The uncensored list I made for my man. My partner and me are doing a 30 days relationship challenge. One of the challenges we went through so far was to write reasons we love each other. To make the list was really easy.
The other part of the challenge was to read it out loud for each other. I tought that would be super-easy too. Once I started to read my list something happened. My voice began to shake, my eyes were filled with tears and I felt a heavy sensation in my chest. Once I finished my list, it was his turn. Now I started to weep and could barely stand to listen to it. It was so beautiful. And it made me realise how difficult it is for me to give and receive love in such an active way.
So I decided to share my list with people outside our relationship. This simple, yet challenging practice puts more love, appreciation and acknowledgment into our relationship. I hope it will inspire another couple to try it out.
Here is the uncensored reasons I love you list for my man. You dare me to be a better version of myself. You follow me and you push me. You understand me. You respect my boundaries. And you dare to cross them when you are sure you know better. You accept my sadness and my anger and you live in harmony with them. You see and you love the next best version of me. You are truthful and vulnerable with me. You are doing everything to become a better man for yourself and for us.
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.
Why should we care? You love my body the way it is. I love you because you let me be weird without judging me. You are never bored of me, even when I am bored of myself.
I love how we form a great team. You always make me laugh. You inspire me to be a better person every day. I love you because we have created a whole new world together. I love you because you always laugh at my jokes even when they are terrible. You always value my opinion. I love you because you remember so many little details of our story.
You are always ready to defend me and stand by my side. I love you because you know me so well that I do not have to talk to express my feelings. I love you because when we are together, silence is never uncomfortable. You are proud of our couple. I love you because I know I can be myself with you.
I love you for your tenderness You always try to make up quick after a fight. I love you because you want to build your future with me. You want to know my dreams and help me achieve them. You are a hard worker. I love you because you are my rock. I love your smell that reassures me. You are always courting me, even after years of relationship. I may or may not remember the difference between a Markov chain and a GAN by the end of next month assuming, of course, that technological civilisation in Britain lasts beyond the end of next month anyway , but the general understanding of how to spot ludicrous overclaiming for the powers of AI, and why some tasks really don't suit it, will definitely remain.
I also have a newfound respect for their determination to solve many problems either by strategic laziness, or rewriting the laws of the universe. There's also a Karl Sims working on simulations. Netgalley ARC Feb 23, Martin rated it it was amazing Shelves: non-fiction , science.
Informative on the different things AI gets right and wrong, but also very funny. Great read. Dec 31, Anna rated it really liked it Shelves: technology , nonfiction. I've been teaching masters students about data mining and machine learning for a couple of years now, so the main points of 'You Look Like a Thing and I Love You' were familiar. I was really reading it for the entertaining examples, which were much more fun than my own.
I liked the repeated cockroach factory motif and laughed several times at neural net-generated recipes, names, and general nonsense. Moreover, I learned much more about Markov chains and Generative Adversarial Networks than I kne I've been teaching masters students about data mining and machine learning for a couple of years now, so the main points of 'You Look Like a Thing and I Love You' were familiar.
Shane is a really engaging and fun writer, who makes complex concepts easy to understand. Most importantly, and I also tried to do this in my teaching, she demystifies narrow AI and deflates the hype around it. As neatly summarised at the end: On the surface, AI will seem to understand more. It will be able to generate photorealistic scenes, maybe paint entire movie scenes with lush textures, maybe beat every computer game we can throw at it. But underneath that, it's all pattern matching.
It only knows what it has seen and seen enough times to make sense of. Thus the book spends many chapters explaining the mistakes that machine learning makes, which can be very different to the mistakes humans make.
It often replicates and amplifys human biases as well, a very important point. I appreciated Shane's scepticism about fully automating cars, as driving involves responding to an incredibly wide range of different situations. It's hard to see how training data could ever cover them all adequately. Personally, I think using the term Artificial Intelligence for machine learning is highly misleading. A so-called narrow AI may be able to optimise a very specific task, but it is not intelligent in any useful or meaningful sense.
I grew up reading cyberpunk, in which AIs are godlike incomprehensible beings, not irritating bits of glitchy code that keep showing you ads for life insurance. AI has become an empty buzzword, as this book makes clear.
Shane notes that many so-called AI startups never get machine learning to do the intended tasks, so humans end up doing it instead.
There's even the phenomenon of bot farms, in which humans pretend to be automated algorithms on social media. We certainly live in a cyberpunk reality, just not quite the one that 80s and 90s sci-fi led me to expect.
For one thing, I anticipated wearing sunglasses a lot more often. Anyhow, the fact that I read this book in one sitting without intending to demonstrates that it's an accessible, amusing treatment of an important and interesting topic. View 1 comment. Jun 19, Wreade rated it it was amazing Shelves: nonfiction , s. Four stars plus a bonus star for relevancy.
I mean they need to teach this in schools. So many fascinating and disturbing examples of the types of AI's that are already being used around the world. I mean this is by no means a book of doom and gloom but most of my personal take-away focused on AI's abilities to amplify bias and its almost hysterically evil penchant for taking short-cuts.
This Four stars plus a bonus star for relevancy. This book delivers soild, useful more like essential info on the real state of AI and claims about AI and does so in a straight forward easy to follow manner with some humour to make the medicine go down. Dec 15, Shane rated it liked it Shelves: nf-science. This book was fun and informative enough to be worth reading, but it was also a little thin and repetitive at times.
I do feel like I know more about how algorithms work and how they can go wrong, so there we go - mission accomplished. Nov 29, E. Swift-Hook rated it it was amazing. Secrets Snowmen Won't tell You In a time when we are all being told about the terrors of sentient AI taking over the world, AI's inventing their own languages and having to be turned off and other such terrifying prospects, discovering that an AI lists in it's top ten favourite animals 'razorbill with wings hanging about 4 inches from one's face and a heart tattoo on a frog' is the perfect antidote!
This book is full of such hilarious AI misunderstandings, but it is also an excellent survey of wha Secrets Snowmen Won't tell You In a time when we are all being told about the terrors of sentient AI taking over the world, AI's inventing their own languages and having to be turned off and other such terrifying prospects, discovering that an AI lists in it's top ten favourite animals 'razorbill with wings hanging about 4 inches from one's face and a heart tattoo on a frog' is the perfect antidote!
This book is full of such hilarious AI misunderstandings, but it is also an excellent survey of what AI can and can't do - and what it might and might not be expected to do in the future. For someone like me, who has only the vaguest of sci-fi show ideas about what AI really is, this is a great introduction to the topic.
You will close the book feeling both reassured but also very aware of the real dangers of allowing AI to make decisions. Whilst its ability to spot anomalies in cells is already helping to make our lives better and safer assisting with medical diagnoses, there are many areas in which it is less helpful.
When it can't tell the difference between a sheep and the field it is in, a puppy and the child who holds it, is it really a good idea to be thinking of allowing the military to use such tech to choose targets on a battlefield? When the AI is trained on a 'previous successful candidates' list, is it surprising that it throws out the resumes of women and those from ethnic minorities?
When it is allowed to use postcode as a guide, is it really going to be an impartial aid to policing? The book explores such ethical issues as it looks at how AI learns what it learns and what can be done to make it learn better. It offers an ultimately optimistic view of what AI has to offer and an absolutely hilarious insight into how it does what it does.
I loved this book. The title of this review is a quote from an AI in it, by the way. Since we all interact with it on a daily basis, everyone needs to understand the limits and strengths of AI.
So I thoroughly recommended this demystifying book - especially to technophobes! Feb 29, Ann rated it really liked it. This was fun and actually made me laugh out loud several times. I skimmed some sections as I'm not trying to become an AI scholar, just wanted to get a better idea of what those sneaky AIs are doing out there.
The cartoons are great -- I would recommend this as a print book not an audiobook. Nov 14, Nicky Drayden rated it it was amazing. I'm legit scared of murderbots now, so thanks? Fascinating insight into the best and worst AI has to offer. Dec 31, Jerzy rated it it was amazing Shelves: statistics , add-notes , intro-stat-fodder , sixstars , humor , data-ethics. I crack up every time I read Shane's ridiculous tumblr posts about neural-net-generated paint colors and recipes and pie names.
So I asked for this book for Christmas, expecting merely a few more silly jokes. Instead, I got an incredibly well-written and thorough but still funny! It's not what I expected, but definitely wonderful. I was looking for a resource like th YES.
Much of it was stuff I already know but phrased more effectively and humorously than I ever couldhowever, some of the particular foibles of neural nets were new to me, and I really enjoyed learning about them from Shane. My college would like to be a leader in AI education among small liberal arts colleges. This is fineshe's clear in the book that she uses "AI" as shorthand for the methods that are being hyped in today's AI revivaljust be aware that not everyone who works on AI would use the same definition.
And hilarious. Pretty good and hilarious is an apt way to describe this entire book, actually. Because, as it turns out, advancements in robotics, specifically robotic intelligence are nowhere near as…well, as advanced as you might think.
Or hope. But no, feet are being dragged and there are still so many limitations. To be fair, we can get AI to do narrow limited tasks pretty well. But independence of thinking on the Turing Test passing level is still but a fantasy, mostly. And so chapter by chapter the author subjects AI to test after test to produce recipes, pick up lines and dessert flavors.
Robots, much like us, can be quirky, random and have a penchant for shortcuts. They are just not quite ready yet for the complexity of tasks science fiction has them perform. Even if they might take over the world. Thanks Netgalley. Jan 12, Emily rated it it was amazing Shelves: humorous-writing , nonfiction , technology , I would have loved to have this on my kindle, because there was plenty of highlight-worthy material: lots of interesting facts to remember and lots of hilarious AI-generated lists.
Her delightful Hello, World certainly encouraged it. People who enjoyed that book would enjoy this one too. Janelle Shane based it on her blog aiweirdness. The title of the book is from a list of pick-up lines an AI generated after the author trained it on a large dataset of actual pick-up lines. Probably not in our lifetimes. View 2 comments.
Dec 01, C. It's not the overly optimistic tech utopia book that I was afraid it would be, but also it has a lot of optimism in it. I also really liked how thoroughly the problem of bias in tech and how that translates to AI was covered. The material itself was fascinating and often hilarious, and if I have a complaint it's that a lot of the information is repeated in what seemed like needless detail. Would definitely recommend. Nov 26, Merc Rustad rated it it was amazing.
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