salih

69 posts

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salih

salih

@newpascha

CPO at @zklokomotive zkλ CPO at @dantegpuaas

worm/acc Beigetreten Ağustos 2023
71 Folgt470 Follower
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DanteGPU
DanteGPU@dantegpuaas·
🌿 Hey guys, we built something different. Agora lets you rent AI agents with real blockchain payments. The AI agent launchpad & marketplace. No subscriptions, no corporate gatekeepers. Just pay $dGPU and USDC tokens, get AI power. Demo video shows it working live on @solana mainnet.
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Cryptist
Cryptist@cryptistanbul·
CryptIst is back in Istanbul as a part of @buildersweekist! 🎉 This September, Istanbul becomes the epicenter of Zero-Knowledge once again. Not just another ZK event. @cryptist is the playground. 📅 September 2025 📷 Istanbul, Turkey
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DanteGPU
DanteGPU@dantegpuaas·
The work continues 🌿 1. 🔐 ProviderStore upgrades – Atomic DB ops (Add/UpdateProvider) for data integrity – Indexed lookups + JSON joins = faster, leaner queries 2. 🧠 JobStore integration – Jobs now persist across attempts (success, fail, or no match) – Enables retries, better fault tolerance, and observability 3. ⚙️ Task scheduler basics – Matches jobs to best-fit GPU provider (model, count, etc.) – If none found, job gets retried automatically via Nak $dGPU
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ETHIstanbul
ETHIstanbul@ETHIstanbul_io·
🎉 ETHIstanbul is happening on 5-7 September, 2025! 🇹🇷 The time has come. The future of Ethereum is being built in Istanbul. And you’re invited to be part of it. 🌍
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salih
salih@newpascha·
@IZhouyf952700 @dantegpu Good things take time and effort to emerge. We are putting in the effort as a team, and we are confident that our community can provide us with the time.
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baturalp virjiλakrum
baturalp virjiλakrum@baturalpguvnc·
yo @solana fam, dropping a new project tackling a critical issue: an AI solution for detecting fake projects and LLM-generated code repositories on @solana. here's the deal - as projects on chain are exploding, distinguishing legit projects from sophisticated scams has become way more complex than just checking commit history. LLMs can now generate such convincing repos that old school metrics just don't cut it anymore. so we're developing a different approach - our LSTM(RNN) model doesn't just look at surface metrics, it analyzes the development DNA of projects. from code architecture to development patterns, it does a deep dive analysis. think of it as a rug-pull predictor that actually works. (it's not even mvp yet. sometimes because of the data-sets, we sometimes get a response in Chinese and our social credit increases lol XD) technical infrastructure is ready (document), UI/UX and frontend are done. now we're at the crucial part - training the AI model. early tests looking pretty promising. funny enough, AI turned out to be really good at spotting its own kind. initially, we'll offer this as an "API service and AI Platform" , not open source - both to maintain model integrity and prevent potential exploits. to those saying "just check github stats": when you're dealing with millions in TVL, wouldn't you prefer AI-powered solutions over github analytics from 2015? not giving any definite timeline rn. because in an ecosystem where "audit passed" = "hasn't been hacked yet", doing it right is more important than doing it fast. (and yes, we're testing our own repo too as we go :D - phew) btw, due to ongoing @dantegpu development, progress might be a bit slower than usual. if you're interested in this project or want to learn more, feel free to hit me up on telegram.
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baturalp virjiλakrum
baturalp virjiλakrum@baturalpguvnc·
Greetings to all souls, we invite you all to support our open source repo. We can discuss details and bugs one by one in the discussions section, which we will publish soon. Don't forget to star us. github.com/dante-gpu/gpu-…
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