Same with Mastodon, same with Tor. Abstract software people forget that at some point we run into the real world. The glyphs of science and math are not holistically representative of reality, but minified abstraction of reality for portability; it would take many more books to capture all of physics in English, so simplified languages over loaded with meaning to save space came about.
Social media seemed novel af but it’s resolution was the extent of what our computers and networks could handle at the time. Not some finally destination.
Especially with future hardware, RTX 6000, or whatever they call it, and beyond making novel content generation via ML a thing anyone can do, social gabbing in filter bubbles seems even more likely to be on its way out.
We are unique in the universe but not important to its existence. Our automated inference technologies are accurately representing is; I read half a dozen STEM papers last year, even more during lockdown. Comma splices, grammatical errors everywhere. ChatGPT is us in the aggregate.
Even the geniuses of our species are imperfect and hallucinate being better than they are given their accomplishments relative to the laymen.
The court of law is itself an ephemeral hallucination which fails all the time; given the number of people proven innocent, it’s been suggested through analysis up to 25% or more may be incarcerated incorrectly. Drug laws are just one instance of humans hallucinating correct application of courts. YT broke a while back when it AI got hung up on circular logic in a debate about copyright (easily googled).
The burden of proof of “correctness” is on humans to prove their society is not merely a titillating hallucination.
We made computing machines before we had all the abstract semantics to describe it. Do those semantics mean anything to the production of computing machine or are they just a jargon bubble for a minority to memorize and capitalize on relative to those who have no idea wtf they’re talking about.
Social media seemed novel af but it’s resolution was the extent of what our computers and networks could handle at the time. Not some finally destination.
Especially with future hardware, RTX 6000, or whatever they call it, and beyond making novel content generation via ML a thing anyone can do, social gabbing in filter bubbles seems even more likely to be on its way out.