If we step back and examine LLMs more broadly (beyond our personal use cases, beyond "economic impact", beyond the underlying computer science) what we are larg

If we step back and examine LLMs more broadly (beyond our personal use cases, beyond "economic impact", beyond the underlying computer science) what we are largely looking at is an emerging means of collaboration. I am not an expert computer scientist, and yet I can "collaborate" (I almost feel bad using this term) with expert computer scientists when my LLM helps me design my particular algorithm. I am not an expert on Indonesian surf breaks, yet I tap into an existing knowledge base when I query my LLM while planning the trip. I am very naive about a lot of things and thankfully there are numerous ways to integrate with experts and improve my capacity to engage in whatever I am naive about, LLMs offering the latest ground-breaking method. This is the most appropriate lens through which to assess AI and its impact on open source, intellectual property, and other proprietary assets. Alongside this new form of collaboration comes a restructuring of power. It's not clear to me how our various societies will design this restructuring (so far we are collectively doing nearly nothing) but the restructuring of these power structures is not a technical process; it is cultural and political. Engineers will only offer so much help here. For the most part, it is up to us to collectively orchestrate the new power structure, and I am still seeing very little literature on the topic. If anyone has a reading list, please share!