{"id":56049,"date":"2023-04-11T07:49:44","date_gmt":"2023-04-11T06:49:44","guid":{"rendered":"http:\/\/pley2win.com\/crypto-gaming\/ai-bots-mingled-at-a-bar-and-had-a-party-when-researchers-gave-them-a-town\/"},"modified":"2023-04-11T07:49:44","modified_gmt":"2023-04-11T06:49:44","slug":"ai-bots-mingled-at-a-bar-and-had-a-party-when-researchers-gave-them-a-town","status":"publish","type":"post","link":"https:\/\/pley2win.com\/?p=56049","title":{"rendered":"AI bots mingled at a bar and had a party when researchers gave them a town"},"content":{"rendered":"


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A society of 25 artificial intelligence (AI) bots were observed waking up, cooking breakfast, heading to work, going to the bar for lunch with friends and even throwing a party by six researchers who created a town for the bots.<\/p>\n

The researchers from Google and Stanford University explained in an April 7 paper titled \u201cGenerative Agents: Interactive Simulacra of Human Behavior\u201d that they built a virtual town populated with ChatGPT-trained \u201cgenerative agents.\u201d<\/p>\n

The purpose of the study \u2014 which is yet to be peer-reviewed \u2014 was to create a small, interactive society of AI bots inspired by life-simulation games such as The Sims.<\/p>\n

The agents could make a wide range of inferences about themselves, other agents and their town of \u201cSmallville\u201d by synthesizing new information, storing it in memory and then behaving in a way that reflects that knowledge.<\/p>\n

A bird’s-eye view of Smallville, which consists of houses, a park, a bar, a shopping center, a pharmacy and a college. Source: Arxiv.org<\/em><\/figcaption><\/figure>\n

For example, the agents could turn off their kitchen stove when they see their breakfast is burning, coordinate plans and even engage in seemingly meaningful conversations with other agents.<\/p>\n

The results led the researchers to conclude that the generative agents produce \u201cbelievable\u201d human behaviors:<\/p>\n

\u201cBy fusing large language models with computational, interactive agents, this work introduces architectural and interaction patterns for enabling believable simulations of human behavior.\u201d<\/p><\/blockquote>\n

One example shared in the study explained that the AI agent \u201cIsabella Rodriguez\u201d invited nine other agents to a Valentine\u2019s Day party at the town’s cafe.<\/p>\n

The details of the party were passed on to four others, including \u201cAbigail,\u201d who then expressed excitement about the upcoming event with Isabella. <\/p>\n

A string of conversations that were carried out between the AI agents in relation to the upcoming Valentine’s Day party. Source: Arxiv.org<\/em><\/figcaption><\/figure>\n

In another example showing the \u201cday in the life\u201d of an AI agent, \u201cJohn Lin\u201d woke up at 7 am, brushed his teeth, had a shower, ate breakfast and checked the news at the dining table in his living room.<\/p>\n

Before John’s son Eddy headed off to school, John asked what he\u2019ll be working on for the day, Eddy responds and John remarks on it before sharing the news with his \u201cwife,\u201d Mei. <\/p>\n

A morning in the life of a generative agent, John Lin with his wife Mei and son Eddy. Source: Arxiv.org<\/em><\/figcaption><\/figure>\n

However, not everything went right in the experiment.<\/p>\n

While the memory of each AI bot would enlarge with each passing interaction, sometimes the most relevant information wouldn\u2019t be retrieved, and as a result “some agents chose less typical locations for their actions.”<\/p>\n

Related: <\/em><\/strong>Elon Musk and tech execs call for pause on AI development <\/em><\/strong><\/p>\n

For example, when agents were deciding where to have lunch, many initially chose the town cafe, however, the researchers said:<\/p>\n

“As some agents learned about a nearby bar, they opted to go there instead for lunch, even though the bar was intended to be a get-together location for later in the day unless the town had spontaneously developed an afternoon drinking habit.”<\/p><\/blockquote>\n

In another example, some AI agents walked into shops in Smallville that were closed, while some college students walked in on others in the dorm bathroom because they thought it could be occupied by more than one age.<\/p>\n

The researchers said they will soon expand on the \u201cexpressivity\u201d and \u201cperformance\u201d of the AI bots through the more advanced GPT-4, the latest iteration of ChatGPT, which has passed United States high school and law exams in the 90th percentile. <\/p>\n

Magazine: <\/em><\/strong>NFT Creator, Emily Xie: Creating \u2018organic\u2019 generative art from robotic algorithms<\/em><\/strong><\/p>\n