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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place Hardcover – November 5, 2019

by Janelle Shane (Author)

4.6 915 ratings

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As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "affectionately down-to-earth to the year's most hype-prone field of tech" (theverge.com).

"You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives.

We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars?

Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?

In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity.

You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

"I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." —Adam Grant, New York Times bestselling author of Originals

Length

272
Pages
Language

EN
English
Publisher

Voracious
Publication date

2019
November 5
Dimensions

6.3 x 1.3 x 8.3
inches
ISBN-10

0316525243
ISBN-13

978-0316525244
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Editorial Reviews

Review

One of the most anticipated books of the fall! - Adam Grant, Ars Technica, Philadelphia Inquirer, Next Big Idea Club, BookPage

"If you're terrified that artificial intelligence is going to take over the world, you clearly haven't asked a computer to write pick-up lines, name pets, or do anything else social or creative. Janelle Shane has, and she's the perfect tour guide to explain what machine learning can and can't do--and why it's already affecting your life. I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way."―Adam Grant, New York Times bestselling author of Originals

"While everyone else is making questionable predictions about the future of AI, Janelle Shane cuts through the fog by telling you how AI actually works. And even better: she makes it fun!"―Zach Weinersmith, creator of Saturday Morning Breakfast Cereal and New York Times bestselling author of Soonish

"An incredibly accessible, informative, and hilarious look at how the AIs deciding things around us operate."―Ryan North, New York Times bestselling author of How to Invent Everything

"What better way to explain AI than through examples of what it can and cannot do? Shane is an expert at this and fills the book with hilarious AI experiments as well as a bunch of complementary, charming cartoons. Her writing style is also so approachable that anybody, not just the engineer-minded or the tech-savvy, can understand the often abstract concepts she details."―Ars Technica

"This accessible guide to AI and machine learning cuts through the techno-hype... You Look Like a Thing and I Love You should be essential reading."―Booklist

"Ideal for those intrigued and/or mildly unnerved by the increasing role A.I. plays in modern life (and our future), this book is accessible enough to educate you while easing anxieties about the coming robot apocalypse. A surprisingly hilarious read, it presents a view of A.I. that is more "Office Space" than "The Terminator."―The Wall Street Journal

"AI, AI, AI, that's all you hear... but what is it, really? Why should we care? And why is it driving so much innovation, remaking our world seemingly day by day? Shane is a computer scientist and a great guide."―Philadelphia Inquirer

"An accessible primer... illustrated with charming cartoons, oddball case studies (self-driving cars in Australia were confused by kangaroos), and wry observations about the often-hilarious failures of artificial intelligence to comprehend human contexts."―Publishers Weekly

"If you're worried about what AI is doing to the world, this book may not exactly reassure you, but it will definitely equip you with greater understanding. Recommended for anyone who wants to better comprehend the strengths and limitations of artificial intelligence, but also for anyone who likes watching computers fail hilariously."―Gretchen McCulloch, New York Times bestselling author of Because Internet

"Janelle Shane has hit the trifecta--the most hilarious, most educational, and overall best explanation of artificial intelligence ever written (and drawn)."―Eric Topol, author of Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

"A delightful way to learn about the technology that's poised to change our lives."―Annalee Newitz, author of Future of Another Timeline

"If you're interested in knowing more about machine learning and artificial intelligence, or in trying to understand our robot overlords, or if you just love weird and interesting science, you can't miss this book."―David Ha, lead researcher, Google Brain

"A fun, commonsense guide to the technology that's shaping our future."―William Poundstone, author of The Doomsday Calculation

"Irresistibly funny and compelling."―Roy Peter Clark, author of Writing Tools

...a deft, informative and often screamingly funny primer on the ways that machine learning can (and often does) go wrong.―Physics World

In a field often bogged down by technical jargon, [Shane]’s book is a funny and accessible primer on AI, and her talk at TED 2019 addresses that the dangers of AI are much stranger than science fiction might have you believe.―Adweek

"Shane's primer treats AI like a large, surprisingly clever, but frequently discombobulated pet. It's an affectionately down-to-earth introduction to the year's most hype-prone field of tech, complete with charming illustrations. ―theverge.com

About the Author

Janelle Shane has a PhD in electrical engineering and a master's in physics. At aiweirdness.com, she writes about artificial intelligence and the hilarious and sometimes unsettling ways that algorithms get human things wrong. She has been featured on the main TED stage, and in the New York Times, The Atlantic, WIRED, PopularScience, All Things Considered, Science Friday, Marketplace, and more. She was named one of Fast Company’s 100 Most Creative People in Business, and an Adweek Young Influential. She is almost certainly not a robot.

Product details

Publisher ‏ : ‎ Voracious (November 5, 2019)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 272 pages
ISBN-10 ‏ : ‎ 0316525243
ISBN-13 ‏ : ‎ 978-0316525244
Item Weight ‏ : ‎ 14.4 ounces
Dimensions ‏ : ‎ 6.3 x 1.25 x 8.25 inches

Best Sellers Rank: #480,932 in Books (See Top 100 in Books)
- #153 in Natural Language Processing (Books)
- #316 in Social Aspects of Technology
- #660 in Artificial Intelligence & Semantics

Customer Reviews:
4.6 915 ratings

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Janelle Shane

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Janelle Shane's AI humor blog, AIweirdness.com, looks at the strange side of artificial intelligence. She has been featured in the New York Times, The Atlantic, WIRED, Popular Science, All Things Considered, and Slate. Her upcoming book, "You Look Like a Thing and I Love You: How AI Works and Why It’s Making the World a Weirder Place" uses cartoons and humorous pop-culture experiments to look inside the minds of the algorithms that run our world, making artificial intelligence and machine learning both accessible and entertaining. She has only made a neural network-written recipe once and discovered that horseradish brownies are about as terrible as you might imagine.

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4.6 out of 5

915 global ratings

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An adorable book

Reviewed in the United States on October 13, 2023

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This is an adorable book. I bought it because I needed to know more about AI, and this exemplar seemed perfect to me. And it was.

I had already read several books on AI, dozens in fact, and let's say this is one of the best. First: the tone (the author is very nice); secondly, the drawings (always adding clarity), and thirdly, the scope (it covers all the main topics, including ethical and technological issues).

The problem with books on AI is that some authors begin to talk on AI in a very effective manner, but then, before you realize, they start pontificating on all the evils that it brings with it, and the perverse people behind the scene trying to kidnap your soul (or your money). Believe me, I tremble every time I read on AI because I know what possibly is going to happen after the first fifty pages. This is not the case. Janelle Shane goes to the point, shows you the magic, and the limits of this pervasive science, without painting the horror movie some others make you watch.

Highly recommended for all those interested in passing a couple of days of good reading on AI topics, learning on them, and enjoying a very entertaining author.

Five brilliant stars.

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M Arneson

Funny and scary, but with a bit of reassurance

Reviewed in the United States on December 1, 2019

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Reassuring and disturbing at the same time, this book exposes the flaws and risks of AI, while pointing out the weaknesses that make it incapable of taking over the world.

The examples of AI foolishness entertain and startle. AI's missteps and errors and the real harm they cause provide a warning that is easier to absorb when leavened with the humor.

So what happens if I end this review with a bit of AI-generated predictive texting? Here goes:

This is a story out of India and I am not sure if I can make it to the wrong email address. Please let me know if you have any questions. I look forward to hearing from you.

6 people found this helpful

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Kelson Vibber

A fun, accessible introduction to how AI works...and how it sometimes doesn't!

Reviewed in the United States on April 1, 2023

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Still relevant despite recent advances in AI-generated imagery and text, because the new systems still work on the same principles as the ones that were around three years ago. They just have a lot more data and processing power. This also means they have the same limitations and blind spots. What was it trained on? *How* was it trained? (This is the most obvious way human bias can leak into an AI model.) How well is the goal specified? And of course, did the AI actually latch onto relevant details, or did it notice that all the training pictures labeled sheep had green fields and blue skies, and completely ignore the actual sheep?

These are things to keep in mind as we enter the landscape of generative AI tools like ChatGPT: You can train an LLM to write a book review, and it'll give you a great piece of text that *reads* like a book review -- but it's not going to have actually evaluated the book. For that, you'd have to train *another* AI to categorize books as good, bad, interesting, dull, and so on. But even that can only be as good as its training data. (I don't remember whether the classic phrase "garbage in, garbage out" is used anywhere in the book, but it still applies today!)

3 people found this helpful

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Mary Anne Thygesen

book I keep telling people about

Reviewed in the United States on June 15, 2023

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The best explanation of AI I have read. AI is a tool use AI as a tool.

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kitty lai

Fun way to learn about machine learning

Reviewed in the United States on May 26, 2023

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A delightful read! It was informative and funny.

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Chris

Great primer on artificial intelligence and it's limitations

Reviewed in the United States on November 11, 2019

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The book is very readable and there were some laugh out loud examples of artificial intelligence programs going off the rails. It does a great job of explaining the limits of AI and really explaining where it can be useful.

I went with four stars as it does get repetitive at times and I would have preferred a little more depth into the different AI models and how they work.

Overall, I highly recommend this to anyone interested in learning more about artificial intelligence.

2 people found this helpful

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Jed Rothwell

Witty introduction. Not detailed, but technically accurate

Reviewed in the United States on November 20, 2019

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I loved this book! I am a programmer and I have read several books about AI. This is an introduction for the general public. It does not have many technical details, but it is technically accurate. The writing is clear and understandable. It is also hilarious, with cute illustrations.

I think it has more technical details and more interesting, on-point examples than some reviewers appreciate. They see the jokes and illustrations, and they don't notice how much technical information comes along with them. For example, she describes some fascinating parallels with biological evolution and AI systems discovering method of locomotion on their own, such as making yourself into a tower and then toppling over in the direction you want to go. The author points out this is how some species of grass propagate their seeds, one stem-length, each growing season.

This is a short technical book. I like that! It reminds me of the classic "How to Lie With Statistics," by Darrell Huff, 1954, 142 pages. Everyone who wants to understand statistics should read this. It is also hilarious, it also has cute illustrations, and it is also one of the best introductions to the subject ever written.

35 people found this helpful

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KELL

Fun book

Reviewed in the United States on December 1, 2023

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Great way to start to understand how AI works

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Philipp Schober

Brilliant overview. Also, weirdly charming

Reviewed in Germany on December 21, 2022

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This book is an overview of currently existent AI systems, their limitations, the often weird and creative ways they ‚achieve‘ their tasks. Also, lacking a better word, it is charming. this begins with the title- a neural net’s effort at flirting, based on pick up lines from online dating, over running gags over AI- subverting cockroaches, based on a real example of a creative failure mode of an AI administering a chinese cockroach farm. the author presents the reader with a step by step overview of the workings of the different systems, without getting lost in the mechanics or underlying math. I cannot recommend this book highly enough to interested laypeople, though IT professionals likely won‘t learn anything new. They will giggle while failing to do so though.

D. Morris

A good AI overview with some laugh-out-loud funny bits

Reviewed in the United Kingdom on October 15, 2023

Verified Purchase

A quick overview of concepts in machine learning. It's pretty good, but really it could all have fitted into a book half the size. The most interesting thing is how primitive large language models were in 2019 compared to 2023.

peter

Excellent book for both research and casual reading

Reviewed in the United Kingdom on August 27, 2023

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This book spares little details in explaining the intricacies of what exactly is an AI whilst simplifying it just enough for anyone to understand

Amazon Kunde

pretty interesting and concise overview of AI

Reviewed in Germany on February 21, 2022

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Good book for someone to get a broad overview about AI and ML, its applications and pitfalls. It’s not an easy task to do so without discussing the underlying math, but the author managed to do so, using simple analogies that definitely put the point across to the reader. And towards the end, I am just glad to know that the author is sane enough to not just go hyper-crazy about AI and how it will pose a threat to humans and all that stuff!

Peer Sylvester

3 Sterne auf Kindle 4 als normales Buch

Reviewed in Germany on August 30, 2021

Verified Purchase

Vorweg: Die Bilder und Diagramme sind in der Kindle-Version leider extrem klein gedruckt, so dass die Schrift oft jenseits der Lesbarkeit ist. Bilder lassen sich aber nicht vergrößern. Daher gehen eine Menge Daten flöten. Hinzu kommen ein paar Stellen, wo ein Algorythmus durch Hervorhebung von Buchstaben dargestellt wird - auch diese Hervorhebung fehlt in der Kindleversion, so dass die entsprechenden Erklärungen unverständlich sind. Daher definitiv das "echte" Buch kaufen, sonst ärgert man sich.

Das Buch selbst ist interessant und verdeutlicht was AIs können und vor allem was nicht, wie sie arbeiten und wo sie z.Z. einsetzbar sind und wo eben auf absehbare Zeit nicht. Die Autorin unterhält einen Blog zu dem Thema und viel Material stammt von dort. Das merkt man vor allem daran, dass es doch einige Dopplungen gibt und nicht alle Trennungen wirklich sauber sind. Die Beispiele im Buch sind witzig und z.T. auch ziemlich spektakulär, ab und an sind es mir aber etwas zu viele Anekdoten. Der Titel bezieht sich auf eine solche Anekdote und ausgerechnet auf eine, die nur einmal am Rande erwähnt wird (ein kleines Experiment der Autorin, keine AI, die irgendwie verwendet werden würde).
Dennoch: Das Thema ist hochinteressant und der Autorin gelingt es einen guten Überblick über das Thema zu verschaffen, insbesondere wie die AIs überhaupt arbeiten und lernen. Daraus leitet sich schon viel ab. Auch wenn ich nicht rundum begeistert bin, hab ich doch viel Interessantes erfahren!

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