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You lost me at `With terraform, my HCL modules worked no matter what language the service is written in`. With terraform your HCL modules only work if they are written in an obscure language called HCL.


Norvig addresses this at the end of f http://norvig.com/Lisp-retro.html . Basically these old AI techniques are now considered regular programming and modern AI is focused on ML. Both are useful but for different tasks.


That is a great retrospective! Still very relevant 20 years after it was updated.


I don't think it's always true, but in my case because the open source versions have more and better functionality, more flexible design, better documentation, are already known and used by thousands of people (easier on boarding), and maintained by a large community. It's true it has some functionality we don't need, but a couple megabytes of memory is pretty cheap relative to all the other things.


What is the rationale in making something like a hearing aid require a prescription? I can understand addictive drugs, you don't want them misused. What about the million other things that require a prescription?


Ok, that's pretty wild. Can it work on earth too? That seems like a good starting point.


This was published in 1986.

Tunneling with nuclear machines on Earth had been under consideration for decades before [1]. It's not entirely clear why it was abandoned, but most likely something didn't work out in practice like it was supposed to do in theory.

[1] https://nationalinterest.org/blog/buzz/americas-mad-scientis...


i posted Subselene (1986) because the earlier 1973 proposal to do similar on earth (Subterrene) was also submitted recently,

https://news.ycombinator.com/item?id=28559927


Imagine if we invented a device that gave people access to all the information in the world and then made fun of them for using it.


Fascinating paper but the benchmarks seem incredibly weak. 5000 features for a bag of words model is nothing,these models normally have tens or hundreds of thousands of features.


True, it comparisons do a lot better with more features.

This paper looks to just show the major winning aspect of using CovNets as they do not need many features as the deep net learns its own representations of the training data. It more to show CovNets work on more then just vision.

But architeching the pooling layers IS adding complex to the simple input feature set. Therefore the comparison should be of only state of the art ML.


Privacy, as it exists today, is entirely a modern invention. For most of human history people lived in small groups where everyone knew everyone else very well. It was not until industrialisation that we had mega cities where no one knows anyone.


You are selecting facts that are convenient for you.

You are correct that small groups were often tightly knit. But you are ignoring the persistence of modern surveillance: Your neighbor or clan-mate never followed you everywhere. Since the invention of shelter you always had privacy in your home with your family. You could always have a confidential conversation with a friend.

All of those things are more difficult now than they were ten years ago, or hundreds of years ago, or thousands of years ago.

Furthermore, you never had a statistical profile built on your behavior, where members of your society could predict your movements and desires.


> For most of human history people lived in small groups where everyone knew everyone else very well.

Someone already mentioned issues with your statement, but I will add on another issue. Even when living in small, tight-knit communities, if you screwed up your social standing (for whatever reason), you had the option to leave the group, possibly to another group, without your entire life-history following you.


But this 'surveillance' was: 1) voluntary 2) symmetrical 3) done by humans with understanding and compassion


I don't think everyone knew everyone else very well in ancient cities like Rome, Athens and many others. Certainly more people historically lived in villages, but cities have been around for millenia and even in villages people were more intimate with their family than everyone else.


You're right, Japan has a long and very interesting obsession with poop, primarily due to their geography.

Japan is a series of volcanic islands with, historically, a very limited indigenous supply of large poop producing creatures like like cows, horses, and pigs. The result is that there was a great scarcity of fertile soil. To supplement their soil they instead relied on human feces. So valuable was it that back in the day you could sell your poop to professional manure collectors who walked around town with large pots.

The cultural legacy extends well beyond toilets. You may have seen recent articles about people creating meat from poop, and poop powered motorcycles. It's no coincide that those are Japanese inventions. Funny how a thing like geography affects things.


It just started on Monday, there's plenty of time to join in.

There have been some huge developments in neural networks in the last few years, particularly with respect to deep learning. If you missed out on that you might want to try this class. Hinton has been involved in many of these advances.

The second half of the course appears to focus on deep learning topics so you might want to start there if you already know the basics.


you cant start mid-way though ... right ?


You'll have to wait until those lectures are made available, but you don't have to complete the previous work to see the lectures.


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