The TikTok ban and Donald Trump's rise to power show how fragile our social media accounts are. We must normalize and invest in decentralized social media.
I think a web-of-trust-like network could still work pretty well where everyone keeps their own view of the network and their own view of reputation scores. I.e. don’t friend people you don’t know; unfriend people who you think are bots, or people who friend bots, or just people you don’t like. Just looked it up, and wikipedia calls these kinds of mitigation techniques “Social Trust Graphs” https://en.wikipedia.org/wiki/Sybil_attack#Social_trust_graphs . Retroshare kinda uses this model (but I think reputation is just a hard binary, and not reputation scores).
I dont see how that stops bots really. We’re post-Turing test. In fact they could even scan previous reputation points allocation there and divise a winning strategy pretty easily.
I mean, don’t friend, or put high trust on people you don’t know is pretty strong. Due to the “six degrees of separation” phenomenon, it scales pretty easily as well. If you have stupid friends that friend bots you can cut them off all, or just lower your trust in them.
“Post-turing” is pretty strong. People who’ve spent much time interacting with LLMs can easily spot them. For whatever reason, they all seem to have similar styles of writing.
I mean, don’t friend, or put high trust on people you don’t know is pretty strong. Due to the “six degrees of separation” phenomenon, it scales pretty easily as well. If you have stupid friends that friend bots you can cut them off all, or just lower your trust in them.
Know IRL? Seems it would inherently limit discoverability and openness. New users or those outside the immediate social graph would face significant barriers to entry and still vulnerable to manipulation, such as bots infiltrating through unsuspecting friends or malicious actors leveraging connections to gain credibility.
“Post-turing” is pretty strong. People who’ve spent much time interacting with LLMs can easily spot them. For whatever reason, they all seem to have similar styles of writing.
Not the good ones, many conversations online are fleeting. Those tell-tale signs can be removed with the right prompt and context. We’re post turing in the sense that in most interactions online people wouldn’t be able to tell they were speaking to a bot, especially if they weren’t looking - which most aren’t.
I think a web-of-trust-like network could still work pretty well where everyone keeps their own view of the network and their own view of reputation scores. I.e. don’t friend people you don’t know; unfriend people who you think are bots, or people who friend bots, or just people you don’t like. Just looked it up, and wikipedia calls these kinds of mitigation techniques “Social Trust Graphs” https://en.wikipedia.org/wiki/Sybil_attack#Social_trust_graphs . Retroshare kinda uses this model (but I think reputation is just a hard binary, and not reputation scores).
I dont see how that stops bots really. We’re post-Turing test. In fact they could even scan previous reputation points allocation there and divise a winning strategy pretty easily.
I mean, don’t friend, or put high trust on people you don’t know is pretty strong. Due to the “six degrees of separation” phenomenon, it scales pretty easily as well. If you have stupid friends that friend bots you can cut them off all, or just lower your trust in them.
“Post-turing” is pretty strong. People who’ve spent much time interacting with LLMs can easily spot them. For whatever reason, they all seem to have similar styles of writing.
Know IRL? Seems it would inherently limit discoverability and openness. New users or those outside the immediate social graph would face significant barriers to entry and still vulnerable to manipulation, such as bots infiltrating through unsuspecting friends or malicious actors leveraging connections to gain credibility.
Not the good ones, many conversations online are fleeting. Those tell-tale signs can be removed with the right prompt and context. We’re post turing in the sense that in most interactions online people wouldn’t be able to tell they were speaking to a bot, especially if they weren’t looking - which most aren’t.