Google’s Machine Learning Algorithms Outpacing Engineers’ Ability to Understand How they Work
“Google no longer understands how its “deep learning” decision-making computer systems have made themselves so good at recognizing things in photos.
What stunned [Google Software Engineer] Quoc V. Le is that the software has learned to pick out features in things like paper shredders that people can’t easily spot – you’ve seen one shredder, you’ve seen them all, practically. But not so for Google’s monster.
Many of Quoc’s pals had trouble identifying paper shredders when he showed them pictures of the machines, he said. The computer system has a greater success rate, and he isn’t quite sure how he could write a program to do this.
Google researchers can no longer explain exactly how the system has learned to spot certain objects, because the programming appears to think independently from its creators, and its complex cognitive processes are inscrutable. "
All those gigantic server farms… they’ve accidentally exceeded the critical synapse number, haven’t they.
Life is stirring in the depths…
Life will find a way
Denver, Colorado—one of the cities in the country to legalize marijuana use—has passed a new “odor ordinance” with a potential $2,000 fine for anyone found guilty of polluting the atmosphere with high concentrations of cannabis. And the police department’s plan for enforcement is a strange-looking device called an olfactometer, or more collquially, the “nose telescope.”
|—||Greg Sestero, The Disaster Artist: My Life Inside The Room (via thespacegoat)|
A picture of comedian Chris Farley after his death due to heroin overdose.