4 ms·
So this is an actual problem I am considering and have an approach. Talking essentially about our inability to know: 1) if a piece of content is a fact or not
by intended 1y ago
So this is an actual problem I am considering and have an approach. Talking essentially about our inability to know:
1) if a piece of content is a fact or not.
2) if the person you are acting with is a human or a bot.
I think its easier if you take the most nihilistic view possible, as opposed to the optimistic or average case:
1) Everything is content. Information/Facts are simply a privileged version of content.
2) Assume all participants are bots.
The benefit is that we reduce the total amount of issues we are dealing with. We don’t focus on the variants of content being shared, or conversation partners, but on the invariant processes, rules and norms we agree upon.
So We can’t agree on may be facts - but what we can agree on is that the norms or process was followed.
The alternative, to hold on to some semblance or desire to assume people are people, and the inputs are factual, was possible to an extent in an earlier era. However the issue is that at this juncture, our easy BS filters are insufficient, and verification is increasingly computationally, economically, and energetically taxing.
I’m sure others have had better ideas, but this is the distance I have been able to travel and the journey I can articulate.
Side note
There’s a few Harvard professors who have written about misinformation, pointing out that total amount of misinfo consumed isn’t that high. Essentially : that demand for misinformation is limited. I find that this is true, but sheer quantity isnt the problem with misinfo, its amplification by trusted sources.
What GenAI does is different, it does make it easier to make more content, but it also makes it easier to make better quality content.
Today it’s not an issue of the quantity of misinformation going up, it’s an issue of our processes to figure out BS getting fooled.
This is all putting pressure on fact finding processes, and largely making facts expensive information products - compared to “content” that looks good enough.