kernel_sanders

My kids learned to tie their shoes this way from this site and never knew differently. They're 20 and 17 now.

9 tahun yang laludiscuss

SageMaker

{1G}

Human Druid - Sage

{G}, Tap: Create 0/1 Plant Token named Seed of Knowledge

Sacrifice {X} Plants: Look at the top X cards of opponent's library

1/1

kernel_sanders

9 tahun yang laludiscuss

I made my own simple multiplayer 2d game to understand this stuff and just want to let you know that your site was invaluable to understanding client side prediction and server side reconciliation! Thanks so much for that!

kernel_sanders

9 tahun yang laludiscuss

How about airborndocs?

kernel_sanders

9 tahun yang laludiscuss

Yeah, I don't understand this. I read the FTC complaint and it hinged on the issue of collecting the data w/o explicit user consent, ie a pop up or message. Wouldn't nearly all internet companies fall in to this bucket? Ie, log aggregators, analytics SDKs etc?

kernel_sanders

10 tahun yang laludiscuss

This is how I got in to MtG, and can confirm that its super fun. If you're lucky enough to find a group of friends that will participate, don't let the opportunity pass you by.

kernel_sanders

10 tahun yang laludiscuss

This is one of my favorite DF stories bar none. The last time you posted it here and I read it, I laughed so hard and showed it to so many people.

Since then, I lost the link and forgot the terms to search for it! I'm so glad you reposted it. =)

kernel_sanders

11 tahun yang laludiscuss

Same for us

kernel_sanders

11 tahun yang laludiscuss

Can't launch instances in EC2 in US-East-1 at the moment.

kernel_sanders

12 tahun yang laludiscuss

Awesome. Thanks! Again, very clear. This is interesting stuff. It makes me curious about applications of stochastic processes in general - time to read the course notes you linked. They look like fun problems to program and model.

Edit: Wikipedia, of course, has a good overview of applications of Markov chains. http://en.wikipedia.org/wiki/Markov_chain#Applications

kernel_sanders

12 tahun yang laludiscuss

Thank you for the clear explanation.

In a previous comment, I sought to further understand how the Lottery possesses the Markov property. Based on your definition above, I can see that it does simply because the distribution X_t of winning numbers has the same dependence on X_{t-1} as it does on X_1, ..., X_{t-1}, that is, zero. Do I have that correct?

kernel_sanders

12 tahun yang laludiscuss

I'm interested in the above article and the above two comments, however, I don't understand the Lottery example. Can you clarify how it does have the Markov property?

I'm not seeing how the distribution of possible winning numbers relates at all to the current state. I'm trying to phrase this in the language of the above two comments. Help me out if I've got it all wrong. =)

kernel_sanders

13 tahun yang laludiscuss

This is hilarious. I voted yesterday and Snowden had 99% of the vote. He deserves to win.

Someone should conduct a real, independent poll an award a POY award from the Internets.

kernel_sanders

13 tahun yang laludiscuss

I love how simple and relevant the idea is - great job!

kernel_sanders

13 tahun yang laludiscuss

infinite { repeat(10){ = while(<128){+}++ >=^ = while(<128){+}++ v } v }

kernel_sanders

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