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alderz

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fweet.org 1y ago

Finnegans Wake Extensible Elucidation Treasury

alderz
37pts11
www.androidpolice.com 2y ago

Google's new color scheme for Maps has been spotted in the wild

alderz
1pts0
www.ft.com 4y ago

Lessons at Life’s Midpoint

alderz
1pts0
en.wikipedia.org 5y ago

Four Pests campaign – and the extermination of sparrows in China

alderz
6pts0
www.nytimes.com 5y ago

Over 3M People Took This Course on Happiness. Here’s What Some Learned

alderz
2pts0
pub.ist.ac.at 5y ago

Hexagonal tiling of the two-dimensional sphere (2015)

alderz
1pts0
tex.loria.fr 5y ago

Minicourse on Technical Writing – By Knuth, Larrabee, and Roberts (1989) [pdf]

alderz
2pts0
www.aaronsw.com 5y ago

Fix the Machine, Not the Person (2012)

alderz
1pts0
r2src.github.io 5y ago

Top Latex Fonts

alderz
3pts2
news.ycombinator.com 5y ago

Ask HN: Which PDF reader do you use on Linux?

alderz
3pts2
www.npr.org 5y ago

If You're Often Angry or Irritable, You May Be Depressed (2019)

alderz
5pts0
mathoverflow.net 5y ago

Crisis mode: potential flaw in PhD thesis two weeks before deadline

alderz
3pts0
jeff560.tripod.com 6y ago

Earliest Known Uses of Some of the Words of Mathematics

alderz
3pts0
github.com 6y ago

Arbitrary: Rust library to construct arbitrary instances of a type for fuzzing

alderz
2pts0
github.com 6y ago

Go issue: memory corruption on Linux 5.3.x from async preemption

alderz
1pts1
bford.info 6y ago

Are Only Type Parameters Generic Enough for Go 2 Generics?

alderz
1pts0
amstat.tandfonline.com 9y ago

The ASA's Statement on P-Values: Context, Process, and Purpose (2016)

alderz
3pts0
www.ncbi.nlm.nih.gov 9y ago

Eating less and more than needed on alternate days prolongs life (2006)

alderz
220pts123
arxiv.org 9y ago

The Predictron: End-To-End Learning and Planning [pdf]

alderz
2pts0
arxiv.org 10y ago

DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies [pdf]

alderz
2pts0
arxiv.org 10y ago

Philosophy in the Face of Artificial Intelligence [pdf]

alderz
1pts0
EP–133 3 years ago

The store page is struggling with 502's right now.

Looking at the CSS classes, it references the procedence of the mathematician: (North) America is green, Middle East orange, Asia red, and so on. Tao is the only blue: he is from Oceania (Australia.)

Architecture.md 5 years ago

I came to the comment section to compliment the choice of Garamond.

The web would look much more beautiful with proper justification. It's a pity technology is not there yet. TeX solved the problem for DVI/PDFs long ago, so maybe we should start blogging on PDFs!

Ipe is a lovely piece of software. I use it a lot and always feel that it deserves to be more well-known.

I do not find it especially good for commutative diagrams, though. I usually type tikz-cd code for those cases.

The author has written the novel "Permutation City", which I read after seeing it recommended here on HN a lot. It is a great book. I never thought I would be interested in sci-fi, but this book changed my mind. It deals with simulating conciousness and its implications.

If you enjoyed the post, and the author's website, be sure to read some of his books too!

In the subject of Artificial Intelligence it says:

Theorem: No AI will bother after hacking its own reward function.

and then goes on:

The picture [263] is that once the AI has figured out the philosophy of the “Dude” in the Cohen brothers movie Lebowski, also repeated mischiefs does not bother it and it “goes bowling”. Objections are brushed away with “Well, this is your, like, opinion, man”. Two examples of human super intelligent units who have succeeded to hack their own reward function are Alexander Grothendieck or Grigori Perelman.

Grothendieck abandoned the mathematical community after modernizing an entire field and eventually secluded himself in France. He is considered one of the greatest mathematicians https://en.wikipedia.org/wiki/Alexander_Grothendieck#Retirem...

I guess that for some people, and particularly in small reviews, it is enough with the list of files and inline comments.

I would like to have a tree view where I can see all the files at a glance, and, more importantly, switch back a forth between them. I find it hard to follow the code in Github's UX.

Also, Fisheye/Crucible gives you more flexibility to edit the review, by allowing you to remove files, and add or remove commits. Github PRs are based on branches, while Fisheye/Crucible code reviews are based on commits; it is an entire paradigm shift that gives the user more control. For example, I can create two separate reviews from the same branch on Crucible; that's impossible on Github.

By reading the stream of comments on the PR, and from my own experience, I feel that it is extremely cumbersome to do code reviews on Github. Atlassian's Fisheye/Crucible looks like a better solution. Does anyone think otherwise? I think Github has a large room of improvement in this regard; a PR is not the same as an issue.

The Go team has found that recent Linux kernels break the recently integrated goroutine preemption logic.

There is deep analysis here https://github.com/golang/go/issues/35326#issuecomment-55821... They have bisected the kernel and found that https://github.com/torvalds/linux/commit/d9c9ce34ed5c892323c... is the culprit. Apparently, it introduces changes in the signal handling behavior only visible when compiled with GCC 9, presumably because it uses AVX registers.

The entire discussion is a nice read.

How does the paper of Hauptmann prove P != NP?

Sigma_2^p != NP as far as I know and after a brief skimming the paper does not mention P != NP.

Edit: the paper does indeed mention P != NP in the form of P != Sigma_2^p => P != Sigma_1^p = NP. Please disregard my comment.

I find no mention in the article to org-mode. It is the reason I am sticking with emacs (well, spacemacs), nothing I have tried comes close. I have been a vim user for many many years and I love its simplicity compared to emacs, but org-mode is truly life-changing.

Because it is a mathematical model, and a reasonable one. When you have p( 211 to 220 ) = .0002 as in the article you don't need to consider negative values. The power of mathematical models comes from their ability to abstract these details.

Child’s play 10 years ago

"According to theory theorists, a child learns by constructing a theory of the world and testing it against experience. In this sense, children are little scientists – they hypothesise on the basis of observations, test their hypotheses experimentally, and then revise their views in light of the evidence they gather."

Like training neural networks: a hypothesis (initial set of parameters), an experimental test (evaluation of the loss function) and the revision of their views (gradient descent).