Round number

Even though about 70% are bots, but the real ones are cool people

Passionate about simplifying Web3 data | Cast Alerts bot t.me/CastAlertsBot | Frames analytics framly.pages.dev | Decoder https://github.com/3loop/loop-decoder

"Congrats", I think. 🤔😅. But I wonder how can farcaster get rid of bots though...

Sawubona. https://nf.td/nemb. Building Web3 DX & infra tooling @ AlcyoneLabs

I suspect that the best tool against bots is social signals and automated banhammer tool. I can often tell relatively easily when a bot is, so sending a signal that could be crowd sourced and crowd verified could be a sure shot way to build reliable "bot databases", then automate banning the users that have crossed that threshold on your own account. I personally manually do that extensively, but its painful, and doesn't help anyone else.
On the downside, I suppose it would incentivize botters to build "smarter" strategies, but then the "community notes" of sorts would likely catch up, added to the 5 USD upfront cost, most likely it would mitigate widespread bots.

Yeah, but esp with AI, getting rid of bots sees unlikely on social networks - looks like we’ll just have to embrace them!