from celebitchy:

The Madonna and Guy Ritchie divorce saga just got a hell of a lot more interesting. Madonna is said to have been visited late at night at her NY apartment by NY Yankees third baseman Alex Rodriguez, 32, also known as A-Rod. US Weekly is set to detail their covert relationship in their upcoming issue. They have plenty of circumstantial evidence that seems to suggest that 49 year-old Madonna is getting some on the side, and that it may have contributed to the demise of her marriage. What’s more is that A-Rod is married himself with two daughters, aged five and three and a half, and this is not the first allegation that he’s cheated on his wife.
Us Weekly reports in its new issue, on newsstands tomorrow, that Madonna’s seven-year marriage to Guy Ritchie has stalled out – and the singer has been hosting late-night visits from New York Yankee Alex Rodriguez at her Central Park West apartment in New York City.
A ringless and grim-faced Ritchie, 39, arrived in New York City from London yesterday after several weeks apart from his family. A source tells Us that the $28-million-a-year Rodriguez, 32, has made numerous solo nighttime visits to Madonna, 49, at her spacious home and would sneak out “as late as midnight.” Says the source, “All the doormen are talking.”
Rodriguez attended Madonna’s April 30 NYC concert; the singer sat in his seats at a Yankees game on June 22 (it was the first time she ever was photographed at a Yankees game). Her son Rocco, 7, also sported Yankees gear on June 25 while playing in Central Park.
Rodriguez, married with two young daughters, has already faced speculation about cheating: In 2007, he and a stripper were reportedly spied in Toronto, Miami and Dallas.
[From US Weekly]
Guy Ritchie is now in NY and it’s not known if he’s met with Madonna or what their plans are. Neither of them is wearing their wedding band, but Madonna’s rep says she rarely wears hers anyway.
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.