In this episode of Beneficial Intelligence, I discuss other people's failures. They can affect you, as the recent Amazon Web Services outage showed. Cat owners who had trusted the feeding of their felines to internet-connected devices came home to find their homes shredded by hungry cats. People who had automated their lighting sat in darkness, yelling in vain at their Alexa devices for more light. More serious problems also occurred as students couldn't submit assignments, Ticketmaster...
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In this episode of Beneficial Intelligence, I discuss other people's failures. They can affect you, as the recent Amazon Web Services outage showed. Cat owners who had trusted the feeding of their felines to internet-connected devices came home to find their homes shredded by hungry cats. People who had automated their lighting sat in darkness, yelling in vain at their Alexa devices for more light. More serious problems also occurred as students couldn't submit assignments, Ticketmaster...
In this episode of Beneficial Intelligence, I discuss biased data. Machine Learning depends on large data sets, and unless you take care, ML algorithms will perpetuate any bias in the data it learns from. The famous ImageNet database contains 14 million labeled images. However, 6% of these have the wrong label. The labels are provided by humans paid very little per image, so they will work very fast. Unfortunately, as Nobel Prize winner Daniel Kahneman has shown, when humans work fast,...
Beneficial Intelligence
In this episode of Beneficial Intelligence, I discuss other people's failures. They can affect you, as the recent Amazon Web Services outage showed. Cat owners who had trusted the feeding of their felines to internet-connected devices came home to find their homes shredded by hungry cats. People who had automated their lighting sat in darkness, yelling in vain at their Alexa devices for more light. More serious problems also occurred as students couldn't submit assignments, Ticketmaster...
