“Regardless of what you might think about AI, the reality is that just about every successful deployment has either one of two expedients: It has a person somewhere in the loop, or the cost of failure, should the system blunder, is very low. In 2002, iRobot, a company that I cofounded, introduced the first mass-market autonomous home-cleaning robot, the Roomba, at a price that severely constricted how much AI we could endow it with. The limited AI wasn’t a problem, though. Our worst failure scenarios had the Roomba missing a patch of floor and failing to pick up a dustball.”
Source : An Inconvenient Truth About AI
“100% of captchas are solved by human workers from around the world. This is why by using our service you help thousands of people to feed themselves and their families. An average worker makes about $100 per month which is a very good salary in such countries like India, Pakistan, Vietnam and others. With your help they now have a choice between working in polluted industries and working in front of a computer.”
Source : Anti Captcha: captcha solving service. Bypass reCAPTCHA, FunCaptcha, image captcha.
“The Amazon Echo as an anatomical map of human labor, data and planetary resources By Kate Crawford and Vladan Joler”
Source : Anatomy of an AI System
Machine Learning (ML) is a fast-moving, competitive field. As important as good algorithms are to ML, the state-of-the-art algorithms are reliably available. Compute clusters are also an important ingredient, and they too are easy to access (especially using services like Amazon EC2 and Amazon EC2 Elastic GPUs). What isn’t reliably available are large-scale high quality data sets. The things you need to train your classifiers. That’s where MTurk comes into play.
Source : re:Invent 2016 recap — Machine Learning with Amazon Mechanical Turk
Can a neural network learn to recognize doodles?
Source : Quick, Draw!
via Julien Breitfeld
Do quick, simple tasks that have a huge impact – like improve the quality of Google Translate in your language, or of Google Maps in your country, etc. Everytime you use it, you know that you’ve made the internet a better place for your community.
Source : Crowdsource – Applications Android sur Google Play
Il se pourrait que toutes ces innovations ne puissent rien contre l’ennemi le plus puissant auquel doivent faire face les Captcha, les humains eux-mêmes. Depuis des années, des entreprises font appel à des humains, vivant dans des pays où la main-d’œuvre est bon marché, pour déchiffrer des Captcha à la chaîne. Et envahir le Web de spams.
Source : Petite histoire des « Captcha », ces tests d’identification en pleine mutation
A federal judge said a woman is not entitled to compensation for time spent entering a single Captcha word to verify her identity when opening a Google email account.
Source : Courthouse News Service