computerviruscatalog.com > artist interpretations of the Average viruses from computer history ▋
A Matter For Men, illustration by Alex Nino, 1983
computerviruscatalog.com > artist interpretations of the Average viruses from computer history ▋
A Matter For Men, illustration by Alex Nino, 1983
A corrected version of this: http://enki2.tumblr.com/post/55870664968/waclips-47
The 1947 design by Doug Ring formed the basis for all later analog mobile telephone networks, although digital mobile telephone networks do not use it (and thus, digital mobile telephones are not ‘cell phones’ in a technical sense, because they do not rely upon cellular tower a configuration).
The 1968 Dynabook design formed the use case by which a number of other technologies were developed – including object oriented programming, the PARC / WIMP GUI, and visual programming. The Dynabook was intended as a computer to be given to schoolchildren to teach them to program and to provide them with a source of information. Because of budget restrictions, the Dynabook was never built as designed, although one machine carried the name. The One Laptop Per Child project is a more recent implementation of the same goal.
The Picturephone was demonstrated by AT&T at the 1964 World’s Fair. A survey of attendees indicated that most of them wanted one; this led AT&T to invest considerably in the hardware and infrastructure necessary to support widescale sales, but it turned out that the demand was illusory (hardly anybody actually wanted one) and the whole project was a huge money sink for AT&T.
Steve Mann has been building and wearing wearable computers with head-mounted displays since the 1980s. The picture shown was from 1992, and aside from Mann, everyone in the picture is wearing commercially available head mounted displays and using commercially available input devices.
Werner Jeker, artwork for Kodak (service) poster, help!, 1975. Graphis Posters 75. Source
I train neural networks, which are a type of machine learning program that imitates the way human brains learn. (Technically, they’re artificial neural networks, to differentiate them from the biological sort). Unlike traditional computer programming, where a human programmer comes up with a long set of rules for a computer to follow, with neural networks, the computer learns by example and comes up with its own rules.
Most of us encounter neural networks every day - they power face recognition, automatic language translation, object recognition, and self-driving cars. The neural networks I train, though, are for more modest, and sillier purposes - inventing new paint colors (like Burf Pink and Stanky Bean) or new names for guinea pigs (Popchop and Fuzzable, for example).
Today’s experiment: computer algorithms.
Not the algorithms themselves, mind you - that sounds difficult. Just their names. 2045 of them from the Wikipedia list of computer algorithms (big thanks to Joshua Schachter for extracting the data). I gave them to a simple char-rnn neural network, thinking it would be very interesting to find out what one computer program decides to name another.
The results do sound pretty algorithmic - you might be able to get away with recommending these to a programmer who’s stuck on a problem, if you leave before they google it.
Moshwack algorithm
Stardand’s algorithm
Super–Kelnic algorithm
Soft sort
Vandical time algorithm
Moloning
Go sort
Hair mato-sort
Speedated heeling tree
Jusi tree Shamer
Gorper’s algorithm
Protacons
Spade optimization
Wash problem
Gore search
Bollard method
These are a bit less plausible (especially the inevitable fart algorithms. For some reason, the word “fart” often comes up in this neural network’s results.)
Farter search
Prebabel strung parser
Boonfus-(computer scearch
Stani computer somplerity farter estimator
Purparden argloximication
Rendamical fimfering
Pint blops
Wolgaren farting
Gimprach relucing
Suav clopping
Random damplestremptic ferchion
Pand fassing
Aromatic pashering contex algorithm
Farter-hear srial fecty optimization
And these prove that basic and simple does not necessarily mean more believable. Don’t suggest using these. You will not sound smart.
Jashen computer statistication
Computer algorithms
Mathator sort
Somperting problem
Complexity computing
Code forting algorithms
Rare algorithm
Lean mathing
Coding
Rarge problem
Compater partimation
Gerertic proplem
Spreeer–Mate proplem
Barse me
A few bonus algorithms? You bet. Follow this link, fill out the form, and I’ll email them to you.
Also: POLL! I’m collecting names of Halloween costumes for training a future neural network. Enter as many as you like (no email address required).
This long, detailed article goes into the history of the Czechoslovakian game development scene. According to the author, since there couldn’t be a formal game industry, independent developers made games for non-entertainment purposes, often as ways to show off their coding skills and sometimes as a vehicle for dissident political speech.
tHE Sc-3000 (sEga cOmPUTER 3000) is ThE FiRsT aNd oNLY cOmpuTEr To be deSigNed AND MANufaCtUred bY seGA in 1983
[ Sailor Wars ]
Illustration by Yongsik Jung (letme) via Emmanuel Olarewaju
haters will see me at my weekly circlejerk session with the bros and b like “you construct intricate rituals to touch the skin of other men”
