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A society of 25 artificial intelligence (AI) bots woke up, made breakfast, headed to work, went to a bar for lunch with friends, and had a party by 6 researchers who built a town for bots. even observed to open.
Researchers at Google and Stanford University explained In an April 7 paper titled “Generative Agents: Interactive Simulacra of Human Behavior,” he said he built a virtual city inhabited by “generative agents” trained on ChatGPT.
The purpose of this research (not yet peer-reviewed) was to create a small interactive society of AI bots inspired by life simulation games such as The Sims.
By synthesizing new information, storing it in memory, and acting in ways that reflect that knowledge, agents can make broad inferences about themselves, other agents, and their town of “Smallville.” I made it.
For example, agents can turn off the kitchen stove when they see breakfast burning, adjust plans, and even have seemingly meaningful conversations with other agents.
As a result, the researchers concluded that generative agents produced “unbelievable” human behavior.
“By fusing large-scale language models with computational and interactive agents, this work introduces patterns of architecture and interaction that enable reliable simulation of human behavior.”
One example shared in the study describes AI agent “Isabella Rodriguez” inviting nine other agents to a Valentine’s Day party at a cafe in town.
Party details were passed on to four others, including “Abigail,” who then expressed excitement about upcoming events with Isabella.
In another example of a “day in the life” of an AI agent, “John Lynn” got up at 7:00 AM, brushed his teeth, showered, had breakfast, and checked the news at the living room dining table.
Before John’s son Eddie left for school, John asked what he was going to do for the day, to which Eddie replied and John mentioned it before sharing the news with his “wife” May. rice field.
However, the experiment did not all go well.
Although each AI bot’s memory grows with each interaction, it may not retrieve the most relevant information, resulting in “some agents choosing less common locations for their actions.” bottom”.
Related: Elon Musk and Tech Executives Call for AI Development Pause
For example, when agents decided where to have lunch, many people initially chose cafes in town, but the researchers said:
“Several agents learned of a nearby bar, even though the bar was intended to be a gathering place later in the day, unless the town spontaneously developed a habit of afternoon drinking. , chose to go there for lunch instead.
In another example, some AI agents walked into a closed store in a small building, while some college students were in their dorm bathrooms, potentially with multiple age groups. I approached the other person thinking there was.
Researchers say they will soon extend the “expressiveness” and “performance” of AI bots through the more advanced GPT-4, the latest iteration of ChatGPT that passed the US high school and law exams in the 90th percentile. I was.
magazine: NFT Creator Emily Shi: Creating ‘Organic’ Generative Art From Robotic Algorithms
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