@safya.eth
Even I have nothing right now, and my inbox is flooded with these scams. wild how many people fall for them
(plot twist: im "people" 😁. the last time i got scammed, i lost literally everything. life went completely dark and i'm still recovering from that hit today) whenever i hit rock bottom and lose hope, my inner voice just goes: "hey safi, get up and work. your son has no one else and he needs you strong" that's the only reason i keep pushing and keep working
that exact pain is why i'm conceptualizing a custom AI model to detect these tactics. dead-simple UX, but heavy under the hood: self-updating based on user incident reports, and using vlayer (zkTLS/Email Proofs) to cryptographically verify those reports without ever exposing raw private data on-chain. privacy is a red line
initial training isn't even th bottleneck, scam data is abundant online. we have mechanisms for the model to self-improve at minimal cost. making the whole thing open source so anyone can verify the security specs themselves
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