How to Create a Mind
Explores the limitless potential of reverse-engineering the human brain, outlining the controversial implications of increasing intelligence in order to address global problems while comparing emotional and moral intelligence and considering the origins of consciousness.
Stats for nerds
10recommend
45mentions
36people
2012–2023years
29% recommend64% neutral7% critical
Mentions per year
What Hacker News says
- Have you read Ray Kurzweil's how to create a mind? His definition of our mind is something similar along the lines. Pattern matching/ predictions are all that we do, according to him. I didn't think we'd come so far when I read it a few years ago. Agi seems like a real possibility now and I think I should consider developing some skills besides being able to write php.
- If you want a deeper dive on this concept read Ray Kurzweil's How to create a mind. Ray pioneered a lot of the concepts speech recognition and his book is a fun read and greatly expands on these concepts as well as Ray's ideas on how to build AGI.
- I don't know if I really even believe in the idea of "must read" books, but here are at least a few I highly recommend. In no particular order.
FICTION
The Mysterious Island - Verne
The Time Machine - Wells
Nineteen Eighty-Four - Orwell
Fahrenheit 451 - Bradbury
Brave New World - Huxley
Snow Crash - Stephenson
The Shockwave Rider - Brunner
The Fountainhead - Rand
Cryptonomicon - Stephenson
The Foundation trilogy - Asimov
Something Wicked This Way Comes - Bradbury
Strangers - Koontz
After Dark - Murakami
It - King
The Lord of the Rings - Tolkien
The Hobbit - Tolkien
Perdido Street Station - Miéville
Permutation City - Egan
Glasshouse - Stross
NON-FICTION
Report from Engine Co 82 - Smith
Godel, Escher, Bach - Hofstadter
How the Mind Works - Pinker
The Four Steps to the Epiphany - Blank
Charles Proteus Steinmetz: The Electrical Wizard of Schenectady - Bly
Hackers: Heroes of the Computer Revolution - Levy
Artificial Life - Levy
Cyberpunk: Outlaws and Hackers on the Computer Frontier - Haffner & Markoff (Note: this book is not without controvery. There is a lot of debate about the veracity of much of the material on Mitnick. However, it is a wildly entertaining read, and an introduction to a number of interesting characters. But I'd suggest following up by reading other related titles, especially regarding Kevin Mitnick)
Ghost in the Wires - Mitnick (Mitnick's autogiography, basically)
Takedown - Shimomura & Markoff
The Fugitive Game - Littman (of the books written about Mitnick, but not by Mitnick, this one has a reputation for being a little more "pro Kevin" whereas a couple of the others are sort of pointedly "anti Kevin" in their bias. Maybe it all balances out in the end if you read them all).
The Cyberthief & the Samurai - Goodell
The Cuckoo's Egg - Stoll
How To Create A Mind - Kurzweil
On Intelligence - Hawkins
Engineering General Intelligence (volumes 1 & 2) - Goertzel
The Hidden Pattern - Goertzel
Everything and More: A Compact History of Infinity - Wallace
- We should figure out intelligence before speculating on super-intelligence. I think Kurzweil and Hofstadter have a compelling model in 'How to Create a Mind' and 'Surfaces and Essences: Analogy as the Fuel and Fire of Thinking', but it's not exactly rigorous and we still haven't created anything that could pass the Turing test which wouldn't even require high intelligence - just 2nd grade level or something.
- I will probably be down voted for this.. But I enjoyed Kurzweil's "How to create a mind" and "on intelligence" by Jeff Hawkins . Even though these books aren't super scientific i really like how these guys think about consciousness and intelligence.
- Well, first, I would try to understand what "AI" you are talking about and why you have so much confidence it will be big.
It's a pretty broad category, and a lot of it is (still) very far from commercialization.
It's almost like asking about "the Internet" in 1992.
Here are some categories that may help to dive into...
-Computer Vision
-Natural Language Processing
AClustering vs classification in machine learning
-Neural nets (convolutional, recursive, hyerparameters and optimizTion techniques)
Read "how to create a Mind" by kurtzweil
Related (but distinct topics)
-Understand rise (and fall) of semantic web
-Open/Linked data
-Relational vs NoSql databases
-distributed/parallel processing (MapReduce ->hadoop-> spark)
*edit - typo
