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Guest Post: Dawn Vogel on Fairy Tales and Fiction

Fairy tales have been around in one form or another for centuries, even if they weren’t written down and compiled into collections like Grimm’s Fairy Tales. They’ve changed over the centuries as well, shifting from folk stories to morality tales to more sanitized or “Disney-fied” versions of what they once were. In the process of this sanitization, oftentimes the messages the fairy tales purported to dictate have changed. Gone is the Little Mermaid who watched her beloved marry someone else, at which point she cast herself back into the ocean and drowned, showing us that you shouldn’t change for someone you love. Instead, we get the version where the mermaid and prince live happily ever after, flipping the moral to be that you can (and should?) change in order to make someone love you.

“Original” versions of fairy tales can be a loaded term, in that most of the fairy tales we know today existed in an oral format prior to being written down. When the stories were written down, they were not always faithful to the original tellings. Charles Perrault’s versions of fairy tales were reworked so they would be popular amongst the seventeenth-century French aristocracy. In the nineteenth century, the Grimm brothers, in the first versions of their compilations of fairy tales, acted primarily as transcriptionists, interested in recording the stories as they were commonly told among the German populace. In later versions of the Grimm brothers’ collections, however, they began the sanitization process, making the tales more family friendly.

There is no denying that many of the “original” fairy tales were violent, sexist, and gruesome. They’re filled with death, abuse, self-mutilation, and more. Some of these tales were likely used by the tellers to imbue the listeners (or readers) with specific moral values or lessons or warn them against things like going into the woods alone at night or engaging in other dangerous activities. Perrault and the Grimm brothers also added to these moral lessons but shaped them to their own times and audiences. For example, stories that originally included birth mothers often were changed to instead include stepmothers, who were invariably vain, evil, and not interested in the welfare of their young charges. That the “original” stories ascribed these same motives to birth mothers is a fascinating bit of historical curiosity, but that stepmothers were so much more readily demonized might be even more intriguing as an avenue of study.

Beyond even the changes that Perrault and the Grimm brothers made to the “original” fairy tales, modern sensibilities have again shifted the telling of these stories, cleaned them up further, and completely rewritten them into things that barely resembles the “originals”. Like the Little Mermaid example above, the retelling of fairy tales as children’s movies, often animated and turned into musicals, can obliterate the original meaning, though not always for the worse. The “original” Beauty and the Beast story from seventeenth-century France was written to prepare young girls for arranged marriages, and had an emphasis on learning to love someone you didn’t know, whereas the Disney version of Beauty and the Beast involves character growth for both Belle and the Beast, who learn to love each other, rather than simply expecting the woman to do all the work. This example, in particular, also reflects the time in which it was turned into a movie, considerably different from earlier Disney films in which the female protagonists sometimes were denied the agency that Belle is permitted. Other retellings of fairy tales have stripped away the morality entirely, or occasionally taken a story that was more about avoiding dangerous activities, in a way that did not really require a moral, and added a moral in for good measure (like various versions of Little Red Riding Hood).
Though the origins of many fairy tales are lost to history, the ability to compare various versions of tales as they have been told over the centuries is a fascinating endeavor, both for what they tell us about broadly defined history and what they tell us about storytelling and writing in various times.

About the author: Dawn Vogel’s academic background is in history, so it’s not surprising that much of her fiction is set in earlier times. By day, she edits reports for historians and archaeologists. In her alleged spare time, she runs a craft business, co-edits Mad Scientist Journal, and tries to find time for writing. She is a member of Broad Universe, SFWA, and Codex Writers. She lives in Seattle with her husband, author Jeremy Zimmerman, and their herd of cats. Visit her at http://historythatneverwas.com or follow her on Twitter @historyneverwas. Dawn’s latest book is The Cask of Cranglimmering, Book One of Brass and Glass.

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Creative AI vs. Creative Humanity: Guest Post by Laurence Raphael Brothers

AI is coming for your jobs, creatives! Or… it will be, eventually. Not this year. But coming soon.

Introduction
The last two years have seen surprising and indeed almost shocking advances in AI creative work. Image-generators like Dall-E, Midjourney, and Stable Diffusion that work from text prompts using diffusion models are capable of some amazingly high quality work at times, though admittedly their understanding(1) of fingers still leaves something to be desired. The even more astonishing ChatGPT can sometimes not just hold conversations that pass the Turing Test, but can also create working computer programs, compose poetry, and also write coherent short stories, apparently from scratch.

Some may reasonably argue the work of such AI systems isn’t creative at all, but is a mere regurgitation or combination of human efforts compiled from its training sets. But on the other hand, much of human art is based on pastiche and emulation, not to mention plagiarism, and both writers and artists have to spend years of training learning the techniques passed on by their instructors.

The State of the Art

Caption: Protagonist Bunny Häschen from my novel in progress. Generated by Stable Diffusion 2.1 using the text prompt “intersex bunny detective”. A generally rather appealing caricature, but note the odd left hand, the characteristic nonsense characters in the sign, the content oddity of them holding a sign at all, and the mysterious flap rising out of their cravat.
Source: Stable Diffusion

Recent developments are truly astonishing given previous struggles to get AI systems to create art, prose, and other works. It’s now possible to type a few words and get some art back in a minute that might have taken a human hours or even days to produce from scratch. The quality of the AI-generated art is quite variable; from one request to another you might get back commercially usable material or you might get worthless trash. But even considering that you may have to make quite a number of requests of the system to obtain a usable image, the results are still much faster and cheaper than using a human artist for the equivalent level of work.

It’s arguable that if created by a human, these AI-generated images would sometimes be direct plagiarism. Even when not clearly a direct copy of an existing work, it’s often the case that the AI system builders failed to obtain artist permission to incorporate their work into the system’s training data. The legal consequences of this failure will work themselves out in the courts, but for now there’s nothing stopping people from making use of these tools.

At present, complete high-quality AI art is generally unobtainable no matter how much time is taken playing with prompts, but on the one hand, commercial-grade art is often quite acceptable, and on the other hand, by using the AI’s art as a basis, a skilled digital artist can create a high-quality composite of human and AI art much more quickly than working from scratch. This, for example, is what Tor did with Christopher Paolini’s recent book cover.

In the world of prose, with suitable guidance ChatGPT can generate a coherent and consistent story, but not one that’s very high quality. Without substantial revision, the current quality of such text is typically mediocre, but at present it’s not inconceivable for some exceptional AI-generated story to make it past a slush reader’s quality threshold and at least be held for review. Quite the achievement considering the high level of competition many magazines impose on contributors. This is already motivating many AI-generated submissions, though it’s unclear if they are meant for prestige and profit for their pseudonymous submitters or to count coup. Clarkesworld, for example, has reported a recent spike in AI submissions despite their guidelines to the contrary.

The Future of the Art

Because these recent developments in AI art generation have seemed to come almost from nowhere, it’s hard to say how rapidly they will improve to match or even exceed human capabilities. We should keep in mind that autonomous cars were expected to be widely available by now on the basis of work done in the 2010s, and yet after a promising beginning, only slow progress has been made and such vehicles are still unsafe on real-world roads.

On the other hand, given the eagerness of many extremely well-funded tech groups to work in this area, including not just OpenAI but Microsoft and Google among others, it’s reasonable to expect further progress up to a point. What’s the limit? For current system architectures, I expect that limit is based on these systems’ lack of explicit real-world knowledge. Just as ChatGPT is capable of absolutely authoritative but totally incorrect and easily refutable statements, these systems will be hamstrung by the inability to reason until such capabilities are combined with their generative models.

Let’s establish three bars:

  1. Acceptable low-grade commercial art. The kind of graphic art that creative freelancers currently make to order for ad campaigns and other commercial applications without much funding, but which will still pay their rent. Equivalent prose would be acceptable for publication in some token and semipro magazines and for routine copywriting assignments.
  2. Acceptable high-grade commercial art. Commercial art produced for highly funded campaigns by major agencies and design firms, or prose and content that can be published in the better magazines and journals.
  3. Superior-to-human fine art. Masterpieces that would displace human efforts from galleries and museums and bookstore racks and win awards if AI and humans competed on a level playing field.

We’re currently just entering stage 1 for certain applications. This means that soon some semipro freelancers may experience serious competition from AI systems, and after a while some agencies and design firms may reduce their staff because their routine low-end work can be done by machine. There will still be plenty of human work involved in revising, incorporating, or compositing AI work into larger and higher quality artistic achievements, but the amount of human touch in the overall process will diminish.

At stage 2, entire industries will be turned upside down and the effects will shake up whole economies. For example, design firms may no longer require creatives, or else the few creatives they retain will largely be employed managing requests to AI systems. There will be no more need for human touch in photoshopping or otherwise compositing AI art with human-created elements as in stage 1; the AI will do all the work on demand. (Note that while some very high quality AI art has been created already, it typically requires considerable manual effort from a human to achieve such a level).

The good news is that my average-case guess for stage 2 is at least ten years, and it may well be generations before this level is achieved. The bad news is that I could be wrong and it could be next year. I was shocked by ChatGPT’s capabilities in 2022 after years of crappy chat bots that wouldn’t fool Turing for a minute, and so I may easily be wrong again. Still, I do think that without explicit real-world knowledge and reasoning abilities these tools will be unable to really excel for quite some time. At present no one has any idea how to give a generative AI system that kind of understanding.
At stage 3, humans start wondering why they should even bother creating art, especially if such superior work can be routinely requested of AI systems by anyone without incurring much cost.

Similar considerations apply for stage 3, which to my mind requires Artificial General Intelligence to achieve. Such a system is not absolutely out of the question. We just don’t know how to build one today, nor do we even have a good idea on a direction to follow to achieve such a goal.

Still, even stage 1 is problematic enough for human creatives. I’d guess full stage 1 will be achieved within five years, and whatever the courts decide about existing systems and their theft of artist work without permission, one way or another AI-generated art will become ubiquitous for inexpensive applications.

(1) Indeed, the reason that such systems don’t know how to draw fingers properly is they don’t even understand the concept of fingers. These systems don’t have old-fashioned knowledge bases that contain explicit facts or relations. The appearance of a hand is emergent from mysterious mathematical features derived automatically from the digitized training set. Discrete counts of things that characteristically appear in fixed numbers in nature but are often hidden from view in individual images can be problematic for such systems. Human images very frequently show two clearly identifiable arms and legs and so AI images get these right more often than not (not always however!) but hands in photographs less frequently show all five fingers clearly, and so generated images often don’t do so either.


BIO: Laurence Raphael Brothers is a writer and a technologist with five patents and a background in AI and Internet R&D. He has published over 50 short stories in such magazines as Nature, PodCastle, and Galaxy’s Edge. His noir urban fantasy novellas The Demons of Wall Street, The Demons of the Square Mile, and The Demons of Chiyoda are available from Mirror World Publishing, while his new standalone novel The World’s Shattered Shell has just been published by Water Dragon.
Pronouns: he/him.
Twitter: @lbrothers.
Mastodon: @laurence@petrous.vislae.town.
Website: https://laurencebrothers.com.

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Guest Post: Brian McNett Serves Up Colorful Purple Wheat Noodles

A bit of a preamble. I often say things which are completely true, only to be confronted by people who flat out claim that I’m only making it up. That I *must* be making it up. There’s no way the very true thing I just said is true.

I’ve learned to cite my sources. So, before we begin, a word about the color purple. Not the movie, although it was good. Very good. Alice Walker’s novel won the Pulitzer in 1983, and went on to become both a hit musical, and the film starring Whoopi Goldberg in her debut as an actress. It might have been something far less in the hands of a director other than Steven Spielberg. But no, not here to discuss film. Here to discuss food, so:

Anthocyanins! Water-soluble, vacuolar, pH-sensitive pigments! Part of a parent class of molecules known as ‘flavonoids’. Mostly 3-glucosides of the anthocyanidins… The important bit is that under the right conditions, they make plants PURPLE.

All plants have some anthocyanins in them; in the stems, the leaves, the fruit, or the flowers. So, finding a natural variety of say, wheat, with a particularly high anthocyanin content in the grain is, in fact, entirely expected. This is what we find: Ethiopian Blue-Tinged Emmer. It is a cultivar selected in (obviously) Ethiopia by Dan Jason of Salt Spring Seeds, who brought back two blue-tinged seeds from a trip to Ethiopia in 1993.

“Purple grain colour is caused by anthocyanins in the pericarp whereas blue colour is caused by anthocyanins in the aleurone layer. Purple grains occur in tetraploid wheats from Ethiopia, and in one bread wheat accession apparently native to China.” –Zeven, A.C. Euphytica (1991) 56: 243. https://doi.org/10.1007/BF00042371

Tetraploid wheat. Not diploid like commercial wheat. Wouldn’t it be fun to cross a tetraploid wheat with rye? You’d get tetraploid triticale. And if you used an anthocyanin wheat, you’d have Anthocyanin Quadrotriticale! Super-hardy, purple, grows-almost-anywhere wheat, and the Klingon Empire would kill to get this stuff. And Guinan would advise Picard to keep it away from the Ferengi. Hey, there’s Whoopi Goldberg again!

But, I’m supposed to be cooking, aren’t I? I’m getting to it, really I am.

Hagos Hailu Kassegn has done a full determination and analysis of the proximate bioactive compounds in anthocyanin wheat. Total anthocyanin content (TAC) in anthocyanin-colored purple wheat was found to have a mean value of 197.4 mg/100 g. — Hagos Hailu Kassegn & Fatih Yildiz (2018) Determination of proximate composition and bioactive compounds of the Abyssinian purple wheat, Cogent Food & Agriculture, 4:1, DOI: 10.1080/23311932.2017.1421415

Purple wheat is a very real thing. Its Abyssinian origins have been known for over 100 years.

It only stands to reason, therefore, that there must be purple wheat products. I don’t have to invent imaginary purple wheat noodles. There are real purple wheat noodles out there. Let’s go find some.”¨”¨Hans Lienesch, runs a blog called “The Ramen Rater” from his home in Edmonds, WA. Not too long ago, he rated Purple Wheat Noodles from Koka in Singapore.

https://www.theramenrater.com/2014/01/11/1282-koka-purple-wheat-noodles-aglio-olio-flavor/

Ta-da! There they are. A purple wheat product. Made slightly MORE purple by the addition of some blue corn.

What are we going to do with these purple wheat noodles? We’re not making ramen, that’s certain. Anthocyanins are water soluble, didn’t I say so? They’ll turn the broth purple. Totally not fun. Indeed the package of Agilo-olio flavor Purple Wheat noodles is labeled “Dry Noodles.” Not technically ramen, but intended for stir-fry dishes.
So”¦

Where to find purple wheat noodles? It just so happens that I spent the first six months of 2018 across from the coolest multi-ethnic supermarket in the known universe: Saars. It’s kinda like H-Mart only more or less regional to the Seattle area (sorry, entire rest of the planet). Imagine that the very best Asian market and the finest Mexican market fell madly in love with each other (apparently this story is best told by Chuck Tingle), and eloped to Las Vegas for an impromptu wedding complete with Elvis impersonator. Saars is their love-child.”¨So here we are in my kitchen with a FIVE-PACK of Koka Purple Wheat Noodles, some onion, bell peppers, and thin slices of beef.

This next bit is really simple. Prepare the noodles to package directions and set aside. Sauté the beef and set aside. Slice the onions, and peppers and sauté. Reintroduce the beef to the pan, add in the noodles, and plate in shallow bowls. Yes, I know. This is nearly 800 words just for a single paragraph of not really recipe.

Top with mixed crushed nuts, fried onions, and sesame-seed furikake. This is a delightful meal and multi-colored to boot. Whether or not anthocyanin actually have any real dietary impact is an exercise best left to a nutritionist.

Enjoy this writing advice and want more content like it? Check out the classes Cat gives via the Rambo Academy for Wayward Writers, which offers both on-demand and live online writing classes for fantasy and science fiction writers from Cat and other authors, including Ann Leckie, Seanan McGuire, Fran Wilde and other talents! All classes include three free slots.

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