Professor Behind Two Chatbots Chatting Discusses What Happened

from the mimicing-is-how-we-learn dept

By now, I assume you’ve already seen the two chatbots talking to each other, but on the off-chance you haven’t (or in case you just want to see it again), here it is:


The video went crazy viral quickly, and the folks at The Alyona Show moved quickly and got the professor behind the project, Hod Lipson, on the show to talk about the experiment:


It’s an interesting conversation, but the one point that really caught my attention was over the question of whether or not the bots “understood” what they were saying. The obvious answer is “of course not, they’re just bots,” but Lipson made an interesting point: at times it’s not clear that actual people know what they’re saying. Many people just repeat stuff they’ve heard elsewhere — which is how Cleverbot is programmed to work. He also notes that this is effectively how children learn to speak and to think, by repeating what others say. Of course, there’s still a huge difference, and there’s nothing in Cleverbot that will ever take all these pieces and take it to the next level of conscious thought, but it’s still a neat concept.

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Comments on “Professor Behind Two Chatbots Chatting Discusses What Happened”

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17 Comments
Zauber Paracelsussays:

I’m somewhat reminded of another experiment that pits two chatbots against one another. ELIZA, a bot meant for use in psychotherapy, and Racter, an “artificially insane” storyteller.

Here’s a copy of the conversation:

eliza: Hello. Please state your problem.

racter: Excellent! Excuse me a minute while I attend to some business. I will be right back.

eliza: Why do you need to tell me excuse while you attend to some business?

racter: Is it better to need or to despise? Why is it that I do need to tell you to excuse myself to attend to some business? Because electrons are brave. Braveness is nice, don’t you think? And the needers all insist upon it. Do you imagine I am a Communist?

Source: http://www.stanford.edu/group/SHR/4-2/text/dialogues.html

Chinese room

It’s an interesting conversation, but the one point that really caught my attention was over the question of whether or not the bots “understood” what they were saying. The obvious answer is “of course not, they’re just bots,” but Lipson made an interesting point: at times it’s not clear that actual people know what they’re saying.

This is basically Searle’s Chinese room, isn’t it?

That's a Reacreation of Most People in Software Form

Many people just repeat stuff they’ve heard elsewhere — which is how Cleverbot is programmed to work. He also notes that this is effectively how children learn to speak and to think, by repeating what others say. Of course, there’s still a huge difference, and there’s nothing in Cleverbot that will ever take all these pieces and take it to the next level of conscious thought, but it’s still a neat concept.

==========================

I’d say these bots are now at the same or higher level of “consciousness” than 85% of the human race…at least those I talk to for socially-mandatory reasons.

Anonymoussays:

We need to shut them down now before they become sentient and in a completely illogical manner manage to take control of all of the defense systems in the world and try killing off humanity. Then we will have to protect a really hot chick from a murderous robot that when it gets stopped instead of trying to kill her grandfather or other ancestor decides to try 3 more times.

how to talk to each other two chatbots.

the easiest way to do two chatbots speak to each other is to copy a literal phrases and write them into the other.
it is obvious that the video was mounted using individual pieces of processing.
what the video reveals is that the answers are too fast and there is no pause between them.
then this video is simply a way to better present the topic discussed.
I am the programmer of cl0ne (zero inside clone) dot com.
if you want to test my chatbot with other goto http://www.cl0ne.com
copy and past the response from my chatbot to another.

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