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informative
fast-paced
funny
informative
medium-paced
Insightful, accessible, and compulsively readable. You Look Like A Thing and I Love You does a fantastic job at making how AI works understandable. The exploration of all AIs quirks went a long way in shedding light on the current zeitgeist and why it's equal parts exciting and worrisome.
Highly recommended for anyone interested in understanding AI in it's current forms.
Highly recommended for anyone interested in understanding AI in it's current forms.
challenging
informative
lighthearted
fast-paced
Interesting and approachable look into AI. A quick read that captures your attention and uses easy to navigate examples and visuals.
Good but got repetitive after a while.
An informative book that provides an easy to follow overview of AI and how it works. I enjoyed listening to the audiobook, while referencing the PDF of illustrations. Very cute!
I deeply enjoyed this. I've been getting Janelle Shane's emails for a while and it was an absolute treat to read her book. It was well written and wildly informative and funny all at the same time.
"Rather than identify the bots as such, they rely on human politeness to keep the conversation on topics in which the bots can hold their own."
"C-3PO versus your toaster."
"So rather than being a neural network made of eighty-six billion neurons, the human brain is a neural network made of eighty-six billion neural networks."
"The GAN is, in a way, using its generator and discriminator to perform a Turing test in which it is both judge and contestant."
"Text-generating RNNs create non sequiturs because their world essentially is a non sequitur."
"And, as it turns out, AIs love to fall over. Give them the task of moving at a high average speed, and you can bet they'll do it by falling over if you let them."
"Sometimes I think the surest sign that we're not living in a simulation is that if we were, some organism would have learned to exploit its glitches."
"As AI becomes even more capable, it still won't know what we want. It will still try to do what we want."
"But underneath that, it's all pattern matching. It only knows what it has seen and seen enough times to make sense of."
"Rather than identify the bots as such, they rely on human politeness to keep the conversation on topics in which the bots can hold their own."
"C-3PO versus your toaster."
"So rather than being a neural network made of eighty-six billion neurons, the human brain is a neural network made of eighty-six billion neural networks."
"The GAN is, in a way, using its generator and discriminator to perform a Turing test in which it is both judge and contestant."
"Text-generating RNNs create non sequiturs because their world essentially is a non sequitur."
"And, as it turns out, AIs love to fall over. Give them the task of moving at a high average speed, and you can bet they'll do it by falling over if you let them."
"Sometimes I think the surest sign that we're not living in a simulation is that if we were, some organism would have learned to exploit its glitches."
"As AI becomes even more capable, it still won't know what we want. It will still try to do what we want."
"But underneath that, it's all pattern matching. It only knows what it has seen and seen enough times to make sense of."
funny
informative
medium-paced
funny
informative
inspiring
lighthearted
funny
informative
This is an interesting overview of some of the hows and whys of where we see AIs—specific, not general matrix level— and the many challenges inherent to their learning. The results are frequently hilarious. Between the chuckle-inducing examples of AI-generated output and J. Shane’s wry narration, I was frequently laughing out out. Sometimes I laughed so hard I cried. A great pick-me-up, even when you may feel like skimming sone technical details.