Another Ponzi scheme, but this time on BNB.
$500,000 worth of users entered.
Profit:
Day - 8%
Week - 57%
Month - 243%
Mostly unknown, which is important for Ponzi schemes, as subsequent users are your exit liquidity.
The contract has a fixed commission of 5%, so keep that in mind when entering.
The Ponzi scheme is much more positive than what we saw on Solana.
think there are two core components for @ethos_network that continues to need refinement for it to be more widely and narrowly useable. a few thoughts.
score breadth: reputation is nice as a catch phrase, but realistically it is a bit loaded of a concept. in more standard examples, reputation isn't a composite score but you have different scores for different types of 'reputation' depending on the specific area. a credit score is different than your test scores and those are different than your social etc. similarly for crypto, think the current composite score is too broad and will require a bit of thinking as to what the current score is most useful for and what potential other derivative or separate scores would be. know there was some vibe coding on this recently, but think this is inevitable as someone's reputation in one arena (selecting investments) can be completely divorced from another (social acceptance).
data strength and gaps: reputation components today rely on reviews and vouches as that was likely the easiest way to start for a variety of reasons, but largely think that if they remain the two strongest components, the system won't work well. as we've seen, both can be gamed and regardless of the current shifts, you have a situation where the vast majority of both reviews and vouches today are purely for score or points benefit. additional the short longitudinal span also gives scores an incredible recency bias. it wouldn't make sense for a credit score to be based on referrals and largely think that ethos will need to rely more heavily on things like tx/wallet/perhaps even irl or other empirical data that is less about the platform and social bias and more about historical record of action over time. think this also helps limit scores of people with influence in a domain and probably the prime example would be serpint. seems like a good dude, but think it's fair to say his score would not be nearly as high if he wasn't the founder and think it's something that can't be mitigated for in the current structure.
think what ethos is trying to accomplish is quite ambitious and the early days of it still, so just interesting to see how they continue to move and test. think some of the recent shifts are fine to help balance scores, but there are more fundamental underlying components to solve for that probably require additional opting in of information that the average CT particpant may or may not be willing to provide.
Good morning ☀️ gidOS
Trust used to be personal.
Now it scales through systems.
When verification networks begin to collaborate,
proofs start talking to each other.
Each interaction becomes a small act of alignment.
Partnerships like idOS and Billions make that alignment real,
turning verification into shared presence.
idOS builds this shared language,
where trust feels simple again,
moving quietly across identities.
A quiet foundation built by @idOS_network
@LdMila810824 how’s the translation process? is it faithful to the original text? always interesting to see different interpretations in literature. keep sharing insights!
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