![]() However, it doesn’t showcase the powers that a user can exert on the world when running live. Isabella invited friends, and those agents asked some people.Ī demo using recorded data from an earlier demo is web-accessible. But several agents arrive at the character’s house later in the day to party. The question is, does the simulation seem life-like? One fascinating example is the paper’s authors created one agent (Isabella) intending to have a Valentine’s Day party. Additionally, the LLM can replan and figure out what it wants to do. The memory is a time-stamped text stream that the agent reflects on, deciding what is important. In addition, they have memories of objects, other agents, and observations that they can retrieve, which allows them to create a plan for their day. Each agent has a short description to help provide context to the LLM. ![]() The simulation has a few dozen agents that can move across the small town, do errands, and communicate with each other. Researchers at the University of Stanford and Google Research have released a paper about simulating human behavior using multiple Large Language Models (LMM). ![]() But what if we could peer down into a miniature world and the ants spoke English? (PDF whitepaper) For us humans, we project a complex inner world for each of these tiny creatures to drive the narrative. ![]() Thousands of ants are moving about and communicating with other ants as they work towards a goal as a collective whole. Watching an anthill brings an air of fascination. ![]()
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