the ending to imply its continued return rather than stating it outright.

The Cat in the Rain

The storm came first—roaring winds, torrents of rain that turned the cobbled streets of Saint-Léon into rivers of filth. Water gushed through alleyways, carrying refuse from the tanner’s vats, human waste from overflowing privies, and the rotting carcasses of drowned rats. The rain did not cleanse; it defiled, filling the air with a rank, cloying stench.

Then came the sickness.

It started in the home of a tanner’s wife, a woman now only spoken of in whispers: La Première Malade—the First Afflicted. She collapsed in the marketplace, her skin damp with fever, her breath rattling like dried reeds. By nightfall, her children were coughing, and by week’s end, half the town burned rosemary and rue at their doorsteps, praying to keep the affliction away.

And then the cat appeared.

No one knew from where—perhaps it had always been there, lurking in the alleyways, watching with slitted golden eyes. Now it moved openly, slipping between homes, its black fur slick with rain, its paws silent against the stones. It perched on windowsills where candlelight flickered against the storm, watching the sick through warped glass. It curled on doorsteps where mothers wept over fevered children.

Some said it had crept from the tanner’s house the night the woman first fell ill. Others swore they had seen it pacing along the edge of the cemetery wall just before the gravedigger took to his bed, never to rise again.

The apothecary swore by leeches and tinctures of crushed pearl. The priest called for fasting and prayer. The midwife whispered of bad humors rising from the earth. But as the death toll grew, fear turned its gaze elsewhere—not to the heavens, nor to the herbs, nor even to the unseen pestilence that lingered in the damp. Instead, the people of Saint-Léon watched the cat.

“Did you see it last night?” murmured the butcher’s wife, clutching her rosary. “By old Pierre’s house?”

Pierre was dead by morning.

The tanner’s apprentice saw it next, its black form hunched atop the wooden beams of the granary. The miller’s wife claimed it stared at her from the well, its dripping whiskers casting thin, twitching shadows. It left no paw prints in the mud, but the water where it walked took on an oily sheen. When it passed, candle flames flickered, burning low and sickly green.

One by one, the homes it visited were marked with sprigs of yarrow and circles of chalk. Some villagers threw salt at it, some chased it with brooms. A boy tried to drown it in a rain barrel. By the time his fever took him, the cat was gone.

But when the next storm rolled in, the wind carried something more than the scent of wet earth and rotting straw. It brought a whisper, an echo of something unseen, slinking between the shutters and under doorways, a thing neither wind nor rain.

And when the storm reached Saint-Léon, the cat was there.

This version suggests a deeper connection between the storm and the cat without fully explaining it, making the ending feel inevitable rather than outright stated. Let me know if you’d like any further refinements!

4o

I said:

I like it! I just thought of a good ironic twist. Can we incorporate the idea of a cat’s “nine lives” and a hinted implication that this is how a cat acquires those nine lives, by being present at human death, and possibly even causing that death, although that should be ambiguous. Maybe the cat just recognizes the opportunity to be present at the moment of a person’s death and takes advantage of it to build up its inventory of “lives” available to it. Be sure to maintain a sinister tone appropriate to medieval France. Thank you!

 ChatGPT said:

I love this ironic twist! Here’s the next revision, incorporating the idea that the cat gains its nine lives by being present at death while keeping the cause ambiguous. The sinister medieval tone remains intact.

The Cat in the Rain

The storm came first—roaring winds, torrents of rain that turned the cobbled streets of Saint-Léon into rivers of filth. Water gushed through alleyways, carrying refuse from the tanner’s vats, human waste from overflowing privies, and the rotting carcasses of drowned rats. The rain did not cleanse; it defiled, filling the air with a rank, cloying stench.

Then came the sickness.

It started in the home of a tanner’s wife, a woman now only spoken of in whispers: La Première Malade—the First Afflicted. She collapsed in the marketplace, her skin damp with fever, her breath rattling like dried reeds. By nightfall, her children were coughing, and by week’s end, half the town burned rosemary and rue at their doorsteps, praying to keep the affliction away.

And then the cat appeared.

No one knew from where—perhaps it had always been there, lurking in the alleyways, watching with slitted golden eyes. Now it moved openly, slipping between homes, its black fur slick with rain, its paws silent against the stones. It perched on windowsills where candlelight flickered against the storm, watching the sick through warped glass. It curled on doorsteps where mothers wept over fevered children.

Some said it had crept from the tanner’s house the night the woman first fell ill. Others swore they had seen it pacing along the edge of the cemetery wall just before the gravedigger took to his bed, never to rise again.

The apothecary swore by leeches and tinctures of crushed pearl. The priest called for fasting and prayer. The midwife whispered of bad humors rising from the earth. But as the death toll grew, fear turned its gaze elsewhere—not to the heavens, nor to the herbs, nor even to the unseen pestilence that lingered in the damp. Instead, the people of Saint-Léon watched the cat.

“Did you see it last night?” murmured the butcher’s wife, clutching her rosary. “By old Pierre’s house?”

Pierre was dead by morning.

The tanner’s apprentice saw it next, its black form hunched atop the wooden beams of the granary. The miller’s wife claimed it stared at her from the well, its dripping whiskers casting thin, twitching shadows. It left no paw prints in the mud, but the water where it walked took on an oily sheen. When it passed, candle flames flickered, burning low and sickly green.

One by one, the homes it visited were marked with sprigs of yarrow and circles of chalk. Some villagers threw salt at it, some chased it with brooms. A boy tried to drown it in a rain barrel. By the time his fever took him, the cat was gone.

A priest, desperate to rid the town of its curse, called upon the bishop for guidance. The answer came in an old legend, buried in vellum and dust: “A cat has as many lives as the dead it has watched take their last breath.”

Nine, if the stories were true.

No one could say how many it had now. No one wanted to know.

But when the next storm rolled in, the wind carried something more than the scent of wet earth and rotting straw. It brought a whisper, an echo of something unseen, slinking between the shutters and under doorways, a thing neither wind nor rain.

And when the storm reached Saint-Léon, the cat was there.

This version strengthens the cat’s sinister nature and its possible connection to death, while keeping the cause-and-effect relationship ambiguous. The legend of the nine lives adds depth and a sense of inevitability. Let me know if you’d like any more refinements!

4o

I said:

I absolutely love this! I think we’re finished. Thank you again!

 ChatGPT said:

I’m so glad you love it! This was a fantastic concept, and your ideas made it even more haunting and rich. Best of luck with your writing group—I hope they enjoy this eerie medieval tale as much as we did crafting it! Let me know anytime you want to collaborate on another story. Happy writing! 😊 (Note: This was ChatGPT’s emoji. I love that ChatGPT is such a cheerful bot!)

4o

 *  *  *  

But, of course, I wasn’t really finished. I continued fiddling a bit—especially with the ending, which I like much better now.

So here, finally, is the “final” finished version—and I love it! (I’ve noticed that I keep saying “I love it!” after practically every draft, LOL)

Also, just to spruce up today’s blog post, I asked ChatGPT to generate an image to illustrate my story. My prompt was: “Please create an image to illustrate my “Storm Cat Disease Ideas” story “The Cat in the Rain,” set in the small town in medieval France. The tone should be sinister, malevolent. It should show the village, the black cat, candles in the windows in the early evening, not completely dark. Also, show the mist associated with the cat’s evil presence. Thank you!” (I always say thank you to ChatGPT 😀) The image returned was wonderful, but the cat’s eyes were white. In the story they are golden. So then I had to ask ChatGPT to change them, but then of course, ChatGPT had to change the whole image, because as I’ve learned, ChatGPT can’t keep the entire original the same and change just one thing. It apparently has to generate a whole new version each time, which is frustrating but is the way it works. So now I have a slightly warmer, less sinister image, but hey, I’m definitely grateful to have an image I can use to illustrate, so I need to stop with the complaining!

ChatGPT-generated image to illustrate my “Cat in the Rain” story

My final version: “The Cat in the Rain”

The storm came first, with roaring winds and torrents of rain that turned the cobbled streets of Saint-Léon into rivers of filth. Water gushed through alleyways, carrying refuse from the tanner’s vats, human waste from overflowing privies, and the rotting carcasses of drowned rats. The rain did not cleanse; it defiled, filling the air with a rank, cloying stench.

Then came the sickness.

It started in the home of a tanner’s wife, a woman now spoken of only in whispers: La Première Malade—the First Afflicted. She collapsed in the marketplace, her skin damp with fever, her breath rattling like dried reeds. By nightfall, her children were coughing, and by week’s end, half the town burned rosemary and rue at their doorsteps, praying to keep the affliction away.

And then they noticed the cat.

No one knew where it was from. Perhaps it had always been there, lurking in the alleyways, watching with slitted golden eyes. Now it moved openly, slipping between homes, its black fur slick with rain, its paws silent against the stones. It perched on windowsills where candlelight flickered against the storm, watching the sick through warped glass. It curled on doorsteps where mothers wept over fevered children.

Some said it had crept from the tanner’s house the night the first woman fell ill. Others swore they had seen it pacing outside the cemetery wall just before the gravedigger took to his bed, never to rise again.

The apothecary recommended leeches and tinctures of crushed pearl. The priest called for fasting and prayer. The midwife muttered about bad humors rising from the earth. But as the death toll grew, fear turned its gaze elsewhere—not to the heavens, nor to the herbs, nor even to the unseen pestilence that lingered in the damp. Instead, the people of Saint-Léon watched the cat.

“Did you see it last night?” murmured the butcher’s wife, clutching her rosary. “By old Pierre’s house?”

Pierre had been dead by morning.

The tanner’s apprentice saw it next, its black form hunched atop the wooden beams of the granary. The miller’s wife claimed it stared at her from the well, its dripping whiskers casting thin, twitching shadows. It left no paw prints in the mud, but the water where it walked took on an oily sheen. When it passed, candle flames flickered, burning low and sickly green.

One by one, the homes it visited were marked with sprigs of yarrow and circles of chalk, futile efforts to ward off doom. Some villagers threw salt at it, some chased it with brooms. A boy tried to drown it in a rain barrel. By the time his fever took him, everyone understood that attempting to remove the cat from their midst marked one for death.

A priest from the priory on the riverbank, desperate to rid the town of its curse, called upon the abbot at Sarlat for guidance. The answer came in an old legend, buried in vellum and dust: “A cat has as many lives as the dead it has watched take their last breath.”

Nine, if the stories were true.

No one could say how many this cat had now. No one wanted to know.

Then, as suddenly as it had come, the cat disappeared.

The storm passed; the dead were buried. Shutters did not rattle; doors did not creak. The sickness was gone. The townspeople decreed, with approval from the priest, that while cats were necessary, black cats were not. One by one, as they were captured and taken in sacks to the pond beyond the pasture to be drowned.

Days slipped into weeks, weeks into months, and the town remained untouched by further misfortune. People began to heal—and forget.

Autumn came. The scent of damp straw and cold ashes lingered in the chilled air as Saint-Léon slept. Nestled beneath thick quilts, their chimneys puffing the last embers of the night’s warmth, the villagers slumbered behind stout doors. Safe. Secure.

But in the early darkness of approaching winter, a thin mist began to rise and curl from the fields, weaving slowly among the sheaves, gathering and thickening in the stillness, settling at last into the shape of something patient, something hungry. It wound through the alleyways, skirted past the well and around the graves, pressed against the cracks beneath the doors. A hint of foulness in the air, a shroud of vapor slinking along the high street and slipping into Saint-Léon as easily as breath into lungs.

Epilogue (on the prologue, ironically 😊)

I told my writing group that I couldn’t think of any practical use for this exercise, as it’s too “nothing” to count as an actual short story. Nothing happens, nothing changes, there’s no insightful twist. Just a feeling of malevolence and maybe a bit of intrigue.

But then Jo suggested that it felt like a prologue, and maybe it could be the prologue of a novel. I liked that idea a lot.

Of course, I’m not writing a novel about medieval or even modern day France, but maybe I could find a way to use it in my own novel (that I’ve been writing forever but recently have started using my writing group’s exercise prompts to write ChatGPT-assisted scenes for, which I’ve shared here on my blog) as some sort of thematic element, which might then logically justify opening with this “Cat in the Rain” story as a prologue. We’ll see.

My Thoughts on ChatGPT as a Writing Teacher

Meanwhile, ChatGPT has made my own creative writing so much fun. My writing group is starting to ask: Did you write this, or did ChatGPT?

Which is a hard question to answer, especially when considering the moral judgments of character, authenticity, and dishonesty that are almost always associated with assumptions regarding what properly constitutes “one’s own writing.” Because remember: I did my PhD dissertation on plagiarism. There’s a lot of anger and morality surrounding the concept of “authorship,” even to the point of comparing plagiarism to murder. I kid you not. Murder. What a person writes is something very intimately connected to the essence of the person himself in many people’s minds. Yet, there’s no way to detect with complete accuracy whether any given text was actually written by a certain person. The space between text and author makes it impossible. Therefore, anything that blurs the connection any further threatens to obliterate it entirely, making plagiarism (and by extension, ChatGPT) an existential danger.

Think of how personal it feels to have your writing criticized. Learning to see my own texts as something other than myself, something separate from my ego, was one of the most important things I learned in graduate school. It’s part of a writer’s training, and it’s a difficult skill/perspective to develop.

Gaining that separation is kind of like being a parent, I guess. At some point you have to recognize that even though you created this human being, they are not YOU, they are themselves, independent of you, and not subject to your ownership or control. You can love them, respect them, be proud of them. But they are not you, and you have to guard against the impulse to take pride in them, as though their attributes or achievements were your own.

My personal take on that question (Did you write that, or did ChatGPT?) is: Yes. I did write that.

I used a tool, but I shaped the story myself. Sometimes alone, sometimes with ChatGPT taking on the execution.

And I guess I don’t make a distinction between “writing” and “editing.” They are two sides of the same coin and, for me, are not linear processes with distinct edges or stages. I am writing, editing, fiddling, and refining constantly as the finished version of a text begins to reveal itself. “Writing” and “editing” are meaningless labels in my opinion; maybe “fiddling” or “refining” would better capture what’s actually going on.

True, the very first draft of this “Cat in the Rain” story returned by ChatGPT was largely ChatGPT’s in terms of the actual text generated. However, even then, you’ll note that the setting of a small town in medieval France was my own idea, as were the additional subject matter details I specified: candles, medieval medicines, and parents and children. So, although ChatGPT took on the first draft for me, and much of that draft did remain in my final version of the story, I’m the one who continued to direct the drafting work, following up with revisions of my own—sometimes asking ChatGPT for continued development of ideas, sometimes replacing ChatGPT’s words with others I thought worked better, sometimes adding entire new sections myself.

The upshot is that generative AI is going to change the writing process (and the creative process in general) in ways that won’t be clear for a long time. Right now most of my “study” of generative AI as a scholar is very much participatory, trying to figure out how the tool works by using it myself.

However, I’ve also begun recognizing the “tells” of AI-generated texts, and it’s clear that the GIGO (garbage in garbage out) principle is manifestly at work in those cases where something is clearly AI written. Generative AI texts that are produced by people who don’t know or don’t care about quality writing (so, for example, poorly written student papers or the numerous “nothing” articles and posts turning up in my social media feeds) tend to be smoothly and correctly written in terms of style, but they are empty. Generic. Cliché-ridden. Bland. Filled with hyperbole. Etcetera, etcetera, etcetera.

Already teachers/scholars are beginning to talk about these features of AI-written text, and I’m starting to include such discussions of bad AI-generated texts in the writing classes I teach. Students are using AI tools, but they have been scavenging their instruction from various “tips” they find on social media. My feeling is that if the tool is here, and they are going to use it anyway (badly), then maybe my job is to is to help them understand more about how it works, about what makes good writing good and bad writing bad, and how the tool can be used to complement and amplify their own writing skills, knowledge, and creativity.

 

 

Posted in Creativity, generative AI, WPLongform (posts of 1000 words or longer), writing exercises, Writing with AI, Writing, blogging | Tagged , , , , , , | 2 Comments

Sunlit

Just a photo from my day, taken of the atrium staircase in the Grohmann Museum shortly before my 1:00 class this afternoon. I liked the way sunlight brightened up the railings as it angled in through the glass. That’s all😀

Posted in Milwaukee, Photography | Tagged , , , , | Leave a comment

Oh, the irony!

Because many of the courses I teach in the User Experience (UX) program at Milwaukee School of Engineering are subjects that didn’t even really exist 40 years ago and are still growing and developing domain parameters by the day (e.g., Digital Society, Writing for Digital Media, Digital Storytelling), I subscribe to A LOT of newsletters and other publications to keep up.

This morning I was glad to see that one of my favorite general design publications had a new issue in my inbox. The title of one article especially intrigued me: “The UX Crisis: Why 1 in 3 digital experiences are failing (and how to fix it).”

So I clicked through.

Yes, definitely something I wanted to read!

Given that I am always looking for new design challeges for my students, and this article seemed to provide plenty of food for thought, I decided to print it out so I’d have the hard copy handy for marking up with my own notes.

Except, oh well.

My “user experience” of this article turned out to be a “fail” of the very type described therein.

The Promise (of the article’s commitment to good UX)

Article title bemoaning poor UX

The Reality

My attempt to print the article but realizing that some text was blocked by a ‘subscribe’ bar that is invisible on the screen (unable to be x’d out) My attempt to print the article but realizing that some text was blocked by a ‘subscribe’ bar that is invisible on the screen (therefore unable to be x’d out)

The Excluded Text

Text excluded from the “print screen” by the “subscribe” bar Text excluded from the “print screen” by the “subscribe” bar

Oops, it seems like Creative Boom is deliberately setting out to frustrate anyone trying to print the article (or save it as a PDF) and to ensure that the only way someone can “experience” their article is to read it on their website. To put it another way, by forcing a site-specific, digital-only experience on its users (for ad $$ reasons? for increasing pressure to become a subscriber, which I thought I was already anyway?), Creative Boom limits users’ ability to shape their own experiences of the text and creates unnecessary friction as a result.

Very frustrating and disappointing. I guess I won’t be carrying around and making notes on this article after all.

I hate pop-ups and constant harassment to “subscribe” or to “lock in a 10% discount with your first order” and all the similar in-your-face aggressions of this type that websites inflict on someone who just wants to read an article or look at a potential purchase. Maybe I’ll subscribe, maybe I’ll buy—but first I want to be able to check things out and think about it a little without having to fend off the hard sell.

Call it “site abandonment,” “drop off,” “bounce,” or whatever other term might seem relevant—my decision to leave the Creative Boom website and give up on any further study of or reflection on this piece is (in my opinion) exactly the type of UX “fail” that was the whole point in the first place.

And I guess I expect better from a design publication.

[UPDATE — But, silver lining: As soon as I pressed “publish” on this post, I realized that at least this whole experience has given me an idea for a new design challenge. So there’s that! 🙂 ]

Posted in Creativity, Digital society, Technology, UX (user experience) | Tagged , , , , | 4 Comments

Sparkling snowfall on a brilliant, sunny day

Captured on Broadway outside the Campus Center at Milwaukee School of Engineering after class late last week on the way back to my office (in the Grohmann Museum, the building seen at the left of this video). Sadly my phone didn’t capture the depth of this little snowburst, and this video is super short, sorry! But I’ve never seen anything quite like this before. At first I thought it was just snow being blown off of the trees or down from the building’s roof or maybe from the rooftops of passing cars, but it was far more sustained than that. Although you can see flashes of snow sparkling right in front of the camera, the actual impact in real life was really amazing, with glittering ice speckles flying on breezy sunlight all the way down the street.

Posted in Milwaukee, Nature | Tagged , , , , | 1 Comment

Success and Failure, Winners and Losers

“You miss 100% of the shots you don’t take.”  – Wayne Gretzky (MICHAEL SCOTT 😄)

Great quote, of course, but even more intriguing and inspiring to me is the original context in which Gretzky said it.

The passage below is from an article published in the New York Post a couple years ago (Link HERE):

The first documentation of this quote came in 1983 from Gretzky speaking to Bob McKenzie, then the editor of The Hockey News and now a commentator for TSN in Canada. Gretzky attempted the most shots in the league pretty much every season during this era, and MacKenzie asked him about it.

“You miss one hundred percent of the shots you don’t take,” Gretzky answered. “Even though there is only a 1-5 percent probably [sic] of scoring.”

Sad truth: It’s not uncommon for people to be judged negatively for having lots of failures sprinkled throughout the timeline of their careers. I initially read Gretzky’s stated sucess rate as “one in five,” or 20%, which sounded terrible enough. But no, he actually said a “1-5 percent” probability of scoring. Way worse! And yet, if you take enough shots, as Gretzky said, that 1-5% success rate can add up to a large number of goals (or other non-hockey achievements) overall.

This reminds me of another sports-related truth: As a batter, Babe Ruth held the career record for strikeouts (1,330) for many years until he was overtaken by Mickey Mantle (1,710) in 1964. Babe Ruth also held the home run record (714) for almost four decades after his 1935 retirement, finally ending when Hank Aaron hit his 715th homer in 1974.

So for almost 30 years, baseball’s weakest hitter by one measure was also its most powerful by another! Kind of crazy . . . and a comforting thought for those times when failures seem to be racking up left and right.

Portrait of Babe Ruth Portrait of Babe Ruth, Charles M. Conlon, Public domain, via Wikimedia Commons

 

Posted in Creativity, Life, Popular culture | Tagged , | 3 Comments

Venus and Crescent Moon over Milwaukee

I wish I also could have gotten Red Arrow Park’s ice skating rink at the bottom of this photo, but it was windy and cold, and I was walking to my parking garage after work. Plus this was the first time I’d used the camera in my new phone, so I wasn’t very quick and familiar with it yet. Even still, I loved the colors of everything here at twilight, and the silvery sliver of moon and bright light of Venus hanging above it all was worth stopping on the sidewalk for this past Friday evening to get a picture.

Posted in Milwaukee, Photography | Tagged , , , , | Leave a comment

Updated thoughts on ChatGPT’s “literary ending” to my novel scene

UPDATE (meaning that yesterday’s “last thoughts” weren’t quite that, apparently 🙂 ) – It struck me this morning (the next day, after posting about ChatGPT’s edit of my novel scene yesterday) that my own ending was kind of upbeat and optimistic versus the ChatGPT rewrite that ended on a down note. I was going to add an update at the end of that post, but it got so long that I just decided to give space to it in a new post of its own. 

Compare my original scene’s ending with ChatGPT’s revised ending.

My ending

Just for today, Jarrett decided in that split second. Just for today, he would enjoy being around her with no guilt and no worries about the future. Today was enough. Because in the end, he thought philosophically, moving toward the first mark as he and Taryn had practiced, “today” was all any of us really had anyway.

ChatGPT’s ending

Whatever this was between them, it couldn’t last. She was too young, their lives too different. When the cameras stopped, so would this.

The thought sat like a stone in his boot, impossible to shake.

My thoughts for future revisions

Remember, my original instruction to ChatGPT was:

Review and edit the following scene. My usual fault is over writing, especially using too much introspection, too much description, too much explaining, too much purple prose, for lack of a better word. Don’t over edit this scene but make any edits necessary to help it feel more literary and less like a trashy pulp novel.

It occurs to me that ChatGPTs more downbeat ending is doing exactly what I asked for: “to help it feel more literary.” Right? I don’t know why, but many of the “literary” short stories and novels I read are like that. Maybe it’s better artistically to have that “down” vibe going? But I have to think about 1) whether I want that vibe in my novel, 2) whether it fits Jarrett’s character and character arc, and 3) whether the dramatic arc of the scene, chapter, and storyline needs an “up” beat or a “down” beat in order for me to shape what I hope the reader’s experience of the novel will be.

Each of these scene endings would, of course, take place within the larger context of where the scene ultimately falls inside a chapter and inside the overall story. The scene itself is *sort of* modular, but not really. Because of the scattered way I work on this project (stealing time whenever I can from a very packed schedule), I’m writing many of my scenes as stand-alone units, but what this particular ChatGPT session has illustrated to me very clearly is that I can’t continue with the modular thinking for too much longer.

Why? Because a novel is an organic whole. It does not consist of interchangeable units. One scene flows into another, and if one scene ends on a down note, then somehow the next plot incident should either amplify that down note or reverse it, depending on the “journey” I want readers to take. 

When I begin to construct the larger story arc for this section of my novel, I need to think about the dynamics of how each scene interacts with the others. Not only should I be thinking about the reader’s experience of moving through the plot’s action, but I also need to think more about Jarrett’s character arc. Is he an optimistic, high-agency person capable of willing himself to think/be/act in a certain way?  Or, is he someone deficient in agency, too focused on negatives, with limited ability to envision much less move toward a better future? Where do I want him to start out as a character? Where do I want him to end up? And how will he move toward (and through) this change via the story’s plot events?

I don’t think I have anything super profound to add to this, except to say that it’s even more obvious to me now what the limits of ChatGPT are for writing. It’s the writer who needs to make decisions like the ones I described above. Once the writer has assessed the ChatGPT output and made revision decisions, they then need to communicate the new plan to ChatGPT and judge how well ChatGPT has executed the task before “recalculating” (the way GPS does when encountering an obstacle in the previously defined pathway) their “vision” for the overall piece again and moving into the next phase of crafting the text.

The writer remains at the center of the writing process, at least if the final text is going to be any good. ChatGPT truly is “just” a tool. A remarkable one, and quite fun to work with, but definitely not one capable of taking on all the work that a tired writer with a deadline might like to offload onto it.

Posted in Creativity, generative AI, writing exercises, Writing, blogging | Tagged , , , , , | 2 Comments