Monthly Archive for April, 2007

Dinner in the Sky

Dinner in the Sky

Din­ner In The Sky is for peo­ple who expect more from their restau­rants than four con­crete walls and a solid floor. Instead, din­ers perch around a mas­sive table, which is sus­pended from a crane high up in the air.

It sounds com­pletely insane, but as the most unusual — and entirely legal — way of get­ting high over din­ner, it is the new must-do expe­ri­ence for the super-rich and adventure-hungry who yearn for some­thing a lit­tle more extreme at mealtimes.

Pie in the sky: The 150ft-high restau­rant | the Daily Mail

“Looting” vs. “Finding”

Looting vs. Finding

The History of Meal Times

Supper Party by Gerrit van Honthorst
Sup­per Party by Ger­rit van Honthorst

Today we don’t always agree on the names and times of our meals. Some of us have din­ner at eight, while oth­ers have sup­per at five. It wasn’t always that way.

The names of meals and their gen­eral times were once quite stan­dard. Every­one in medieval Eng­land knew that you ate break­fast first thing in the morn­ing, din­ner in the mid­dle of the day, and sup­per not long before you went to bed, around sun­down. The mod­ern con­fu­sion arose from chang­ing social cus­toms and classes, polit­i­cal and eco­nomic devel­op­ments, and even from tech­no­log­i­cal innovations…

Read more at His­tory Mag­a­zine: What Time is Dinner?

What Does OK Stand For?

Oh No by Ok Go
Oh No” by Ok Go

The ety­mol­ogy of OK was mas­ter­fully explained by the dis­tin­guished Colum­bia Uni­ver­sity pro­fes­sor Allen Walker Read in a series of arti­cles in the jour­nal Amer­i­can Speech in 1963 and 1964.The let­ters, not to keep you guess­ing, stand for “oll kor­rect.” They’re the result of a fad for com­i­cal abbre­vi­a­tions that flour­ished in the late 1830s and 1840s.

Read but­tressed his argu­ments with hun­dreds of cita­tions from news­pa­pers and other doc­u­ments of the period. As far as I know his work has never been suc­cess­fully challenged.

The abbre­vi­a­tion fad began in Boston in the sum­mer of 1838 and spread to New York and New Orleans in 1839. The Boston news­pa­pers began refer­ring satir­i­cally to the local swells as OFM, “our first men,” and used expres­sions like NG, “no go,” GT, “gone to Texas,” and SP, “small potatoes.”

Many of the abbre­vi­ated expres­sions were exag­ger­ated mis­spellings, a stock in trade of the humorists of the day. One pre­de­ces­sor of OK was OW, “oll wright,” and there was also KY, “know yuse,” KG, “know go,” and NS, “nuff said.”

Most of these acronyms enjoyed only a brief pop­u­lar­ity. But OK was an excep­tion, no doubt because it came in so handy. It first found its way into print in Boston in March of 1839 and soon became wide­spread among the hip­per element.

It didn’t really enter the lan­guage at large, how­ever, until 1840. That’s when Demo­c­ra­tic sup­port­ers of Mar­tin Van Buren adopted it as the name of their polit­i­cal club, giv­ing OK a dou­ble mean­ing. (“Old Kinder­hook” was a native of Kinder­hook, New York.)

The Straight Dope: What does “OK” stand for?

Spin

Spin

Check out this award win­ning short film by Jamin Winans of Dou­ble Edge Films. “Spin” fea­tures a mys­te­ri­ous DJ with an unusual tal­ent. Look for the funny sign; it par­tic­u­larly holds true for me at the moment.

Spin @ YouTube

Picturing Hard Times

by Renée C. Byer

Renée C. Byer, win­ner of the 2007 Pulitzer Prize for fea­ture photography.

In 20 pic­tures, a poignant por­trayal of a sin­gle mother and her young son as he loses his bat­tle with cancer.

Amaz­ing pho­tos. Heart­break­ing content.

2007 Pulitzer Prizes — Fea­ture Pho­tog­ra­phy, Works via Red­dit

Life Lessons

wealth without money by javajive
Wealth With­out Money by java­jive

Les­son 2: A sales rep, an admin­is­tra­tion clerk, and the man­ager are walk­ing to lunch when they find an antique oil lamp. They rub it and a Genie comes out. The Genie says, “I’ll give each of you just one wish” “Me first! Me first!” says the admin. clerk. “I want to be in the Bahamas, dri­ving a speed­boat, with­out a care in the world.” Poof! She’s gone. “Me next! Me next!” says the sales rep. “I want to be in Hawaii,relaxing on the beach with my per­sonal masseuse, an end­less sup­ply of Pina Coladas and the love of my life.” Poof! He’s gone. “OK, you’re up,” the Genie says to the man­ager. The man­ager says, “I want those two back in the office after lunch.”

Moral of the story: Always let your boss have the first say.

Read the rest of these infor­ma­tive lessons at Six Funny Life Lessons | Who the hell is Carl Pei?

Cumulative Advantage

iPod silhouettes by royalblue
iPod sil­hou­ettes by roy­al­blue

Here is a fas­ci­nat­ing arti­cle from the New York Times. It refers to “cumu­la­tive advan­tage”, the phe­nom­e­non we see with a hit TV show like Lost, an iPod, or a overnight music star such as Norah Jones. As more and more peo­ple dis­cover that their friends enjoy a par­tic­u­lar prod­uct, the inter­est in this prod­uct snow­balls. The arti­cle is based on data from the Music Lab project, a study which I par­tic­i­pated in. It drew some inter­est­ing, although not unpre­dictable, con­clu­sions. Read it in full to find out more.

Con­ven­tional mar­ket­ing wis­dom holds that pre­dict­ing suc­cess in cul­tural mar­kets is mostly a mat­ter of antic­i­pat­ing the pref­er­ences of the mil­lions of indi­vid­ual peo­ple who par­tic­i­pate in them. From this common-sense obser­va­tion, it fol­lows that if the experts could only fig­ure out what it was about, say, the music, song­writ­ing and pack­ag­ing of Norah Jones that appealed to so many fans, they ought to be able to repli­cate it at will. And indeed that’s pretty much what they try to do. That they fail so fre­quently implies either that they aren’t study­ing their own suc­cesses care­fully enough or that they are not pay­ing suf­fi­ciently close atten­tion to the chang­ing pref­er­ences of their audience.

The common-sense view, how­ever, makes a big assump­tion: that when peo­ple make deci­sions about what they like, they do so inde­pen­dently of one another. But peo­ple almost never make deci­sions inde­pen­dently — in part because the world abounds with so many choices that we have lit­tle hope of ever find­ing what we want on our own; in part because we are never really sure what we want any­way; and in part because what we often want is not so much to expe­ri­ence the “best” of every­thing as it is to expe­ri­ence the same things as other peo­ple and thereby also expe­ri­ence the ben­e­fits of sharing.

The rea­son is that when peo­ple tend to like what other peo­ple like, dif­fer­ences in pop­u­lar­ity are sub­ject to what is called “cumu­la­tive advan­tage,” or the “rich get richer” effect. This means that if one object hap­pens to be slightly more pop­u­lar than another at just the right point, it will tend to become more pop­u­lar still. As a result, even tiny, ran­dom fluc­tu­a­tions can blow up, gen­er­at­ing poten­tially enor­mous long-run dif­fer­ences among even indis­tin­guish­able com­peti­tors — a phe­nom­e­non that is sim­i­lar in some ways to the famous “but­ter­fly effect” from chaos the­ory. Thus, if his­tory were to be some­how rerun many times, seem­ingly iden­ti­cal uni­verses with the same set of com­peti­tors and the same over­all mar­ket tastes would quickly gen­er­ate dif­fer­ent win­ners: Madonna would have been pop­u­lar in this world, but in some other ver­sion of his­tory, she would be a nobody, and some­one we have never heard of would be in her place.

Because it’s not pos­si­ble in the real world to test the­o­ries about events that never hap­pened, most of what we know about cumu­la­tive advan­tage has been worked out using math­e­mat­i­cal mod­els and com­puter sim­u­la­tions — an approach that is often crit­i­cized for gloss­ing over the rich­ness of real human behav­ior. For­tu­nately, the explo­sive growth of the Inter­net has made it pos­si­ble to study human activ­ity in a con­trolled man­ner for thou­sands or even mil­lions of peo­ple at the same time. Recently, my col­lab­o­ra­tors, Matthew Sal­ganik and Peter Dodds, and I con­ducted just such a Web-based exper­i­ment. In our study, pub­lished last year in Sci­ence, more than 14,000 par­tic­i­pants reg­is­tered at our Web site, Music Lab (www.musiclab.columbia.edu), and were asked to lis­ten to, rate and, if they chose, down­load songs by bands they had never heard of. Some of the par­tic­i­pants saw only the names of the songs and bands, while oth­ers also saw how many times the songs had been down­loaded by pre­vi­ous par­tic­i­pants. This sec­ond group — in what we called the “social influ­ence” con­di­tion — was fur­ther split into eight par­al­lel “worlds” such that par­tic­i­pants could see the prior down­loads of peo­ple only in their own world. We didn’t manip­u­late any of these rank­ings — all the artists in all the worlds started out iden­ti­cally, with zero down­loads — but because the dif­fer­ent worlds were kept sep­a­rate, they sub­se­quently evolved inde­pen­dently of one another…

The rest of the arti­cle, includ­ing its results and sub­se­quent con­clu­sions, can be found at: Justin Tim­ber­lake — Cul­ture — Hol­ly­wood — Idea Lab — New York Times.

$50 Per Year Could Solve The Music Downloading Epidemic

Peter Jenner

At a SXSW panel called “Rein­vent­ing Pay­ment Mod­els for Dig­i­tal Music,” Cambridge-educated economist-turned-music-manager (Pink Floyd, The Clash, Ian Dury And The Block­heads, Billy Bragg) Peter Jen­ner put a fig­ure on how much each music fan who buys music would have to pay for access to every song ever recorded while main­tain­ing or increas­ing music sales.

He said that $50 per year from every per­son who lis­tens to music would “meet or exceed the cur­rent over the counter sales of the music indus­try at a far lower cost,” but that because of deeply-entrenched flaws in the out­moded busi­ness mod­els used by the labels that have evolved over the years, we’re unlikely ever to see such a sys­tem put in place — despite the fact that it would increase prof­its while allow­ing peo­ple far greater access to music.

WIRED Blogs: Lis­ten­ing Post — Jen­ner: $50 Per Year from Every Music Fan Would Save/Reinvent Music Industry

Computers in the Movies

Control Room by Chris Hoare
Con­trol Room by Chris Hoare

Here are some amaz­ing things com­put­ers can do in the movies:

  1. Word proces­sors never dis­play a cursor.
  2. You never have to use the space-bar when typ­ing long sentences.
  3. Movie char­ac­ters never make typ­ing mistakes.
  4. All mon­i­tors dis­play inch-high letters.
  5. High-tech com­put­ers, such as those used by NASA, the CIA or some such gov­ern­men­tal insti­tu­tion, will have easy to under­stand graph­i­cal interfaces.
  6. Those that don’t have graph­i­cal inter­faces will have incred­i­bly pow­er­ful text-based com­mand shells that can cor­rectly under­stand and exe­cute com­mands typed in plain English.
  7. Note: Com­mand line inter­faces will give you access to any infor­ma­tion you want by sim­ply typ­ing, “ACCESS THE SECRET FILES” on any near-by keyboard.
  8. You can also infect a com­puter with a destruc­tive virus by sim­ply typ­ing “UPLOAD VIRUS”. (See “Fortress”.)
  9. All com­put­ers are con­nected. You can access the infor­ma­tion on the villain’s desk­top com­puter even if it’s turned off.
  10. Pow­er­ful com­put­ers beep when­ever you press a key or the screen changes. Some com­put­ers also slow down the out­put on the screen so that it doesn’t go faster than you can read. (Really advanced com­put­ers will also emu­late the sound of a dot-matrix printer.)
  11. All com­puter pan­els oper­ate on thou­sands of volts and have explo­sive devices under­neath their sur­face. Mal­func­tions are indi­cated by a bright flash of light, a puff of smoke, a shower of sparks and an explo­sion that causes you to jump backwards.
  12. Peo­ple typ­ing on a com­puter can safely turn it off with­out sav­ing the data.
  13. A hacker is always able to break into the most sen­si­tive com­puter in the world by guess­ing the secret pass­word in two tries.
  14. You may bypass “PERMISSION DENIED” mes­sage by using the “OVERRIDE” func­tion. (See “Demo­li­tion Man”.)
  15. Com­put­ers only take 2 sec­onds to boot up instead of the aver­age min­utes for desk­top PCs and 30 min­utes or more for larger sys­tems that can run 24 hours, 365 days a year with­out a reset.
  16. Com­plex cal­cu­la­tions and load­ing of huge amounts of data will be accom­plished in under three sec­onds. Movie modems usu­ally appear to trans­mit data at the speed of two giga­bytes per second.
  17. When the power plant/missile site/main com­puter over­heats, all con­trol pan­els will explode shortly before the entire build­ing will.
  18. If you dis­play a file on the screen and some­one deletes the file, it also dis­ap­pears from the screen (See “Clear and Present Danger”).
  19. If a disk con­tains encrypted files, you are auto­mat­i­cally asked for a pass­word when you insert it.
  20. Com­put­ers can inter­face with any other com­puter regard­less of the man­u­fac­turer or galaxy where it orig­i­nated. (See “Inde­pen­dence Day”.)
  21. Com­puter disks will work on any com­puter has a floppy drive and all soft­ware is usable on any platforms.
  22. The more high-tech the equip­ment, the more but­tons it will have (See “Aliens”.)
  23. Note: You must be highly trained to oper­ate high-tech com­put­ers because the but­tons have no labels except for the “SELF-DESTRUCT” button.
  24. Most com­put­ers, no mat­ter how small, have reality-defying three-dimensional active ani­ma­tion, photo-realistic graph­ics capabilities.
  25. Lap­tops always have amaz­ing real-time video phone capa­bil­i­ties and per­for­mance sim­i­lar to a CRAY Supercomputer.
  26. When­ever a char­ac­ter looks at a mon­i­tor, the image is so bright that it projects itself onto their face. (See “Alien” or “2001″)
  27. Searches on the inter­net will always return what you are look­ing for no mat­ter how vague your key­words are. (See “Mis­sion Impos­si­ble”, Tom Cruise searches with key­words like “file” and “com­puter” and 3 results are returned.)

Pro­gram­ming Blog — Prob­lems & Solu­tions, Tips & Tricks » Things Com­put­ers Can Do in Movies