The Trolley Solution by Shiv Ramdas

This follows straight after Qiankun and Alex in The Best Science Fiction of the Year - Volume 7 and it is also about a teaching AI.

The story follows Ahmed, a professor at a university in India teaching creative writing. Management has decided that an AI can basically replace human teachers, and Ahmed is tasked with “showing it the ropes”.

Published only 3 years ago this is barely science fiction anymore, as educational institutions across the world has to deal with AI technology one way or the other. The story here is very much sort of “on the nose” when it comes to its message on why it is a terrible idea, and it is really hard to disagree here. However, I did become slightly annoyed at the lack of nuance and complexity in the presentation here. To its credit though, there is an interesting twist or unexpected turn of events in the end, that I didn’t actually see coming and in a way reverses the indiscreet tone of the rest of the story.

Can’t really make up my mind about this, but it is worth reading

Read in The Best Science Fiction of the Year - Volume 7, edited by Neil Clarke
Originally published in Slate
Rating: 3

Qiankun and Alex by Hao Jingfang

This story translated from Chinese by Xueting Christine Ni is a bit similar to Machine Learning with a small story about an AI that learns about humans through interaction with children.

The AI is sort of a functioning babysitter for Alex as he plays around the house, chasing the cleaning robot or interacting with screens. The AI is observing and noting many things as incomprehensible with how the kid’s behaviour isn’t exactly logical. But the AI actually manages to learn something new from this and forms it’s own insight and motivation.

This is a cute little story with a positive upbeat feeling. It may not be super deep or groundbreaking, but just a sweet little story about the childlike joy of learning about the world.

Read in The Best Science Fiction of the Year - Volume 7, edited by Neil Clarke
Originally published in Sinopticon: A Celebration of Chinese Science Fiction
Rating: 3

Machine Learning by Nancy Kress

Reading Nancy Kress’ take on where machine learning might take us in a story from 2015 is a testament to how good she is at seeing where current technology trends might lead. Or maybe it is just because she got an insight view into what Microsoft was working on at the time for this anthology. In this story we follow a researcher trying to make an AI model better at reading human emotions.

In this future a terrible virus has killed millions of kids across the world, and the researcher Ethan lost his daughter to it. He buries himself in work with an AI program by training it with letting the program teach kids, where the kids indirectly also teaches the program. This narrative opens up interesting themes about how humans deal with emotions and whether everything can be deduced to just data points for a machine learning AI.

While I do love stories that explore such themes and Kress is often the best at that sort of thing, it comes of as mostly half finished here. The world building is too complex for what the story really needs, there are too many characters that remove focus from Ethan and while it did like the rather pessimistic ending, it did left me wanting for more character depth.

I think this could actually be a good basis for a movie script with an actor that excels in subtle acting, but the story is just an intriguing concept for something more.

Read in Future Visions: Original Science Fiction Inspired by Microsoft
Rating: 2+

The Time Capsule by Alice Towey

There is something fundamentally compelling about imagining who will find the probes we send into space. This short story tells such a story set in far future that has lost most of advanced technology.

Corrinne finds a fallen probe in the middle of a desert and she is able to activate a video recording from it. A woman appears on screen stating the date as February 11, 2089 and that the probe will go to the Kuiper Belt and she recorded this journal hoping someone will find it some day. The world Corrinne is in is hundreds of years later than that and in a ruined world where people know of this type “old tech”, which can be valuable but should be dealt with caution. Corrinne knows she has something valuable here that could be traded in, but she also comes to feel a connection with this woman on the video recordings.

While there is a plot about what happens to the probe, the real story is about those two futures and in particular what we can deduct about the 2089 world. Corrinne might live in an post-apocalyptically future, but the real tragedy is told in the video journal from the probe.

Read in Clarkesworld August 2024
Rating: 4

Spark of Genius by Michael F. Flynn

I previously reviewed “If It Ain’t Broke” by Maya Kaathryn Bohnhoff from the same issue of Analog and this story by Michael F. Flynn deals with a surprisingly similar theme of what is basically generative AI and its use in literature.

Ken has handed in his manuscript for his latest novel and his editor is full of praise saying that he has finally found his voice. Ken is however having personal doubts as he has created an artificial neural net, fed it with tons of books and it has written this novel for him. It is almost a 1:1 a description of current generative AI models.

As a fairly short piece, it doesn’t go much further than setting up the basic premise and the open ended question for what this might mean for humans and art. The following quote from the story emphasizes what many feel is at stake with how the current AI technology is going:

“Except it wasn’t his voice, at all. It was the voice of a machine. The machine had found the words and the machine had put them together into brilliant metaphors and images; into crisp dialogue that crackled with irony. The machine had learned something by studying the works of the greats; some spark of genius that had always eluded him.”

p. 144

In this story, the machine is able to create a story with a “soul” - which in itself becomes a philosophical question what that is, but it is the generally consensus that current generative AI models are not on the level of good human writers. That doesn’t mean the threat of being replaced is not there and the story briefly touches on what defines creativity, which I would argue is more than just getting input from previous works and re-sample them into a different output.

Read in Analog January 1991
Rating: 3+

The Woman Who Destroyed Us by S.L. Huang

What defines a persons identity is a one of my favorite philosophical questions to see explored in literature or film. This story takes a very direct and confrontational approach to this topic.

In a near future a technology exists that can basically “fix” peoples mental problems with a brain implant. The story follows Maggie who feels that this implant killed her son Henry. Not in the literal sense, but she thinks it has changed him so much that he is no longer the same person. Henry had various diagnoses before the implant and he is very happy with who he is now. Nonetheless, Maggie sets out to find a way to get revenge against the technology’s inventor.

There is so much potential in this topic and the story does handle all the dilemmas in an engaging narrative. It is also just rather surface level, as we follow Maggie and her internal critical dialogue of the whole procedure that sometimes reads like an opinion piece. I am missing some emotional core or exploration of why she feels her son is gone as a person, even though he is alive and well. For me as a reader, I was mostly engaged intellectually with the dilemma - not emotionally. A story like “Second Person, Past Tense” by Daryl Gregory covers similar themes and with more direct character insight in my opinion.

That is also somewhat unfair to the author, me criticizing the story for wanting it to be something different than it is. Huang wanted to write this story in this manner and she succeeds. Plenty of food for thought on how we think about mental diagnoses and whether that should be a defining feature of a person.

Read in Forever Magazine, August 2024
Originally published in Twelve Tomorrows
Rating: 4

A Family Matter by Robert Morrell Jr.

This story is both rather unique and very formulaic. The basic story follows a well known structure of someone getting kidnapped and having to escape, almost like a standard horror movie, but told with a bunch of gallows humor in a wisecracking jokey style.

Lyle discovers something weird in his DNA test, but before he can dive deeper into the matter, he finds himself in a horrible situation being kidnapped by a fanatic cult that tries to force him to impregnate a young girl, due to their belief that it will bring a holy child of some sort. Most of this story doesn’t really need to be science fiction, but the entertainment value is high as we follow Lyle’s attempts at escape and survival.

The story is formulaic in the sense that it went exactly where I expected it to, but the author adds a pretty funny and captivating writing style that makes it worth reading. It could have been one of the more experimental goofy episodes in the 6th X-Files season.

Read in Asimov’s July/August 2024
Rating: 3

Out in the Dark by Linda Nagata

This story is set in an technological advanced future where it is possible to restore a person from a backup into a new body. However, there are strict rules to this technology - prohibiting the existence of more than one copy of a single person. This is a well-trodden theme of the genre, like the award winning Think Like a Dinosaur by James Patrick Kelly.

Here we follow the police officer Zeke as he is assigned a case about a woman with an unknown identity. Something doesn’t add up and Zeke suspects that she may an illegal copy.

The narrative goes where most readers would expect it to go, with a difficult dilemma of who has the right to exist, what defines personhood and where the moral limits of the law is. It is well written, set in a believable future with interesting nuanced characters.

Read in Analog June 2013
Rating: 3

I'm Waiting for You by Kim Bo-Young

Joe Haldeman wrote the best novel on the effects of time dilation with The Forever War and when it is done well, it is a powerful storytelling device. This story translated from Korean by Sophie Bowman is told through a series of letters written by a man to his wife-to-be, as they are both travelling to Earth to get married.

The writer of the letters is very eager to leave Alpha Centauri to return to Earth for his wedding with his fiancée. She is also travelling home from another star system and they have their journeys planned so they both arrive close to their wedding on Earth. However, with interstellar travel at light speeds - even minor disruptions or delays can mean years in Earth time.

A series of unfortunate events and bad decisions makes their plans go south. Months becomes years and years becomes decades for the poor guy. The letters gets increasingly more sad and desperate to read.

As the time difference becomes even greater the story evolves into something larger than the simple marriage story it began with. It goes unexpected places and while the letter format continues, it kept surprising me. A very well written emotional love story.

Read in The Best Science Fiction of the Year - Volume 7, edited by Neil Clarke
Originally published in I’m Waiting for You and Other Stories
Rating: 4

If It Ain't Broke by Maya Kaathryn Bohnhoff

While this story may not be remarkable, and it seems mostly forgotten as it has only been reprinted once since 1991, it does offer a quaint perspective on current “complicated” relationship between generative AI models and art.

Nina is an artist and works with paintings. As all artists she is struggling to make a name for herself, experimenting with a lot of abstract surreal paintings. Her apartment is rather messy, so her friend Eugene gives her some of his experimental nanomachines as they can actually help with the cleaning. They work by having some default patterns which they aim to restore, so they are able to discern that breadcrumbs are not supposed to be on the floor and so forth.

The nanomachines are working as intended, but unsurprisingly they create problems with her artworks as the machines also restores the paintings to a “default pattern” - basically making them realistic again. Of course, what may sound like a setback for Nina, by random chance she manages to turn it around to her advantage in the end.

Current generative AI models are more than capable on making weird surreal images. In fact, they struggle more with creating something realistic, but they general concept of using machine learned patterns to create something was an amusing concept from a story that is more than 30 years old.

Read in Analog January 1991
Rating: 3+