🎉 $SILVERCHAT GIVEAWAY 🎉 Celebrate the addition of $SILVERCHAT to Klever Wallet! 10 randomly selected winners will share a total prize pool of 144,500 SC. 💜 To enter: ✅ Follow @klever_io and @silverchat_coin ✅ Like and repost this announcement ✅ Tag 3 friends in the replies ✅ Share a screenshot showing your $SILVERCHAT address in Klever Wallet 📅 October 7–11 🏆 Winners announced and prizes distributed October 13–14. Complete all tasks for a chance to win! 🚀

Same ecosystem, feeding the same system. Appreciate the Silverchat team for backing ethereum:0x4e67db19044549ff420860834c91b45bad298722 the way they have. 🤝

🔮 New prediction market platform! Secured by Kleros as the final arbitrator.

Thank you for the support! 🫡 🙏 Broad ecosystem contributions is how we ensure continuity of funding for critical core protocol stewardship

Riddle 3 is live. 1,000,000 $SC to the first who opens it. The last two fell in a day and in 13 minutes. This one won't. It's a lock that takes hours to turn, even with the best AI and the fastest machine. No shortcut, no crowd of machines to share it. silverchat.cash/riddle 2/ "Zei found a box that would not be hurried." Bring three things the page remembers, turn the lock, and eight words come out. Seal them, reveal them, take the prize. Who starts first matters, but who thinks first matters more.

Railgun

Doing a bit of a self-experiment. Goal: use my personal health and travel data to provide personalized diet and exercise recommendations for me, using frontier models but in a way that avoids leaking to them any private information. Strategy: use a local model (Qwen 3.8 Flash Next) to orchestrate, and use powerful remote models as a tool call to benefit from higher-level thinking and knowledge that the local model does not have. Three-layer approach to privacy: Avoid leaking personally identifiable information, or leaking my identity through writing style -> local model writes the queries to the frontier model, not me Avoid leaking who I am through the payment channel -> zkAPI Avoid leaking who I am through networking / IP -> Tor You need all three (and finally we have all three, at least to some extent) A skill file teaches the local model when and how to construct minimally-data-revealing requests to remote models. Use zkAPI-wrapped-with-Tor as a CLI tool. And everything works! I got the recommendations back, info from frontier models helped to improve them. Main deficiencies: * Tor is really not optimized for request-by-request de-linking, which is the only form of network-layer privacy that really makes sense in today's world (long-running identifiers are too fragile). Probably not private enough, and latency 10-100x higher than it could be, at the same time. * The skill file's request construction strategies are definitely far from optimal. * Qwen 3.8 Flash Next is still too slow for comfort. It's comfortably running at 20-30 TPS, but it would only really start to feel fast at 100+ * There is a tradeoff: the more careful you are about what data you give to a remote model, the less it can help you github.com/ethereum/zkapi/pu…

Every hardworking team deserves support and we want to support those teams that have launched on our platform in this way. As we mentioned before, tokens will be changed regularly every few days/weeks (depends on their performance and other tokens launched on our platform). It's not like these three tokens will be getting buybacks/burns forever.