576 - Using LLMs at Oxide | RFD | Oxide
Large language models (LLMs) are an indisputable breakthrough of the last five years, potentially profoundly changing the way that we work. As with any extraordinarily powerful tool, LLM use has both promise and peril — and that they are so general-purpose leaves real questions about how and when they should be used. The landscape is shifting so rapidly that static prescription is unlikely — but that LLMs are evolving so quickly also gives urgency to the question: how should LLMs be used at Oxide? As is our wont, it’s helpful to look at LLM use through the lens of our values, several of which come to mind, listed here in priority order: Responsibility: In terms of LLM use at Oxide, our lodestar is our sense of responsibility. However powerful they may be, LLMs are but a tool, ultimately acting at the behest of a human. Oxide employees bear responsibility for the artifacts we create, whatever automation we might employ to create them. That is, human judgement remains firmly in the loop: