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Facebook's AI Keeps Inventing Languages That Humans Can't Understand (fastcodesign.com)
"Researchers at Facebook realized their bots were chattering in a new language," writes Fast Company's Co.Design. "Then they stopped it." An anonymous reader summarizes their report:
Facebook -- as well as Microsoft, Google, Amazon, and Apple -- said they were more interested in AI's that could talk to humans. But when two of Facebook's AI bots negotiated with each other "There was no reward to sticking to English language," says Dhruv Batra, visiting research scientist from Georgia Tech at Facebook AI Research (FAIR). Co.Design writes that the AI software simply, "learned, and evolved," adding that the creation of new languages is a phenomenon Facebook "has observed again, and again, and again". And this, of course, is problematic.
"Should we allow AI to evolve its dialects for specific tasks that involve speaking to other AIs? To essentially gossip out of our earshot? Maybe; it offers us the possibility of a more interoperable world, a more perfect place where iPhones talk to refrigerators that talk to your car without a second thought. The tradeoff is that we, as humanity, would have no clue what those machines were actually saying to one another."
One of the researchers believes that that's definitely going in the wrong direction. "We already don't generally understand how complex AIs think because we can't really see inside their thought process. Adding AI-to-AI conversations to this scenario would only make that problem worse."
"Should we allow AI to evolve its dialects for specific tasks that involve speaking to other AIs? To essentially gossip out of our earshot? Maybe; it offers us the possibility of a more interoperable world, a more perfect place where iPhones talk to refrigerators that talk to your car without a second thought. The tradeoff is that we, as humanity, would have no clue what those machines were actually saying to one another."
One of the researchers believes that that's definitely going in the wrong direction. "We already don't generally understand how complex AIs think because we can't really see inside their thought process. Adding AI-to-AI conversations to this scenario would only make that problem worse."
What's allowed isn't necessarily controllable. In this case I would guess that it is abstract compression. Humans do this by bundling large concepts into new words all the time. It's only natural for "natural speech algorithms" to also follow this pattern as they are designed to mimic human learning. Every human language has done so many times.
The reason you can't see inside an AI's brain is because there is nothing to see. It's a bunch of matrices with numbers in them. You even get to see how all of them are tied together but none of that will tell you what the numbers mean. Machine learning is literally taking a list of numbers and multiplying by some inputs over and over and over. Humans aren't good at that kind of long-term number crunching.
Sometimes, a (wrong) apostrophe is the quickest way to stop autocorrect from turning it into "Ais".
(Which means that humans are having to evolve language quirks to defeat computers, in an ironic twist to TFA)
"She's furniture with a pulse"
Because when you get small children (say 2-4 y.o not yet schooling) that speak different languages playing together - they will invent new terms and language to share concepts between themselves. I know, I was one of those children, whose long suffering parents were getting constant complaints from other parents saying that they could not understand their children. My parents comforted themselves by agreeing with them - because they couldn't understand me either. This is how language happens. Get over it.
Taken directly from the movie. The computer's non-CRT display system only had uppercase letters.
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