There is one solution that is not yet economically feasible. It is practically possible to train a “guardian” ML model to perform vetoing of notes that reach the person’s eyes, and have a tunable threshold 🐶🐾🤔
Discussion
I had no idea. Perhaps a solution is at hand.
Let me think about how we can make it economically feasible. We can do it now already, but at great and unsustainable cost. 🐶🐾🫡
Yes, women should be able to put up a "gentlemen only, please" sign and keep the riff-raff from interacting with her, at all.
Having to mute them means I had to see them and possibly their "artwork", first.
Does seem like something ML would be good at preempting, like an electronic doorman.
And mutes need to finally transport effectively across clients and be persistent.
Everytime I switch, they pop back up and I have to remute, and I can see their convos with other npubs and their boosts and pervy/antagonistic reactions, reposts and zaps.
I had Compromised Account regularly popping up in my Amethyst feed and notifications, for instance.
Absolutely! I wouldn’t mind to have one for myself tbh. I am thinking that all notes from follows should be allowed, reposts from non-followed should be scanned at low scrutiny level, replies from non-followed should be scanned at different levels depending and npub reputation. All the parameters should be configurable by the users (levels per sentiment). This will require for the user to use a single aggregator relay, but I think it’s very much doable. 🐶🐾🤔
Am I to believe, to condense this idea down to it's most basic elements, that you are suggesting an AI that will go out and mute people for you BEFORE you have some unsavory encounter?
Could we go a step further and surmise that this could lead to the idea of 'pre-crime'?
Somebody I follow says X and Y but not Z
I simply cannot tolerate Z, and since people who speak of X and Y invariably follow it up with Z, I filter them out on the presumption that they WILL offend me in the future for something not yet come to pass?
Not exactly. No muting will happen, notes that user “tunes” to be not welcome, will not be delivered to the client. If user follows the other person, then they could have an option not to filter at all 🐶🐾🫡
I see. The possibilities of AI frighten me for the simple reason that I don't know what they are, and inversely, their limitations.
It is not LLM AI, it is just an ML model that rates the text content based on its themes. Just like your regular spam filter but a bit smarter 🐶🐾🫡
These abbreviations are jargon to me, must research this.
Can zaps be used like hash cash’s intended use, but on the protocol level?
Not sure what you mean, please elaborate. 🐶🐾🤔
HC - Cut down on email spam by proving some amount of work was done to send the message to the receiver.
Zap Stamp - Like a black list/white list on an email filter, but the threshold to post for any replying/commenting npub is “x amount of sats”.
For someone like Roya, all npubs would be prevented from replying without putting up the “zap stamp” fee (the amount of sats Roya receives before a reply/comment can be published to her original note) UNTIL an npub is added to an approved posting list that waives the fee (this list would remain small because it is one she manages as her own web of trust).
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This may be too complex right now with zaps being a tad buggy in the sense that clients are doing zaps/wallets in different ways.
You mean that you'd have to zap-to-interact?
Yes.
Keeps bots down, but not creeps.
Right? That might actually increase creep ratio 🙃
I disagree. Right now it’s effortless to spin up npubs so mute list is as effective as blocking bots on twitter.
Real humans wanting to be creeps to a user like Roya online using Nostr would have to expend more time and money to continue their antics.
You would have to set the price high enough to be onerous, and then the normies will stay away.
I'd like something like this to block adult inages and other degenerate content. I wabr to be able to check nostr without worrying about family and kids seeing something obscene on my phone