• just don’t use it
• become extremely knowledgeable on how it works, so that you can have coherent and pointed arguments with people on the pitfalls that the systems have. You don’t need to use it to understand the technical foundations.
• understand the infrastructural shortfalls - that is, investment cycle/ROI impossibility given the generational cycles that have become apparent in ML infra, the power requirements and impact (both direct and second order), as well as the broader ecological impact (beyond just power, but also exacerbated by the makeup of most energy grids outside of China)
• understands the copyright and licensing implications and hypocrisy that the vast majority of LLM and generative platforms have made an implicit yet pervasive part of their training sets, and how it is currently understood to be algorithmically impossible to excise one particular element from a training set post-training (thus implicitly violating GDPR’s “right to forget”)
• check out the studies that indicate over reliance on generative platforms can meaningfully negatively affect cognitive aptitude and reasoning ability.

There’s a lot more you can dig into, and that is by no means an exhaustive list. The more you learn about the nuance of how this shit works, the more you’ll be able to poke huge fucking holes in pretty much any argument anyone makes.