The few times I've tried to read Kahneman's book I must admit that I stopped pretty early. I found his writing style too authoritative, without presenting much evidence for the theories he lays out.
And you're well served with this response, as the actual work he did is basically not reproducible. No matter how many best selling books made into movies; it's still bullshit. https://replicationindex.com/category/thinking-fast-and-slow... https://slate.com/technology/2016/12/kahneman-and-tversky-re... https://jasoncollins.blog/2016/06/29/re-reading-kahnemans-th... I read it on advice of a good pal, and it sure seem…
Thinking Fast and Slow, Deep Learning, and AI [video]
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Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#12The quality of the guests is amazing but the host is extremely off-putting and difficult to listen to.
Those are very strong words. Why?
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#13Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#14The few times I've tried to read Kahneman's book I must admit that I stopped pretty early. I found his writing style too authoritative, without presenting much evidence for the theories he lays out.
And you're well served with this response, as the actual work he did is basically not reproducible. No matter how many best selling books made into movies; it's still bullshit. https://replicationindex.com/category/thinking-fast-and-slow... https://slate.com/technology/2016/12/kahneman-and-tversky-re... https://jasoncollins.blog/2016/06/29/re-reading-kahnemans-th... I read it on advice of a good pal, and it sure seem…
Most of the book is still considered correct.
Plus, he readily admitted to the faulty parts and made a very strong request to the affected research teams to clean up their act and pretty much re-do all experiments multiple times, by multiple labs, with external oversight.
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#15The few times I've tried to read Kahneman's book I must admit that I stopped pretty early. I found his writing style too authoritative, without presenting much evidence for the theories he lays out.
Given the consistency of these experimental outcomes, may help to explain his authoritative tone. After all, he won a Nobel prize in economics which is completely outside his domain expertise.
If that is not enough to entice you to give it another go, consider the book, The Undoing Project, by Michael Lewis. Lewis, in his highly researched and using detailed anecdotes describes how Kahnemans and Tversky collaboration initially began as a collaboration around understanding the decision making process in circumstances where there is a high degree of uncertainty and acquiring additional information is not feasible. The Khanamen/Tversky collaboration is described as a deep collaboration where neither man claims credit for their respective contributions. Only both minds together could have produced their research findings.
Lewis also describes how many reviewers of his book, Moneyball, expressed the many parallels between Kahnemans/Tversky's research and themes covered in Moneyball. Lewis was not familiar with this research when he wrote Moneyball. It was not until others pointed out these parallels that Lewis decided he should engage with Kahneman to write The Undoing Project.
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#16The quality of the guests is amazing but the host is extremely off-putting and difficult to listen to.
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#17The few times I've tried to read Kahneman's book I must admit that I stopped pretty early. I found his writing style too authoritative, without presenting much evidence for the theories he lays out.
And you're well served with this response, as the actual work he did is basically not reproducible. No matter how many best selling books made into movies; it's still bullshit. https://replicationindex.com/category/thinking-fast-and-slow... https://slate.com/technology/2016/12/kahneman-and-tversky-re... https://jasoncollins.blog/2016/06/29/re-reading-kahnemans-th... I read it on advice of a good pal, and it sure seem…
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#18Earlier quoted context omitted.
And you're well served with this response, as the actual work he did is basically not reproducible. No matter how many best selling books made into movies; it's still bullshit. https://replicationindex.com/category/thinking-fast-and-slow... https://slate.com/technology/2016/12/kahneman-and-tversky-re... https://jasoncollins.blog/2016/06/29/re-reading-kahnemans-th... I read it on advice of a good pal, and it sure seem…
As far as I understand it, only a small part of his book is based on distrusted research (and was that even his work or did he just write it up? Cannot remember). Most of the book is still considered correct. Plus, he readily admitted to the faulty parts and made a very strong request to the affected research teams to clean up their act and pretty much re-do all experiments multiple times, by multiple labs, with exte…
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#19The quality of the guests is amazing but the host is extremely off-putting and difficult to listen to.
Re: Thinking Fast and Slow, Deep Learning, and AI [video]
#20The quality of the guests is amazing but the host is extremely off-putting and difficult to listen to.
I find that Lex often side-steps technical depth and wanders into the philosophical side of things. He has the opportunity to ask diving questions but he simply scratches the surface with nearly every guest. It's not entirely his fault, he's under time constraints but I'd hope for more intellectual stimulation. That said, I do appreciate his efforts and he seems like a genuinely nice fella.
I'd much rather hear LeCun, Goodfellow, Schmidhuber and Bengio talk about what they're currently working on and where they think the field will go in the next year or two instead of their wild guesses about AGI. I guess the futurism crowd is much larger audience though.