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Updated 102 Days ago
Nine Inch Nails Does The Lou
For the first time in over three years, Nine Inch Nails is touring the U.S., and tonight, they're stopping by St. Louis. By the time you read this, it might be too late to buy tickets, but if you're a hardcore fan, that shouldn't stop you. Head over to the Scottrade Center early to haggle with ticket scalpers.
What: A chance to rock out with one of the greatest hard-core bands of all time.
Where: Scottrade Center
When: Concert starts at 8pm on Wednesday, August 20.
Click here to buy last-minute tickets.
For those of you who are a bit out of the loop, returning member Robin Finck and new addition Rich Fownes will join Trent Reznor, Alessandro Cortini and Josh Freese onstage.
To get you in the mood, here are a few lines from "Discipline," which is off of their intense album, The Slip, which was released (FOR FREE!) earlier in 2008:
Am I
Am I still tough enough?
Feels like i’m wearing down, down, down, down, down
Is my visciousness
Losing ground, ground, ground, ground ground?
Am I taking too much
Did I cross a line, line, line?
I need my role in this
Very clearly defined.
Long story short, you might not get a chance to see these guys in concert again for a long time, and they're known for their great live performances. If you're in the mood for wailing guitars and distorted rythms, this could be your best shot at channeling your inner rock star for a while.
About The Author:
I just moved back to The Lou from CoMo and I'd love to hear from you. Shoot me an idea/comment/bored rambling at audrey@toastedrav.com.I am also an expert at the Chicken Dance, and I am willing to give lessons for a small fee.
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Vocally, Reznor didn't miss a beat and the range of instruments that the band used was incredible.
The second to last song was "Hurt", a personal favorite- it was amazing to hear the crowd sing every word so passionately along with Reznor.
A great experience!!
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.