I just ordered it. Congratulations on selling 8,000 copies so quickly -- that's an amazing achievement. I'm sure that by now it's even higher, and getting it out in time of Christmas, I hope it continues to do well.
I am developing a course in the spring called "Economics of AI". I'm an economics professor hence the title. The class has as its prerequisite any economics class, though I also have been selectively letting in interested students based on high demand. I'll know more when your book arrives, and I'm about to review the table of contents and the old slide deck, but I was curious who did you consider to be your top 2 or 3 audiences in mind? From the sound of it, it does seem like you may be covering the core issues and topics that I am covering, and so as a skeleton making your book the primary textbook could really be helpful. But I was just curious first to ask.
I just looked at the online book, which I didn't realize you had the entire book online. Again, congratulations you were able to get Princeton to agree to that -- that's fantastic. It looks like it's a perfect required book for my class.
Thanks so much for your interest. To clarify, only the intro chapter is online. We did ask the publisher if we could put the entire book online and they said no way :)
Looking forward to getting my copy, this is exactly what I need now as my current job is increasingly looking at what AI can, and can't do for us. Timing is perfect 👍
As a progressed through the chapters, I started to understand that the book was the product of academics with very little real world experience. Then I actually read something about the authors and realized it was much worse. It is not just academics. It is academics involved in policy. As the saying goes, if you can't actually do something then teach about it. If you can't even teach about it, then work in policy. This book is lacking the insights of people that actually work within the AI community. The authors flunky barely scratched the surface at Facebook before running back to being a student in academia. If you really want to know the quality of the book, look who provided positive feedback on the book on the book jacket. Nor surprising it is a bunch of no names in the AI community with again limited actual real world experience. One of the silly premises of the authors is that bad AI is not a risk because the good AI will prevent it. Wow, what an analysis. If it were only that simple.
Sir, the website originality ai claims to have more than 99% accuracy in predicting Ai generated content. Is it possible to have such a content in the first place ?
Reading my copy. What struck me was the chapter on predictive AI and humans' need for perceived orderliness in their lives. If you think about it, you would realise that all knowledge is created solely to forecast the future. Observation and communication with others helps to build an individual's knowledge base, which he or she uses to make predictions about his or her future. Hence prediction is the cornerstone of human knowledge.
On the subject of self-driving: who will be responsible for the necessary changes to transportation infrastructure and urban planning? The government? Is anyone making any steps at all in that direction?
When are we going to discover the circuitry of awareness? When are we going to program a computer to speak according to English definition in which every word of every definition is in the dictionary and according to grammar, program a computer to speak English instead of returning prerecorded statements?
I just ordered it. Congratulations on selling 8,000 copies so quickly -- that's an amazing achievement. I'm sure that by now it's even higher, and getting it out in time of Christmas, I hope it continues to do well.
I am developing a course in the spring called "Economics of AI". I'm an economics professor hence the title. The class has as its prerequisite any economics class, though I also have been selectively letting in interested students based on high demand. I'll know more when your book arrives, and I'm about to review the table of contents and the old slide deck, but I was curious who did you consider to be your top 2 or 3 audiences in mind? From the sound of it, it does seem like you may be covering the core issues and topics that I am covering, and so as a skeleton making your book the primary textbook could really be helpful. But I was just curious first to ask.
I just looked at the online book, which I didn't realize you had the entire book online. Again, congratulations you were able to get Princeton to agree to that -- that's fantastic. It looks like it's a perfect required book for my class.
Thanks so much for your interest. To clarify, only the intro chapter is online. We did ask the publisher if we could put the entire book online and they said no way :)
Well, mine gets here tomorrow and I’m super excited to look at it. Congratulations again on the book.
Is there any chance of a poster of the book cover? Honestly, I really want one for my office door, because the AI hype is just stifling where I am.
Looking forward to getting my copy, this is exactly what I need now as my current job is increasingly looking at what AI can, and can't do for us. Timing is perfect 👍
Just purchased my copy! I’m looking forward to learning more about your perspectives.
As a progressed through the chapters, I started to understand that the book was the product of academics with very little real world experience. Then I actually read something about the authors and realized it was much worse. It is not just academics. It is academics involved in policy. As the saying goes, if you can't actually do something then teach about it. If you can't even teach about it, then work in policy. This book is lacking the insights of people that actually work within the AI community. The authors flunky barely scratched the surface at Facebook before running back to being a student in academia. If you really want to know the quality of the book, look who provided positive feedback on the book on the book jacket. Nor surprising it is a bunch of no names in the AI community with again limited actual real world experience. One of the silly premises of the authors is that bad AI is not a risk because the good AI will prevent it. Wow, what an analysis. If it were only that simple.
Sir, the website originality ai claims to have more than 99% accuracy in predicting Ai generated content. Is it possible to have such a content in the first place ?
I had recently written a detailed review about your book on linkedin. https://www.linkedin.com/pulse/unmasking-hype-review-i-snake-oil-arvind-narayanan-chinnadurai-apwvc/?trackingId=0dRUp4UmT9aCQNcKl6oQYw%3D%3D
I thoroughly enjoyed and learnt a lot from your book. Thanks
Reading my copy. What struck me was the chapter on predictive AI and humans' need for perceived orderliness in their lives. If you think about it, you would realise that all knowledge is created solely to forecast the future. Observation and communication with others helps to build an individual's knowledge base, which he or she uses to make predictions about his or her future. Hence prediction is the cornerstone of human knowledge.
On the subject of self-driving: who will be responsible for the necessary changes to transportation infrastructure and urban planning? The government? Is anyone making any steps at all in that direction?
Got the book last week. Can’t wait to dig in!
When are we going to discover the circuitry of awareness? When are we going to program a computer to speak according to English definition in which every word of every definition is in the dictionary and according to grammar, program a computer to speak English instead of returning prerecorded statements?