
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
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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 "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North).
"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 best-selling author of Originals)
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
- Listening Length5 hours and 33 minutes
- Audible release dateNovember 5, 2019
- LanguageEnglish
- ASINB07ZRWH5YN
- VersionUnabridged
- Program TypeAudiobook
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Product details
Listening Length | 5 hours and 33 minutes |
---|---|
Author | Janelle Shane |
Narrator | Xe Sands |
Whispersync for Voice | Ready |
Audible.com Release Date | November 05, 2019 |
Publisher | Voracious |
Program Type | Audiobook |
Version | Unabridged |
Language | English |
ASIN | B07ZRWH5YN |
Best Sellers Rank | #33,578 in Audible Books & Originals (See Top 100 in Audible Books & Originals) #39 in Programming & Software Development #51 in Technology & Society #319 in Social Aspects of Technology |
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Reviewed in the United States on December 10, 2019
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As far as the book it’s a whimsical but realistic view at the limitations of AI. Her blog is great to, found out about her through embeddedFM
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.
I think this book would be a great gift to a friend who has shown interest in neural networks, but is not a data scientist themselves. It's great fun and introduces normally dense topics in a way most people can understand.
It’s funny, someone else said they didn’t like this book because it wasn’t enough like Shane’s tear-inducingly-hilarious blog. But here’s the thing: I can read the blog for free! I was actually nervous that I was going to be getting a repeat of the blog in book form, but it was super different. If you’re a computer science scholar, maybe skip this one, but I don’t think that was the audience Shane was trying to reach.
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.
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