I think @jeffjarvis takes the right lessons from media history into the ChatGPT/LLM debates in his response to Ted Chiang

Looking back at historical technological shifts, we see folks worried about potential harms—of, say, the printing press. But our lesson isn’t "look how silly they were!" because in every case they were partly right—the press did contribute to more misinformation, even violence

https://medium.com/whither-news/journalism-is-lossy-compression-86380f0bdb50

Journalism is Lossy Compression - Whither news? - Medium

There has been much praise in human chat — Twitter — about Ted Chiang’s New Yorker piece on machine chat — ChatGPT. Because New Yorker; because Ted Chiang. He makes a clever comparison between lossy…

Whither news?
but as @jeffjarvis also shows, those same histories show it takes time & experimentation to understand what a new technology will actually change & what guardrails we need to create around it—there are zero cases where we fully understood a new medium & could manage it from the outset, because a medium’s eventual shape is completely opaque in the moment of its creation—a primary reason to study these histories is to learn to evaluate our own shifts *slightly* more efficiently
our historical lenses are curved in such a way that we look back at "printing" as a singular event co-terminus with the positive developments we associate with the technology, but @jeffjarvis notes there were at 100 years of significant turmoil as people figured all that out—that all gets collapsed in the rear-view—I appreciate holding both the dominant effects of print (stability, fixity) in tandem with the messy realities that inevitably complicate that narrative
I’m also sitting with @afamiglietti79’s post on this same topic today, because I tend to agree that the real dangers of ChatGPT-integrated-search are likely not the big headline-grabbing mistakes, but the subtle mistakes & dark corners it might open up—& those real harms are something we can’t waive away—we have to be developing ways to advocate, fix, & even yes sometimes resist these effects https://afamiglietti.org/uncategorized/the-articulation-where-llms-could-do-harm/
@ryancordell @afamiglietti79 That’s a great piece. Thanks for suggesting it.