The summary that an LLM can provide is not just of one text, but of all the texts about the topic it has access to. Thus you never need to access the actual texts itself, just whatever the LLM condenses out of them.
How do you determine the trustworthiness of those other sources when an ever increasing portion are also LLM generated?
All the "you just need to" responses are predicted on being able to police the LLM output based upon your own expertise (e.g., much talk about code generation being like working with junior devs, and so being able to replace all your juniors and just have super productive seniors).
Question: how does one become an expert? Yep, it's right there: experts are made through experience.
So if LLMs replace all the low experience roles, how exactly do new experts emerge?
The problem comes in when 99.999999% of other sources are also bullshit.
Beyond HN, I think this will translate in video content and reviews becoming more trustworthy, even if it's just a person reading a LLM-produced script. You will at least know they cared enough to put a human in the loop. That and reputation. More and more credit will be assigned based on reputation, number of followers, etc. And that'll be until each of these systems get cracked somehow (fake followers, plausible generated videos, etc.).
But GPT text is inherently deceptive, even when factually flawless— because we humans never evaluate a message merely on its factuality. We read between the lines. The same way insects are confused and fly in spirals around light, we will be flying spirals around GPT text based on our assumptions about its nature or the nature of the human whom we presume to have written it.