From the deployment of chatbots as procurement negotiators by corporations such as Walmart to autonomous agents providing 'differentiated chat' for managing overbooked flights, synthetic media are making the world of logistics their 'natural' habitat. Here the coordination of commodities, parts and labour design the problems and produce the training sets from which 'solutions' can be synthesised. But to what extent might synthetic media, surfacing via proto-platforms such as MidJourney and OpenAI and apps such as Eleven Labs and D:ID, be understood as logistical media? This paper details synthetic media experiments with 'ChatFOS', a GPT-based bot tasked with developing a logistics design business. Using its prompt-generated media outputs, we assemble a simulation and parody of AI's emerging functionalities within logistical worlds. In the process, and with clunky 'human-in-the-loop' stitching, we illustrate how large language models become media routers or switches, governing production of image prompts, website code, promotional copy, and investor pitch scenarios. Together these elements become links chained together in media ensembles such as the corporate website or the promotional video, fuelling the fictive logistics visualisation company we have 'founded'. The processes and methods of producing speculative scenarios via ChatFOS lead us to consider how synthetic media might be re-positioned as logistical media. Our experiments probe the ways in which the media of logistics and the logistics of media are increasingly enfolded. We ask: what can a (practice-based) articulation of this double-becoming of logistics and synthetic mediality tell us about the politics and aesthetics of contemporary computation and capital?

翻译：从沃尔玛等企业将聊天机器人部署为采购谈判代表，到自主代理通过“差异化聊天”管理超售航班，合成媒介正使物流世界成为它们的“天然”栖息地。在这里，商品、零部件与劳动力的协调设定了问题并生成了训练集，由此合成出“解决方案”。但通过MidJourney和OpenAI等原型平台以及Eleven Labs和D:ID等应用程序浮现的合成媒介，在多大程度上可被理解为物流媒介？本文详细介绍了基于GPT的“ChatFOS”机器人的合成媒介实验，该机器人被赋予开发物流设计业务的任务。利用其提示生成的媒介输出，我们组装了一个模拟与戏仿，展现人工智能在物流世界中的新兴功能。在这一过程中，通过笨拙的“人在回路中”拼接，我们展示了大语言模型如何成为媒介路由器或交换机，管控图像提示、网站代码、推广文案和投资者推介场景的生成。这些元素共同构成链条，串联成公司网站或宣传视频等媒介集合体，为我们“创立”的虚构物流可视化公司提供动力。通过ChatFOS生成思辨场景的过程与方法，引导我们思考如何将合成媒介重新定位为物流媒介。我们的实验探究了物流媒介与媒介物流日益交织的方式。我们追问：对物流与合成媒介性这种双重生成所做的（基于实践的）阐述，能告诉我们关于当代计算与资本的政治与美学的什么？