skip to content »

Sex chats bots

Sex chats bots-28

It uses less advanced technology provided by, an artificial intelligence platform Facebook acquired early last year.The hope may be, however, that this technology can help generate that kind of conversational data needed to train deep neural networks and push the state-of-the-art much further.

Go Butler uses deep neural nets, but only to tackle a relatively small problem.Seattle Against Slavery is working with counterparts in 21 other U. cities including Boston and Houston to deploy the bot more widely.“If law enforcement perform stings in a city they might get a few dozen people, but we know there have to be thousands and thousands of guys out there looking to buy sex,” says Robert Beiser, executive director of Seattle Against Slavery.“Wasting their time and delivering a deterrence message could change their perspective on what they’re doing.”Dominique Roe-Sepowitz, director of Arizona State University’s Office of Sex Trafficking Intervention Research, says they could help expand the reach of anti-trafficking efforts.Deep neural networks learn by analyzing enormous amounts of digital data.They can learn to recognize a cat by analyzing millions of cat photos.For now, talking to a bot is like talking to, well, a machine. "I think we’re going through a temporary hype era of 'bot BS' right now," says Navid Hadzaad. In recent years, deep neural networks have helped automate so many online tasks. They can recognize commands spoken into smartphones. And they've made significant progress in the area of natural language understanding, where machines work to understand the natural way we humans talk. In other words, we're nowhere near the point where we can carry on a completely real conversation with a bot.

That makes conversational commerce feel like a false promise. This is what powers Google's Smart Reply service. That's pretty much the message delivered by David Marcus, who oversees Facebook Messenger and its bot engine, a way for coders to build bots that can, in theory, do all the stuff that's now handled by smartphone apps.

The bot was created by the same Microsoft team as those who created Photo DNA, which automatically detects and reports images of child exploitation, and which is now used by more than 70 companies and organizations, including Facebook and Twitter, and is designed to help NGOs scale their existing efforts beyond what actual human staff can accomplish.

So far, the chatbot has exchanged 14,000 messages with nearly 1,000 people who responded to the planted ads.

It works because it doesn't try to do too much."Bots are the new apps," Microsoft CEO Satya Nadella announced at the end of March, during the company's big coder conference in San Francisco, and he was just saying what so many others are saying across the tech universe.

Microsoft, Facebook, a host of startups, and an even larger gaggle of tech pundits are trumpeting the arrival of autonomous bots that can carry on conversations inside services like Slack and Skype and Facebook Messenger.

They can learn to understand the contents of an email by analyzing millions of email messages. But the data needed to drive "conversational commerce" is much harder to come by than cat photos.