ameasure's comments

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.

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.

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.

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'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.

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.

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.

Hinton is a huge figure in the neural network literature and an important researcher in deep learning. After going through the first week of lectures, I can say he's also an excellent teacher.

The syllabus, draft though it is, indicates the second half of the class will focus on deep learning, a field of machine learning that has demonstrated huge potential.

Hynix (2nd largest memory chip maker after Samsung) and friends were fined just a couple years ago for price fixing memory, http://www.bbc.co.uk/news/10126755. If competition isn't a problem, why waste money on costly innovation?

Reminds me of Eastman Kodak circa 1975 http://en.wikipedia.org/wiki/Eastman_Kodak#Shift_to_digital.

That said, this is pretty weak evidence of collusion.

His point is that certain changes to the Google Market are making it harder for indies to get noticed. That is a legitimate concern that should be of interest to HN app makers. Whether or not you like his apps is irrelevant.

I went to a solidly 4th tier university (out of 4 tiers, as I recall). I now work and regularly interact with people from the best universities, Harvard, Princeton, etc, and I can tell you that as far as knowledge and ability are concerned, they have no advantage.

If you're committed to learning and improving yourself, you don't need the ivy league's approval.

And you automatically grant Craigslist your first born child and all future earnings and your left index finger. Laywers love to fill these things with unenforceable outlandish crap. The courts are more discerning.

If you're interested in comparing the various market shares, a simple bar chart is much easier to understand, just look at which one is taller.

With these rectangle/tree map things, I never know what to think: well this one is wider, but this other one is taller; you have to do multiplication just to compare 2 market shares.

I have 2 theories for why this happens:

1) The people drawing up these contracts know nothing about software. They are often non-technical, elderly, upper-management types that have never written a line of code in their life. For all they know, adding a link to a webpage is a 2 week project.

2) Congress punishes federal agencies for not spending all of their budget each year by cutting their budgets. As a result, towards the end of the fiscal year every federal agency goes on a crap buying spree to make sure they've spent every last penny.

Another basic tenet of democracy is that its citizens must be informed. I think it's fair to assume that those who lack access to written knowledge are at a disadvantage in this respect. For what it's worth, I upvoted the comment. Downvoting it to the point of invisibility strikes me as rather undemocratic.

Unfortunately, this is not just an Indian trait, but a human one. http://en.wikipedia.org/wiki/Fundamental_attribution_error. Kudos to those who can look in the mirror and see their faults. It is a rare and valuable skill.