cynicaldevil

You're really twisting what happened here. It wasn't so much "yanked" as it was "replaced". I was initially against the idea, but soon got around to it. It was a very risky and daring move by the government, but it was a good one.

"Reflections on Trusting Trust": https://www.ece.cmu.edu/~ganger/712.fall02/papers/p761-thomp...

Not exactly, there exist various approximations for some problems which give a better solution than brute force.

I don't understand this, AFAIK a problem is NP-Hard or NP-Complete (or P) in _general_, that is, over all instances. But not so for a specific instance. Wouldn't these games count as just one specific instance of the problem?

How did you learn these topics? Did you solve problems for each of them?

Oh they still have the charts, I always check it before boarding :)

If someone wants a more detailed explanation about the gates mentioned in the blog, consider reading the introductory chapter to 'Quantum Computation and Quantum Information' by Neilsen and Chuang.

I don't think the author necessarily means being a CEO is an unworthy line of work. What he wants us to understand from this is that it's futile deriving one's worth from the fact that he's the CEO and that he has the ability to boss other people around, but instead he must seek worthiness from the fact that he has the potential to bring about significant change in this world; more than most people could, because like you said, he is not just some "cog in the wheel", but someone who is in charge of many like-minded people who belive in him.

For the uninitiated: https://xkcd.com/303/

Dunno if trolling or actually serious...

Wow this feels tailor made for people like me. I want to do further studies in deep learning after I graduate, but I'm not really keen on spending 4/5 years of my life on it. I'll be keeping an eye on this....

What I learnt on 1v1 was that you should keep travelling towards the opposite corner of the map, forming one or two very thin attack lines, to surprise them in the beginning itself.

Sometimes I used the first, weaker one as a recon team, so that they give me the king's location before they are slaughtered, and then the second, stronger one comes in from an altogether different route and finishes them.

Really addictive game! Definitely a great game to kill time!

I'd read a few articles from your blog some time ago and I must say I really liked it! Especially those about automata and Turing Machines. I'll definitely consider buying your book!

Also; "The Last Question" by the same author. Its a short story with a similar premise.

Is it possible to read the book without reading the first two parts beforehand?

Where did you get that notion? At least among people working in the tech sector, it is widely believed that we will achieve AGI one day, and that too with the the help of Turing machines. Except for Roger Penrose's argument against this, I haven't seen any opposition to this belief yet.

Usually people begin by contributing to projects which they already use. For a beginner, it might be better to start contributing to a project which is mainly written in the language which they're familiar with. Also, try to find a project which is beginner friendly; they usually have some issues marked as 'beginner' or 'good first bug', and also have a CONTRIBUTING.md page.

Bonus: A good idea is to start contributing to a project which contain problems sets to be solved by coding the solutions in a particular language. You could send PRs for creating/implementing some problems. http://exercism.io/ is a good example.

Same here. Except I use 'myfork' as the name for my remote repo. Origin/upstream always got me confused when I first started learning Git, so I created my own naming conventions.

If I'm right, one of the advantages of this move is that llvm will finally switch over to using Git as its main version control system, and get rid of svn altogether.

I'm probably not as old as you; I turned 20 a couple of days ago, and I most certainly do not want to become an entrepreneur, but here's something about how I keep myself motivated:

Each day; at least once, I try to read/think about something which makes me feel totally worthless. It could be anything, about how there are people out there building really awesome stuff, conducting research in various STEM fields, or producing fantastic works of art, just anything good, really. Elon Musk's Mars mission would be a great example.

Realising this fact makes feel really, really guilty inside, and I know that I am not contributing enough to this world. That's all the motivation I need to get on with my work.

This stuff may sound a little cheesy, but it works for me :)

I remember my friend mentioning this when I told him I had just started web development and wanted to learn a new framework. I even selected the features I thought I should have, hit the download button, and was surprised to see an empty folder in my downloads *facepalm"

Weird...I'm on a linux desktop and the scrolling is just awful.

This here is a very good example of how NOT to make a webpage.

The totalitarian authority in 1984 actually has the exact opposite goal. They wanted to control creativity, self expression, and thinking of new ideas as much as possible, and one of the methods to achieve this goal was to try to reduce the number of words being used in the general vocabulary of the public.

Evolutionarily beneficial to eat your own children? Could you explain how?

The hardest part here is not the actual generation of code, but to analyze the problem first and to determine what data structures/algorithms are best suited to tackle it. Also, there are a lot of real world examples used in these problems, so the AI would need a general understanding of the modern-day world, which again, is hard.

Lastly, even if the AI figures out the implementation, it has to take care of all the edge cases too, so that the test cases pass. But I suppose this is a trivial problem compared to the other two I mentioned above...

But I argue that those are pictures of the same cat, and most of the images will be very, very similar. Of those thousands of pictures, only a few, noticeably different pictures would matter.

You seem to forget that the photos are labelled, which counts as supervised learning. What us humans excel at is unsupervised learning, which is difficult for machines. But yes, I agree that humans have the advantage of continuous video access.

I see. Could you link some articles about these techniques?