The AI Delusion - Gary Smith Audiobook
Language: EnglishKeywords:
Artificial Intelligence
Science
Technology
Shared by:ihophats
Written by
Read by Eric Michael Summerer
Format: MP3
Bitrate: 64 Kbps
Length: 8 hrs and 40 mins
Release date: 11-27-18
We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations.
We are told that computers are smarter than humans and that data mining can identify previously unknown truths or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns but are useless in judging whether the unearthed patterns are sensible because computers do not think the way humans think.
We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us but that we think computers are smarter than us and, so, trust computers to make important decisions for us.
The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.
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| Creation Date: | Sat, 10 Aug 2019 16:13:31 +0100 |
| This is a Multifile Torrent | |
| The AI Delusion (1).mp3 20.31 MBs | |
| The AI Delusion (2).mp3 21.67 MBs | |
| The AI Delusion (3).mp3 31.39 MBs | |
| The AI Delusion (4).mp3 21.32 MBs | |
| The AI Delusion (5).mp3 28.04 MBs | |
| The AI Delusion (6).mp3 24.01 MBs | |
| The AI Delusion (7).mp3 34.29 MBs | |
| The AI Delusion (8).mp3 23.65 MBs | |
| The AI Delusion (9).mp3 34.52 MBs | |
| The AI Delusion - Gary Smith - 2018.txt 1.51 KBs | |
| The AI Delusion.jpg 55.94 KBs | |
| Combined File Size: | 239.26 MBs |
| Piece Size: | 128 KBs |
| Comment: | Updated by Science Audiobook |
| Encoding: | UTF-8 |
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This post has 10 comments with rating of 4.5/5
August 10th, 2019
Wonderful stuff. Anyone know what happened to the great Huygensbase?
August 10th, 2019
Great. Thanks.
@caesar: one only hopes HB is just on summer vacation.
August 10th, 2019
Yeah, but he took all of his “deliverables” (vile management speak) with him to the beach.
August 10th, 2019
this was a bit underwhelming. Basically just talks about statistics and such and there isn’t much new information. Interesting topic, not a great book.
August 10th, 2019
@caesar - FWIW, Scribd is a very affordable way to get access to nearly unlimited audiobooks (or at least till HB returns)
August 10th, 2019
As Laurence Olivier would say: “is it ssafe?” (that film did a lot of damage to 1970s dentistry).
I’m always in the market for new suggestions, but is there ample scope to deliver snarky commentary, with an acute educational edge? Thanks, ole buddy.
August 10th, 2019
There are certainly wonderful things going on with artificial intelligence in general, and machine learning in particular (Netflix does very well in anticipating user preferences).
But the industrial revolution (and the agrarian revolution before that) spent its first few generations creating mega-fortunes for its key players, long before any significant trickle-down enriched us all.
Still, it’s better than another dark age.
August 10th, 2019
Better than another dark age? But I thought that you guys loved the 20th Century. Certainly, a nadir for humanity; but for evil, toxic, anti-life, slave-state ideologies? It had to be the very toppermost of the poppermost for all the alte kameraden.
August 13th, 2019
Does this mean the singularity/cyber-rapture is cancelled? Damn! I was so looking forward to spending eternity with Ray Kurzweil. We waz gonna talk shop & pop cyber vitamins all day.
December 13th, 2019
Not long ago, AI was thought to be unattainable - a parlor trick. Since then, great strides have been made - though not along the original paths. We are still in the early stages of AI and we can only make reasonably informed decisions on where the paths will lead.
Deep machine learning is still very dependent on the training sets we give the algorithms. Once problems too far outside those sets are encountered it can get weird. I saw a medical article about interpreting MRIs recently (disclaimer: I have written AI analysis & prediction systems for organ transplant systems in the country’s #1 rated hospital & research system]. 600,000 digital MRIs were given to top experts to diagnose with no other information. The top doctors did pretty well, with a success rate of about 80% or a bit more. An AI deep machine learning program, starting with just basic rules & data, taught itself to diagnose at an accuracy rate of 95%. That is still a way from my trusting a self-driving car - but the basic principles used were first worked out less than 20 years ago. What will the future bring with organic cpus & qbit systems (once they figure out how to forward correct errors better).
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