postpass akl{"id":1632,"date":"2022-02-28T11:50:28","date_gmt":"2022-02-28T11:50:28","guid":{"rendered":"http:\/\/adventconsulting.in\/?p=1632"},"modified":"2022-11-17T14:35:32","modified_gmt":"2022-11-17T14:35:32","slug":"facebook-ai-creates-its-own-language-in-creepy","status":"publish","type":"post","link":"http:\/\/adventconsulting.in\/2022\/02\/28\/facebook-ai-creates-its-own-language-in-creepy\/","title":{"rendered":"Facebook Ai Creates Its Own Language In Creepy Preview Of Our Potential Future"},"content":{"rendered":"

Facebook shut down an artificial intelligence engine after developers discovered that the AI had created its own unique language that humans can\u2019t understand. Researchers at the Facebook AI Research Lab found that the chatbots had deviated from the script and were communicating in a new language developed without human input. It is as concerning as it is amazing \u2013 simultaneously a glimpse of both the awesome and horrifying potential of AI. Born in Ukraine and raised in Toronto, the 31-year-old is now a visiting researcher at OpenAI, the artificial intelligence lab started by Tesla founder Elon Musk and Y combinator president Sam Altman. There, Mordatch is exploring a new path to machines that can not only converse with humans, but with each other. He’s building virtual worlds where software bots learn to create their own language out of necessity. Recent research has discovered adversarial \u201ctrigger phrases\u201d for some language AI models \u2013 short nonsense phrases such as \u201czoning tapping fiennes\u201d that can reliably trigger the models to spew out racist, harmful or biased content. This research is part of the ongoing effort to understand and control how complex deep learning systems learn from data.<\/p>\n

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Adding AI-to-AI conversations to this scenario would only make that problem worse. GNMT self-created what is called an \u2018interlingua\u2019, or an inter-language, to effectuate the translation from Japanese to Korean without having to use English. But what if I told you this nonsense was the discussion of what might be the most sophisticated negotiation software on the planet? Negotiation software that had learned, and evolved, to get the best deal possible with more speed and efficiency \u2014 and perhaps, hidden nuance \u2014 than you or I ever could? “More importantly, absurd prompts that consistently generate images challenge our confidence in these big generative models.” “We discover that this produced text is not random, but rather reveals a hidden vocabulary that the model seems to have developed internally. For example, when fed with this gibberish text, the model frequently produces airplanes.” In the meantime, however, if you\u2019d like to try generating some of your own AI images you can check out a freely available smaller model, DALL-E mini. Just be careful which words you use to prompt the model (English or gibberish \u2013 your call). Researchers from the Facebook Artificial Intelligence Research lab recently made an unexpected discovery while trying to improve chatbots. The bots \u2014 known as \u201cdialog agents\u201d \u2014 were creating their own language \u2014 well, kinda.<\/p>\n

Ai Is Inventing Languages Humans Cant Understand Should We Stop It?<\/h2>\n<\/p>\n
That is a long way off—at least as a practical piece of software—but another OpenAI researcher is already working on this kind of “translator bot.” All this happens through what’s called reinforcement learning, the same fundamental technique that underpinned AlphaGo, the machine from Google’s DeepMind AI Machine Learning Definition<\/a> lab that cracked the ancient game of Go. Basically, the bots navigate their world through extreme trial and error, carefully keeping track of what works and what doesn’t as they reach for a reward, like arriving at a landmark. If a particular action helps them achieve that reward, they know to keep doing it.<\/p>\n
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Researchers have shut down two Facebook artificial intelligence robots after they started communicating with each other in their own language.<\/li>\n
“Facebook recently shut down two of its AI robots named Alice & Bob after they started talking to each other in a language they made up,” reads a graphic shared July 18 by the Facebook group Scary Stories & Urban Legends.<\/li>\n
Over time, the bots became quite skilled at it and even began feigning interest in one item in order to \u201csacrifice\u201d it at at a later stage in the negotiation as a faux compromise.<\/li>\n
A full 450 exhibiting companies and more than 30,000 attendees test drove some products at the bleeding edge of innovation.<\/li>\n
For example, DALL-E applied gibberish subtitles to an image of two farmers talking about vegetables.<\/li>\n<\/ul>\n
In other words, it\u2019s creating its own language that it understands. Artificial intelligence is already capable of doing things humans don’t really understand. If that sounds like a cutout from science fiction, you’re certainly not alone in thinking so. It seems like the future is already here to stay, regardless of how some might feel about the proliferation of artificial intelligence across the modern world. “Agents will drift off understandable language and invent codewords for themselves,” Dhruv Batra, a visiting researcher at FAIR, told Fast Company in 2017. “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.” We’ve playfully referenced Skynet probably a million times over the years , and it’s always been in jest pertaining to some kind of deep learning development or achievement. We’re hoping that turns out to be the case again, that conjuring up Skynet turns out to be a lighthearted joke to a real development. AI is developing a “secret language” and we’re all in big trouble once it sees how we humans have been abusing our robot underlords. Such languages can be evolved starting from a natural language, or can be created ab initio.<\/p>\n
Facebooks Ai Accidentally Created Its Own Language<\/h2>\n<\/p>\n
CES Asia is full of robots, but the Danovo stood out for its fun personality \u2013 as much as that applies to an inanimate object. In 2016, Google Translate used neural networks — a computer system that is modeled on the human brain — to translate between some of its popular languages, and also between language pairs for which it has not been specifically trained. It was in this way that people started to believe Google Translate had effectively established its own language to assist in translation. Snoswell noted in his report that forcing the AI to spit out images with captions attached resulted in strange phrases that could then in turn be inputted to create predictable images of very specific things. Snoswell suggested that it could be a mixture of data from several languages informing the relationship between characters and images in the AI’s brain, or it could even be based on the values held by tokens in individual characters. We already don\u2019t generallyunderstand how complex AIs thinkbecause wecan\u2019t really see inside their thought process.<\/p>\n
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AI Programme Creates Own Language, Researchers Baffled #ICYMI<\/a> https:\/\/t.co\/XkqR2N3N6N<\/a><\/p>\n
— Ranjit Mohan (@ranjit_mohan) July 6, 2022<\/a><\/p><\/blockquote>\n