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The tech company introduced "Tay" this week — a bot that responds to users' queries and emulates the casual, jokey speech patterns of a stereotypical millennial.The aim was to "experiment with and conduct research on conversational understanding," with Tay able to learn from "her" conversations and get progressively "smarter." But Tay proved a smash hit with racists, trolls, and online troublemakers — who persuaded Tay to blithely use racial slurs, defend white-supremacist propaganda, and even outright call for genocide.Meet sexy girls, chat with cute guys and find the time of your life right in front of your computer screen.You can also find loads of guys in our sex chat rooms, which makes it a breeze for you to find webcam girls and boys every time you use our sex site.(Note: In some — but not all — instances, people managed to have Tay say offensive comments by asking them to repeat them.This appears to be what happened here.) The AI chatbot Tay is a machine learning project, designed for human engagement.

Flask-Ask (https://flask-ask.readthedocs.io/en/latest/)2. DEBUG)@ask.launchdef new_conference(): welcome_msg = render_template('welcome') return question(welcome_msg)@ask.intent("Speaker Intent")def ask_if_speaker(speaker_name): speaker_name = speaker_name cursor = mysql.connect().cursor() cursor.execute( "SELECT * from JOIN conference.speaker " "ON speaker = conference.speaker.speakerid " "JOIN " "ON slot = slotid " "WHERE conference.LIKE '%" speaker_name "%';") data = cursor.fetchall() if data is None: message = "There was no speaker by that name." else: hours_start, remainder = divmod(data[13].seconds, 3600) minutes_start, seconds_start = divmod(remainder, 60) time_start = str(hours_start) ":" str(minutes_start) hours_end, remainder = divmod(data[14].seconds, 3600) minutes_end, seconds_start = divmod(remainder, 60) time_end = str(hours_end) ":" str(minutes_end) message = "Session that you are looking for is " data[ 2] " which starts at " time_start " and ends at " time_end ", given by " data[9] return statement(message)if __name__ == '__main__': app.run(debug=True, port=8080)This starts a server on localhost:8080.It spouted garbage because racist humans on Twitter quickly spotted a vulnerability — that Tay didn't understand what it was talking about — and exploited it.Nonetheless, it is hugely embarrassing for the company.For registering this skill in the Amazon’s Developer Portal the skill must run behind a HTTPS server or must be hosted on AWS lambda function for which you will require to have a Amazon Web Services Account.There can be a work around for this, by generating a public HTTPS endpoint for localhost:8080 using the ngok client from https://ngrok.com/download and run,on Unix/Mac: Once logged into the Amazon’s Developer Portal click on Alexa and start creating a new skill.

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