1 SALESFORSALESFORCE FUTURESCE FUTURES ANTICIPATING PERSONAL AGENTS: FEASIBILITY In a recent New York Times REASONING interview, the neuroscientist Charan Ragnarath points out, If you’ve seen Her, “we [humans] have a longer you’ll remember timeline in which we can the OS1 onboarding integrate information than many scene where Joaquin other species.” Humans bring an Phoenix’s character, incredible amount of contextual Theodore Twombly, knowledge to any situation, is guided through a and it’s a significant challenge short series of personal for agents to replicate that. questions to con昀椀gure Innovative companies his AI. are already considering workarounds. For example, Memorably, he’s asked, the ability to curate a personal “How would you describe your AI’s memory may become a relationship with your mother?” critical feature. OpenAI recently Theodore begins a stuttering announced memory control answer, but as he’s just getting features in ChatGPT, explicitly going, the onboarding process giving users control over which surprises him by cutting him off. interactions are remembered The OS has extracted enough and which are forgotten. information to make the design Apple’s new Journal App choices it needs to start off with. prompts users to add rich Over the course of the film, written or audio notes to Theodore’s AI, Samantha, contextual information the continues to learn and adapt. device already has access to, The ability suggested by this such as photos that were taken, onboarding scene to extract or locations where time was meaning and determine spent, or calendar appointments. complex choices from limited This is a potentially powerful information evokes a powerful step towards assembling a machine intelligence with full contextual understanding; sophisticated reasoning backwards-looking to begin capabilities. In reality, how such with but perhaps capable of reasoning might work informing a personal agent in at scale is an open question. the future. ISSUE 1: PERSONAL AI | 11