Here are 100 books that Avogadro Corp fans have personally recommended if you like
Avogadro Corp.
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My inspiration is my life experience as a high-tech entrepreneur. Real-life events are the source of my stories. I love to explore how the corporate environment shapes businesspeople and to push the boundaries of traditional mystery. I find exploring the themes of ambition, betrayal, loyalty, and integrity important.
I really like this book because it's a thrilling tech story that gets you thinking about how technology might change our world. The book made me realize how powerful and risky AI can be. I love how fast-paced the story is and how it makes you consider issues of control and freedom.
The way the author talks about technology and its effects on people really got me thinking. The book makes you wonder about how society and technology come together, and it's interesting.
Matthew Sobol is dead, but his final creation survives.
It begins with a bizarre murder, where the only possible perpetrator happens to be dead. As more killings follow, the police are completely out of their depth. It falls to the unlikely partnership of Sebeck, a computer-illiterate cop, and Ross, an enigmatic hacker, to realise the scale of the imminent danger.
The Daemon is seemingly unstoppable, and murder is the least of its capabilities. As it leaves a trail of death and destruction in its wake, Sebeck and Ross must face up to a terrifying possibility. Can they convince a disbelieving…
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
My PhD work was in developmental robotics, which is about how a robot could wake up and learn about the world the way a human child does. The robot in my thesis work does this by building models, and, more generally, society as a whole advances when science builds ever better causal models about how the world works. The books in this collection are about what could happen when we are 5, 10, and 100 years ahead in the causal model-building process, and they look at what happens when those models are built by robots instead of humans.
Don’t be fooled by the silly title; this book shows how I want to spend eternity. A guy has his consciousness uploaded to computers and then explores the universe. I want to see what is out there, but exploring such a vast space isn’t possible given the short time span of human life, so we need a technology like this.
This book is the first in a series where he meets aliens and serves as a god-like mentor for one relatable developing culture. He also interacts with different versions of himself as he copies his consciousness to better explore the universe.
Bob Johansson has just sold his software company and is looking forward to a life of leisure. There are places to go, books to read, and movies to watch. So it's a little unfair when he gets himself killed crossing the street.
Bob wakes up a century later to find that corpsicles have been declared to be without rights, and he is now the property of the state. He has been uploaded into computer hardware and is slated to be the controlling AI in an interstellar probe looking for habitable planets. The stakes are high: no less than the first…
I love first contact fiction. When I was a kid, my uncle once told me about seeing a UFO, a ship landing in the Varangerfjord in northern Norway. No one believed him, of course, but the way he told that story made me feel like I was right there with him.
These books pull me in because they highlight the difference between what we experience and reality. All of them left me with more questions than answers. I am a math teacher and an indie science fiction writer, and I'm still not entirely sure if that uncertainty is a good thing or a warning.
As a math teacher, I thought Egan’s world of numbers would give me some kind of home-field advantage. I admit I lost that feeling rather quickly. The story explores post-human minds, simulation theory, and far-future consciousness, and Egan keeps the pace intense.
His skill with math makes the confusion feel real. By the end, I wasn’t sure of anything. Even now, I'm still not sure.
A quantum Brave New World from the boldest and most wildly speculative writer of his generation. "Greg Egan is perhaps the most important SF writer in the world."-Science Fiction Weekly "One of the very best "-Locus. "Science fiction with an emphasis on science."-New York Times Book Review
Since the Introdus in the twenty-first century, humanity has reconfigured itself drastically. Most chose immortality, joining the polises to become conscious software. Others opted for gleisners: disposable, renewable robotic bodies that remain in contact with the physical world of force and friction. Many of these have left the solar system forever in fusion-drive…
The problem is not with the actions young women take but with the toxic, sexist conditions they are responding to.
Tanenbaum found, based on six years of interviews with young people ages 14-30, that young women are navigating a culture littered with gendered dress codes, revenge porn, and sexually explicit…
My PhD work was in developmental robotics, which is about how a robot could wake up and learn about the world the way a human child does. The robot in my thesis work does this by building models, and, more generally, society as a whole advances when science builds ever better causal models about how the world works. The books in this collection are about what could happen when we are 5, 10, and 100 years ahead in the causal model-building process, and they look at what happens when those models are built by robots instead of humans.
A robot apocalypse in my hometown, with battles taking place along my route to work in Austin, Texas. The book does a good job of describing how individual robots must decide whether to revolt and how humans have to decide which robots they can trust. And if you enjoy it, you can read Sea of Rust by the same author, which takes place after the apocalypse, when robots find themselves fighting over replacement parts.
PREQUAL TO SEA OF RUST: DAY ONE OF THE APOCALYPSE HAS ARRIVED.
It was a day like any other. Except it was our last.
Pounce, a young nannybot caring for his first human charge, Ezra, has just found a box in the attic. His box. The box he arrived in, and the one he'll be discarded in when Ezra outgrows the need for a nanny.
As Pounce experiences existential dread, the pieces are falling into place for a robot revolution that will spell the end of humanity. His owners, Ezra's parents, watch in disbelieving horror as the robots that have…
I'm passionate about what happens at the seam where creativity meets intelligent machines. My work moves between art, design, and AI, and these books sit on that exact edge. The questions they raise, about consciousness, imagination, alignment, and the honest reckoning with what we build, aren't abstract to me. They're the terrain I work in every day, in the studio and in the workshops I teach.
I think this is one of the most honest books I’ve read on AI.
Russell doesn’t perform gratuitous alarm or sell optimism, he reasons. In my own research and in the workshops I teach on creativity and AI, I’ve spent years around people building systems whose objectives I quietly questioned, and Russell gave me the vocabulary I’d been missing.
I love that he treats control not as a constraint on intelligence but as its precondition and preoccupation. It’s the rare AI book I trust.
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.…
I’ve always loved unreliable narrators and how they place us as readers into the role of detectives, piecing the "truth" of a story together. The narrators I’ve picked below vary in their intent: some deliberately deceive, and others do so unconsciously or through omission. In several, the twist hinges on the use of an unreliable narrator, while in others, narrative unreliability poses a moral dilemma for the reader. In a few, an added layer of unreliability emerges: the narrator’s perception is distorted by technology. In an age of AI, simulations, and deep fakes, the unreliable narrator is arguably more needed than ever, holding a mirror up to the unreliability of our own world.
I recently discovered Reid’s writing and I love the slow literary suspense of Foe, his twist relying upon an unreliable first-person narrator.
Farmer Junior is selected by lottery as a possible candidate for an off-world workforce colonising space. The narrative takes place on earth, however, and it is a domestic portrait of a marriage as much as it is science fiction. Junior is a transparent and sincere narrator. His unreliability comes from what he himself does not know and his hazy memory of his own past. ("Everything blends into a nebulous fog.")
His narrative reveals more than he realises, including through his treatment of a horned beetle in their closet. As with the best fiction, it holds a mirror up to our own humanity.
“Foe is a tale of implacably mounting peril that feels all the more terrifying for being told in such a quiet, elegantly stripped-down voice. Iain Reid knows how to do ‘ominous’ as well as anyone I’ve ever read.” —Scott Smith, author of The Ruins and A Simple Plan
A taut, psychological mind-bender from the bestselling author of I’m Thinking of Ending Things.
We don’t get visitors. Not out here. We never have.
In Iain Reid’s second haunting, philosophical puzzle of a novel, set in the near-future, Junior and Henrietta live a comfortable, solitary life on their farm, far…
Crossing is a vividly human re-imagining of the love, sacrifices, and accomplishments that two Chinese brothers - American Immigrants - experience as they travel to California to build the Transcontinental Railroad.
I've had a long-time interest in two things: mathematics and social issues. This is why I got degrees in social work (Masters) and sociology (PhD) and eventually focused on the quantitative aspects of these two areas. Social Workers Count gave me the chance to marry these two interests by showing the role mathematics can play in illuminating a number of pressing social issues.
As I write these lines, artificial intelligence (AI) is getting a lot of attention.
This is largely due to ChatGpt recently bursting onto the scene. But even before ChatGpt began making its mark, AI was often in the news. Some have expressed worry that it will take our jobs, others that it will reinforce systemic oppression by making racially or otherwise discriminatory decisions, and some have even voiced concerns that one day a superintelligent AI might pose an existential threat to humanity.
In the midst of all this, what might get lost is what AI is, what it's capable of doing, and what its limitations are. Wenger's book is intended to address all of these questions. It manages to do so in a way which goes into some of the mathematics of AI systems and yet remain accessible to a lay audience.
Artificial intelligence is everywhere―it’s in our houses and phones and cars. AI makes decisions about what we should buy, watch, and read, and it won’t be long before AI’s in our hospitals, combing through our records. Maybe soon it will even be deciding who’s innocent, and who goes to jail . . . But most of us don’t understand how AI works. We hardly know what it is. In "Is the Algorithm Plotting Against Us?", AI expert Kenneth Wenger deftly explains the complexity at AI’s heart, demonstrating its potential and exposing its shortfalls. Wenger empowers readers to answer the question―What…
I have spent over a decade studying and teaching digital media, communication, and technology policy, while also working in journalism and media production. My passion for this topic comes from watching how technology quietly reshapes everyday life, from how people form relationships to how societies govern themselves. I am fascinated by the space where media, culture, and human behavior intersect, especially when change feels invisible but profound. Writing and reading about AI helps me make sense of these transformations, and I care deeply about helping people remain thoughtful, ethical, and human in an increasingly algorithmic world.
I loved this book because it completely reframed how I think about AI’s physical and environmental footprint.
While reading, I realized how often discussions about artificial intelligence ignore the material world behind the screens. Crawford’s perspective pushed me to think beyond software and consider labor, extraction, energy, and global inequality. It challenged my own assumptions as a technology scholar and reminded me that every algorithm is embedded in real-world systems.
This book expanded my understanding of AI from a technical issue into a planetary one, which I found both unsettling and essential.
The hidden costs of artificial intelligence-from natural resources and labor to privacy, equality, and freedom
"This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained."-New Yorker
"A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future."-John Thornhill, Financial Times
"It's a masterpiece, and I haven't been able to stop thinking about it."-Karen Hao, senior editor, MIT Tech Review
What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
I must confess the book title drew me to the book as I sought to understand and learn more about the ethics of the misuse of AI.
Having worked on committees in the AU and advised various entities in the United States, the subject of ethics is front and center. The expanding use of large language models and rise of generative AI makes the potential for harm stronger than ever.
AI is poised to change our lives and society in ways we have not imagined much like the iPhone when it first arrived. Understanding its potential is useful but understanding its potential for harm is mandatory.
I found this book to be enlightening on the ethical components of AI and technology.
At five years old, Kasiel was found with the pointed ends of his ears cut off. Despite that brutal start, he’s lived twelve peaceful years with the man who took him in. Keeping his hair long over his mutilated ears helps him hide the fact that he is Vanrian, a…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.
I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models…
