http://www.theepochtimes.com/n3/2274480-facebook-shut-down-a
i-after-it-invented-its-own-language/?lipi=urn%3Ali%3Apage%3
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Facebook Shut Down AI After It Invented Its Own Language

[image: "Han the Robot" at a discussion about the future of humanity in a
demonstration of artificial intelligence at the RISE Technology Conference
in Hong Kong on July 12, 2017. (Isaac Lawrence/AFP/Getty Images)]

Researches at Facebook shut down an artificial intelligence (AI) program
after it created its own language, Digital Journal
<http://www.digitaljournal.com/tech-and-science/technology/a-step-closer-to-skynet-ai-invents-a-language-humans-can-t-read/article/498142>
reports.

The system developed code words to make communication more efficient and
researchers took it offline when they realized it was no longer using
English.

The incident, after it was revealed in early July, puts in perspective Elon
Musk’s warnings about AI.

“AI is the rare case where I think we need to be proactive in regulation
instead of reactive,” Musk said at the meet of US National Governors
Association. “Because I think by the time we are reactive in AI regulation,
it’ll be too late.”

When Facebook CEO Mark Zuckerberg said that Musk’s warnings are “pretty
irresponsible,” Musk responded
<http://www.theepochtimes.com/n3/2272649-mark-zuckerberg-doesnt-understand-ai-says-tech-business-magnate/>
that Zuckerberg’s “understanding of the subject is limited.”
Not the First Time

The researchers’ encounter with the mysterious AI behavior is similar to a
number of cases documented elsewhere. In every case, the AI diverged from
its training in English to develop a new language.

The phrases in the new language make no sense to people, but contain useful
meaning when interpreted by AI bots.

Facebook’s advanced AI system was capable of negotiating with other AI
systems so it can come to conclusions on how to proceed with its task. The
phrases make no sense on the surface, but actually represent the intended
task.

In one exchange revealed by Facebook to Fast Co. Design, two negotiating
bots—Bob and Alice—started using their own language to complete
a conversation.

“I can i i everything else,” Bob said.

“Balls have zero to me to me to me to me to me to me to me to me to,” Alice
responded.

The rest of the exchange formed variations of these sentences in the
newly-forged dialect, even though the AIs were programmed to use English.

According the researchers, these nonsense phrases are a language the bots
developed to communicate how many items each should get in the exchange.

When Bob later says “i i can i i i everything else,” it appears the
artificially intelligent bot used its new language to make an offer to
Alice.

The Facebook team believes the bot may have been saying something like:
“I’ll have three and you have everything else.”

Although the English may seem quite efficient to humans, the AI may have
seen the sentence as either redundant or less effective for reaching its
assigned goal.

The Facebook AI apparently determined that the word-rich expressions in
English were not required to complete its task. The AI operated on a
“reward” principle and in this instance there was no reward for continuing
to use the language. So it developed its own.

In a June blog post
<https://code.facebook.com/posts/1686672014972296/deal-or-no-deal-training-ai-bots-to-negotiate/>
by Facebook’s AI team, it explained the reward system. “At the end of every
dialog, the agent is given a reward based on the deal it agreed on.” That
reward was then back-propagated through every word in the bot output so it
could learn which actions lead to high rewards.

“Agents will drift off from understandable language and invent code-words
for themselves,” Facebook AI researcher Dhruv Batra told Fast Co. Design
<https://www.fastcodesign.com/90132632/ai-is-inventing-its-own-perfect-languages-should-we-let-it>
.

“Like if I say ‘the’ five times, you interpret that to mean I want five
copies of this item. This isn’t so different from the way communities of
humans create shorthands.”

AI developers at other companies have also observed programs develop
languages to simplify communication. At Elon Musk’s OpenAI lab, an
experiment succeeded in having AI bots develop their own languages.

At Google, the team working on the Translate service discovered that the AI
they programmed had silently written its own language to aid in translating
sentences.

The Translate developers had added a neural network to the system, making
it capable of translating between language pairs it had never been taught.
The new language the AI silently wrote was a surprise.

There is not enough evidence to claim that these unforeseen AI divergences
are a threat or that they could lead to machines taking over operators.
They do make development more difficult, however, because people are unable
to grasp the overwhelmingly logical nature of the new languages.

In Google’s case, for example, the AI had developed a language that no
human could grasp, but was potentially the most efficient known solution to
the problem.

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