enkiv2

58 ms·

601.
by enkiv2 11y ago
Just to point out -- hypertext systems prior to the web almost universally expected permanent stable addresses (and this was, for instance, required by the various Xanadu specs). Enquire (Tim Berners-Lee's immediate predecessor to the
602.
by enkiv2 11y ago
Name collision :<. I knew I should have been more original! Everybody who's read The Moon is a Harsh Mistress will have had the same idea.
603.
As am I, so will you be: in the future everything is leaked(medium.com)
2 points by enkiv2 11y ago|0 comments
604.
by enkiv2 11y ago
The difference is that the guy in the skybox doesn't get to choose the colors of the teams' uniforms or unilaterally decide to change the rules of Football.
605.
Udanax Green / FeBe(udanax.xanadu.com)
1 points by enkiv2 11y ago|0 comments
606.
The Uber endgame: privatized public transit(theawl.com)
102 points by enkiv2 11y ago|152 comments
607.
by enkiv2 11y ago
Speed is achievable in prolog in a variety of ways. One is to make use of cuts and structure code so that it fails early. Another is to optimize the hell out of the interpreter. Another is to rewrite prolog code in another language & op
608.
Mycroft – A distributed declarative logic language(github.com)
27 points by enkiv2 11y ago|2 comments
609.
Peter Watts and p-zombies(firstchurchofspacejesus.blogspot.com)
1 points by enkiv2 11y ago|0 comments
610.
by enkiv2 11y ago
The author probably should have expanded upon the point about sizing. Having even an incidentally undersized cluster for ES is dangerous. I worked with ES for a while with a pretty reasonably sized cluster and what I considered to be a pret
611.
Interacting with Fiction(medium.com)
1 points by enkiv2 11y ago|0 comments
612.
by enkiv2 11y ago
I don't see why he doesn't just stop bathing and stop changing his clothes altogether, if this is his goal. (After all, this is the same guy who drank a potent antibiotic to keep himself from defecating in order to save water; tha
613.
Generate future scenarios(github.com)
1 points by enkiv2 11y ago|0 comments
614.
by enkiv2 11y ago
Meanings aren't found, because they aren't an aspect of the outside world but of our mental landscape. Meanings are invented by human beings and then imposed upon the outside world. As a result, I'm sure some people have alre
615.
by enkiv2 11y ago
Someone who only knows one or two languages is not worth paying.
616.
Schematic for a Generosity Engine(medium.com)
46 points by enkiv2 11y ago|4 comments
617.
by enkiv2 11y ago
It's not just the valley. The whole market crashes every ~8 years. Expect a crash before mid-2017.
618.
by enkiv2 11y ago
Startups are challenging. Nearly all startups fail, and whether or not they succeed has very little to do with the quality of the idea, the work, or the people involved.
619.
by enkiv2 11y ago
Learn all of the above. If you hear about a language and it seems like it's significantly different from the ones you know, learn it. Learn all the languages.
620.
by enkiv2 11y ago
You're missing six more years. Don't worry about it. Mature programmers don't appear overnight, and immature programmers aren't worth their salt.
621.
Language Understanding for Text-based Games Using Deep Reinforcement Learning [pdf](arxiv.org)
31 points by enkiv2 11y ago|6 comments
622.
Why Agile and Scrum Are Terrible(michaelochurch.wordpress.com)
8 points by enkiv2 11y ago|23 comments
623.
Pharohs of Silicon Valley(clickhole.com)
1 points by enkiv2 11y ago|0 comments
624.
by enkiv2 11y ago
I don't see any bayesian language here. Could you point to some examples?
625.
Myths of competence and specialization(medium.com)
1 points by enkiv2 11y ago|3 comments
626.
Against certain naive varieties of transhumanism(firstchurchofspacejesus.blogspot.com)
2 points by enkiv2 11y ago|0 comments
627.
Failure modes of science fiction(firstchurchofspacejesus.blogspot.com)
1 points by enkiv2 11y ago|0 comments
628.
On the variety of ways media influence content length(bbs.boingboing.net)
1 points by enkiv2 11y ago|0 comments
629.
by enkiv2 12y ago
Being a programmer implies a kind of mastery over the concepts, of the type that you only get with experience. You only get that experience by having experience with a variety of tools. Knowing how to use a hammer doesn't make you an e
630.
Tinder for Guinea Pigs: generate startup descriptions(github.com)
4 points by enkiv2 12y ago|0 comments

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