nhaliday + heavyweights + summary   5

Peter Norvig, the meaning of polynomials, debugging as psychotherapy | Quomodocumque
He briefly showed a demo where, given values of a polynomial, a machine can put together a few lines of code that successfully computes the polynomial. But the code looks weird to a human eye. To compute some quadratic, it nests for-loops and adds things up in a funny way that ends up giving the right output. So has it really ”learned” the polynomial? I think in computer science, you typically feel you’ve learned a function if you can accurately predict its value on a given input. For an algebraist like me, a function determines but isn’t determined by the values it takes; to me, there’s something about that quadratic polynomial the machine has failed to grasp. I don’t think there’s a right or wrong answer here, just a cultural difference to be aware of. Relevant: Norvig’s description of “the two cultures” at the end of this long post on natural language processing (which is interesting all the way through!)
mathtariat  org:bleg  nibble  tech  ai  talks  summary  philosophy  lens  comparison  math  cs  tcs  polynomials  nlp  debugging  psychology  cog-psych  complex-systems  deep-learning  analogy  legibility  interpretability  composition-decomposition  coupling-cohesion  apollonian-dionysian  heavyweights 
march 2017 by nhaliday
The Setup / Russ Cox
I swear by the small Apple keyboard (in stores they have one that size with a USB cable too) and the Evoluent mouse.

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I run acme full screen as my day to day work environment. It serves the role of editor, terminal, and window system. It's hard to get a feel for it without using it, but this video helps a little.

Rob Pike's sam editor deserves special mention too. From a UI standpoint, it's a graphical version of ed, which you either love or hate, but it does two things better than any other editor I know. First, it is a true multi-file editor. I have used it to edit thousands of files at a time, interactively. Second, and even more important, it works insanely well over low-bandwidth, high-latency connections. I can run sam in Boston to edit files in Sydney over ssh connections where the round trip time would make vi or emacs unusable. Sam runs as two halves: the UI half runs locally and knows about the sections of the file that are on or near the screen, the back end half runs near the files, and the two halves communicate using a well-engineered custom protocol. The original target environment was 1200 bps modem lines in the early 1980s, so it's a little surprising how relevant the design remains, but in fact, it's the same basic design used by any significant JavaScript application on the web today. Finally, sam is the editor of choice for both Ken Thompson and Bjarne Stroustroup. If you can satisfy both of them, you're doing something right.

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I use Unison to sync files between my various computers. Dropbox seems to be the hot new thing, but I like that Unison doesn't ever store my files on someone else's computers.

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I want to be working on my home desktop, realize what time it is, run out the door to catch my train, open my laptop on the train, continue right where I left off, close the laptop, hop off the train, sit down at work, and have all my state sitting there on the monitor on my desk, all without even thinking about it.
programming  hardware  plan9  rsc  software  recommendations  techtariat  devtools  worse-is-better/the-right-thing  nostalgia  summer-2014  interview  ergo  osx  linux  desktop  consumerism  people  editors  tools  list  google  cloud  os  profile  summary  c(pp)  networking  performance  distributed  config  cracker-prog  heavyweights  unix  workflow 
july 2014 by nhaliday

bundles : meta

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