Dan Romero
@dwr.eth
This is not true. If you cast outside of a channel, it just goes to your followers. Casting in a channel gives it the potential to be seen by more people.
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Tom Jeans
@thomasjeans
youβre missing the point I have the same feeling as @zkp casting with no channel feels like kind of a waste unless youβre an auto follow account when users are coming up with hacks like creating their own version of /no-channel there might be an opportunity
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Dan Romero
@dwr.eth
How do you determine if a cast is from a good user without a power badge vs. a spammy user without a power badge?
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raulonastool.eth π© π°
@raulonastool
it's subjective, but quality of content is first thing I look for. Do they show some semblance of being human. One thing I'm cautious of is if I feel they appear spammy because they are non-native English speakers. In that case I look at their cast history. If it appears all of their casts are value extractive (fishing for like, follows, tips, airdrops, etc.), then I write them off as spammy. If casts are more sparse, and generally closer to sharing thoughts, observations and opinions, then I know they're human. There's a bit of a Turing test element to it.
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Dan Romero
@dwr.eth
Sure. But how do you do that algorithmically? What happens when bots use LLMs to appear human but the content is rubbish?
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raulonastool.eth π© π°
@raulonastool
that's more of a research question. I'm sure there are teams experimenting with DIDs and proof-of-humanity for crypto applications. I think you're right that LLMs make this harder, but I also think there are patterns in the way an LLMs write that can used. How do AI Content Detectors work for school work?
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Dan Romero
@dwr.eth
You're conflating things here, though. There are: 1. Humans operating the Warpcast mobile app 2. Using LLMs to appear more interesting 3. That are posting uninteresting / rubbish content There's no AI that will reliably identify this.
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