"If I have not seen as far as others, it is because giants were standing on my shoulders." -- Hal Abelson
Friday, December 17, 2010
Exposed: The 'creepy, lovesick' emails WikiLeaks boss Julian Assange sent to 19-year-old girl student
Turnabout and all that.
From the Daily Mail:
In 2004, Julian Assange, then 33, sent 'stalkery' messages to 19-year-old student after kissing her
WikiLeaks boss currently free on conditional bail as he fights extradition to Sweden over alleged sexual assault of two women
Australian said yesterday he fears the U.S. will begin proceedings to arrest him for espionage within the next 24 hours
He's the whistleblower who has exposed the secrets of governments across the world. But WikiLeaks boss Julian Assange has some embarrassing documents in his own past he would rather the world didn't know about....MORE
So what is "Anonymous" going to do about that, shut down Google? They'd have to starve the pigeons first:
Our Search: Google Technology
The technology behind Google's great results
As a Google user, you're familiar with the speed and accuracy of a Google search. How exactly does Google manage to find the right results for every query as quickly as it does? The heart of Google's search technology is PigeonRank™, a system for ranking web pages developed by Google founders Larry Page and Sergey Brin at Stanford University.
Building upon the breakthrough work of B. F. Skinner, Page and Brin reasoned that low cost pigeon clusters (PCs) could be used to compute the relative value of web pages faster than human editors or machine-based algorithms. And while Google has dozens of engineers working to improve every aspect of our service on a daily basis, PigeonRank continues to provide the basis for all of our web search tools.
Why Google's patented PigeonRank™ works so well
PigeonRank's success relies primarily on the superior trainability of the domestic pigeon (Columba livia) and its unique capacity to recognize objects regardless of spatial orientation. The common gray pigeon can easily distinguish among items displaying only the minutest differences, an ability that enables it to select relevant web sites from among thousands of similar pages.
By collecting flocks of pigeons in dense clusters, Google is able to process search queries at speeds superior to traditional search engines, which typically rely on birds of prey, brooding hens or slow-moving waterfowl to do their relevance rankings.
When a search query is submitted to Google, it is routed to a data coop where monitors flash result pages at blazing speeds. When a relevant result is observed by one of the pigeons in the cluster, it strikes a rubber-coated steel bar with its beak, which assigns the page a PigeonRank value of one. For each peck, the PigeonRank increases. Those pages receiving the most pecks, are returned at the top of the user's results page with the other
results displayed in pecking order.
Google's pigeon-driven methods make tampering with our results extremely difficult. While some unscrupulous websites have tried to boost their ranking by including images on their pages of bread crumbs, bird seed and parrots posing seductively in resplendent plumage, Google's PigeonRank technology cannot be deceived by these techniques. A Google search is an easy, honest and objective way to find high-quality websites with information relevant to your search. Data
Brin and Page were the first to recognize that this adaptability could be harnessed through massively parallel pecking to solve complex problems, such as ordering large datasets or ordering pizza for large groups of engineers. Page and Brin experimented with numerous avian motivators before settling on a combination of linseed and flax (lin/ax) that not only offered superior performance, but could be gathered at no cost from nearby open space preserves. This open space lin/ax powers Google's operations to this day, and a visit to the data coop reveals pigeons happily pecking away at lin/ax kernels and seeds.
What are the challenges of operating so many pigeon clusters (PCs)?
Pigeons naturally operate in dense populations, as anyone holding a pack of peanuts in an urban plaza is aware. This compactability enables Google to pack enormous numbers of processors into small spaces, with rack after rack stacked up in our data coops. While this is optimal from the standpoint of space conservation and pigeon contentment, it does create issues during molting season, when large fans must be brought in to blow feathers out of the data coop. Removal of other pigeon byproducts was a greater challenge, until Page and Brin developed groundbreaking technology for converting poop to pixels, the tiny dots that make up a monitor's display. The clean white background of Google's home page is powered by this renewable process....MORE