Book Reviews
- My second book "Artificial Intuition" was inspired by Daniel Kahneman's "Thinking Fast and Slow." My analytic upbringing would have never appreciated the importance of intuition to cognition without reading this book. https://t.co/bOBUOzB4ceLink to Tweet
- Around a year ago, we discovered reversible induction machines. We know these now as diffusion models. The first kinds of these were discovered 7 years ago, I mention them in my book. https://t.co/MLjweGUe8KLink to Tweet
- The reason why System 2 is "slow" is because it is emulated using System 1. I've said this for years, yet people don't seem to grok it! https://t.co/MLjweHbhaKLink to Tweet
- I've decided to refactor my books to create a trilogy. I wrote 'Artificial Intuition' in 2017. This book will need to be updated to align with recent developments. https://t.co/MLjweGTGjcLink to Tweet
- The cart and the horse is an apt analogy. The cart is like representation and the horse is the intuition that drives the interpretation of symbols. Artificial intuition drives complex thought, but they employ symbols as a means to scale attractor states. https://t.co/aonVdK3RtcLink to Tweet
- @JohnDobbin Nice wording of a queston. Yes we do. https://t.co/bOBUOzAwmGLink to Tweet
- @MakingmyselfMkm We are Intuition Machines. https://t.co/wwMVje4v0rLink to Tweet
- @leonardkish @TexPine Indeed. Please read my book "Artificial Intuition". https://t.co/9rO3RZXyqrLink to Tweet
- IMHO, if you don't understand intuition and its relationship to deep learning, then you aren't on the right path. https://t.co/MLjweGTGjcLink to Tweet
- My journey into my explorations into general intelligence began with my book 'Artificial Intuition'. https://t.co/kg4BdMlOWPLink to Tweet
- https://t.co/9rO3RZXyqr https://t.co/9DdXTgmjTtLink to Tweet
- If you prefer a physical book, the you can find this at Amazon: https://t.co/bOBUOzAwmG .Link to Tweet
- Glad to be one of the few people who kept saying that #deeplearning was an Intuition machine (i.e. System 1) several years ago. https://t.co/9rO3RZXyqr .Link to Tweet
- @yudapearl A key building block towards empathy is intuition. Some (like Yoshua Bengio) would call this 'system 1' in the dual process theory framework: https://t.co/SGDqiYfRJuLink to Tweet
- I'm glad I wrote a book about it two years ago: https://t.co/9rO3RZXyqr .Link to Tweet
- @GaryMarcus @FelixHill84 @nutanc @geoffreyhinton But a word of caution. There are many problems in the domain of modern human problems that can't be solved using an S2 system. But solving AGI isn't one of those problems. AGI is completely an S1 problem and we have biological evidence that this is true. https://t.co/MLjweGTGjcLink to Tweet
- Perhaps 95% of these books I haven't read when I wrote my first books https://t.co/HHvLHtJb36 and https://t.co/9rO3RZXyqrLink to Tweet
About Book
I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook." The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you'll walk away with the ability to hold a very informative and impressive conversation about this unique subject. It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations. Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner. That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.