Updated 105 Days ago
Hope you are enjoying the beginning of your week St. Louis. Ever since I pushed through the "Gorgeous Weather 2008" bill, August has been mild and sunny.
Okay, I didn't really pass a bill to make the weather nice. But even if I did, someone would probably be mad about it.
Like the jokers who are trying to put together a recall petition to get me pulled from office. What's that? Are you unhappy about something? I'm sorry, I'm having trouble hearing you over the dull roar of HOW AWESOME I AM!! Tell you what, I'll just step aside and acquiesce to the other person running for Mayor next spring. What? NO ONE is running against me? Do you know why?
Because I am a By-God Force of Nature! I got 19,500 votes in the last election, that's like 18% of the population of St. Louis. That's not just a victory, that's a mandate from the people for me to stay in City Hall and kick tail!
To borrow from noted scholar Col. Nathan Jessup: You don't want the truth because deep down in places you don't talk about at parties you want me in that Hall, you need me in that Hall. I have neither the time nor the inclination to explain myself to a man who rises and sleeps under the blanket of the very freedom I provide and then questions the manner in which I provide it. I would rather you just said "thank you," and went on your way. Otherwise, I suggest that you pick up a pen and run for office. Either way, I don't give a damn what you think you are entitled to!
But seriously, be proud that you almost got one-third of the signatures you need to even get the recall process started. Don't think that makes you one-third of a man. Think of it as "the glass is half full." Except, it is actually two-thirds empty. Nice job!
May the road rise up to meet him, the wind always be at his back, and the opposition on the ballot remain nonexistent.
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.