I feel reckless writing C/C++ code if I can't test it with Memcheck.
960 karma · joined January 17, 2012
I feel reckless writing C/C++ code if I can't test it with Memcheck.
On the other hand, I would argue that engineering, architecture, and industry rely heavily on visual languages such as technical drawings, blueprints, control/process flow diagrams, etc. Text is a good bet, but it's inadequate for a lot of problems related to the physical world that require spatial reasoning.
That implies to me that the self-taught+formally-trained people are in high demand and paid accordingly. Thus, Gelernter gets to choose among the people who are only self-taught or only formally-trained, and his sweeping viewpoints are based on his experiences with a subset of the workforce.
So while the government didn't have to prove beyond a reasonable doubt that his tweets about funding were material support, those tweets could be used to increase his sentence for the Reza Niknejad thing.
According to http://www.datacenterknowledge.com/archives/2013/01/18/faceb... , people upload 350 million new photos per day, and they have 240 billion photos total. If we use 1 MB per photo as an average, you'd need about 334 terabytes to store a day of Facebook's pictures. You'd need 228882 terabytes to store the whole thing. Assuming Wikipedia's estimate of $35/TB for desktop hard drives, it would cost about $8 million to store Facebook's photo archive (that's without videos or text). Actually hosting it would cost even more.
In 1945, the share of the total income of the richest 1% was 11.07%, while in 2014 it was 17.85%. For the richest 10%, 32.64% in 1945 and 47.19% in 2014. A big chunk of the US segregated K12 schools and disenfranchised a race of people that politicians now use as a caricature in order to de-fund welfare programs. Women were kicked out of paying jobs after substantially contributing to the war effort because men came back and expected women to be homemakers.
The belief that post-WW2 America was some kind of glorious classless meritocracy is a myth. It just took a few decades of the natural self-reinforcing loops of capital to highlight the inequality that was already there.
(specifics here: https://april.eecs.umich.edu/courses/eecs568_f12/linefitting... )
Also, if media can't change people's philosophies, what does according to science?
If recipes, then the metaphor makes no sense. You can use the "recipe" that is LibreOffice to produce "pizza" that is work products that people would pay for (such as a lawyer drafting contracts, a consultant making spreadsheets, etc). Nothing in the GPL stops someone from profiting from the output of a GPL'd program.
If pizza, then I can only assume the "recipes" would be programs that produce programs, such as compilers or parser-generators. In that case the metaphor also falls apart, since GNU programs of that type have license exceptions that make the output of those programs (and the additional compilation files needed to run like libc and bison include files) usable without following the GPL.
A recent article ( http://www.hailpixel.com/articles/technical-cofounders ) and the accompanying HN discussion ( https://news.ycombinator.com/item?id=8959377 ) highlights how exploitative the "technical co-founder" relationship can be -- you may want to evaluate whether your situation resembles something like that and whether you want to re-negotiate or leave.
At its philosophical core, defense-in-depth is the idea of delaying an attacker rather than preventing an attack. In a military or IT situation this delay usually lets the defender detect the attack and counterattack/prosecute. In the cracking world, the delay IS the counterattack, since release groups measure their performance based on release quickness and the company (theoretically) gains revenue from the game not being on Kazaa during that critical sales season.
Most media companies in that era attempted to build an "uncrackable" system which always got cracked in short order because the mechanism depended on one tactic. By acknowledging that all protection schemes eventually get figured out and acknowledging the adversary's strengths and weaknesses, the author could then employ defense-in-depth techniques to maximize the cost of cracking the system.
Remember that every adversary has a budget.
[1]: https://en.wikipedia.org/wiki/Relevance_Paradox
[2]: https://en.wikipedia.org/wiki/Hierarchical_incompetence
My impression was that "data scientist" was a colloquialism for "statistician that knows how to program." Is a scientific programmer just a programmer that knows some statistics? Why is the direction important? The author says he/she feels that a programmer that knows statistics can make "more robust software" than the other way around, but what exactly does that mean? Do they mean "doesn't crash as much", or do they mean "gives the right answer more often?"
Based on the paper, it appears that they performed targeted mutations to manipulate the Mrap2 gene and fed the mice equal quantities of chow, and then they did the tests described in the parent article. At least to me, this is strong evidence that this gene affects obesity in mice.