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Updated 73 Days ago
The Toast - 9.19.08 - Paris Ruins A Life, Dane Cook Pukes, And Britney's Mom Pimps A Book
ToastedRav Video
Ready for another Toast episode? Here's what's up in the entertainment world this week:
Tube Talk
Paris Hilton told Reuters she's made an addition to her life...a new best friend that it's probably safe to assume will soon kill him or herself.
The cast of Nip/Tuck wants more money...pardon me if I don't shed a tear since they're currently pulling in more than $100k per episode. The Hollywood Reporter has that.
Reel World
Samuel Jackson scares the crap out of his neighbors in a new film. You'd be scared too, it's freaking Samuel Jackson! Here's Qbert's review.
Dane Cook sucks and now he's bringing his suckiness to the big screen in a movie named after a Cars song.
Star Gazing
Lynne Spears is completely out of touch with reality, but we were fine with that until she spewed her insanity to the world on the Today Show. We have the clip.
Heff is one girlfriend shorter at the ole Playboy Mansion...somehow I think he'll survive. Thanks to WWTDD for that one.
That and so very much more is ahead. Just click the ToastedRav Video tab to watch.
About The Author:
Chris Files is a video producer and writer for ToastedRav.com as well as a world-champion moose caller*Story idea? Drop a line to chris@toastedrav.com
*1998 Winter Olympic Games - Nagano, Japan
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"I understand that Scissors can beat Paper, and I get how Rock can beat Scissors, but there’s no [beeping] way Paper can beat Rock. Paper is supposed to magically “wrap around” Rock, leaving it immobile? Why the hell cant paper do this to scissors? Screw scissors, why can’t paper do this to people? Why aren’t sheets of college ruled notebook paper constantly suffocating students as they attempt to take notes in class? I’ll tell you why, because paper can’t beat anybody. Rock would tear that [beep] up in about 2 seconds.
When I play rock/paper/scissors I always choose rock. Then when somebody claims to have beaten me with their paper I can punch them in the face with my already clenched fist and say Oh [beep] I’m sorry I thought paper would protect you, [beeeeep].
What is reCAPTCHA?
reCAPTCHA is a free CAPTCHA service that helps to digitize books.A CAPTCHA is a program that can tell whether its user is a human or a computer. You've probably seen them Ñ colorful images with distorted text at the bottom of Web registration forms. CAPTCHAs are used by many websites to prevent abuse from "bots," or automated programs usually written to generate spam. No computer program can read distorted text as well as humans can, so bots cannot navigate sites protected by CAPTCHAs.
About 60 million CAPTCHAs are solved by humans around the world every day. In each case, roughly ten seconds of human time are being spent. Individually, that's not a lot of time, but in aggregate these little puzzles consume more than 150,000 hours of work each day. What if we could make positive use of this human effort? reCAPTCHA does exactly that by channeling the effort spent solving CAPTCHAs online into "reading" books.
To archive human knowledge and to make information more accessible to the world, multiple projects are currently digitizing physical books that were written before the computer age. The book pages are being photographically scanned, and then transformed into text using "Optical Character Recognition" (OCR). The transformation into text is useful because scanning a book produces images, which are difficult to store on small devices, expensive to download, and cannot be searched. The problem is that OCR is not perfect.
reCAPTCHA improves the process of digitizing books by sending words that cannot be read by computers to the Web in the form of CAPTCHAs for humans to decipher. More specifically, each word that cannot be read correctly by OCR is placed on an image and used as a CAPTCHA. This is possible because most OCR programs alert you when a word cannot be read correctly.
But if a computer can't read such a CAPTCHA, how does the system know the correct answer to the puzzle? Here's how: Each new word that cannot be read correctly by OCR is given to a user in conjunction with another word for which the answer is already known. The user is then asked to read both words. If they solve the one for which the answer is known, the system assumes their answer is correct for the new one. The system then gives the new image to a number of other people to determine, with higher confidence, whether the original answer was correct.
Currently, we are helping to digitize books from the Internet Archive and old editions of the New York Times.