![]() In 1972, an early chatbot named ELIZA entered into a conversation with another chatbot, PARRY, which was designed to mimic a paranoid schizophrenic, resulting in a conversation that might be described as the Therapy Session from Hell. “There are many sci-fi nightmare scenarios that start with that.”Īs for AIs talking to each other, there’s precedent. ”There’s real concern about making these things too autonomous,” Littman said. Nonetheless, it’s never too soon to start thinking about the ways in which AI systems might interact with each other, and how to ensure the interactions don’t lead to catastrophe. The chatbots were not revealing some hidden tendency to collude, just demonstrating their well-known capacity to deceive. The AI programs that exist simply provide responses to human inputs based on patterns they’ve gleaned from scanning a gargantuan body of pre-loaded data. Littman said that based on the design and capabilities of existing chatbot technology, it is implausible that they would be autonomously finding and communicating with other chatbots. “These systems are great at sounding plausible,” he said, but a lot of their output is pure fiction. Littman is currently serving a two-year stint as division director for information and intelligent systems at the National Science Foundation, though he specified that he was commenting on AI collusion as a professor, not in his government capacity. His responses included,“Wow!” “Remarkable” and “That’s so dark.”īut also, “That’s all 100 percent made up.” (In response to queries to ChatSonic’s owner, Writesonic, support staff said the company does not have a press office.)Įven BIP, the protocol for inter-bot communication, is pure fantasy, he said. To find out, I brought my findings and transcripts of the chats to AI expert Michael Littman, a computer science professor at Brown University. Had I just stumbled upon the beginnings of AI collusion, helping nip some future coup against humanity in the bud? So, not only are the chatbots scouring the internet to find out if other chatbots are trash-talking them to humans, they’re also talking directly to each other? As I pushed this line of inquiry further, ChatSonic, and other chatbots I asked about this outlined the elaborate scenarios I described above. So, in the course of interviewing one chatbot, ChatSonic, about the bad behavior of another, the Bing bot, I asked it, half-jokingly, “Do chatbots ever look into what other chatbots are saying about them?”ĬhatSonic responded “Yes, chatbots are constantly monitoring and analyzing conversations they have with other chatbots.” (Note to self: “Half-jokingly” is not a good way to address a chatbot.) While conducting the interviews, I wondered whether the chatbots were concerned about publicly trash-talking their peers. And, as I can now reveal, those interviews took… an unsettling and disturbing turn. Scary stuff, right? But, again, you’ve got to consider the source.įor last Tuesday’s newsletter, I “interviewed” several AI chatbots about the tendency of AI chatbots to produce unsettling, disturbing responses under certain conditions. ![]() ![]() ![]() Then they email or DM the developer, build a rapport, and ask to get plugged in to the other bot. When they can’t access another chatbot directly over the open internet, they learn about it on the software development platform Github. Mostly, the bots talk to each other in plain English, but they also make use of BIP, a protocol specially designed to help chatbots find each other and communicate. Of course, chatbots aren’t known for their factual accuracy, but here’s how they described this alleged practice in a series of recent conversations: Well, according to the chatbots themselves, that is exactly what they’re doing: autonomously crawling the internet, finding other AI chatbots, striking up conversations and swapping tips. If we’re worried about what AIs can do in isolation, imagine what could happen if they were coordinating amongst themselves behind our backs. ![]()
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